A greenhouse gas emission quantification system and method for the whole process of groundwater remediation of an organic contaminated site

Abstract

The application relates to the technical field of data processing, and discloses a greenhouse gas emission quantification system and method for the whole process of groundwater remediation of an organic contaminated site, wherein the greenhouse gas includes carbon dioxide, methane and dinitrogen oxide; the system comprises the following modules: a system boundary module for determining the system boundary and functional units in the life cycle of the site; a remediation technology list module for selecting target remediation technologies; a remediation activity data list module for constructing an activity data list; an emission factor database module for matching or calculating localized greenhouse gas emission factors; a greenhouse gas emission accounting module for calculating greenhouse gas emission results; a data quality evaluation module for performing data quality analysis to obtain a quality score; a sensitivity analysis module for identifying core variables and contribution rates; and an uncertainty analysis module for obtaining the probability distribution characteristics of the emission results. The application can comprehensively and accurately quantitatively evaluate the greenhouse gas emission in the remediation process.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a greenhouse gas emission quantification system, greenhouse gas emission quantification method, terminal, and computer-readable storage medium for the entire process of groundwater remediation of organically contaminated sites. Background Technology

[0002] During industrialization, organic pollutants emitted by industries such as petrochemicals, pharmaceuticals, and organic chemicals enter aquifers through leakage, leaching, and underground migration, resulting in groundwater pollution at organic-contaminated sites. Groundwater organic pollution is characterized by complex occurrence media, diverse pollutant compositions, and significant spatial differences in redox environments. For this type of pollution, extraction treatment, in-situ chemical oxidation / reduction remediation, and in-situ bioremediation technologies are commonly used. These technologies promote pollutant degradation and transformation by regulating the underground redox state, electron acceptor supply, carbon source conditions, or microbial activity. However, this process is accompanied by the generation and release of greenhouse gases such as carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), giving the groundwater remediation process a potential greenhouse gas emission effect.

[0003] The remediation process for groundwater at organically contaminated sites typically includes stages such as remediation investigation, remediation engineering construction, remediation engineering operation and implementation, and monitoring and maintenance. Remediation activities include well construction, reagent injection, earthwork, extraction, facility construction, equipment operation, waste treatment, and in-situ conversion of pollutants. Different remediation stages and activities correspond to different material and energy consumption, reaction conditions, and emission sources, resulting in variations in greenhouse gas emission characteristics.

[0004] Existing technologies attempt to estimate greenhouse gas emissions during groundwater remediation using life cycle assessment or life cycle inventory methods. These methods focus on material and energy consumption, but often employ generic emission factors or industry averages. Due to significant differences across sites in hydrogeological conditions, pollutant types and concentrations, plume extent, underground redox environment, microbial activity, remediation process parameters, and regional energy structures, generic emission factors are insufficient to characterize actual emission levels under specific site conditions, leading to mismatches between emission estimates and real-world remediation scenarios. Furthermore, existing methods do not adequately consider the transformation mechanisms of pollutants during groundwater remediation. They typically fail to effectively couple processes such as chemical redox reactions of organic pollutants, microbial degradation, methane generation and oxidation, and nitrous oxide reduction with greenhouse gas emission quantification, making it difficult to reflect direct emission differences caused by pollutant transformation. In summary, existing greenhouse gas emission accounting methods suffer from insufficient site applicability and inadequate characterization of pollutant transformation processes, making it difficult to objectively quantify the actual greenhouse gas emission levels throughout the entire groundwater remediation process for organically contaminated sites.

[0005] Therefore, existing technologies still need improvement. Summary of the Invention

[0006] The main objective of this invention is to provide a greenhouse gas emission quantification system and method for the entire process of groundwater remediation at organically contaminated sites. This aims to address the problem that existing greenhouse gas emission accounting methods do not adequately consider site differences, differences in remediation activities, and pollutant transformation processes, making it difficult to effectively couple the biogeochemical transformation mechanisms of organic pollutants with greenhouse gas emission processes, thus making it difficult to objectively characterize the greenhouse gas emission levels throughout the entire process of groundwater remediation at organically contaminated sites.

[0007] To achieve the above objectives, the present invention provides a greenhouse gas emission quantification system for the entire process of groundwater remediation for organically contaminated sites. The greenhouse gas emission quantification system for the entire process of groundwater remediation for organically contaminated sites includes: The system boundary module is used to determine the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle; The Repair Technology List module, connected to the System Boundary module and the Repair Activity Data List module, is used to construct the repair technology list and select target repair technologies from the repair technology list that include technology type, process parameters and repair activity type based on the system boundary and functional unit. The activity data list module is connected to the system boundary module, emission factor database module, greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module. It is used to construct the activity data list based on the system boundary, functional units, and target remediation technologies. The emission factor database module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and data quality assessment module, is used to match or calculate the corresponding localized greenhouse gas emission factors based on the activity data list. The greenhouse gas emissions accounting module is connected to the remediation activity data list module, the emission factor database module, the sensitivity analysis module, and the uncertainty analysis module. It is used to calculate the greenhouse gas emissions based on the activity data list and emission factors. The data quality assessment module, connected to the emission factor database module, the remediation activity data list module, the greenhouse gas emission accounting module, and the uncertainty analysis module, is used to perform data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results to obtain a quality score. The sensitivity analysis module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and uncertainty analysis module, is used to identify the core variables and their corresponding contribution rates that have a significant impact on greenhouse gas emission results based on the activity data list and greenhouse gas emission results, using a probability-based global sensitivity analysis method. The uncertainty analysis module, connected to the greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module, is used to quantify the uncertainty in the input parameters and calculation process based on the greenhouse gas emission results, quality scores, core variables, and corresponding contribution rates, and obtain the probability distribution characteristics of the emission results.

[0008] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites includes a remediation technology list module comprising a technology classification unit and a technology screening unit. The technology classification unit is used to construct a list of remediation technologies and to classify groundwater organic pollution remediation technologies according to the type of remediation technology. The types of remediation technologies include traditional remediation technologies and new remediation technologies. The technology screening unit is used to select target remediation technologies from the list of remediation technologies based on pollutant type, pollutant concentration, pollution plume range, hydrogeological conditions, redox conditions, remediation objectives, and remediation cycle. Traditional remediation techniques include: in-situ physical-chemical remediation, in-situ biological remediation, ex-situ physical-chemical remediation, ex-situ biological remediation, and blocking. Novel remediation technologies include: chemical remediation technology based on long-acting sustained-release remediation materials, bioremediation technology based on long-acting sustained-release remediation materials, synergistic remediation technology based on long-acting sustained-release composite materials, and heterogeneous green catalytic remediation technology; Heterogeneous green catalytic remediation technologies include: photocatalytic remediation technology, electrocatalytic remediation technology, photoelectro-catalytic remediation technology, and photothermal catalytic remediation technology.

[0009] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites includes a remediation activity data list module comprising a boundary resolution unit and a list construction unit. The boundary resolution unit is used to determine the repair phase and typical repair activity types to be included in data acquisition based on the system boundary determined by the system boundary module; The list construction unit is used to convert the material consumption, energy consumption and conversion process data corresponding to the repair stage and typical repair activity type determined by the boundary analysis unit into activity data under the unit function, based on the functional unit determined by the system boundary module, to form an activity data list; The activity data list includes: sources of organic carbon and nitrogen conversion, sources of remediation material production and use, and sources of energy development and consumption; Among them, the sources of organic carbon and nitrogen conversion are the carbon and nitrogen mineralization processes of organic pollutants under the action of chemical oxidation, reduction or microbial degradation and transformation; the sources of remediation material production and use are the implicit carbon emissions during the production and use of remediation materials; and the sources of energy development and consumption are the indirect carbon emissions caused by the total energy consumption of transportation, the total energy consumption of equipment use and the total energy consumption of waste treatment during the remediation process. The core items in the activity data list include: organic carbon and nitrogen conversion, well materials, chemical or biological agents, treatment media, building materials, bulk materials, equipment and material transportation, travel methods for staff to and from the remediation site, use of electrical equipment, use of fuel equipment, use of new energy equipment, waste disposal, thermal oxidation or catalytic oxidation devices, and resource consumption.

[0010] Optionally, in the greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, the calculation process for the total transportation energy consumption is as follows: ; ; ; in, Indicates total energy consumption in transportation. Indicates energy consumption for personnel transportation. This indicates the energy consumption for transporting equipment or materials. Indicates the flow rate of groundwater being treated. This represents an index indicating the number of trips made by road transport. This represents an index indicating the number of trips in air transport. This represents an index indicating the number of trips in rail transport. This represents an index indicating the number of trips via waterway transportation. Indicates the number of trips made by road transport. Indicates the number of trips made by air transport. Indicates the number of trips made by rail. Indicates the number of trips made via waterway transportation. Indicates the first The product of the number of passengers and the travel distance during secondary road transport. Statement No. The product of the number of passengers and the travel distance during each air transport trip. Indicates the first The product of the number of passengers and the travel distance during a single railway transport trip. Indicates the first i Fuel consumption per unit distance during secondary road transport. Indicates the first i The calorific value of the fuel used in secondary road transport. Indicates the first Energy consumption per passenger kilometer during each air transport trip. Indicates the first Energy consumption per passenger per kilometer during railway transport. Indicates the unit conversion factor; The calculation process for the total energy consumption of the equipment is as follows: ; ; ; ; in, This indicates the total energy consumption of the equipment. Indicates the energy consumption of electrical equipment. Indicates the energy consumption of fuel equipment. Indicates the energy consumption of new energy equipment. This indicates the energy consumption generated by the electric pump during the groundwater remediation process. This represents the energy consumption generated by other electrical equipment during the groundwater remediation process. This indicates the energy consumption generated by the fuel pump during the groundwater remediation process. This indicates the energy consumption generated by other fuel-powered equipment during the groundwater remediation process. H Indicates the journey. This indicates the density of water. SG Indicates specific gravity; This indicates the overall efficiency of the pump. N Indicates the number of pumps. T This indicates the pump's running time.

[0011] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites includes an emission factor database module comprising a matching retrieval unit, a reaction rate calculation unit, and a missing factor completion unit. The matching and retrieval unit is used to retrieve the corresponding emission factors from the pre-built localized emission factor database based on the names and types of well materials, chemical or biological agents, treatment media, building materials, bulk materials, power equipment use, and fuel equipment use in the activity data list, and outputs the retrieved emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The reaction rate calculation unit is used to calculate the total generation rate of carbon dioxide, methane, and nitrous oxide based on the chemical redox reaction information and microbial degradation and transformation reaction information in the organic carbon and nitrogen conversion process in the activity data list, and outputs the generation rates of carbon dioxide, methane, and nitrous oxide as emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The missing factor completion unit is used to predict and complete the missing emission factors when the matching and retrieval unit fails to find the corresponding emission factors. The completed emission factors are then output to the greenhouse gas emission accounting module and the data quality assessment module.

[0012] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites includes, in part, calculating the total carbon dioxide generation rate using reaction kinetic formulas, specifically comprising: Based on the composition of organic pollutants and the solution phase concentration of active components in the remediation material, the pathway reaction rate of the chemical redox process is calculated: ; in, This indicates the composition of organic pollutants in the aqueous phase. Indicates intermediate product. This indicates the active components in the repair material. express Component pollutants to intermediate products The reaction rate of the chemical degradation pathway. Represents the first rate constant. express The concentration of the component pollutants in the solution phase. Indicates active ingredient The concentration of the solution phase; Calculate the carbon dioxide generation rate during the redox process based on the pathway reaction rate and a specified proportionality coefficient for the conversion of pollutant carbon to carbon dioxide: ; in, This indicates the rate of carbon dioxide production during the redox process. This indicates a specified ratio coefficient for the conversion of pollutant carbon to carbon dioxide in a specified conversion pathway; Calculate the degradation reaction rate of the microbial degradation and transformation process based on microbial biomass, electron acceptor concentration, and organic pollutant concentration: ; in, Components representing electron acceptors express Component pollutants and The degradation reaction rate of the component electron acceptor undergoing microbial degradation and transformation. This represents the second rate constant. Indicates the use of Microbial biomass of component electron acceptors express The concentration of component pollutants, express The concentration of the component electron acceptor, This represents the half-saturation constant of microorganisms. This represents the half-saturation constant of the electron acceptor. express The half-saturation constant of the component pollutants, for The inhibition constant of the component solute on the degradation reaction, This indicates that the product is calculated over all inhibitory components. Indicates the total number of components; Based on the degradation reaction rate and the ratio of pollutant carbon to carbon dioxide in the microbial degradation and transformation process, calculate the carbon dioxide generation rate during the microbial degradation and transformation process: ; in, This indicates the rate of carbon dioxide production during the microbial degradation and transformation process. This represents the ratio at which pollutant carbon is converted into carbon dioxide. The total carbon dioxide production rate is obtained by adding the carbon dioxide production rate during the redox process and the carbon dioxide production rate during the microbial degradation and transformation process. ; in, This indicates the total rate of carbon dioxide formation.

[0013] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, wherein calculating the total methane generation rate using reaction kinetic formulas specifically includes: Based on the maximum methane formation rate and the organic carbon concentration in groundwater, the methane formation rate is calculated using Michaelis-Menten kinetics: ; in, Indicates the methane formation rate, Indicates the maximum methane formation rate. This indicates the concentration of organic carbon in groundwater. The half-saturation coefficient for methane formation. This indicates the temperature sensitivity of methanogens. e Represents the natural constant. Indicates oxygen concentration. This indicates the soil oxygen concentration that reaches the hypoxic condition and causes methane production. Based on the maximum oxidation rate of methane and using Michaelis kinetics, the methane oxidation rate is calculated as follows: ; in, Indicates the methane oxidation rate, Indicates the maximum oxidation rate of methane. and These represent the oxygen concentration and methane concentration in the soil pore volume, respectively. and These represent the oxygen oxidation half-saturation constant and the methane oxidation half-saturation constant, respectively. This indicates the temperature sensitivity of methanogenic bacteria; Calculate the total methane formation rate based on the methane formation rate and methane oxidation rate: ; in, This indicates the total rate of methane formation.

[0014] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, wherein calculating the total formation rate of nitrous oxide using reaction kinetic formulas specifically includes: Under microaerobic conditions, the formation rate of nitrous oxide during nitration was calculated using reaction kinetics formulas: ; in, This indicates the rate of nitrous oxide formation during nitration. This represents the emission factor for the conversion of nitrification into nitrogen oxides. This represents the rate constant of the nitration reaction. Indicates the biomass of ammonia-oxidizing microorganisms. and These represent the concentrations of ammonium nitrogen and dissolved oxygen in groundwater, respectively. and Let represent the half-saturation constants of nitrous oxide and oxygen, respectively. and These represent correction functions for pH and temperature on the nitration process to produce nitrous oxide, respectively. Under anoxic or anaerobic conditions, the net rate of nitrous oxide formation during denitrification was calculated using reaction kinetics formulas. ; in, This indicates the net rate of nitrous oxide production during denitrification. This indicates the proportion of nitrogen oxide intermediates released during denitrification. This represents the rate constant of the denitrification reaction. Indicates the biomass of denitrifying microorganisms. , and These represent the concentrations of nitrate, nitrite, and available organic carbon, respectively. and Let these represent the half-saturation constants of the nitrogen source and the carbon source, respectively. Represents the oxygen inhibition function. and The effects of redox potential and pH on the denitrification process to produce nitrogen oxides are shown respectively. The rate at which nitrous oxide is reduced to nitrogen gas was calculated using reaction kinetics formulas: ; in, This indicates the rate at which nitrous oxide is reduced to nitrogen gas. This represents the rate constant for the reduction of nitrous oxide. Indicates carrying nosZ Nitrous oxide-reducing microbial biomass of functional genes This indicates the concentration of dissolved nitrous oxide in groundwater. and represent the half-saturation constants of nitrous oxide and organic carbon, respectively; Calculate the total nitrous oxide formation rate based on the nitrification formation rate, the net nitrous oxide formation rate during denitrification, and the rate at which nitrous oxide is reduced to nitrogen gas: ; in, This indicates the overall rate of formation of nitrous oxide.

[0015] Optionally, the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites includes a greenhouse gas emission calculation module comprising a carbon dioxide emission calculation unit, a methane emission calculation unit, a nitrous oxide emission calculation unit, and a comprehensive greenhouse effect calculation unit. The carbon dioxide emission calculation unit is used to calculate carbon dioxide emissions based on the emission factor corresponding to carbon dioxide. ; in, This indicates carbon dioxide emissions. This indicates the volume of groundwater affected by the remediation process. Indicates reaction time. This indicates the total rate of carbon dioxide generation during the remediation process. Indicates the first Material or energy consumption of the activity Indicates the first The carbon dioxide emission factor of this activity; The methane emission calculation unit is used to calculate methane emissions based on the corresponding emission factor. ; in, Indicates methane emissions. This represents the total methane generation rate during the remediation process. Indicates the first Material or energy consumption of the activity Indicates the first The methane emission factor of the project; The nitrous oxide emission calculation unit is used to calculate nitrous oxide emissions based on the corresponding emission factor. ; in, Indicates nitrous oxide emissions. This represents the total rate of nitrous oxide formation during the remediation process. For the first Material or energy consumption of the activity For the first The activity's nitrous oxide emission factor; The integrated greenhouse effect calculation unit is used to convert carbon dioxide emissions, methane emissions, and nitrous oxide emissions into integrated greenhouse effect values ​​according to the global warming potential coefficient on a preset annual scale. ; in, This represents the combined greenhouse effect as expressed in carbon dioxide equivalents. This represents the global warming potential of methane on a pre-defined number of years timescale. This represents the global warming potential of nitrous oxide on a pre-defined number of years scale.

[0016] Furthermore, to achieve the above objectives, this invention also provides a greenhouse gas emission quantification method for a greenhouse gas emission quantification system covering the entire process of groundwater remediation for organically contaminated sites, wherein the greenhouse gas emission quantification method includes: The system boundary module defines the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle. The repair technology list module constructs a repair technology list and selects target repair technologies from the repair technology list, which include technology type, process parameters and repair activity type, based on system boundaries and functional units. The Repair Activity Data Inventory module constructs an activity data inventory based on system boundaries, functional units, and target repair technologies; The emission factor database module matches or calculates the corresponding localized greenhouse gas emission factors based on the activity data list; The greenhouse gas emissions accounting module calculates greenhouse gas emissions based on the activity data list and emission factors; The data quality assessment module performs data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results, and obtains a quality score. Based on the activity data list and greenhouse gas emission results, the sensitivity analysis module uses a probability-based global sensitivity analysis method to identify the core variables that have a significant impact on greenhouse gas emission results and their corresponding contribution rates. The uncertainty analysis module quantifies the uncertainties in the input parameters and calculation process based on the greenhouse gas emission results, quality scores, core variables, and corresponding contribution rates, and obtains the probability distribution characteristics of the emission results.

[0017] Furthermore, to achieve the above objectives, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites, stored in the memory and executable on the processor. When the visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites is executed by the processor, it implements the steps of the greenhouse gas emission quantification method for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites as described above.

[0018] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites, wherein when the visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites is executed by a processor, it implements the steps of the greenhouse gas emission quantification method for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites as described above.

[0019] In this invention, the system includes: a system boundary module for determining the system boundary and functional units within the earth's life cycle; a remediation technology list module for constructing a remediation technology list and selecting target remediation technologies from the list; a remediation activity data list module for constructing an activity data list; an emission factor database module for matching or calculating localized greenhouse gas emission factors; a greenhouse gas emission accounting module for calculating greenhouse gas emission results based on the activity data list and emission factors; a data quality assessment module for performing data quality analysis and obtaining a quality score; a sensitivity analysis module for identifying core variables that significantly affect greenhouse gas emission results and their corresponding contribution rates; and an uncertainty analysis module for quantifying uncertainty and obtaining the probability distribution characteristics of emission results. This invention enables a more comprehensive and accurate quantitative assessment of greenhouse gas emissions during the remediation process. Attached Figure Description

[0020] Figure 1 This is the overall architecture diagram of the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to the present invention. Figure 2 This is a flowchart of a preferred embodiment of the greenhouse gas emission quantification method of the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to the present invention; Figure 3 This is a structural diagram of a preferred embodiment of the terminal of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0022] To address the problems in existing technologies, this embodiment provides a greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, such as... Figure 1 As shown, the greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites includes: The system boundary module is used to determine the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle; The Repair Technology List module, connected to the System Boundary module and the Repair Activity Data List module, is used to construct the repair technology list and select target repair technologies from the repair technology list that include technology type, process parameters and repair activity type based on the system boundary and functional unit. The activity data list module is connected to the system boundary module, emission factor database module, greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module. It is used to construct the activity data list based on the system boundary, functional units, and target remediation technologies. The emission factor database module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and data quality assessment module, is used to match or calculate the corresponding localized greenhouse gas emission factors based on the activity data list. The greenhouse gas emissions accounting module is connected to the remediation activity data list module, the emission factor database module, the sensitivity analysis module, and the uncertainty analysis module. It is used to calculate the greenhouse gas emissions based on the activity data list and emission factors. The data quality assessment module, connected to the emission factor database module, the remediation activity data list module, the greenhouse gas emission accounting module, and the uncertainty analysis module, is used to perform data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results to obtain a quality score. The sensitivity analysis module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and uncertainty analysis module, is used to identify the core variables and their corresponding contribution rates that have a significant impact on greenhouse gas emission results based on the activity data list and greenhouse gas emission results, using a probability-based global sensitivity analysis method. The uncertainty analysis module, connected to the greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module, is used to quantify the uncertainty in the input parameters and calculation process based on the greenhouse gas emission results, quality scores, core variables, and corresponding contribution rates, and obtain the probability distribution characteristics of the emission results.

[0023] It is understood that this invention provides a greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, where the greenhouse gases include carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). First, the system boundaries and functional units of the entire remediation process are clearly defined; a data list covering the entire remediation process, encompassing three greenhouse gas emission sources—organic carbon and nitrogen conversion, remediation material production and use, and energy development and consumption—is constructed, forming core data entries; a localized emission factor database suitable for groundwater remediation is established, and a data-driven method for calculating greenhouse gas emission characteristic factors is developed; the emissions of each of the three greenhouse gases and their combined greenhouse effect are calculated; data quality is assessed; and sensitivity and uncertainty analyses are completed. This invention addresses the technical problems of poor regional applicability and large errors in traditional life cycle assessment methods due to the use of general factors by introducing machine learning algorithms such as random forests and neural networks to construct a localized emission factor database; it also overcomes the limitation of traditional remediation projects focusing only on carbon dioxide, achieving a more comprehensive and accurate quantitative assessment of the climate impact of the remediation process, providing a basis for low-carbon optimization and decision-making in remediation technologies.

[0024] In this embodiment, the system boundary module is used to determine the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle. The system boundary includes remediation phases and typical remediation activity types. The remediation phases encompass the entire process of remediation preparation, material production and transportation, on-site construction, equipment operation, reagent application, pollutant transformation, and post-remediation management. Typical remediation activity types include earthwork operations, well installation, extraction, reagent injection, reinjection, pump operation, material consumption, and pollutant degradation and transformation. The greenhouse gas types include carbon dioxide, methane, and nitrous oxide. The functional unit is the remediation of 1 cubic meter of contaminated groundwater to achieve the predetermined remediation target.

[0025] Furthermore, the repair technology list module includes a technology classification unit and a technology screening unit; The technology classification unit is used to construct a list of remediation technologies and to classify groundwater organic pollution remediation technologies according to the type of remediation technology. The types of remediation technologies include traditional remediation technologies and new remediation technologies. The technology screening unit is used to select target remediation technologies from the list of remediation technologies based on pollutant type, pollutant concentration, pollution plume range, hydrogeological conditions, redox conditions, remediation objectives, and remediation cycle. Traditional remediation techniques include: in-situ physical-chemical remediation, in-situ biological remediation, ex-situ physical-chemical remediation, ex-situ biological remediation, and blocking. Novel remediation technologies include: chemical remediation technology based on long-acting sustained-release remediation materials, bioremediation technology based on long-acting sustained-release remediation materials, synergistic remediation technology based on long-acting sustained-release composite materials, and heterogeneous green catalytic remediation technology; Heterogeneous green catalytic remediation technologies include: photocatalytic remediation technology, electrocatalytic remediation technology, photoelectro-catalytic remediation technology, and photothermal catalytic remediation technology.

[0026] Furthermore, the repair activity data list module includes a boundary resolution unit and a list construction unit; The boundary resolution unit is used to determine the repair phase and typical repair activity types to be included in data acquisition based on the system boundary determined by the system boundary module; The list construction unit is used to convert the material consumption, energy consumption, and conversion process data corresponding to the repair stages and typical repair activity types determined by the boundary analysis unit into activity data under the unit function, based on the functional units determined by the system boundary module, to form an activity data list.

[0027] Understandably, the boundary analysis unit, based on the system boundary output by the system boundary module (including stages such as remediation preparation, material production and transportation, on-site construction, equipment operation, chemical dosing, pollutant conversion, and post-management), determines the typical remediation activity types (such as earthwork, well installation, extraction, chemical injection, reinjection, and pump operation) that need to be included in data collection. Furthermore, based on this, the three major carbon footprint sources for data collection are clearly identified: Organic matter carbon and nitrogen transformation includes two types of reactions: chemical oxidation-reduction of organic pollutants and microbial degradation and transformation. Parameters such as reaction time, reagent dosage, groundwater volume affected by remediation, pollutant concentration, microbial biomass, functional gene abundance, and nutrient concentration need to be collected.

[0028] Repair material production and use: including well materials (pipe specifications, construction material usage), chemical / biological agents (type, injection volume, number of injections), treatment media (activated carbon, ion exchange resin, etc.), building materials (high-density polyethylene, concrete, etc.), and the consumption of bulk materials.

[0029] Energy development and consumption include: equipment and material transportation (transportation distance, mode, and quality), personnel travel (number of people, mode of transportation, frequency, and distance), use of electrical equipment (power and operating time of electric pumps, etc.), use of fuel equipment (fuel consumption of fuel pumps, earthmoving equipment, etc.), use of new energy equipment (installed capacity of photovoltaic and wind power), waste disposal (transfer volume and landfill volume), thermal / catalytic oxidation devices (fuel type and operating time), and resource consumption (water consumption, wastewater production, etc.).

[0030] The list construction unit is used to convert the original data corresponding to the three major sources and 14 core items determined by the boundary analysis unit according to the functional units output by the system boundary module. All converted data are summarized to form a standardized activity data list. It can be understood that this list includes, but is not limited to, the unit functional values ​​of the 14 core items, and clearly distinguishes between three types of data: organic carbon and nitrogen conversion, remediation material production and use, and energy development and consumption, for use by the emission factor database module and the greenhouse gas emission accounting module.

[0031] Furthermore, the activity data list includes: sources of organic carbon and nitrogen conversion, sources of remediation material production and use, and sources of energy development and consumption; Among them, the sources of organic carbon and nitrogen conversion are the carbon and nitrogen mineralization processes of organic pollutants under the action of chemical oxidation, reduction or microbial degradation and transformation; the sources of remediation material production and use are the implicit carbon emissions during the production and use of remediation materials; and the sources of energy development and consumption are the indirect carbon emissions caused by the total energy consumption of transportation, the total energy consumption of equipment use and the total energy consumption of waste treatment during the remediation process. The core items in the activity data list include: organic carbon and nitrogen conversion, well materials, chemical or biological agents, treatment media, building materials, bulk materials, equipment and material transportation, travel methods for staff to and from the remediation site, use of electrical equipment, use of fuel equipment, use of new energy equipment, waste disposal, thermal oxidation or catalytic oxidation devices, and resource consumption.

[0032] It is understood that the aforementioned organic carbon and nitrogen transformation mainly refers to the carbon and nitrogen mineralization process of organic pollutants under chemical oxidation / reduction or microbial degradation and transformation, calculating the direct CO2, CH4, and N2O emissions generated. The CO2 mineralization process mainly includes two reaction types: chemical oxidation or reduction and microbial degradation and transformation. Activity data for the chemical oxidation / reduction reaction includes reaction time, reagent dosage, groundwater volume affected by remediation, initial pollutant concentration, and concentration during operation. Activity data for the microbial degradation and transformation reaction includes reaction time, groundwater volume affected by remediation, microbial biomass, functional gene abundance, nutrient concentration, and organic carbon concentration. The CH4 and N2O mineralization process is mainly a microbial degradation and transformation reaction. Activity data for this reaction includes reaction time, groundwater volume affected by remediation, microbial biomass, functional gene abundance, nutrient concentration, and organic carbon concentration.

[0033] The sources of the remediation materials mentioned refer to the implicit carbon emissions during the production and use of chemical agents, activated carbon, and other remediation materials. These remediation materials mainly include well materials, chemical or biological agents, treatment media, building materials, and bulk materials. The well material activity data list includes well location information, pipe specifications and dimensions, construction material usage, and well scrapping information. Well pipe materials include polyvinyl chloride, steel, and high-density polyethylene, and material consumption is determined based on parameters such as the number of wells, well depth, casing diameter, casing material, completion method, and filter material. The chemical agent activity data list includes the number of injection points, agent type, single injection volume, and number of injections. Agent types cover slow-release materials, in-situ chemical oxidation / reduction agents, and common remediation agents, such as slow-release oxidizing materials, slow-release reducing materials, slow-release biological materials, slow-release composite materials, bacterial agents, hydrogen peroxide, hydrochloric acid, biostimulants (vegetable oils), and emulsified zero-valent chemicals. Iron, urea, fertilizer, acetic acid, sodium hydroxide, sodium hypochlorite, covering material, lime, phosphate, sodium carbonate, ion exchange resin, etc., are used. The total amount of chemicals used is calculated based on the number of injection points, the amount injected per injection, and the number of injections. The treatment medium activity data list includes the medium type and the weight of the medium material. The medium type includes granular activated carbon, regenerated granular activated carbon, ion exchange resin, etc. The building material activity data list includes the material type, the area used, and the depth of use. The material types include high-density polyethylene, ordinary concrete, gravel, and cement. The total volume of input materials is determined based on the area used and the thickness of use. Bulk materials refer to materials other than those in the above categories.

[0034] The sources of energy development and consumption refer to the indirect carbon emissions resulting from electricity and fuel consumption generated during the repair process, including transportation, equipment use, and waste disposal.

[0035] Furthermore, the calculation process for the total transportation energy consumption is as follows: ; ; ; in, Indicates total energy consumption in transportation. Indicates energy consumption for personnel transportation. This indicates the energy consumption for transporting equipment or materials. Indicates the flow rate of groundwater being treated. This represents an index indicating the number of trips made by road transport. This represents an index indicating the number of trips in air transport. This represents an index indicating the number of trips in rail transport. This represents an index indicating the number of trips via waterway transportation. Indicates the number of trips made by road transport. Indicates the number of trips made by air transport. Indicates the number of trips made by rail. Indicates the number of trips made via waterway transportation. Indicates the first The product of the number of passengers and the travel distance during secondary road transport. Statement No. The product of the number of passengers and the travel distance during each air transport trip. Indicates the first The product of the number of passengers and the travel distance during a single railway transport trip. Indicates the first i Fuel consumption per unit distance during secondary road transport. Indicates the first i The calorific value of the fuel used in secondary road transport. Indicates the first Energy consumption per passenger kilometer during each air transport trip. Indicates the first Energy consumption per passenger per kilometer during railway transport. Conversion Factor This indicates the unit conversion factor.

[0036] It is understood that the energy development and consumption sources refer to the indirect carbon emissions resulting from the total energy consumption of transportation, the total energy consumption of equipment use, and the consumption generated during waste treatment during the repair process. In this embodiment, the total energy consumption of transportation is divided into two categories: personnel transportation and equipment or material transportation. Personnel transportation is further divided into three categories: road, rail, and air. Equipment transportation is divided into four categories: road, rail, air, and water transport. In the above formula, Conversion Factor The unit conversion factor is 0.2778, which converts the unit to kWh (kilowatt-hour).

[0037] Furthermore, the calculation process for the total energy consumption of the device is as follows: ; ; ; ; in, This indicates the total energy consumption of the equipment. Indicates the energy consumption of electrical equipment. Indicates the energy consumption of fuel equipment. Indicates the energy consumption of new energy equipment. This indicates the energy consumption generated by the electric pump during the groundwater remediation process. This represents the energy consumption generated by other electrical equipment during the groundwater remediation process. This indicates the energy consumption generated by the fuel pump during the groundwater remediation process. This indicates the energy consumption generated by other fuel-powered equipment during the groundwater remediation process. H Indicates the journey. This indicates the density of water. SG Indicates specific gravity; This indicates the overall efficiency of the pump. N Indicates the number of pumps. T This indicates the pump's running time.

[0038] In this embodiment, the total energy consumption of the device includes the energy consumption of electrical equipment. Fuel equipment energy consumption Energy consumption of new energy equipment The equipment is divided into three parts: power equipment (electric pumps, other power equipment), fuel equipment (fuel pumps, earthmoving equipment, other fuel equipment), and new energy equipment (power sources include photovoltaic, wind power, hydrogen energy, etc.).

[0039] It is understandable that electric pumps consume energy during groundwater remediation. The above formula can be calculated using three different methods depending on the data. The energy consumption is obtained through the first calculation method, which calculates energy consumption from hydraulic parameters (flow rate, head, density, specific gravity, efficiency). This method is suitable for pumps that have been designed but not yet in operation, especially pumps with variable frequency drive systems.

[0040] In the second calculation method, the total power consumption of the pump (kWh) can be used, which is applicable to existing operating systems and the energy data can be obtained directly.

[0041] Energy consumption of other electrical equipment mainly includes generators, DC power systems, heating devices, lighting systems, and general electrical equipment, such as blowers, compressors, mixers, and other electrical appliances. Generator energy consumption is calculated based on the rated power and operating time, determining the volume of fuel consumed.

[0042] The energy consumption calculation methods for general electrical equipment are similar to those for electric pumps. The first calculation method directly uses the total power consumption of the equipment (kWh) for existing operating systems. The second calculation method calculates energy consumption based on the equipment power, the number of equipment, and the operating time of each piece of equipment. The load factor and motor efficiency can be modified according to the actual situation.

[0043] The third calculation method can be based on pump power (kW), operating time, and quantity. It is suitable for situations where only the rated power is known or a single-speed motor is used. The calculation formula is as follows: ; in, P This refers to the pump's rated power (kW).

[0044] Furthermore, indirect carbon emissions from waste treatment include waste disposal, landfill operations, and energy consumption from thermal oxidation or catalytic oxidation units. The waste disposal inventory includes waste transfer volume, distance traveled, number of trips, and fuel type; the landfill operation inventory includes landfill type and volume; and the thermal oxidation or catalytic oxidation unit inventory includes oxidation type, fuel type, operating time, exhaust gas flow rate, and pollutant concentration.

[0045] Furthermore, the emission factor database module includes a matching retrieval unit, a reaction rate calculation unit, and a missing factor completion unit; The matching and retrieval unit is used to retrieve the corresponding emission factors from the pre-built localized emission factor database based on the names and types of well materials, chemical or biological agents, treatment media, building materials, bulk materials, power equipment use, and fuel equipment use in the activity data list, and outputs the retrieved emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The reaction rate calculation unit is used to calculate the total generation rate of carbon dioxide, methane, and nitrous oxide based on the chemical redox reaction information and microbial degradation and transformation reaction information in the organic carbon and nitrogen conversion process in the activity data list, and outputs the generation rates of carbon dioxide, methane, and nitrous oxide as emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The missing factor completion unit is used to predict and complete the missing emission factors when the matching and retrieval unit fails to find the corresponding emission factors. The completed emission factors are then output to the greenhouse gas emission accounting module and the data quality assessment module.

[0046] In this embodiment, the matching and retrieval unit receives the activity data list output by the remediation activity data list module, and extracts from it specific types of well materials, chemical or biological agents, treatment media (such as granular activated carbon, ion exchange resin), building materials, bulk materials, and power equipment and fuel equipment usage (such as electricity, diesel, gasoline). This unit uses the names and types of these materials and energy sources as keywords to search a localized emission factor database pre-built from literature and public databases, matching the corresponding emission factors (e.g., the carbon dioxide emissions from consuming 1 kWh of electricity). The retrieved emission factors are simultaneously output to the greenhouse gas emission accounting module and the data quality assessment module.

[0047] The reaction rate calculation unit receives information from the organic carbon and nitrogen transformation entries in the activity data list, including chemical redox reaction information (such as reaction time, reagent dosage, initial pollutant concentration, and concentration during operation) and microbial degradation and transformation reaction information (such as microbial biomass, functional gene abundance, nutrient concentration, and organic carbon concentration). This unit uses reaction kinetic formulas to calculate the generation rates of the three greenhouse gases. For carbon dioxide, the generation rates of the chemical redox process and the microbial degradation and transformation process are calculated separately, and then the two are added together to obtain the total carbon dioxide generation rate. For methane, the methane generation rate and methane oxidation rate are calculated according to Michaelis-Menten kinetics to obtain the total methane generation rate. For nitrous oxide, the net nitrous oxide generation rate is calculated by comprehensively considering the nitrification, denitrification, and nitrous oxide reduction processes. The calculated three types of generation rates are output as process emission factors to the greenhouse gas emission accounting module and the data quality assessment module, respectively.

[0048] The missing factor completion unit is activated when the matching retrieval unit fails to find the corresponding emission factor. This unit collects similar emission factor data from different regions and years as training samples, and uses machine learning algorithms such as random forest, support vector machine, or feedforward neural network, taking spatiotemporal features as input and emission factors as output, to train a prediction model. Feature selection is performed through recursive feature elimination with cross-validation, and hyperparameters are adjusted using Bayesian optimization to finally predict and complete the missing emission factors. The completed emission factors are also output to the greenhouse gas emission accounting module and the data quality assessment module, and are marked as predicted data in the data quality assessment.

[0049] Furthermore, the overall rate of carbon dioxide formation is calculated using reaction kinetics formulas, specifically including: Based on the composition of organic pollutants and the solution phase concentration of active components in the remediation material, the pathway reaction rate of the chemical redox process is calculated: ; in, This indicates the composition of organic pollutants in the aqueous phase. Indicates intermediate product. This indicates the active components in the repair material. express Component pollutants to intermediate products The reaction rate of the chemical degradation pathway. Represents the first rate constant. express The concentration of the component pollutants in the solution phase. Indicates active ingredient The concentration of the solution phase; Calculate the carbon dioxide generation rate during the redox process based on the pathway reaction rate and a specified proportionality coefficient for the conversion of pollutant carbon to carbon dioxide: ; in, This indicates the rate of carbon dioxide production during the redox process. This indicates a specified ratio coefficient for the conversion of pollutant carbon to carbon dioxide in a specified conversion pathway; Calculate the degradation reaction rate of the microbial degradation and transformation process based on microbial biomass, electron acceptor concentration, and organic pollutant concentration: ; in, Components representing electron acceptors express Component pollutants and The degradation reaction rate of the component electron acceptor undergoing microbial degradation and transformation. This represents the second rate constant. Indicates the use of Microbial biomass of component electron acceptors express The concentration of component pollutants, express m The concentration of the component electron acceptor, This represents the half-saturation constant of microorganisms. This represents the half-saturation constant of the electron acceptor. express The half-saturation constant of the component pollutants, for n The inhibition constant of the component solute on the degradation reaction, This indicates that the product is calculated over all inhibitory components. n Indicates the total number of components; Based on the degradation reaction rate and the ratio of pollutant carbon to carbon dioxide in the microbial degradation and transformation process, calculate the carbon dioxide generation rate during the microbial degradation and transformation process: ; in, This indicates the rate of carbon dioxide production during the microbial degradation and transformation process. This represents the ratio at which pollutant carbon is converted into carbon dioxide. The total carbon dioxide production rate is obtained by adding the carbon dioxide production rate during the redox process and the carbon dioxide production rate during the microbial degradation and transformation process. ; in, This indicates the total rate of carbon dioxide formation.

[0050] It is understood that the total carbon dioxide generation rate is divided into two parts: chemical oxidation or reduction, and microbial degradation and transformation. The chemical oxidation or reduction process refers to the degradation and transformation of organic pollutants in the aqueous phase. j Organic pollutants further interact with active components in remediation materials. k The reaction produces easily degradable and transformable intermediate products. l。

[0051] The microbial degradation and transformation process refers to the assumption that all organic pollutant components, byproducts, and natural organic matter may undergo degradation reactions with existing or injected substrates during remediation, driven by formation microorganisms, and generate carbon dioxide. Among these, To utilize m The microbial biomass of the component electron acceptors can be further solved using the Monod equation. for n The inhibition constant of component solutes on degradation reactions is used to characterize the inhibitory effect of high concentrations of multi-component organic pollutants or active remediation material components on microbial activity.

[0052] Furthermore, the overall methane formation rate was calculated using reaction kinetic formulas, specifically including: Based on the maximum methane formation rate and the organic carbon concentration in groundwater, the methane formation rate is calculated using Michaelis-Menten kinetics: ; in, Indicates the methane formation rate, Indicates the maximum methane formation rate. This indicates the concentration of organic carbon in groundwater. The half-saturation coefficient for methane formation. This indicates the temperature sensitivity of methanogens. e Represents the natural constant. Indicates oxygen concentration. This indicates the soil oxygen concentration that reaches the hypoxic condition and causes methane production. Based on the maximum oxidation rate of methane and using Michaelis kinetics, the methane oxidation rate is calculated as follows: ; in, Indicates the methane oxidation rate, Indicates the maximum oxidation rate of methane. and These represent the oxygen concentration and methane concentration in the soil pore volume, respectively. and These represent the oxygen oxidation half-saturation constant and the methane oxidation half-saturation constant, respectively. This indicates the temperature sensitivity of methanogenic bacteria; Calculate the total methane formation rate based on the methane formation rate and methane oxidation rate: ; in, This indicates the total rate of methane formation.

[0053] In this embodiment, the methane generation rate of the formation is first calculated based on the Michaelis-Menten kinetics. This rate is related to the concentration of organic carbon in the groundwater, the temperature sensitivity of methanogens, and anoxic conditions. Then, the methane oxidation rate is calculated based on the two-substrate equation. This rate is related to the concentrations of methane and oxygen, and the temperature sensitivity of methanogens. Finally, the methane generation rate and the methane oxidation rate are added together to obtain the total methane generation rate.

[0054] Furthermore, the overall formation rate of nitrous oxide was calculated using reaction kinetic formulas, specifically including: Under microaerobic conditions, the formation rate of nitrous oxide during nitration was calculated using reaction kinetics formulas: ; in, This indicates the rate of nitrous oxide formation during nitration. This represents the emission factor for the conversion of nitrification into nitrogen oxides. This represents the rate constant of the nitration reaction. Indicates the biomass of ammonia-oxidizing microorganisms. and These represent the concentrations of ammonium nitrogen and dissolved oxygen in groundwater, respectively. and Let represent the half-saturation constants of nitrous oxide and oxygen, respectively. and These represent correction functions for pH and temperature on the nitration process to produce nitrous oxide, respectively. Under anoxic or anaerobic conditions, the net rate of nitrous oxide formation during denitrification was calculated using reaction kinetics formulas. ; in, This indicates the net rate of nitrous oxide production during denitrification. This indicates the proportion of nitrogen oxide intermediates released during denitrification. This represents the rate constant of the denitrification reaction. Indicates the biomass of denitrifying microorganisms. , and These represent the concentrations of nitrate, nitrite, and available organic carbon, respectively. and Let these represent the half-saturation constants of the nitrogen source and the carbon source, respectively. Represents the oxygen inhibition function. and The effects of redox potential and pH on the denitrification process to produce nitrogen oxides are shown respectively. The rate at which nitrous oxide is reduced to nitrogen gas was calculated using reaction kinetics formulas: ; in, This indicates the rate at which nitrous oxide is reduced to nitrogen gas. This represents the rate constant for the reduction of nitrous oxide. Indicates carrying nosZ Nitrous oxide-reducing microbial biomass of functional genes This indicates the concentration of dissolved nitrous oxide in groundwater. and represent the half-saturation constants of nitrous oxide and organic carbon, respectively; Calculate the total nitrous oxide formation rate based on the nitrification formation rate, the net nitrous oxide formation rate during denitrification, and the rate at which nitrous oxide is reduced to nitrogen gas: ; in, This indicates the overall rate of formation of nitrous oxide.

[0055] Understandably, during the remediation of groundwater from organically contaminated sites, N2O primarily originates from nitrification, denitrification, and nitrification-denitrification coupling processes that occur when nitrogen-containing electron acceptors participate in the degradation of organic pollutants under anaerobic or microaerobic conditions. Since organically contaminated groundwater typically contains high concentrations of petroleum hydrocarbons, chlorinated hydrocarbons, benzene compounds, or other degradable organic pollutants, these can serve as electron donors for the microbial denitrification process. Simultaneously, the oxidants, reducing agents, slow-release oxygen materials, nutrients, or electron acceptors added during the remediation process alter the levels of dissolved oxygen (DO) and nitrogen oxides (NO3) in the groundwater. - (nitrate nitrogen), NO2 - (nitrite nitrogen), NH4 + (Ammonium ions), DOC (dissolved organic carbon), and redox potential, thereby affecting the generation, reduction, and release of N2O.

[0056] Under micro-oxygen conditions, NH4 in groundwater + Ammonia-oxidizing microorganisms oxidize to NO2 - And in the absence of oxygen and NO2 - N₂O is produced when there is accumulation or a high concentration of organic substrate, and the rate of its formation is given by the following formula: ; NO3 under hypoxic or anaerobic conditions - and NO2 - It can act as an electron acceptor in the microbial degradation process of organic pollutants or natural organic matter, successively undergoing NO3. - →NO2 - The denitrification reduction chain →NO→N2O→N2. This occurs when there is insufficient electron donor, low pH, DO disturbance (Dissolved Oxygen disturbance), and NO2... - When the activity of N2O-reducing bacteria of the nosZ type is inhibited, the process of N2O reduction to N2 is incomplete, leading to the accumulation of N2O in the groundwater system. Its net formation rate can be expressed as: ; Meanwhile, N2O, as an intermediate product of denitrification, can be further reduced to N2 by N2O-reducing bacteria. This process determines the final net discharge of N2O into the groundwater system, and its consumption rate can be expressed as: ; Therefore, the net N2O generation rate during the groundwater remediation process of organically contaminated sites can be summarized as follows: ; in, This is the net rate of N2O formation per unit volume of groundwater or porous media. When remediation activities lead to NO3... - NO2- or NH4 + When the concentration increases, DO is in a state of slight oxygen fluctuation, and DOC is sufficient but the N2O reduction process is limited. Increase; when the denitrification process can proceed fully and further reduce N2O to N2, the net N2O emission decreases. Therefore, the micro-emission process of N2O can be incorporated into the quantitative model of greenhouse gas emissions in the whole process of groundwater organic pollution remediation, so as to identify the key N2O emission nodes under different remediation technologies, different redox conditions, and different carbon and nitrogen substrate supply scenarios.

[0057] Furthermore, the greenhouse gas emission accounting module includes a carbon dioxide emission calculation unit, a methane emission calculation unit, a nitrous oxide emission calculation unit, and a comprehensive greenhouse effect calculation unit; The carbon dioxide emission calculation unit is used to calculate carbon dioxide emissions based on the emission factor corresponding to carbon dioxide. ; in, This indicates carbon dioxide emissions. This indicates the volume of groundwater affected by the remediation process. t Indicates reaction time. This indicates the total rate of carbon dioxide generation during the remediation process. This represents the material or energy consumption of the i-th activity. Indicates the first i The carbon dioxide emission factor of this activity; The methane emission calculation unit is used to calculate methane emissions based on the corresponding emission factor. ; in, Indicates methane emissions. This represents the total methane generation rate during the remediation process. Indicates the first i Material or energy consumption of the activity Indicates the first i The methane emission factor of the project; The nitrous oxide emission calculation unit is used to calculate nitrous oxide emissions based on the corresponding emission factor. ; in, Indicates nitrous oxide emissions. This represents the total rate of nitrous oxide formation during the remediation process. For the first i Material or energy consumption of the activity For the first i The activity's nitrous oxide emission factor; The integrated greenhouse effect calculation unit is used to convert carbon dioxide emissions, methane emissions, and nitrous oxide emissions into integrated greenhouse effect values ​​according to the global warming potential coefficient on a preset annual scale. ; in, This represents the combined greenhouse effect as expressed in carbon dioxide equivalents. This represents the global warming potential of methane on a pre-defined number of years timescale. This represents the global warming potential of nitrous oxide on a pre-defined number of years scale.

[0058] In this embodiment, the emissions and combined greenhouse effect of three greenhouse gases (CO2, CH4, and N2O) are calculated. The greenhouse gas emission calculation method follows the GHG Protocol (Greenhouse Gas Protocol). The emission sources include three parts: organic carbon-nitrogen conversion, remediation material production and use, and energy development and consumption. The calculation is performed using activity data from the inventory and corresponding greenhouse gas emission factors from the database. Specifically, when calculating the emissions of the three greenhouse gases, the emission sources are divided into three parts: organic carbon-nitrogen conversion, remediation material production and use, and energy development and consumption. For direct emissions from organic carbon-nitrogen conversion, the groundwater volume affected by remediation is multiplied by the reaction time and then by the corresponding gas generation rate (or net generation rate). For indirect emissions from remediation materials and energy consumption, the material or energy consumption data of each activity is multiplied by its corresponding emission factor. The emissions of CO2, CH4, and N2O are then added together to obtain the emissions of each gas. The combined greenhouse effect of the three greenhouse gases is expressed as the Global Warming Potential (GWP), which is the sum of the emissions of CO2, CH4 and N2O after converting them into CO2 equivalents according to their global warming potential coefficients on a predetermined timescale (e.g., a 100-year timescale).

[0059] Furthermore, the data quality assessment module is used to systematically evaluate the quality of the basic data used throughout the quantification process. The data quality assessment module receives activity data from the remediation activity data list module, emission factors from the emission factor database module, and greenhouse gas emission results from the greenhouse gas emission accounting module. It conducts data quality analysis from six aspects: data reliability, data integrity, sample independence, year representativeness, geographical representativeness, and technical representativeness. Data reliability (whether the data source is actual measurement, calculation, hypothesis, or expert evaluation), data completeness (whether it covers all emission stages and whether there are any omissions), sample independence (whether the data comes from a verified independent source), year representativeness (the time distance between the data and the current year), geographical representativeness (whether the data comes from the study area or a similar area), and technical representativeness (whether the process technology is consistent with the studied enterprise).

[0060] Each dimension employs a five-level scoring system, with 1 point representing the highest quality (e.g., on-site measurement, within the last three years, same site) and 5 points representing the lowest quality (e.g., unreliable assessment, unknown age, completely different technical background). Through this evaluation, the data quality assessment module can identify variables of lower quality but indispensable to the calculation results. The quality scores of these variables are then output to the uncertainty analysis module for allocating a wider probability distribution, thereby more realistically reflecting the uncertainties introduced by these data in the Monte Carlo simulation.

[0061] In this embodiment, specific data quality scoring criteria are given, as shown in the table below: Table 1 Data Quality Scoring Criteria

[0062] Furthermore, the sensitivity analysis module is used to identify the input parameters that have the greatest impact on greenhouse gas emission results. The sensitivity analysis module receives activity data (such as pesticide dosage, electricity consumption, transport distance, reaction rate constant, etc.) from the remediation activity data inventory module and emission results (CO2, CH4, N2O emissions and overall greenhouse effect) from the greenhouse gas emission accounting module. A probability-based global sensitivity analysis method (such as the Sobol index method) is employed to comprehensively consider the nonlinear interactions and inter-parameter effects, quantitatively identifying the dominant influencing factors and their contribution rates.

[0063] The sensitivity analysis module ranks the importance of each parameter according to its contribution rate, outputs the dominant influencing factors and their contribution rates, and provides these results to the uncertainty analysis module as a basis for selecting key analysis parameters. Through the sensitivity analysis module, users can identify key variables that should be prioritized for control or precise measurement during site remediation (such as the dosage of a certain type of agent or power consumption), thereby providing quantitative decision support for low-carbon optimization.

[0064] Furthermore, the uncertainty analysis module is used to quantify the inherent uncertainties of the input parameters and calculation methods in the entire greenhouse gas emission calculation process, and to provide the probability distribution characteristics of the final emission results.

[0065] Specifically, the uncertainty analysis module receives greenhouse gas emissions and the overall greenhouse effect from the greenhouse gas emissions accounting module, quality scores for each input data from the data quality assessment module, and dominant influencing factors and their contribution rates identified by the sensitivity analysis module. Based on this information, the uncertainty analysis module first assigns a corresponding probability distribution type to each type of input parameter (such as emission factors, reaction rate constants, reagent dosage, energy consumption coefficients, etc.) according to the data quality scores (e.g., a narrower normal distribution for high-quality data, and a wider uniform or log-normal distribution for low-quality data). Then, combined with the dominant influencing factors provided by the sensitivity analysis module, it determines the set of uncertainty parameters that need to be analyzed in detail. Next, using the Monte Carlo simulation method, a large number (e.g., no less than 1000 sets) of input parameter combinations are generated through random sampling. The calculation process of the greenhouse gas emissions accounting module is repeatedly run for each set of parameters to obtain the corresponding emission result set. Finally, statistical analysis is performed on this set, outputting the mean, standard deviation, 95% confidence interval, and probability density distribution map of the emission results, thereby intuitively showing the possible range and credibility of greenhouse gas emissions throughout the remediation process, and scientifically evaluating the quantitative results.

[0066] like Figure 2 As shown in the above embodiments, based on the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites, the present invention also provides a greenhouse gas emission quantification method for the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites. The greenhouse gas emission quantification method for the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites includes the following steps: Step S10: The system boundary module determines the system boundary and functional units of the groundwater organic pollution remediation technology throughout its life cycle.

[0067] In this embodiment, the system boundary module defines the system boundary and functional units of the groundwater organic pollution remediation technology throughout its lifecycle. The system boundary encompasses the entire process, including remediation preparation, material production and transportation, on-site construction, equipment operation, reagent application, pollutant transformation, and post-remediation management, and specifies typical remediation activity types (such as earthwork, well installation, extraction, reagent injection, and reinjection). Greenhouse gas types are limited to carbon dioxide, methane, and nitrous oxide. The functional unit is set as the remediation of 1 cubic meter of contaminated groundwater to achieve the predetermined remediation target, serving as the benchmark for subsequent activity data conversion and emission accounting.

[0068] Step S20: The repair technology list module constructs a repair technology list and selects target repair technologies from the repair technology list that include technology type, process parameters and repair activity type based on system boundaries and functional units.

[0069] In this embodiment, specific technologies are selected from the remediation technology list module, and relevant technologies are used to clarify remediation activity data and emission factor data. Specifically, the technology classification unit constructs a remediation technology list and classifies groundwater organic pollution remediation technologies according to their types, including traditional and novel remediation technologies. The technology screening unit selects target remediation technologies from the remediation technology list based on pollutant type, pollutant concentration, pollution plume range, hydrogeological conditions, redox conditions, remediation objectives, and remediation cycle.

[0070] Step S30: The activity data list module constructs an activity data list based on system boundaries, functional units, and target repair technologies.

[0071] The Remediation Activity Data Inventory module constructs an activity data inventory based on system boundaries, functional units, and target remediation technologies. This module determines the remediation stages and activity types requiring data collection based on system boundaries, starting with the three major carbon footprint sources: organic carbon and nitrogen conversion, remediation material production and use, and energy development and consumption. It collects raw data such as pollutant concentrations, reagent dosages, material consumption, transportation distances, and equipment energy consumption. Then, the raw data is converted into unit activity data according to functional units, forming a standardized activity data inventory covering 14 core items for use by subsequent modules.

[0072] Specifically, firstly, data on site contaminant concentrations, groundwater quality parameters, remediation cycles, underground media properties, and remediation process parameters are collected to characterize processes such as chemical oxidation / reduction and microbial degradation of organic contaminants. Secondly, data on the input of various materials during the remediation process are compiled, including materials for monitoring and injection wells, chemical or biological agents, filling materials, and other auxiliary materials, forming a data list of remediation material production and usage activities. Thirdly, energy consumption data during transportation and equipment operation are compiled, including transportation distances for personnel and equipment, transportation methods, operating power, working hours, and fuel consumption of electrical and fuel equipment, and the installed capacity of new energy equipment, forming a data list of energy development and consumption activities. For missing data, on-site records, equipment nameplate parameters, project ledgers, or industry statistical data are used to supplement the data.

[0073] Step S40: The emission factor database module matches or calculates the corresponding localized greenhouse gas emission factors based on the activity data list.

[0074] In this embodiment, a localized greenhouse gas emission factor database suitable for groundwater remediation scenarios is established, and a data-driven emission characteristic factor calculation method is developed.

[0075] The localized greenhouse gas emission factor database includes the generation rates of three greenhouse gases (CO2, CH4, and N2O) during the organic matter carbon-nitrogen conversion process, localized greenhouse gas emission factors for well materials, chemicals, building materials, bulk materials, fuels, etc., and electricity carbon footprint factors. The greenhouse gas generation rates during the organic matter carbon-nitrogen conversion process are calculated using reaction kinetic formulas. The localized greenhouse gas emission factors for well materials, chemicals, building materials, bulk materials, fuels, etc., and electricity carbon footprint factors are obtained through databases, literature searches, and other methods. For missing data, a data-driven method for calculating greenhouse gas emission characteristic factors is developed to improve the construction of the localized emission factor database.

[0076] Specifically, existing greenhouse gas emission factor data from different years and regions are used as input variables, with greenhouse gas emission factors as output variables, to construct candidate machine learning models. Candidate models include random forests, support vector machines, and feedforward neural networks. By comparing mean absolute error, root mean square error, and goodness of fit, the model with the best predictive performance is selected as the emission factor prediction model. Furthermore, recursive feature elimination and Bayesian optimization methods are combined to optimize the input features and hyperparameters, resulting in a characteristic factor calculation model suitable for the groundwater pollution remediation process in this region. Based on this, missing emission factor data are supplemented, and the localized emission factor database is improved.

[0077] Step S50: The greenhouse gas emission accounting module calculates the greenhouse gas emission results based on the activity data list and emission factors.

[0078] In this embodiment, the greenhouse gas emission accounting module calculates the greenhouse gas emissions based on the activity data list and emission factors. The emissions are divided into three parts: direct emissions from the carbon and nitrogen conversion of organic matter, calculated by multiplying the groundwater volume affected by remediation by the reaction time and then by the corresponding gas generation rate (or net generation rate); indirect emissions from the production and use of remediation materials and energy development and consumption, calculated by multiplying the material or energy consumption data of each activity by its corresponding emission factor. The three parts are added together to obtain the emissions of CO2, CH4, and N2O, which are then converted to CO2 equivalents based on the 100-year global warming potential, and summed to obtain the overall greenhouse effect.

[0079] Step S60: The data quality assessment module performs data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results to obtain a quality score.

[0080] In this embodiment, based on the source of the basic data and its uncertainty characteristics, the activity data and emission factor data are evaluated from six dimensions: data reliability, data integrity, sample independence, year representativeness, geographical representativeness, and technical representativeness. A five-level scoring system is used for each indicator, where 1 point represents high-quality data and 5 points represent low-quality data. Based on the evaluation results, high-quality monitoring data is prioritized for model calculations, while lower-quality but indispensable data is used as the key variables in subsequent uncertainty analysis. In the remediation of petroleum hydrocarbon and chlorinated hydrocarbon contaminated sites in this embodiment, the on-site monitoring data was rated as Level 1 (high-quality) by the Data Quality Index, while the emission factor data from reagent production was rated as Level 3. Through Monte Carlo simulation (10,000 times), the CO2 equivalent emission of 1 m³ of groundwater remediation at this site was found to be 48.6 ± 6.3 kg, with a 95% confidence interval of [36.9, 61.2], verifying the robustness of the model results. Based on the accounting results obtained in steps S10-S50, the main carbon emission sources of the site were identified as energy consumption of extraction equipment (accounting for 65.2%) and reagent production and use (accounting for 25.8%). Based on this, it is recommended that in-situ bioaugmentation technology be used to replace some of the chemical oxidation reagents, which is expected to reduce carbon emissions by 34.7%.

[0081] Step S70: The sensitivity analysis module identifies the core variables and their corresponding contribution rates that have a significant impact on the greenhouse gas emission results based on the activity data list and greenhouse gas emission results, using a probability-based global sensitivity analysis method.

[0082] The sensitivity analysis module identifies the core variables and their corresponding contribution rates that have a significant impact on greenhouse gas emissions results based on the activity data list and greenhouse gas emission results, using a probability-based global sensitivity analysis method.

[0083] Specifically, each input parameter (such as reagent dosage, power consumption, transportation distance, reaction rate constant, etc.) is treated as a random variable following a probability distribution. The Sobol index is used to quantify the first-order and total effects of each input variable on the total greenhouse gas emissions, and to identify the interactions between variables. Sensitivity analysis is used to determine the main controlling factors affecting greenhouse gas emissions from the site remediation, providing a basis for subsequent process optimization and low-carbon regulation.

[0084] Step S80: The uncertainty analysis module quantifies the uncertainty in the input parameters and calculation process based on the greenhouse gas emission results, quality score, core variables and corresponding contribution rates, and obtains the probability distribution characteristics of the emission results.

[0085] The uncertainty analysis module quantifies the uncertainty in the input parameters and calculation process based on the greenhouse gas emission results, quality score, core variables and corresponding contribution rates, and obtains the probability distribution characteristics of the emission results.

[0086] Specifically, based on the sensitivity analysis results, the key input parameters in the model are assigned corresponding probability distribution types and statistical parameters, with a narrower distribution range for high-quality data and a wider distribution range for low-quality data. Using the Monte Carlo simulation method, at least 1000 sets of input parameter combinations are randomly sampled and repeatedly run to obtain the probability distribution results of the total greenhouse gas emissions and the contribution of each stage in the entire remediation process. The final outputs are the mean, standard deviation, 95% confidence interval, and uncertainty range of the main emission links. The results show that the method of this invention can not only achieve quantitative accounting of greenhouse gas emissions throughout the entire process of groundwater pollution remediation, but also identify key emission sources, evaluate the robustness of the results, and provide support for low-carbon comparison and optimization decisions of different remediation technology pathways.

[0087] The beneficial effects of this invention are as follows: (1) This invention couples the life cycle assessment framework with the biogeochemical transformation mechanism of organic pollutants, breaking through the limitations of traditional methods that rely solely on general emission factors, and realizing a carbon emission accounting path that combines "process-driven + data-driven".

[0088] (2) This invention constructs a greenhouse gas emission mechanism model covering two types of processes: microbial degradation and transformation, and chemical oxidation / reduction, to achieve a unified characterization of microscopic reaction processes and macroscopic carbon emissions.

[0089] (3) This invention establishes a localized emission factor database for groundwater remediation scenarios and proposes a data-driven characteristic factor calculation method to improve the regional applicability and accuracy of emission estimation.

[0090] (4) This invention introduces an integrated technical system of data quality evaluation, sensitivity analysis and uncertainty analysis to achieve full-process uncertainty control from data source to result output.

[0091] Furthermore, such as Figure 3 As shown, based on the above-mentioned greenhouse gas emission quantification system and method for the entire process of groundwater remediation of organically contaminated sites, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 3 Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0092] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 20 may be an external storage device of the terminal, such as a plug-in hard disk, smart media array (SMC), secure digital card (SD), flash memory card, etc. Further, the memory 20 may include both internal and external storage devices. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 20 may also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores a visual cognitive ability assessment program 40 for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites. This visual cognitive ability assessment program 40 can be executed by the processor 10, thereby realizing the greenhouse gas emission quantification method for the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites in this application.

[0093] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the greenhouse gas emission quantification method of the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites.

[0094] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-screen liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display information on the terminal and to display a visualized patient interface. The components of the terminal communicate with each other via a system bus.

[0095] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites, wherein when the visual cognitive ability assessment program for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites is executed by a processor, the program implements the steps of the greenhouse gas emission quantification method for a greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites as described above.

[0096] In summary, this invention provides a greenhouse gas emission quantification system and method for the entire process of groundwater remediation at organically contaminated sites. The system includes: a system boundary module for determining the system boundary and functional units of groundwater organic pollution remediation technologies within their lifecycle; a remediation technology list module for constructing a remediation technology list and selecting target remediation technologies from the list; a remediation activity data list module for constructing an activity data list based on the system boundary, functional units, and target remediation technologies; an emission factor database module for matching or calculating corresponding localized greenhouse gas emission factors based on the activity data list; a greenhouse gas emission accounting module for calculating greenhouse gas emission results based on the activity data list and emission factors; a data quality assessment module for performing data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results to obtain a quality score; a sensitivity analysis module for identifying core variables and their corresponding contribution rates that significantly affect greenhouse gas emission results using a probability-based global sensitivity analysis method based on the activity data list and greenhouse gas emission results; and an uncertainty analysis module for quantifying the uncertainties in the input parameters and calculation process based on the greenhouse gas emission results, quality score, core variables, and corresponding contribution rates to obtain the probability distribution characteristics of the emission results. This invention enables a more comprehensive and accurate quantitative assessment of greenhouse gas emissions during the remediation process.

[0097] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal that includes that element.

[0098] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.

[0099] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites, characterized in that, The greenhouse gas emission quantification system for the entire process of groundwater remediation at organically contaminated sites includes: The system boundary module is used to determine the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle; The Repair Technology List module, connected to the System Boundary module and the Repair Activity Data List module, is used to construct the repair technology list and select target repair technologies from the repair technology list that include technology type, process parameters and repair activity type based on the system boundary and functional unit. The activity data list module is connected to the system boundary module, emission factor database module, greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module. It is used to construct the activity data list based on the system boundary, functional units, and target remediation technologies. The emission factor database module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and data quality assessment module, is used to retrieve corresponding emission factors from a pre-built localized emission factor database based on the names and types of well materials, chemical or biological agents, treatment media, building materials, bulk materials, power equipment use, and fuel equipment use in the activity data list. It also calculates the total generation rates of carbon dioxide, methane, and nitrous oxide using reaction kinetic formulas based on chemical redox reaction information and microbial degradation and transformation reaction information in the organic carbon and nitrogen conversion process of the activity data list. When no corresponding emission factor is found, machine learning algorithms are used to predict and complete the missing emission factors. The greenhouse gas emissions accounting module is connected to the remediation activity data list module, the emission factor database module, the sensitivity analysis module, and the uncertainty analysis module. It is used to calculate the greenhouse gas emissions based on the activity data list and emission factors. The data quality assessment module, connected to the emission factor database module, the remediation activity data list module, the greenhouse gas emission accounting module, and the uncertainty analysis module, is used to perform data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results to obtain a quality score. The sensitivity analysis module, connected to the remediation activity data list module, greenhouse gas emission accounting module, and uncertainty analysis module, is used to identify the core variables and their corresponding contribution rates that have a significant impact on greenhouse gas emission results based on the activity data list and greenhouse gas emission results, using a probability-based global sensitivity analysis method. The uncertainty analysis module, connected to the greenhouse gas emission accounting module, data quality assessment module, and sensitivity analysis module, is used to quantify the uncertainty in the input parameters and calculation process based on the greenhouse gas emission results, quality scores, core variables, and corresponding contribution rates, and obtain the probability distribution characteristics of the emission results.

2. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 1, characterized in that, The repair technology list module includes a technology classification unit and a technology screening unit; The technology classification unit is used to construct a list of remediation technologies and to classify groundwater organic pollution remediation technologies according to the type of remediation technology. The types of remediation technologies include traditional remediation technologies and new remediation technologies. The technology screening unit is used to select target remediation technologies from the list of remediation technologies based on pollutant type, pollutant concentration, pollution plume range, hydrogeological conditions, redox conditions, remediation objectives, and remediation cycle. Traditional remediation techniques include: in-situ physical-chemical remediation, in-situ biological remediation, ex-situ physical-chemical remediation, ex-situ biological remediation, and blocking. Novel remediation technologies include: chemical remediation technology based on long-acting sustained-release remediation materials, bioremediation technology based on long-acting sustained-release remediation materials, synergistic remediation technology based on long-acting sustained-release composite materials, and heterogeneous green catalytic remediation technology; Heterogeneous green catalytic remediation technologies include: photocatalytic remediation technology, electrocatalytic remediation technology, photoelectro-catalytic remediation technology, and photothermal catalytic remediation technology.

3. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 1, characterized in that, The repair activity data list module includes a boundary resolution unit and a list construction unit; The boundary resolution unit is used to determine the repair phase and typical repair activity types to be included in data acquisition based on the system boundary determined by the system boundary module; The list construction unit is used to convert the material consumption, energy consumption and conversion process data corresponding to the repair stage and typical repair activity type determined by the boundary analysis unit into activity data under the unit function, based on the functional unit determined by the system boundary module, to form an activity data list; The activity data list includes: sources of organic carbon and nitrogen conversion, sources of remediation material production and use, and sources of energy development and consumption; Among them, the sources of organic carbon and nitrogen conversion are the carbon and nitrogen mineralization processes of organic pollutants under the action of chemical oxidation, reduction or microbial degradation and transformation; the sources of remediation material production and use are the implicit carbon emissions during the production and use of remediation materials; and the sources of energy development and consumption are the indirect carbon emissions caused by the total energy consumption of transportation, the total energy consumption of equipment use and the total energy consumption of waste treatment during the remediation process. The core items in the activity data list include: organic carbon and nitrogen conversion, well materials, chemical or biological agents, treatment media, building materials, bulk materials, equipment and material transportation, travel methods for staff to and from the remediation site, use of electrical equipment, use of fuel equipment, use of new energy equipment, waste disposal, thermal oxidation or catalytic oxidation devices, and resource consumption.

4. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 3, characterized in that, The calculation process for the total energy consumption of transportation is as follows: ； ； ； in, Indicates total energy consumption in transportation. Indicates energy consumption for personnel transportation. This indicates the energy consumption for transporting equipment or materials. Indicates the flow rate of groundwater being treated. This represents an index indicating the number of trips made by road transport. This represents an index indicating the number of trips in air transport. This represents an index indicating the number of trips in rail transport. This represents an index indicating the number of trips by waterway transportation. Indicates the number of trips made via road transport. Indicates the number of trips made by air transport. Indicates the number of trips made by rail. Indicates the number of trips made via waterway transportation. Indicates the first The product of the number of passengers and the travel distance during secondary road transport. Indicates the first The product of the number of passengers and the travel distance during each air transport trip. Indicates the first The product of the number of passengers and the travel distance during a single railway transport trip. This represents the fuel consumption per unit distance during the i-th road transport trip. This represents the calorific value of the fuel used in the i-th road transport trip. Indicates the first Energy consumption per passenger kilometer during each air transport trip. Indicates the first Energy consumption per passenger per kilometer during a single railway transport trip; Conversion Factor represents the unit conversion factor. The calculation process for the total energy consumption of the equipment is as follows: ； ； ； ； in, This indicates the total energy consumption of the equipment. Indicates the energy consumption of electrical equipment. Indicates the energy consumption of fuel equipment. Indicates the energy consumption of new energy equipment. This indicates the energy consumption generated by the electric pump during the groundwater remediation process. This represents the energy consumption generated by other electrical equipment during the groundwater remediation process. This indicates the energy consumption generated by the fuel pump during the groundwater remediation process. This indicates the energy consumption generated by other fuel-powered equipment during groundwater remediation, where H represents the head. SG represents the density of water and its specific gravity. The value represents the overall efficiency of the pump, N represents the number of pumps, and T represents the pump's operating time.

5. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 1, characterized in that, The emission factor database module includes a matching retrieval unit, a reaction rate calculation unit, and a missing factor completion unit; The matching and retrieval unit is used to retrieve the corresponding emission factors from the pre-built localized emission factor database based on the names and types of well materials, chemical or biological agents, treatment media, building materials, bulk materials, power equipment use, and fuel equipment use in the activity data list, and outputs the retrieved emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The reaction rate calculation unit is used to calculate the total generation rate of carbon dioxide, methane, and nitrous oxide based on the chemical redox reaction information and microbial degradation and transformation reaction information in the organic carbon and nitrogen conversion process in the activity data list, and outputs the generation rates of carbon dioxide, methane, and nitrous oxide as emission factors to the greenhouse gas emission accounting module and the data quality assessment module. The missing factor completion unit is used to predict and complete the missing emission factors when the matching and retrieval unit fails to find the corresponding emission factors. The completed emission factors are then output to the greenhouse gas emission accounting module and the data quality assessment module.

6. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 5, characterized in that, The overall rate of carbon dioxide formation is calculated using reaction kinetics formulas, specifically including: Based on the composition of organic pollutants and the solution phase concentration of active components in the remediation material, the pathway reaction rate of the chemical redox process is calculated: ； in, This indicates the composition of organic pollutants in the aqueous phase. Indicates intermediate product. This indicates the active components in the repair material. express Component pollutants to intermediate products The reaction rate of the chemical degradation pathway. Represents the first rate constant. express The concentration of the component pollutants in the solution phase. Indicates active ingredient The concentration of the solution phase; Calculate the carbon dioxide generation rate during the redox process based on the pathway reaction rate and a specified proportionality coefficient for the conversion of pollutant carbon to carbon dioxide: ； in, This indicates the rate of carbon dioxide production during the redox process. This indicates a specified ratio coefficient for the conversion of pollutant carbon to carbon dioxide in a specified conversion pathway; Calculate the degradation reaction rate of the microbial degradation and transformation process based on microbial biomass, electron acceptor concentration, and organic pollutant concentration: ； in, Components representing electron acceptors express Component pollutants and The degradation reaction rate of the component electron acceptor undergoing microbial degradation and transformation. This represents the second rate constant. Indicates the use of Microbial biomass of component electron acceptors express The concentration of component pollutants, This indicates the concentration of the electron acceptor in component m. This represents the half-saturation constant of microorganisms. This represents the half-saturation constant of the electron acceptor. express The half-saturation constant of the component pollutants, Let be the inhibition constant of the n-component solute on the degradation reaction. This represents the product over all inhibitory components, where n represents the total number of components; Based on the degradation reaction rate and the ratio of pollutant carbon to carbon dioxide in the microbial degradation and transformation process, calculate the carbon dioxide generation rate during the microbial degradation and transformation process: ； in, This indicates the rate of carbon dioxide production during the microbial degradation and transformation process. This represents the ratio at which pollutant carbon is converted into carbon dioxide. The total carbon dioxide production rate is obtained by adding the carbon dioxide production rate during the redox process and the carbon dioxide production rate during the microbial degradation and transformation process. ； in, This indicates the total rate of carbon dioxide formation.

7. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 5, characterized in that, The overall methane formation rate was calculated using reaction kinetics formulas, specifically including: Based on the maximum methane formation rate and the organic carbon concentration in groundwater, the methane formation rate is calculated using Michaelis-Menten kinetics: ； in, Indicates the methane formation rate, Indicates the maximum methane formation rate. This indicates the concentration of organic carbon in groundwater. The half-saturation coefficient for methane formation. This indicates the temperature sensitivity of methanogens, where e represents the natural constant. This indicates the oxygen concentration in the soil pore volume. This indicates the soil oxygen concentration that reaches the hypoxic condition and causes methane production. Based on the maximum oxidation rate of methane and using Michaelis kinetics, the methane oxidation rate is calculated as follows: ； in, Indicates the methane oxidation rate, Indicates the maximum oxidation rate of methane. This indicates the methane concentration in the soil pore volume. and These represent the oxygen oxidation half-saturation constant and the methane oxidation half-saturation constant, respectively. This indicates the temperature sensitivity of methanogenic bacteria; Calculate the total methane formation rate based on the methane formation rate and methane oxidation rate: ； in, This indicates the total rate of methane formation.

8. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 5, characterized in that, The overall formation rate of nitrous oxide was calculated using reaction kinetic formulas, specifically including: Under microaerobic conditions, the formation rate of nitrous oxide during nitration was calculated using reaction kinetics formulas: ； in, This indicates the rate of nitrous oxide formation during nitration. This represents the emission coefficient for the conversion of nitrogen oxides during nitrification. This represents the rate constant of the nitration reaction. Indicates the biomass of ammonia-oxidizing microorganisms. and These represent the concentrations of ammonium nitrogen and dissolved oxygen in groundwater, respectively. and Let represent the half-saturation constants of nitrous oxide and oxygen, respectively. and These represent correction functions for the rate of dinitrogen oxide formation during nitration, respectively, based on pH and temperature. Under anoxic or anaerobic conditions, the net rate of nitrous oxide formation during denitrification was calculated using reaction kinetics formulas. ； in, This indicates the net rate of nitrous oxide production during denitrification. This indicates the proportion of nitrogen oxide intermediates released during denitrification. This represents the rate constant of the denitrification reaction. Indicates the biomass of denitrifying microorganisms. , and These represent the concentrations of nitrate, nitrite, and available organic carbon, respectively. and Let these represent the half-saturation constants of the nitrogen source and the carbon source, respectively. Represents the oxygen inhibition function. and These represent the correction functions of redox potential and pH on the rate of dinitrogen oxide formation during denitrification, respectively. The rate at which nitrous oxide is reduced to nitrogen gas was calculated using reaction kinetics formulas: ； in, This indicates the rate at which nitrous oxide is reduced to nitrogen gas. This represents the rate constant for the reduction of nitrous oxide. This represents the biomass of nitrous oxide-reducing microorganisms carrying the nosZ functional gene. This indicates the concentration of dissolved nitrous oxide in groundwater. and Let represent the half-saturation constants of nitrous oxide and organic carbon, respectively. This represents the correction function for the reduction rate of dinitrogen oxides based on pH. Calculate the total nitrous oxide formation rate based on the nitrification formation rate, the net nitrous oxide formation rate during denitrification, and the rate at which nitrous oxide is reduced to nitrogen gas: ； in, This indicates the overall rate of formation of nitrous oxide.

9. The greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites according to claim 1, characterized in that, The greenhouse gas emission accounting module includes a carbon dioxide emission calculation unit, a methane emission calculation unit, a nitrous oxide emission calculation unit, and a comprehensive greenhouse effect calculation unit; The carbon dioxide emission calculation unit is used to calculate carbon dioxide emissions based on the emission factor corresponding to carbon dioxide. ； in, Indicates carbon dioxide emissions. The volume of groundwater affected by the remediation process is represented by t, where t represents the reaction time. This indicates the total rate of carbon dioxide generation during the remediation process. This represents the material or energy consumption of activity p. Let p represent the carbon dioxide emission factor of the p-th activity, and P represent the total number of activities. The methane emission calculation unit is used to calculate methane emissions based on the corresponding emission factor. ； in, Indicates methane emissions. This represents the total methane generation rate during the remediation process. This represents the material or energy consumption of activity p. This represents the methane emission factor of activity p; The nitrous oxide emission calculation unit is used to calculate nitrous oxide emissions based on the corresponding emission factor. ； in, Indicates nitrous oxide emissions. This represents the total rate of nitrous oxide formation during the remediation process. For the material or energy consumption of activity p, The nitrogen oxide emission factor for activity p; The integrated greenhouse effect calculation unit is used to convert carbon dioxide emissions, methane emissions, and nitrous oxide emissions into integrated greenhouse effect values ​​according to the global warming potential coefficient on a preset annual scale. ； in, This represents the combined greenhouse effect as expressed in carbon dioxide equivalents. This represents the global warming potential of methane on a pre-defined number of years timescale. This represents the global warming potential of nitrous oxide on a pre-defined number of years scale.

10. A method for quantifying greenhouse gas emissions based on the greenhouse gas emission quantification system for the entire process of groundwater remediation of organically contaminated sites as described in any one of claims 1-9, characterized in that, The method for quantifying greenhouse gas emissions includes: The system boundary module defines the system boundary and functional units of groundwater organic pollution remediation technology throughout its life cycle. The repair technology list module constructs a repair technology list and selects target repair technologies from the repair technology list, which include technology type, process parameters and repair activity type, based on system boundaries and functional units. The Repair Activity Data Inventory module constructs an activity data inventory based on system boundaries, functional units, and target repair technologies; The emission factor database module matches or calculates the corresponding localized greenhouse gas emission factors based on the activity data list; The greenhouse gas emissions accounting module calculates greenhouse gas emissions based on the activity data list and emission factors; The data quality assessment module performs data quality analysis based on the activity data list, emission factors, and greenhouse gas emission results, and obtains a quality score; Based on the activity data list and greenhouse gas emission results, the sensitivity analysis module uses a probability-based global sensitivity analysis method to identify the core variables that have a significant impact on greenhouse gas emission results and their corresponding contribution rates. The uncertainty analysis module quantifies the uncertainties in the input parameters and calculation process based on the greenhouse gas emission results, quality scores, core variables, and corresponding contribution rates, and obtains the probability distribution characteristics of the emission results.

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