Method and device for evaluating green sustainability of polluted site remediation technology

Abstract

The invention relates to a pollution site remediation technology green sustainability evaluation method and device. The method comprises the steps that data of a target remediation project is acquired; wherein the data of the target remediation project comprises data in the process of carrying out soil remediation on the target contaminated site by adopting a target remediation technology, and / or data after carrying out soil remediation on the target contaminated site by adopting the target remediation technology; the data in the soil remediation process comprises soil carbon library data; processing the data of the target repair item, and determining a quantification result of the target repair item in the multiple dimension indexes; wherein the plurality of dimension indexes comprise an environment dimension index, an economic dimension index and a social dimension index; and processing the quantification result of the target repair item in the multiple dimension indexes to obtain a comprehensive benefit evaluation value of the target repair item. According to the method and the device, the dynamic change of the soil carbon library is integrated, and the environmental, economic and social dimension pollution site remediation technology green sustainable evaluation is covered.

Description

Technical Field

[0001] This disclosure relates to the field of environmental engineering technology, and in particular to a method and apparatus for evaluating the green sustainability of contaminated site remediation technology. Background Technology

[0002] Various remediation technologies are typically used in soil remediation of contaminated sites, including high-temperature thermal desorption, chemical oxidation, solidification and stabilization, ex-situ excavation and disposal, as well as ecological remediation technologies such as phytoremediation and microbial remediation. While these technologies reduce the risk of pollutants in the soil, they often come with significant energy consumption and greenhouse gas emissions. Among these technologies, the carbon emission assessment of contaminated site remediation technologies usually employs the Life Cycle Assessment (LCA) method. This method quantifies the fuel and electricity consumption of machinery and equipment, as well as the production and use of chemical agents during soil remediation, to calculate the direct energy consumption and greenhouse gas emissions. Carbon emissions from excavation and transportation, heat treatment, and agent preparation are considered unavoidable carbon costs of remediation technologies. However, these assessment methods often treat soil as a passive "object to be remediated," neglecting the role of soil as a dynamic element in the carbon cycle during the soil remediation process, and the impact of soil remediation activities on the soil carbon pool.

[0003] Furthermore, with the deepening of contaminated site remediation practices in my country, the industry has begun to pay more attention to the green sustainability of soil remediation processes. However, traditional contaminated site remediation is more oriented towards pollution risk control and economic costs, without considering the coordinated development of the environment, society, and economy during the soil remediation process. This has led to problems such as excessive use of chemicals, energy waste, and secondary pollution in some remediation projects, resulting in "over-remediation." Currently, while site remediation projects focus on pollution remediation effects and secondary pollution prevention during the supervision, monitoring, and acceptance stages, they lack systematic evaluation methods for the economic and social benefits and carbon footprint of the soil remediation process, failing to comprehensively reflect the green, low-carbon, and sustainable performance of remediation projects. Summary of the Invention

[0004] In view of this, this disclosure proposes a method, apparatus, electronic device, storage medium, and computer program product for evaluating the green sustainability of contaminated site remediation technology.

[0005] According to one aspect of this disclosure, a method for evaluating the green sustainability of contaminated site remediation technologies is provided, the method comprising:

[0006] Acquire data for the target remediation project; wherein, the data for the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data;

[0007] The data of the target remediation project is processed to determine the quantitative results of the target remediation project in multiple dimensions; wherein, the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators;

[0008] The quantitative results of the target remediation project across multiple dimensions are processed to obtain the comprehensive benefit evaluation value of the target remediation project.

[0009] In one possible implementation, the method further includes:

[0010] Determine the type of the target repair technique;

[0011] Based on the mapping relationship between preset repair technology types and preset monitoring methods, the target monitoring method corresponding to the target repair technology is determined;

[0012] During the soil remediation process of the target contaminated site using the aforementioned target remediation technology, the target monitoring method is used to monitor carbon emissions from the target contaminated site in order to obtain soil carbon pool data.

[0013] In one possible implementation, the preset remediation technology type includes: in-situ remediation technology for surfaces that have not been hardened, ex-situ remediation technology, and in-situ remediation technology for surfaces that have been hardened.

[0014] The preset monitoring methods include: on-site monitoring of soil carbon dioxide (CO2) flux and comparison of changes in soil organic carbon (SOC) content before and after soil remediation.

[0015] In one possible implementation, the step of using the target monitoring method to monitor carbon emissions from the target contaminated site to obtain soil carbon pool data includes:

[0016] Carbon emissions from the target contaminated site are monitored using the aforementioned target monitoring method, and soil carbon pool data are obtained by combining the target model; wherein, the target model is a model that incorporates pollutant degradation based on the microbial-enzyme-mediated decomposition (MEND) model.

[0017] In one possible implementation, the environmental dimension indicators include one or more of the following: wastewater discharge, hazardous waste generation, energy consumption, chemical consumption, changes in soil carbon pool during remediation, and carbon sink formed by land use after remediation.

[0018] The economic dimension indicators include one or more of the following: remediation costs, soil reuse revenue, and land redevelopment revenue;

[0019] The social dimension indicators include one or more of the following: employment opportunities during the recovery period and employment opportunities during the redevelopment period.

[0020] In one possible implementation, processing the data of the target remediation project to determine the quantitative results of the target remediation project across multiple dimensions includes:

[0021] Based on the wastewater discharge, hazardous waste generation, energy consumption, and reagent consumption, the total greenhouse gas emissions generated during the soil remediation activities at the target contaminated site using the target remediation technology are calculated using the life cycle assessment method or the carbon emission factor method.

[0022] Based on the changes in soil CO2 flux or SOC content before and after soil remediation monitored on-site, the changes in soil carbon pool during the soil remediation of the target contaminated site using the target remediation technology are calculated.

[0023] Based on the land use type after soil remediation of the target contaminated site, the amount of carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology is determined by using on-site monitoring of CO2 flux, life cycle method or carbon emission factor method.

[0024] The total greenhouse gas emissions generated during soil remediation of the target contaminated site using the target remediation technology, the change in soil carbon pool during soil remediation of the target contaminated site using the target remediation technology, and the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology will be used as the quantitative result of the target remediation project in the environmental dimension.

[0025] According to another aspect of this disclosure, a green sustainability evaluation device for contaminated site remediation technology is provided, the device comprising:

[0026] The acquisition module is used to acquire data of the target remediation project; wherein, the data of the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data;

[0027] The quantification module is used to process the data of the target remediation project and determine the quantification results of the target remediation project in multiple dimensions; wherein, the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators;

[0028] The evaluation module is used to process the quantitative results of the target remediation project across multiple dimensions to obtain a comprehensive benefit assessment value for the target remediation project.

[0029] According to another aspect of this disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-described method.

[0030] According to another aspect of this disclosure, a non-volatile computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-described method.

[0031] According to another aspect of this disclosure, a computer program product is provided, including a computer program or a non-volatile computer-readable storage medium carrying the computer program, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0032] This disclosure provides various methods for obtaining data on target remediation projects. This data includes data from the soil remediation process at the target contaminated site using the target remediation technology, and / or data after soil remediation using the target remediation technology. The soil remediation process data includes soil carbon pool data. The data is processed to determine the quantitative results of the target remediation project across multiple dimensions. These multiple dimensions include environmental, economic, and social indicators. The quantitative results of these multiple dimensions are then processed to obtain a comprehensive benefit assessment value for the target remediation project. By considering the dynamic changes in the soil carbon pool at the contaminated site, soil carbon pool data from the soil remediation process using the target remediation technology is included in the carbon emission accounting scope, determining the quantitative results of the target dimensions across multiple dimensions. The comprehensive benefit assessment value obtained by processing the quantitative results of the environmental, economic, and social indicators of the target remediation project can comprehensively reflect the green, low-carbon, and sustainable performance of the target remediation project. This enables the integration of dynamic changes in the soil carbon pool and the green sustainability assessment of contaminated site remediation technologies, encompassing environmental, economic, and social dimensions.

[0033] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0034] The accompanying drawings, which are included in and form part of this specification, illustrate exemplary embodiments, features, and aspects of this disclosure together with the specification and serve to explain the principles of this disclosure.

[0035] Figure 1 A flowchart is shown for a green sustainability evaluation method for contaminated site remediation technology according to an embodiment of the present disclosure.

[0036] Figure 2 A flowchart illustrating an embodiment of the present disclosure for acquiring soil carbon pool data is shown.

[0037] Figure 3 A schematic diagram of the structure of a target model according to an embodiment of the present disclosure is shown.

[0038] Figure 4 A flowchart illustrating the quantitative results of determining target remediation projects in terms of environmental dimensions according to an embodiment of the present disclosure is shown.

[0039] Figure 5 This diagram illustrates a structural design of a green sustainability assessment device for contaminated site remediation technology according to an embodiment of the present disclosure.

[0040] Figure 6 A block diagram of an electronic device 1900 according to an embodiment of the present disclosure is shown. Detailed Implementation

[0041] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0042] As used herein, the terms “comprising,” “including,” “having,” or variations thereof are open-ended and include one or more of the stated features, integrals, elements, steps, components, or functions, but do not exclude the presence or addition of one or more other features, integrals, elements, steps, components, functions, or groups thereof.

[0043] When an element is referred to as “connected,” “coupled,” “responding,” or a variation thereof relative to another element, it may be directly connected, coupled, or responding to another element, or there may be an intermediate element present.

[0044] Although the terms first, second, third, etc., may be used herein to describe various elements / operations, these elements / operations should not be limited by these terms. These terms are only used to distinguish one element / operation from another. Therefore, without departing from the teachings of the inventive concept, a first element / operation in some embodiments may be referred to as a second element / operation in other embodiments.

[0045] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0046] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0047] Soil carbon pools are a crucial component of the global carbon cycle, with a carbon storage capacity of approximately 150 billion tons, exceeding the combined carbon storage of the atmosphere and vegetation. Soil organic carbon (SOC) can release CO2 into the atmosphere through the decomposition of organic matter, or it can be permanently fixed in the soil through processes such as phytocarbons and litter return. The soil remediation process at contaminated sites significantly impacts the dynamic balance of the soil carbon pool. For example, high-intensity physical / chemical remediation techniques (such as high-temperature thermal desorption and in-situ oxidation with strong oxidants) accelerate the decomposition and mineralization of soil organic matter, releasing large amounts of soil organic carbon as CO2 and reducing soil carbon storage. Conversely, ecological remediation techniques (such as phytoremediation, microbial remediation, and stabilization remediation with added organic amendments) can increase soil organic carbon content, enhancing the soil's function as a carbon sink. Therefore, assessing the carbon emissions of remediation technologies without considering the dynamic changes in the soil carbon pool, such as its transformation from source to sink or from sink to source, will result in significant biases in the assessment results.

[0048] In related technologies, the life cycle assessment and carbon emission accounting of contaminated site remediation technologies do not fully consider the dynamic changes in the soil carbon pool during the soil remediation process, ignoring the impact of changes in soil carbon content on indirect carbon emissions or carbon sequestration effects. This technical deficiency leads to significant biases in carbon emission assessment results: on the one hand, highly disturbed remediation technologies (such as thermal desorption and strong oxidation technologies) accelerate soil carbon mineralization, leading to additional CO2 emissions, but this impact is ignored in related technologies, resulting in an underestimation of their actual carbon footprint; on the other hand, the emission reduction benefits of ecological remediation technologies (such as phytoremediation and microbial remediation) by increasing soil carbon sinks are not reflected, resulting in insufficient recognition of their carbon emission reduction value and an underestimation of their carbon emission reduction value. This one-sidedness of the assessment method leads to inaccurate measurement of the environmental benefits of remediation projects, making it difficult to objectively compare the "carbon costs" of different remediation projects. Consequently, in actual decision-making, managers may unknowingly choose high-carbon emission remediation technologies or underestimate the potential value of low-carbon solutions, failing to effectively achieve the dual goals of pollution control and carbon emission reduction.

[0049] Furthermore, to achieve the sustainable reuse of contaminated sites, the concept of "green sustainable remediation" has gradually emerged, emphasizing the comprehensive benefits of environmental friendliness, economic rationality, and social acceptance while controlling pollution risks. In 2009, the Sustainable Remediation Forum (SuRF) in the United States released the "Sustainable Remediation White Paper," and in 2011, it proposed the "Sustainable Remediation Framework," clarifying that green sustainable remediation should synergistically optimize environmental, economic, and social benefits. In recent years, my country has also actively implemented the "dual-carbon" strategy and ecological civilization construction, and green sustainable remediation has become an important development direction for contaminated site remediation. The industry standard "General Rules for Green Sustainable Remediation of Contaminated Sites" (T / CAEPI 26-2020) was promulgated in 2020. In December 2023, the Ministry of Ecology and Environment issued the "Guiding Opinions on Promoting Soil Pollution Risk Management and Green Low-Carbon Remediation," further emphasizing the importance of improving the remediation assessment indicator system and methods. However, although the current "General Rules for Green Sustainable Remediation of Contaminated Sites" in China has constructed an evaluation framework with environmental, economic, and social dimensions, it still lacks feasible quantitative methods and specific calculation formulas, resulting in insufficient practical operability and making it difficult to effectively implement the evaluation indicators. Currently, the supervision, monitoring, and completion acceptance system for site remediation mainly focuses on the environmental remediation effect and the prevention and control of secondary pollution. It lacks systematic evaluation methods for the economic costs, social benefits, resource utilization efficiency, and carbon footprint management in the soil remediation process, and cannot fully reflect the overall green, low-carbon, and sustainable performance of the remediation project.

[0050] To address one or more of the aforementioned technical problems, this disclosure provides a green sustainability assessment method for contaminated site remediation technologies that integrates dynamic changes in the soil carbon pool (detailed description below). This method comprehensively considers the role of soil as a dynamic element of the carbon cycle in the soil remediation process, as well as the impact of soil remediation activities on the soil carbon pool, thus integrating dynamic changes in the soil carbon pool and encompassing environmental, economic, and social dimensions for the green sustainability assessment of contaminated site remediation technologies. In some examples, a microbial-enzyme decomposition (MEND) model is incorporated to comprehensively evaluate the environmental, economic, and social sustainability benefits of remediation technologies and improve the accuracy of estimating dynamic changes in the soil carbon pool.

[0051] For example, the green sustainability evaluation method for contaminated site remediation technology provided in this disclosure can be executed by electronic devices such as terminal devices and servers, or a part of an electronic device. The terminal device can be a desktop terminal or a mobile terminal, such as a laptop, tablet, desktop computer, smartphone, smart speaker, smartwatch, smart TV, vehicle terminal, or other types of electronic devices. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks, and big data and artificial intelligence platforms.

[0052] The following will combine Figure 1 This disclosure provides a detailed explanation of the green sustainability evaluation method for contaminated site remediation technologies.

[0053] Figure 1 A flowchart illustrating a green sustainability assessment method for contaminated site remediation technology according to an embodiment of this disclosure is shown. Figure 1 As shown, the method may include the following steps:

[0054] Step 101: Obtain data for the target remediation project; wherein, the data for the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data.

[0055] Here, "target contaminated site" refers to any site that requires soil remediation; "target remediation project" refers to a project that carries out soil remediation on the target contaminated site; and "target remediation technology" refers to the remediation technology used in the target remediation project.

[0056] Among them, soil carbon pool data can reflect the dynamic changes of soil carbon pool from source to sink or from sink to source;

[0057] For example, soil carbon pool data during the soil remediation process of a target contaminated site using targeted remediation technologies can include changes in the soil carbon pool during remediation, i.e., the differences in the soil carbon pool before and after remediation. This comprehensively considers the dynamic changes in the soil carbon pool during the soil remediation process of a target contaminated site, from source to sink or from sink to source, thereby improving the accuracy of assessing the carbon emissions of the targeted remediation technology.

[0058] As an example, data during the soil remediation process of a target contaminated site using targeted remediation technology may include: all costs incurred throughout the entire soil remediation process; the total amount of manual labor involved; activity data and resource consumption data at each stage of the soil remediation process, such as fuel consumption (e.g., fuel consumption for machinery and equipment), electricity consumption, usage of various chemical agents, wastewater discharge, hazardous waste generation, etc.; and on-site monitoring of soil carbon dioxide (CO2) flux, soil organic carbon content before and after remediation, etc.

[0059] As another example, data after soil remediation of a targeted contaminated site using targeted remediation technology may include: the planned use of the land after soil remediation of the targeted contaminated site, the land use type after soil remediation of the targeted contaminated site, and so on.

[0060] Step 102: Process the data of the target remediation project to determine the quantitative results of the target remediation project in multiple dimensions; wherein, the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators.

[0061] For example, quantitative calculations are performed on the data of the target remediation project to determine the quantitative results of the target remediation project in various dimensions.

[0062] In one possible implementation, the method further includes: establishing a green sustainability evaluation index system for contaminated site remediation technologies. For example, based on the goals and requirements of green and sustainable remediation, a three-dimensional evaluation index system of environmental, economic, and social dimensions for contaminated site remediation technologies can be constructed. This constructed evaluation index system includes environmental, economic, and social dimension indicators, thus comprehensively covering the evaluation elements of contaminated site remediation technologies from environmental impact to economic and social benefits, providing a basis for quantitative calculation of data for target remediation projects.

[0063] The specific indicators included in each dimension can be set according to needs. For example, when selecting specific indicators in each dimension, one can refer to domestic and international sustainable remediation evaluation frameworks (such as the Sustainable Remediation Forum-UK in the UK) and the guiding principles of my country's relevant industry standard "General Rules for Green Sustainable Remediation of Contaminated Sites", and combine them with actual remediation project experience to select indicators that can objectively reflect the comprehensive performance of the remediation project.

[0064] As an example, environmental indicators may include: wastewater discharge, hazardous waste generation, energy consumption, chemical consumption, changes in the soil carbon pool during remediation, and carbon sequestration from post-remediation land use. Among these, wastewater discharge, hazardous waste generation, energy consumption, and chemical consumption reflect the direct environmental impact of remediation activities at contaminated sites; changes in the soil carbon pool during remediation can be obtained by monitoring soil CO2 flux or comparing changes in soil SOC content before and after remediation; and carbon sequestration from post-remediation land use can be obtained by assessing the carbon sequestration capacity of newly added green spaces. Therefore, considering the dynamic changes in the soil carbon pool at contaminated sites, changes in the soil carbon pool during the remediation process using targeted remediation technologies for target contaminated sites are included in the scope of carbon emission accounting.

[0065] As another example, economic indicators can include: remediation costs, soil reuse benefits, and land redevelopment benefits. Remediation costs represent the direct expenses incurred in implementing remediation technologies; soil reuse benefits represent the cost savings or value created by the resource-based disposal of contaminated soil during the remediation process; and land redevelopment benefits represent the increased market value resulting from the improved land function after soil remediation.

[0066] As another example, social dimension indicators can include: job opportunities during the remediation period and job opportunities during the redevelopment period. Job opportunities during the remediation period refer to the number of jobs and economic income directly or indirectly created during the construction process using remediation technologies; job opportunities during the redevelopment period refer to the number of jobs and economic income created long-term by the remediated land under new uses (such as commercial, residential, industrial, public facilities, etc.) after soil remediation is completed.

[0067] For example, for any dimension indicator, the relevant data in the target repair project data can be quantitatively calculated based on the various indicators of that dimension indicator to obtain the quantitative result of the target repair project in that dimension indicator.

[0068] For example, the quantification results of environmental indicators for target remediation projects can be expressed using greenhouse gases (such as...). Emissions equivalents represent the quantitative results of the target remediation projects in terms of economic indicators, which can be expressed in monetary terms. The quantitative results of the target remediation projects in terms of social indicators can also be expressed in monetary terms.

[0069] Step 103: Process the quantitative results of the target repair project in multiple dimensions to obtain the comprehensive benefit evaluation value of the target repair project.

[0070] In one possible implementation, the quantitative results of the target remediation project in environmental, economic, and social dimensions can all be converted into comparable values ​​in a unified evaluation unit. Then, based on the values ​​in the unified evaluation unit converted from the quantitative results of the target remediation project in multiple dimensions, the comprehensive benefit assessment value of the target remediation project can be calculated.

[0071] As an example, a currency (such as RMB) can be chosen as the unified unit of evaluation. For instance, the quantified results of environmental indicators for a target remediation project can be converted into economic losses expressed in monetary terms using the Social Cost of Carbon (SCC) coefficient. For example, taking the social cost of emitting 1 ton of CO2 as approximately RMB 0.17 / kgCO2 (i.e., RMB 170 / ton) as an example, the total greenhouse gas emissions (E tons) generated by the target remediation project can be multiplied by RMB 170 / ton to estimate its potential economic loss as 170 × E yuan. The quantified results of economic indicators for the target remediation project expressed in monetary terms can be directly used as the converted values; the quantified results of social indicators for the target remediation project expressed in monetary terms can also be directly used as the converted values.

[0072] As an example, the quantified results of multiple indicators for a target remediation project can be uniformly included in the Net Present Value (NPV) model for calculation, thus obtaining the NPV value of the target remediation project, which is the comprehensive benefit assessment value of the target remediation project. For example, the environmental cost can be included in the NPV model along with remediation costs, soil reuse benefits, land appreciation benefits, employment benefits, and other economic and social indicators. Assuming the assessment period is 30 years and the social discount rate r=3%, the land appreciation and employment benefits over the next 30 years can be discounted to present value, and then added to or subtracted from the remediation cost and environmental cost to obtain the NPV value of the target remediation project.

[0073] The comprehensive benefit assessment value of the target remediation project can fully reflect the green, low-carbon and sustainable performance of the target remediation project. For example, the green sustainability performance of the target remediation project can be evaluated based on the comprehensive benefit assessment value of the target remediation project. For example, if the NPV value of the target remediation project is positive, it means that the overall benefits of the target remediation project are greater than the costs over its life cycle, and it has good sustainability. If the NPV value of the target remediation project is negative, it means that the costs are higher than the benefits, and the target remediation project is unsustainable as a whole.

[0074] In some scenarios, by further adjusting the input-output data of remediation projects and comparing the NPV of each remediation project, the remediation strategy with the lowest environmental cost and the greatest overall benefit can be selected.

[0075] As another example, the carbon emissions of targeted remediation technologies can be assessed. For instance, the carbon emissions of targeted remediation technologies can be evaluated based on the quantitative results of environmental indicators of the targeted remediation projects. This approach comprehensively considers the role of soil as a dynamic element in the carbon cycle during soil remediation, as well as the impact of soil remediation activities on the soil carbon pool. When assessing the carbon emissions of targeted remediation technologies, the dynamic changes in the soil carbon pool—from source to sink or from sink to source—are integrated, thus providing a more comprehensive and accurate evaluation of the true carbon emission levels of targeted remediation technologies. Furthermore, it allows for a comprehensive and accurate evaluation of the true greenhouse gas emission levels of various remediation technologies, providing a scientific basis for the selection and optimization of contaminated site remediation technologies, thereby achieving synergistic benefits between pollution control and climate change mitigation.

[0076] For example, since the quantitative results of the target remediation project in multiple dimensions include the quantitative results of the target remediation project in environmental dimensions, the comprehensive benefit assessment value of the target remediation project obtained based on the quantitative results of the target remediation project in multiple dimensions can more accurately measure the environmental benefits of the target remediation project; thus, the "carbon cost" of different remediation projects can be objectively compared, so as to help managers select remediation projects that adopt low-carbon emission remediation technologies in actual decision-making, thereby achieving the dual goals of pollution control and carbon emission reduction.

[0077] In this embodiment of the disclosure, data of the target remediation project is acquired. This data includes data from the soil remediation process of the target contaminated site using the target remediation technology, and / or data after soil remediation using the target remediation technology. The data from the soil remediation process includes soil carbon pool data. The data of the target remediation project is processed to determine the quantitative results of the target remediation project in multiple dimensions. These multiple dimensions include environmental, economic, and social indicators. The quantitative results of the target remediation project in these multiple dimensions are processed to obtain a comprehensive benefit assessment value for the target remediation project. Thus, considering the dynamic changes in the soil carbon pool of the contaminated site, the soil carbon pool data from the soil remediation process using the target remediation technology is included in the carbon emission accounting scope, determining the quantitative results of the target dimensions in multiple dimensions. The comprehensive benefit assessment value of the target remediation project obtained by processing the quantitative results of the environmental, economic, and social indicators can comprehensively reflect the green, low-carbon, and sustainable performance of the target remediation project. This achieves a green and sustainable evaluation of contaminated site remediation technology that integrates dynamic changes in the soil carbon pool and covers environmental, economic, and social dimensions.

[0078] In some examples, the MEND model is used to comprehensively assess the environmental, economic and social sustainability benefits of remediation technologies and improve the accuracy of estimates of dynamic changes in the soil carbon pool.

[0079] In some examples, a monetization model system for socio-economic indicators and environmental carbon emission indicators based on a green and sustainable evaluation index system has been constructed. Specifically, this includes calculation methods for converting the quantitative results of social and economic indicators (such as land value increment and employment benefits) into monetized values, and model formulas for converting the quantitative results of environmental indicators into monetized values ​​based on the social cost of carbon. Through this model, the quantitative results of target remediation projects across multiple dimensions can be directly converted into monetary values, and NPV can be further calculated to achieve a comprehensive quantitative assessment of the social cost-effectiveness of target remediation projects, thereby fully reflecting the green sustainability of target remediation projects.

[0080] In some examples, changes in soil carbon flux or soil organic carbon content during soil remediation of target contaminated sites using targeted remediation technologies can be quantitatively analyzed. This allows for a more comprehensive and accurate assessment of carbon emissions from target remediation projects by considering the role of soil as a dynamic element in the carbon cycle during soil remediation, as well as the impact of soil remediation activities on the soil carbon pool. This addresses the shortcomings of existing life cycle assessment methods that neglect changes in the soil carbon pool. Furthermore, it can better guide the selection and optimization of contaminated site remediation technologies, actively responding to the national strategy of "synergistic efficiency improvement in pollution reduction and carbon reduction." Simultaneously, by combining practical experience in contaminated site remediation, it refines and improves green and sustainable remediation indicators and evaluation tools for contaminated sites, achieving truly green, low-carbon, and sustainable site remediation goals.

[0081] In some examples, taking into account the research findings and experience of green and sustainable remediation both domestically and internationally, and considering the actual situation of contaminated site remediation in my country, evaluation indicators for green and low-carbon remediation across three dimensions—environmental, economic, and social—were constructed based on the fundamental framework of the "General Rules for Green and Sustainable Remediation of Contaminated Sites." The selection principles for the indicators in each dimension and the calculation methods for their quantitative results were also clarified. These three dimensions of indicators can provide a theoretical basis and practical reference for further improving the evaluation of green and sustainable remediation of contaminated sites in my country, and will help promote the positive transformation of the field of contaminated site remediation towards green, low-carbon, and sustainable development.

[0082] The following provides an exemplary description of possible implementation methods for obtaining soil carbon pool data during the soil remediation process in step 101 above.

[0083] Figure 2 This diagram illustrates a flowchart of obtaining soil carbon pool data according to an embodiment of the present disclosure; as shown. Figure 2 As shown, it includes the following steps:

[0084] Step 201: Determine the type of the target repair technology.

[0085] Step 202: Based on the mapping relationship between preset repair technology types and preset monitoring methods, determine the target monitoring method corresponding to the target repair technology.

[0086] For example, the preset remediation technology types include: in-situ remediation technology for surfaces without hardening treatment, ex-situ remediation technology, and in-situ remediation technology for surfaces with hardening treatment. For instance, in-situ remediation technology for surfaces without hardening treatment may include: phytoremediation, in-situ chemical oxidation, etc.; ex-situ remediation technology may include: ex-situ soil washing, ex-situ thermal desorption, etc.; and in-situ remediation technology for surfaces with hardening treatment may include: in-situ thermal desorption requiring a covering layer, solidification and stabilization, etc.

[0087] For example, the preset monitoring methods include: on-site monitoring of soil carbon dioxide (CO2) flux and comparison of changes in soil organic carbon (SOC) content before and after soil remediation.

[0088] As an example, for in-situ remediation technologies where the surface is not hardened, the corresponding target monitoring method is on-site monitoring of soil CO2 flux. For ex-situ remediation technologies and in-situ remediation technologies where the surface is hardened, the corresponding target monitoring method is comparing the changes in soil organic carbon (SOC) content before and after remediation, i.e., using the soil SOC content comparison method to assess changes in the soil carbon pool; where "corresponds" indicates a mapping relationship. Since it is difficult to directly monitor soil-atmosphere carbon exchange on-site for ex-situ remediation technologies or in-situ remediation technologies that require surface hardening, the soil SOC content comparison method can be used to assess changes in the soil carbon pool.

[0089] Step 203: During the soil remediation process of the target contaminated site using the target remediation technology, carbon emissions of the target contaminated site are monitored using the target monitoring method to obtain soil carbon pool data.

[0090] The carbon emission monitoring of the target contaminated site refers to the monitoring of carbon emissions from the soil of the target contaminated site in order to monitor the dynamic changes in the soil carbon pool from source to sink or from sink to source.

[0091] As an example, when the target remediation technology is in-situ remediation where the surface is not hardened, the change in soil carbon flux during the soil remediation process is measured using on-site monitoring methods; for example, the surface soil CO2 flux is monitored regularly during the soil remediation process of the target contaminated site using in-situ remediation technology.

[0092] For example, soil respiration measurement devices can be deployed at the target contaminated site to determine the CO2 release rate per unit area of ​​soil per hour, and to continuously monitor the entire process of soil remediation at the target contaminated site using in-situ remediation technology. By integrating the CO2 flux data for each time period over time, the total amount of CO2 net released or absorbed by the target contaminated site due to soil respiration and photosynthesis during that period can be calculated.

[0093] For example, during the soil remediation of a target contaminated site using in-situ remediation technology, the TARGAS-1 portable photosynthesis measurement system from PPSystems, USA, is used to periodically monitor the CO2 flux of the surface soil at the target contaminated site, as shown in the following formula:

[0094]

[0095] In the formula, F represents the CO2 flux (mg·m³). -2 ·h -1 ), C f and C i Let V and T represent the initial and final CO2 concentrations, respectively; V represent the system volume (i.e., the volume of the static chamber); Δt represent the measurement time; A represents the soil area covered by the air chamber (i.e., the bottom area of ​​the static chamber); P0 represents the air pressure under standard conditions (101.325 kPa); T0 represents the absolute air temperature under standard conditions (273.15 K (0 °C)); and P and T represent the air pressure and absolute air temperature at the sampling point, respectively. f -C i ) / Δt represents the slope of the linear model of CO2 concentration over time.

[0096] Furthermore, carbon flux change data throughout the entire process of soil remediation of a target contaminated site using in-situ remediation technology can be obtained based on surface soil CO2 flux, serving as soil carbon pool data.

[0097] As another example, when the target remediation technology is ex-situ remediation or in-situ remediation with surface hardening, before soil remediation of the target contaminated site using ex-situ remediation or in-situ remediation with surface hardening, representative soil samples from the target contaminated site are collected to determine the initial organic carbon (SOC) content. After soil remediation of the target contaminated site using ex-situ remediation or in-situ remediation with surface hardening, soil samples are collected at the same location of the target contaminated site to determine the remediated SOC content. Then, based on the initial and remediated SOC contents, the difference in SOC content per unit volume of soil in the target contaminated site before and after remediation is compared to calculate the increase or decrease in soil carbon storage, which serves as soil carbon pool data. The above conversion process uses the conversion relationship between carbon element and CO2 molecular weight and assumes that within the evaluated life cycle time (soil carbon dynamics are generally calculated in 100 years), most of the lost SOC is ultimately released in the form of CO2. For example, the change in soil SOC content before and after remediation can be converted into an equivalent amount of CO2 emissions using the following formula:

[0098] Esoc = ΔSOC × ρ × 44 / 12

[0099] In the formula, Esoc represents the CO2 emissions per cubic meter of soil due to changes in SOC (Solar Oxygen Content). ρ represents the soil bulk density (kg / m³).

[0100] In one possible implementation, the step of using the target monitoring method to monitor carbon emissions from the target contaminated site to obtain the soil carbon pool data includes: using the target monitoring method to monitor carbon emissions from the target contaminated site and combining it with a target model to obtain the soil carbon pool data; wherein the target model is a model that introduces pollutant degradation based on the microbial-enzyme-mediated decomposition (MEND) model.

[0101] Figure 3 This diagram illustrates the structure of a target model according to an embodiment of the present disclosure, as shown below. Figure 3 As shown, the target model is the modified MEND model that incorporates pollutant degradation; that is, pollutant-degrading enzymes and the tricarboxylic acid cycle are introduced into the original MEND model, while other parts of the original MEND model remain unchanged.

[0102] For example, the CO2 flux data obtained from the above-mentioned field monitoring and the SOC measurement results before and after soil remediation can be input into the target model. The target model can explicitly simulate the transformation pathway of soil organic carbon during microbial activity, dormancy, and death, as well as the carbon degradation kinetics of various enzymatic reactions such as oxidases and hydrolases, thereby accurately characterizing the release, transformation, and sequestration of soil carbon during soil remediation. By introducing pollutant degradation pathways and the generation and respiration emission of intermediate metabolites, the target model can not only simultaneously simulate the degradation dynamics of organic carbon and pollutants, but also make mechanistic predictions of soil carbon flux under complex environmental conditions. By using the target model to fit and optimize the carbon flow data during the monitoring period, the uncertainty caused by the insufficient spatiotemporal representativeness of a single monitoring method can be reduced, and the simulation accuracy of the dynamic changes in the soil carbon pool can be improved, thereby obtaining soil carbon budget results (i.e., soil carbon pool data) that are closer to the actual remediation period, and these results can be incorporated into greenhouse gas emission accounting.

[0103] Thus, the target model, which is an extension of the MEND model, serves as a soil organic carbon decomposition simulation tool based on microbial and enzyme kinetic mechanisms. It can dynamically simulate and predict the decomposition rate, mineralization release, and potential carbon sequestration of soil organic matter based on measured soil CO2 flux or SOC data. This provides mechanistic support for the accurate estimation of soil carbon pool changes during soil remediation of target contaminated sites using targeted remediation technologies, and overcomes the shortcomings of traditional methods that rely solely on short-term observations or before-and-after comparisons.

[0104] In this embodiment, the type of the target remediation technology is determined; based on the mapping relationship between the remediation technology type and the monitoring method, the target monitoring method corresponding to the target remediation technology is determined; wherein, the remediation technology type includes: in-situ remediation technology without surface hardening, ex-situ remediation technology, and in-situ remediation technology with surface hardening; during the soil remediation of the target contaminated site using the target remediation technology, the target monitoring method is used to monitor carbon emissions from the target contaminated site to obtain soil carbon pool data. Thus, by selecting the corresponding monitoring method based on the type of remediation technology used in the target remediation project to obtain soil carbon emissions / sedimentation, the impact of dynamic changes in the soil carbon pool on the greenhouse gas balance can be further quantified.

[0105] In some examples, based on whether the remediation technology disturbs the soil and surface, it can be categorized into in-situ unhardened (i.e., in-situ remediation technology with surface hardening) and ex-situ / in-situ hardened (i.e., ex-situ remediation technology or in-situ remediation technology without surface hardening). Corresponding carbon emission monitoring methods are then employed for each: in-situ unhardened remediation uses on-site soil CO2 flux monitoring, while ex-situ / in-situ hardened remediation uses pre- and post-treatment SOC content measurements, thereby achieving dynamic monitoring of soil carbon based on differences in soil remediation types. This scheme of classifying and selecting corresponding monitoring methods according to remediation technology type is targeted and operable, ensuring the effective quantification of the impact of soil carbon emissions under different remediation technology scenarios.

[0106] In some examples, a comprehensive and accurate carbon emission assessment system for remediation technologies that integrates the MEND model is established. This system incorporates the dynamic changes of the soil carbon pool into the scope of carbon emission accounting. Combined with the MEND model, it is used to comprehensively assess the environmental, economic and social sustainability benefits of remediation technologies and improve the accuracy of estimating the dynamic changes of the soil carbon pool. This can then guide the optimal selection of remediation technologies for contaminated sites and implement the national strategy of "synergistic efficiency improvement in pollution reduction and carbon reduction".

[0107] The following is an illustrative example of the possible ways to process the data of the target repair project in step 102 above and determine the quantitative results of the target repair project in multiple dimensions.

[0108] (1) For environmental dimension indicators

[0109] Figure 4 A flowchart illustrating the quantitative results of determining environmental indicators of a target remediation project according to an embodiment of the present disclosure is shown, as follows: Figure 4 As shown, the following steps may be included:

[0110] Step 401: Based on the wastewater discharge, the hazardous waste generation, the energy consumption, and the reagent consumption, calculate the total greenhouse gas emissions generated during the soil remediation activities of the target contaminated site using the target remediation technology, using the life cycle assessment method or the carbon emission factor method.

[0111] As an example, the Life Cycle Assessment (LCA) method can be used to calculate total greenhouse gas emissions. For instance, the wastewater discharge, hazardous waste generation, energy consumption, and reagent consumption can be substituted into an LCA model (such as OpenLCA or GaBi software), combined with a relevant emission factor database, to calculate the CO2 emissions generated by the remediation project at each stage of its entire life cycle. This represents the total greenhouse gas emissions generated by remediation activities during the targeted remediation of the contaminated site using targeted remediation technologies. The LCA method comprehensively considers both direct and indirect emissions, requires high data integrity, but yields accurate and reliable results.

[0112] As an example, the carbon emission factor method can be used to calculate total greenhouse gas emissions. For instance, for each activity data point in the entire process of soil remediation of a target contaminated site using targeted remediation technology, an appropriate unit emission factor is selected for multiplication. For example, fuel consumption is multiplied by the CO2 emission factor per unit calorific value of fuel combustion, electricity consumption is multiplied by the CO2 emission factor of the power grid, and reagent usage is multiplied by the CO2 emission factor of its production process. These are then summed to obtain the total CO2 emissions, which represents the total greenhouse gas emissions generated by the remediation activities during the soil remediation of the target contaminated site using targeted remediation technology. The carbon emission factor method is quick to calculate and practical for situations where data availability is limited.

[0113] Step 402: Based on the changes in soil CO2 flux or SOC content before and after soil remediation monitored on-site, calculate the changes in soil carbon pool during the soil remediation of the target contaminated site using the target remediation technology.

[0114] As an example, when the target remediation technology is either ex-situ remediation or in-situ remediation involving surface hardening, the change in SOC content before and after soil remediation is converted into the total CO2 equivalent emissions, thus obtaining the change in soil carbon pool during the soil remediation process of the target contaminated site. The conversion method can be referred to the relevant descriptions above.

[0115] As another example, when the target remediation technology is an in-situ remediation technology where the surface is not hardened, the soil CO2 flux rate per unit area monitored on-site is integrated into the total CO2 emissions of the entire target contaminated site and the entire remediation cycle, thereby obtaining the change in soil carbon pool during the soil remediation process of the target contaminated site by the target remediation technology.

[0116] In this way, by quantitatively analyzing the changes in soil carbon flux or soil organic carbon content during the soil remediation of target contaminated sites using targeted remediation technologies, and by comprehensively considering the role of soil as a dynamic element of the carbon cycle in the soil remediation process, as well as the impact of soil remediation activities of target remediation projects on the soil carbon pool, a more comprehensive and accurate carbon emission assessment of target remediation projects is achieved, making up for the shortcomings of existing life cycle assessment methods that ignore changes in the soil carbon pool.

[0117] For example, the target model can be extended from the MEND model. Based on the measured soil CO2 flux and SOC data, the decomposition rate of soil organic matter, mineralization release and potential carbon sequestration can be dynamically simulated and predicted. This provides mechanistic support for the accurate estimation of soil carbon pool changes during the soil remediation process of contaminated sites, making up for the shortcomings of traditional methods that only rely on short-term observations or before-and-after comparisons. It can also be combined with traditional energy emission inventories to form a complete life cycle carbon emission accounting method.

[0118] Step 403: Based on the land use type after soil remediation of the target contaminated site, determine the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology by adopting on-site monitoring of CO2 flux, life cycle method or carbon emission factor method.

[0119] For example, land use types can include greening, vegetation restoration, etc. As an example, the carbon sequestration capacity of newly added green space after soil remediation of the target contaminated site can be used to determine the carbon sink formed by land use after soil remediation of the target contaminated site; for example, if the land after soil remediation of the target contaminated site is used for greening or vegetation restoration, the average annual carbon sequestration can be estimated based on the area of ​​newly added green space, thereby achieving the assessment of the land carbon sink after soil remediation of the target contaminated site.

[0120] As an example, soil CO2 flux can be monitored in-situ to measure the carbon sink formed by land use after soil remediation of a target contaminated site using targeted remediation technologies. The method for monitoring soil CO2 flux in-situ can be found in the relevant descriptions above.

[0121] As another example, the life cycle method can be used to simulate and calculate the carbon sink formed by land use after soil remediation of a target contaminated site using targeted remediation technology; for example, the "CO2 absorption" data already available in the database (such as OpenLCA, GaBi, etc.) can be directly accessed.

[0122] As another example, the carbon emission factor method can be used to directly multiply the green area generated by the reuse of land after soil remediation of the target contaminated site by the carbon emission factor of the green area, and convert the product into the total cumulative carbon sequestration during the assessment period, thereby obtaining the carbon sink formed by land use after soil remediation of the target contaminated site.

[0123] Step 404: The sum of the total greenhouse gas emissions generated during the soil remediation activities of the target contaminated site using the target remediation technology, the change in soil carbon pool during the soil remediation of the target contaminated site using the target remediation technology, and the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology is used as the quantitative result of the target remediation project in the environmental dimension.

[0124] Thus, through steps 401-404 above, the environmental impact of the soil remediation process is uniformly quantified into greenhouse gases (e.g., ... The method for calculating carbon emissions equivalents for the entire process of contaminated site remediation was developed. In some examples, a model system for converting soil carbon change data into greenhouse gas emissions was established; for instance, the CO2 flux rate per unit area of ​​soil (mg·m²) can be converted. -2 ·h -1 The integral is converted into the total CO2 emissions of the entire contaminated site and the entire remediation cycle, and a formula model is used to calculate the CO2 equivalent emissions based on the reduction of soil SOC content (assuming that SOC is completely mineralized into CO2).

[0125] (2) Regarding economic dimension indicators

[0126] For example, the sum of the remediation cost of the target remediation project, the soil reuse revenue of the target remediation project, and the land redevelopment revenue of the target remediation project can be used as the quantitative result of the economic dimension indicator of the target remediation project.

[0127] As an example, the total cost of a targeted remediation project is calculated by summarizing all expenses incurred during the entire process of soil remediation of a targeted contaminated site using targeted remediation technologies.

[0128] For example, taking ex-situ remediation technology as an example, the total remediation cost includes: soil excavation and transportation disposal cost of xx million yuan, remediation agent procurement cost of yy million yuan, construction equipment and energy consumption cost of zz million yuan, monitoring and management cost of aa million yuan, etc., totaling approximately bb million yuan.

[0129] As another example, the amount of soil generated and recyclable during soil remediation is statistically analyzed, and the cost savings or value created are calculated based on its intended use, thus yielding the soil reuse benefit of the target remediation project. For instance, if approximately V cubic meters of contaminated soil are excavated during a remediation project, of which W cubic meters are treated and used for roadbed backfilling, replacing the need to purchase new fill soil; calculated at a market price of d (e.g., 40 yuan / m³), soil reuse saves approximately W × d yuan in remediation costs, equivalent to a benefit of cc yuan.

[0130] As another example, the land value appreciation can be assessed by considering the planned use of the land after soil remediation at the target contaminated site, thus obtaining the land redevelopment revenue of the target remediation project. For instance, assuming the land after soil remediation at the target contaminated site is planned for mixed commercial and residential use, the land appreciation revenue would be approximately T million yuan. For portions without direct market data, estimates can be made by referring to urban benchmark land prices and statistical yearbook data, as shown in the following formula:

[0131]

[0132] In the formula, T represents the land revenue (ten thousand yuan) after soil remediation of the target contaminated site; A represents the area (m²) of the target contaminated site planned for future commercial and residential or scientific research and education use; Pn represents the sales price of commercial housing (ten thousand yuan / m²), which is taken from the surrounding commercial housing prices when no actual survey data is available; Pt represents the construction cost (ten thousand yuan / m²), which is selected from the data published by the Ministry of Housing and Urban-Rural Development; Ps represents the land transaction unit price (ten thousand yuan / m²), which is taken from the transaction price of surrounding land with the same planned use when no actual survey data is available; for scientific research and education land, the latest year's "Benchmark Land Price Results for Urban and Rural Construction Land" can be referenced; Pr represents the sales price of industrial land (ten thousand yuan / m²), which can be referenced from the benchmark land price of industrial land of the corresponding level in the latest year's "Benchmark Land Price Results for Urban and Rural Construction Land"; FAR represents the plot ratio, which is taken from the plot ratio of surrounding land with the same planned use when no actual survey data is available; r represents the social discount rate, which is usually taken as 3%; a represents the benefit duration (years), which is generally taken as 30 years.

[0133] (3) Targeting social dimension indicators

[0134] For example, the benefits of employment opportunities during the restoration period and the benefits of employment opportunities during the redevelopment period can be calculated, and the sum of the benefits of employment opportunities during the restoration period and the benefits of employment opportunities during the redevelopment period can be used as the quantitative result of the social dimension indicator of the target restoration project.

[0135] As an example, the total amount of manual labor involved in the entire process of soil remediation of a target contaminated site using targeted remediation technology is statistically analyzed. Then, the product of the amount of manual labor and the average wage is calculated to obtain the total wage income for employment during the remediation period. This total wage income represents the employment opportunity revenue during the remediation period of the target remediation project. For example, if a target remediation project lasts for D days (the project duration is D days), employing a total of N workers of various types, with an average of M workers per day, and assuming the average daily wage in the local construction industry is S yuan / person·day, then the employment revenue during the remediation period would be approximately M × D × S yuan, totaling approximately ee yuan.

[0136] As another example, based on the new use of the land after soil remediation of the target contaminated site, estimate the number of jobs and corresponding wages after it becomes operational. These wages represent the employment opportunities generated during the redevelopment period of the target remediation project. For instance, assuming the remediated land is used for mixed commercial / residential development, with a commercial building area of ​​X square meters, approximately X / 20 jobs could be created at 20 square meters per person. The residential portion primarily provides property management employment; assuming a standard staffing level of 7.6 property management personnel per 10,000 square meters, if the residential area is Y square meters, approximately Y / 10,000 × 7.6 personnel would be needed. Considering additional public service positions in the area, a total of Z jobs are estimated to be created during the operational period. Referring to the local average annual wage of W yuan per person per year, the total annual employment wages generated would be Z × W yuan.

[0137] The methods described in the above embodiments of this disclosure make outstanding contributions to improving the completeness and accuracy of the assessment, revealing technical differences and guiding optimization, promoting green and low-carbon transformation, and supporting the "dual-carbon" strategy.

[0138] To improve the completeness and accuracy of the assessment: In some of the embodiments of this disclosure, changes in soil CO2 flux and SOC content are incorporated into the carbon emission assessment, achieving full coverage of greenhouse gas emissions during soil remediation and compensating for the assessment blind spots caused by the neglect of dynamic changes in the soil carbon pool in traditional LCA methods; by introducing the MEND model, mechanism-driven carbon pool change simulation is achieved based on the acquisition of monitoring data, which can distinguish the carbon emission contributions of natural processes and remediation disturbances and predict long-term carbon flow trends, thereby significantly improving the accuracy and reliability of the assessment results.

[0139] To reveal technological differences and guide optimization: By comprehensively considering direct energy emissions and indirect carbon emissions from soil, the above-mentioned embodiments of this disclosure can clearly quantify the carbon emission differences of various remediation technologies. For example, high-energy-consuming remediation technologies exhibit higher total emissions due to soil carbon loss, while ecological remediation technologies have lower actual net emissions due to the soil carbon sink effect. This assessment can uncover previously overlooked hidden emission sources or carbon sink contributions, providing a scientific basis for optimizing remediation projects. Consequently, decision-makers can prioritize remediation paths with lower greenhouse gas emissions while meeting pollution control objectives, achieving synergistic optimization of pollution control and carbon reduction.

[0140] To promote green and low-carbon transformation and support the "dual-carbon" strategy: The evaluation index system constructed in some embodiments of this disclosure covers environmental, economic, and social dimensions, and uses carbon social costs and other means to monetize and uniformly measure the index results, so that the evaluation results can intuitively reflect the green and low-carbon performance of remediation projects. This method is in line with the national carbon peaking and carbon neutrality strategy's requirements for reducing carbon emissions in various industries. By quantifying greenhouse gas emissions in the soil remediation process and identifying emission reduction potential, this method can provide data support for formulating low-carbon-oriented soil remediation policies and technical standards. Promoting the application of this method is conducive to implementing the concept of "synergistic efficiency in pollution reduction and carbon reduction" in the field of soil pollution control, accelerating the green and low-carbon transformation of the soil remediation industry, and contributing to the achievement of the "dual-carbon" goal.

[0141] The methods and embodiments described above can organically combine factors such as carbon emissions, cost-benefit analysis, and social impact in the process of contaminated site soil remediation, quantifying them into intuitive evaluation indicators and providing a scientific basis for decision-makers. In practice, different types of remediation projects can be evaluated using the methods described above to identify high-carbon emission links and areas for optimization, guiding the development of greener, lower-carbon, and more cost-effective site remediation strategies.

[0142] It should be noted that the above-described methods and embodiments are applicable to various remediation projects under different contaminated site types and combinations of remediation technologies. By flexibly selecting and adjusting evaluation indicators and parameters, the evaluation methods described above can be widely applied to green sustainability evaluation in the field of contaminated site remediation, providing technical support for promoting the green transformation and upgrading of the soil pollution control industry.

[0143] Based on the same inventive concept in the above method embodiments, the present disclosure also provides a green sustainability evaluation device for contaminated site remediation technology, which can be used to execute the technical solutions described in the above method embodiments.

[0144] Figure 5 This diagram illustrates a structural design of a green sustainability assessment device for contaminated site remediation technology according to an embodiment of the present disclosure. Figure 5As shown, the device may include: an acquisition module 501, used to acquire data of the target remediation project; wherein the data of the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data; a quantification module 502, used to process the data of the target remediation project to determine the quantification results of the target remediation project in multiple dimensions; wherein the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators; and an evaluation module 503, used to process the quantification results of the target remediation project in multiple dimensions to obtain a comprehensive benefit assessment value of the target remediation project.

[0145] In this embodiment of the disclosure, data of the target remediation project is acquired. This data includes data from the soil remediation process of the target contaminated site using the target remediation technology, and / or data after soil remediation using the target remediation technology. The data from the soil remediation process includes soil carbon pool data. The data of the target remediation project is processed to determine the quantitative results of the target remediation project across multiple dimensions. These multiple dimensions include environmental, economic, and social indicators. The quantitative results of the target remediation project across these multiple dimensions are processed to obtain a comprehensive benefit assessment value for the target remediation project. Thus, considering the dynamic changes in the soil carbon pool of the contaminated site, the soil carbon pool data from the soil remediation process of the target contaminated site using the target remediation technology is included in the scope of carbon emission accounting, determining the quantitative results of the target dimensions across multiple dimensions. The comprehensive benefit assessment value of the target remediation project obtained by processing the quantitative results of the environmental, economic, and social indicators can comprehensively reflect the green, low-carbon, and sustainable performance of the target remediation project. This enables the integration of dynamic changes in the soil carbon pool and the green sustainability assessment of contaminated site remediation technologies, encompassing environmental, economic, and social dimensions.

[0146] In one possible implementation, the acquisition module 501 is further configured to: determine the type of the target remediation technology; determine the target monitoring method corresponding to the target remediation technology based on the mapping relationship between the preset remediation technology type and the preset monitoring method; and, during the process of using the target remediation technology to remediate the soil of the target contaminated site, use the target monitoring method to monitor the carbon emissions of the target contaminated site in order to obtain the soil carbon pool data.

[0147] In one possible implementation, the preset remediation technology type includes: in-situ remediation technology for unhardened surfaces, ex-situ remediation technology, and in-situ remediation technology for hardened surfaces; the preset monitoring methods include: on-site monitoring of soil carbon dioxide (CO2) flux and comparison of changes in soil organic carbon (SOC) content before and after soil remediation.

[0148] In one possible implementation, the acquisition module 501 is further configured to: use the target monitoring method to monitor carbon emissions from the target contaminated site, and combine the target model to obtain the soil carbon pool data; wherein the target model is a model that introduces pollutant degradation based on the microbial-enzyme-mediated decomposition (MEND) model.

[0149] In one possible implementation, the environmental dimension indicators include one or more of the following: wastewater discharge, hazardous waste generation, energy consumption, chemical consumption, changes in soil carbon pool during remediation, and carbon sink formed by land use after remediation; the economic dimension indicators include one or more of the following: remediation cost, soil reuse revenue, and land redevelopment revenue; and the social dimension indicators include one or more of the following: employment opportunities during the remediation period and employment opportunities during the redevelopment period.

[0150] In one possible implementation, the quantification module 502 is further configured to: calculate, based on the wastewater discharge, the hazardous waste generation, the energy consumption, and the reagent consumption, using a life cycle assessment method or a carbon emission factor method, the total greenhouse gas emissions generated during soil remediation of the target contaminated site using the target remediation technology; calculate, based on the changes in soil CO2 flux or SOC content before and after soil remediation monitored in the field, the changes in soil carbon pool during soil remediation of the target contaminated site using the target remediation technology; determine, based on the land use type after soil remediation of the target contaminated site, the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology, using in-situ monitoring of CO2 flux, the life cycle method, or the carbon emission factor method; and use the sum of the total greenhouse gas emissions generated during soil remediation of the target contaminated site using the target remediation technology, the changes in soil carbon pool during soil remediation of the target contaminated site using the target remediation technology, and the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology as the quantification result of the target remediation project in the environmental dimension.

[0151] In some embodiments, the functions or modules of the apparatus provided in this disclosure can be used to perform the methods described in the above method embodiments. The specific implementation can be referred to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0152] This disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above method.

[0153] This disclosure also provides a non-volatile computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0154] This disclosure also provides a computer program product, including a computer program or a non-volatile computer-readable storage medium carrying the computer program, wherein the computer program, when executed by a processor, implements the steps of the above method.

[0155] Figure 6 A block diagram of an electronic device 1900 according to an embodiment of the present disclosure is shown. For example, the electronic device 1900 may be provided as a server or a terminal device. (Refer to...) Figure 6 The electronic device 1900 includes a processing component 1922, which further includes one or more processors, and memory resources represented by memory 1932 for storing instructions, such as application programs, that can be executed by the processing component 1922. The application programs stored in memory 1932 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 1922 is configured to execute instructions to perform the methods described above.

[0156] Electronic device 1900 may also include a power supply component 1926 configured to perform power management of electronic device 1900, a wired or wireless network interface 1950 configured to connect electronic device 1900 to a network, and an input / output interface 1958 (I / O interface). Electronic device 1900 can operate on an operating system, such as Windows Server, stored in memory 1932. TM Mac OS X TM Unix TM Linux TM FreeBSD TM Or similar.

[0157] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions that can be executed by a processing component 1922 of an electronic device 1900 to perform the above-described method.

[0158] Computer-readable storage media can be tangible devices capable of holding and storing programs / instructions used by instruction execution devices. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0159] The computer program (or computer-readable program instructions) described herein can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage medium in the respective computing / processing device.

[0160] The computer program (or computer program instructions) used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions to implement various aspects of this disclosure.

[0161] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0162] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0163] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0164] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0165] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for evaluating the green sustainability of contaminated site remediation technologies, characterized in that, The method includes: Acquire data for the target remediation project; wherein, the data for the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data; The data of the target remediation project is processed to determine the quantitative results of the target remediation project in multiple dimensions; wherein, the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators; The quantitative results of the target remediation project across multiple dimensions are processed to obtain the comprehensive benefit evaluation value of the target remediation project.

2. The method according to claim 1, characterized in that, The method further includes: Determine the type of the target repair technique; Based on the mapping relationship between preset repair technology types and preset monitoring methods, the target monitoring method corresponding to the target repair technology is determined; During the soil remediation process of the target contaminated site using the aforementioned target remediation technology, the target monitoring method is used to monitor carbon emissions from the target contaminated site in order to obtain soil carbon pool data.

3. The method according to claim 2, characterized in that, The preset repair technology types include: in-situ repair technology for unhardened surfaces, ex-situ repair technology, and in-situ repair technology for hardened surfaces. The preset monitoring methods include: on-site monitoring of soil carbon dioxide (CO2) flux and comparison of changes in soil organic carbon (SOC) content before and after soil remediation.

4. The method according to claim 2, characterized in that, The method of using the target monitoring approach to monitor carbon emissions from the target contaminated site in order to obtain soil carbon pool data includes: Carbon emissions from the target contaminated site are monitored using the aforementioned target monitoring method, and soil carbon pool data are obtained by combining the target model; wherein, the target model is a model that incorporates pollutant degradation based on the microbial-enzyme-mediated decomposition (MEND) model.

5. The method according to claim 1, characterized in that, The environmental dimension indicators include one or more of the following: wastewater discharge, hazardous waste generation, energy consumption, chemical consumption, changes in soil carbon pool during remediation, and carbon sink formed by land use after remediation. The economic dimension indicators include one or more of the following: remediation costs, soil reuse revenue, and land redevelopment revenue; The social dimension indicators include one or more of the following: employment opportunities during the recovery period and employment opportunities during the redevelopment period.

6. The method according to claim 5, characterized in that, The process of processing the data of the target repair project to determine the quantitative results of the target repair project in multiple dimensions includes: Based on the wastewater discharge, hazardous waste generation, energy consumption, and reagent consumption, the total greenhouse gas emissions generated during the soil remediation activities at the target contaminated site using the target remediation technology are calculated using the life cycle assessment method or the carbon emission factor method. Based on the changes in soil CO2 flux or SOC content before and after soil remediation monitored on-site, the changes in soil carbon pool during the soil remediation of the target contaminated site using the target remediation technology are calculated. Based on the land use type after soil remediation of the target contaminated site, the amount of carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology is determined by using on-site monitoring of CO2 flux, life cycle method or carbon emission factor method. The total greenhouse gas emissions generated during soil remediation of the target contaminated site using the target remediation technology, the change in soil carbon pool during soil remediation of the target contaminated site using the target remediation technology, and the carbon sink formed by land use after soil remediation of the target contaminated site using the target remediation technology will be used as the quantitative result of the target remediation project in the environmental dimension.

7. A green sustainability evaluation device for contaminated site remediation technology, characterized in that, The device includes: The acquisition module is used to acquire data of the target remediation project; wherein, the data of the target remediation project includes: data during the soil remediation process of the target contaminated site using the target remediation technology, and / or, data after the soil remediation of the target contaminated site using the target remediation technology; the data during the soil remediation process includes soil carbon pool data; The quantification module is used to process the data of the target remediation project and determine the quantification results of the target remediation project in multiple dimensions; wherein, the multiple dimensions include: environmental dimension indicators, economic dimension indicators, and social dimension indicators; The evaluation module is used to process the quantitative results of the target remediation project across multiple dimensions to obtain a comprehensive benefit assessment value for the target remediation project.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program, or a non-volatile computer-readable storage medium carrying a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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