A method and device for evaluating farmland soil remediation technology

Abstract

The present invention discloses a method and device for evaluating farmland soil remediation technology. The environmental data collected from the preset farmland in this application covers various stages divided according to the soil remediation technology to be evaluated, and these stages include the whole life cycle process from resource and energy consumption to pollutant emissions. The environmental impact data set constructed by these data is input into the eFootprint software for modeling. The software outputs the environmental impact indicators and carbon footprint values ​​of each stage based on the life cycle assessment model, preset input and output types, transportation information and data sources. These indicators and values ​​are further used to calculate the proportion of each stage on the environment, and based on this, the specific impact of each stage on a specific area is evaluated, thereby providing a comprehensive environmental impact analysis framework to support the optimization and improvement of soil remediation technology.

Description

Technical Field

[0001] The present invention relates to the field of assessment of farmland soil remediation technology, and in particular to a method and device for assessing farmland soil remediation technology. Background Art

[0002] With the rapid development of industrialization and urbanization, heavy metal pollution has become a global environmental problem, especially in farmland soils. Heavy metal pollution mainly comes from industrial waste, excessive use of pesticides and fertilizers, and atmospheric deposition. These heavy metals enter the human body through the food chain, posing a serious threat to human health and ecosystems. To meet this challenge, current technologies for remediating heavy metal contamination in soil mainly include physical methods (such as imported soil improvement and electroremediation), chemical methods (such as chemical passivation and chemical leaching), biological methods (such as phytoremediation and microbial remediation), and agricultural ecological restoration methods. These technologies each have their own advantages and disadvantages, but they generally suffer from high costs, low efficiency, and potential damage to soil structure.

[0003] Although existing technologies have achieved certain results in removing heavy metals, there is a lack of systematic assessment of the environmental impacts (such as carbon emissions, energy consumption, etc.) generated during the remediation process. With the increasing global attention to climate change and sustainable development, evaluating and optimizing the environmental impact of soil remediation technologies has become an urgent issue to be addressed. Life cycle assessment (LCA), as a systematic environmental impact assessment method, is used to analyze the impact of a product or service on the environment throughout its entire life cycle from cradle to grave. Its application in soil remediation technology assessment can provide comprehensive data on resource consumption, pollutant emissions and environmental impacts, supporting the selection and optimization of more environmentally friendly remediation technologies.

[0004] However, existing soil remediation technology assessments mostly focus on the treatment effects and environmental impacts of a single technology, and lack comparative evaluations of multiple technical solutions, resulting in the inability of existing technologies to accurately assess farmland soil remediation. Summary of the Invention

[0005] The present invention provides a method and device for evaluating farmland soil remediation technology to solve the problem in the prior art that farmland soil remediation technology cannot be accurately evaluated.

[0006] In a first aspect, the present application provides a method for evaluating farmland soil remediation technology, comprising:

[0007] Environmental data is collected from a pre-set farmland; wherein the environmental data includes environmental data at various stages; the various stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated;

[0008] Based on the environmental data, collecting inventory data of the farmland soil remediation technology to construct an environmental impact data set;

[0009] Inputting the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset;

[0010] According to the environmental impact type indicator data and carbon footprint value, the proportion of environmental impact of each stage is obtained;

[0011] According to the proportions, the impact of each stage on the area to be assessed is evaluated.

[0012] This application first constructs a comprehensive environmental impact data set by systematically collecting environmental data at various stages in heavy metal contaminated farmland. These data sets are obtained by dividing the entire life cycle process into several stages based on the farmland soil remediation technology to be evaluated. Subsequently, these data sets are input into the eFootprint software for modeling, and the software's life cycle assessment model function is used, combined with the preset input and output types, transportation information and data sources, to accurately calculate the environmental impact type indicator data and carbon footprint values ​​for each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of each stage's impact on the environment is further obtained. Finally, based on these proportions, the specific environmental impact of each stage on the area to be evaluated is evaluated. This application can accurately evaluate key influencing links to solve the problem that the existing technology cannot accurately evaluate farmland soil remediation technology.

[0013] As a preferred embodiment of the first aspect, the eFootprint software is made to be based on a life cycle assessment model, specifically:

[0014] The life cycle assessment model includes a first formula and a second formula;

[0015] Among them, the first formula is:

[0016] Where, LCIA is life cycle impact, CF is the characterization impact factor, LCI is the corresponding life cycle inventory data; subscript c is the substance category, and subscript i is the impact category;

[0017] The second formula is: EIx = ΣWx [EP (x) / EF (2000)];

[0018] Where: EIx is the standardized result of the x-th potential environmental impact, Wx is the weight of the x-th potential environmental impact; EP(x) is the potential value of the product system on the x-th potential environmental impact; EF(2000) is the world per capita environmental impact benchmark value in 2000.

[0019] In this preferred embodiment, by applying the first formula, the present application can accurately calculate the life cycle impact of each substance category and impact category, thereby providing a detailed environmental impact analysis. This calculation helps to identify which substances and impact categories have the greatest impact on the environment and provides a basis for formulating improvement measures. The second formula compares and integrates different types of environmental impacts through standardization and weighted evaluation, thereby deriving the relative importance of the environmental impact of each stage. The present application can systematically evaluate and compare the environmental impacts of different remediation technologies, providing a scientific basis for selecting the optimal remediation solution.

[0020] As a preferred embodiment of the first aspect, the environmental data includes environmental data of each stage, specifically:

[0021] The various stages include the passivation agent preparation stage, the engineering implementation stage, the effect evaluation stage and the disposal stage.

[0022] In this preferred embodiment, the present application comprehensively assesses the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data from each stage, including the passivation agent preparation stage, the project implementation stage, the effect evaluation stage, and the disposal stage. This phased data collection and analysis enables identification of the specific contribution of each stage to environmental impact, thereby providing targeted improvement measures for optimizing the remediation process.

[0023] As a preferred embodiment of the first aspect, the environmental impact type indicator data of each stage include global warming potential value, primary energy consumption value, water resource consumption value, acidification value and eutrophication potential value.

[0024] In this preferred embodiment, the present application analyzes environmental impact indicator data at each stage, including global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential, to accurately assess the specific contribution of soil remediation technology in different environmental impacts. This detailed indicator analysis enables the identification of key environmental impact links and the development of targeted improvement measures. The present application provides a comprehensive environmental impact assessment framework that helps optimize soil remediation technology and reduce its overall environmental impact, thereby promoting the development of soil remediation technology in a more environmentally friendly and efficient direction.

[0025] As a preferred embodiment of the first aspect, the environmental data includes environmental data of each stage, specifically:

[0026] The environmental data of each stage is obtained by collecting resource consumption data, energy consumption data and pollutant emission data of each stage.

[0027] In this preferred embodiment, the present application obtains environmental data by collecting resource consumption data, energy consumption data, and pollutant emission data at each stage, enabling detailed analysis of the environmental impact of soil remediation technology at different stages. This data collection method ensures the comprehensiveness and accuracy of the environmental impact assessment, enabling the identification and quantification of the specific environmental impact of each stage. Through precise data analysis, the present application can formulate effective improvement measures, reduce the overall environmental impact, and promote the development of soil remediation technology in a more environmentally friendly and efficient direction.

[0028] In a second aspect, the present application provides an evaluation device for farmland soil remediation technology. The evaluation device for farmland soil remediation technology includes a collection module, a construction module, an input and output module, and an evaluation module;

[0029] The collection module is used to collect environmental data from the preset farmland; wherein the environmental data includes environmental data of each stage; each stage is obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated;

[0030] The construction module is used to collect the inventory data of the farmland soil remediation technology based on the environmental data and construct an environmental impact data set;

[0031] The input and output module is used to input the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset;

[0032] The evaluation module is used to obtain the proportion of environmental impact of each stage according to the environmental impact type indicator data and carbon footprint value;

[0033] According to the proportions, the impact of each stage on the area to be assessed is evaluated.

[0034] This device uses three modules to divide the work and coordinate work to better evaluate various farmland remediation technologies. This application first constructs a comprehensive environmental impact data set by systematically collecting environmental data at various stages in heavy metal contaminated farmland. These data sets are obtained by dividing the entire life cycle process into several stages based on the farmland soil remediation technology to be evaluated. Subsequently, these data sets are input into the eFootprint software for modeling, and the software's life cycle assessment model function is used, combined with the preset input and output types, transportation information and data sources, to accurately calculate the environmental impact type indicator data and carbon footprint values ​​for each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of each stage's impact on the environment is further obtained. Finally, based on these proportions, the specific environmental impact of each stage on the area to be evaluated is evaluated. This application can accurately evaluate key influencing links to solve the problem that the existing technology cannot accurately evaluate farmland soil remediation technology.

[0035] As a preferred embodiment of the second aspect, the eFootprint software is made to evaluate the life cycle model according to the following steps:

[0036] The life cycle assessment model includes a first formula and a second formula;

[0037] Among them, the first formula is:

[0038] Where, LCIA is life cycle impact, CF is the characterization impact factor, LCI is the corresponding life cycle inventory data; subscript c is the substance category, and subscript i is the impact category;

[0039] The second formula is: EIx = ΣWx [EP (x) / EF (2000)];

[0040] Where: EIx is the standardized result of the x-th potential environmental impact, Wx is the weight of the x-th potential environmental impact; EP(x) is the potential value of the product system on the x-th potential environmental impact; EF(2000) is the world per capita environmental impact benchmark value in 2000.

[0041] In this preferred embodiment, by applying the first formula, the present application can accurately calculate the life cycle impact of each substance category and impact category, thereby providing a detailed environmental impact analysis. This calculation helps to identify which substances and impact categories have the greatest impact on the environment and provides a basis for formulating improvement measures. The second formula compares and integrates different types of environmental impacts through standardization and weighted evaluation, thereby deriving the relative importance of the environmental impact of each stage. The present application can systematically evaluate and compare the environmental impacts of different remediation technologies, providing a scientific basis for selecting the optimal remediation solution.

[0042] As a preferred embodiment of the second aspect, the environmental data includes environmental data of each stage, specifically:

[0043] The various stages include the passivation agent preparation stage, the engineering implementation stage, the effect evaluation stage and the disposal stage.

[0044] In this preferred embodiment, the present application comprehensively assesses the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data from each stage, including the passivation agent preparation stage, the project implementation stage, the effect evaluation stage, and the disposal stage. This phased data collection and analysis enables identification of the specific contribution of each stage to environmental impact, thereby providing targeted improvement measures for optimizing the remediation process.

[0045] As a preferred embodiment of the second aspect, the environmental impact type indicator data of each stage include global warming potential value, primary energy consumption value, water resource consumption value, acidification value and eutrophication potential value.

[0046] In this preferred embodiment, the present application analyzes environmental impact indicator data at each stage, including global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential, to accurately assess the specific contribution of soil remediation technology in different environmental impacts. This detailed indicator analysis enables the identification of key environmental impact links and the development of targeted improvement measures. The present application provides a comprehensive environmental impact assessment framework that helps optimize soil remediation technology and reduce its overall environmental impact, thereby promoting the development of soil remediation technology in a more environmentally friendly and efficient direction.

[0047] As a preferred embodiment of the second aspect, the environmental data includes environmental data of each stage, specifically:

[0048] The environmental data of each stage is obtained by collecting resource consumption data, energy consumption data and pollutant emission data of each stage.

[0049] In this preferred embodiment, the present application obtains environmental data by collecting resource consumption data, energy consumption data, and pollutant emission data at each stage, enabling detailed analysis of the environmental impact of soil remediation technology at different stages. This data collection method ensures the comprehensiveness and accuracy of the environmental impact assessment, enabling the identification and quantification of the specific environmental impact of each stage. Through precise data analysis, the present application can formulate effective improvement measures, reduce the overall environmental impact, and promote the development of soil remediation technology in a more environmentally friendly and efficient direction. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1: A flow chart of an embodiment of the method for evaluating the farmland soil remediation technology provided in this application;

[0051] Figure 2 : A structural diagram of an embodiment of the research scope of the in-situ chemical passivation remediation of heavily polluted farmland using kenaf-alkaline carbon-silicon based materials provided in this application;

[0052] Figure 3 : A structural schematic diagram of an embodiment of the research scope of the moderately polluted farmland Sedum sedum-low accumulation rice rotation phytoremediation research provided in this application;

[0053] Figure 4 : A structural diagram of an embodiment of a new LCA model provided by this application;

[0054] Figure 5 : A structural diagram of an embodiment of adding a product input list provided by this application;

[0055] Figure 6 : A structural diagram of an embodiment of adding a product output list provided by this application;

[0056] Figure 7 : A structural diagram of an embodiment of the upstream data source of the added list substances provided in this application;

[0057] Figure 8 : A structural diagram of an embodiment of adding inventory material transportation information provided by this application;

[0058] Figure 9 : A structural diagram of an embodiment of the LCA result calculation solution provided in this application;

[0059] Figure 10 : A structural schematic diagram of an embodiment of the environmental impact of each stage of the moderately polluted farmland Sedum sedum-low accumulation rice rotation phytoremediation project provided in this application;

[0060] Figure 11 : A structural schematic diagram of an embodiment of an evaluation device for farmland soil remediation technology provided in this application. DETAILED DESCRIPTION

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0062] Example 1

[0063] Please refer to Figure 1 , which is an evaluation method for farmland soil remediation technology provided by an embodiment of the present invention.

[0064] In this embodiment, the process of the evaluation method of the farmland soil remediation technology in this application is described in detail through steps S01-S05.

[0065] This application uses the life cycle assessment goal to conduct an environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technologies, the passivation method and the phytoremediation method. This application selects a soil pollution remediation project for a certain cultivated land polluted by lead and zinc mines in a certain city and county in a certain province, and focuses on conducting a full life cycle (LCA) empirical evaluation of the chemical passivation remediation process and the phytoremediation process in the project. In this case, a 200-acre remediation core demonstration area and a 400-acre general demonstration area were established. The thickness of the remediated soil layer was 20 cm, and the total remediated soil volume was 80,000 m3. Among them, 46.1% of the points exceeded the standard by more than 5 times (severe pollution), and 43.8% of the points exceeded the standard by 3-5 times (moderate pollution). The main pollutant was Cd, and some points involved Cd and Pb composite pollution.

[0066] From 2018 to 2020, heavily contaminated farmland was remediated using in-situ chemical passivation technology using kenaf and alkaline carbon-silicon-based materials. Moderately contaminated farmland was remediated using phytoremediation technology using a mineral-associated sedum-low-accumulating rice rotation. Through pot and field experiments, passivation agents were screened, and an alkaline carbon-silicon-based material composed of coconut shell biochar, quicklime, and steel slag was selected as the passivation agent for heavily contaminated areas. The passivation agent application rate was initially set at 2% of the remediation layer's soil weight. Applications were made in small, frequent, and repeated applications, adjusted based on annual soil and plant monitoring results, over four applications. The passivation agent was evenly spread on the topsoil, thoroughly mixed with the contaminated farmland soil, and water was added to 70% of its field capacity. After equilibration for two weeks, cultivated kenaf plants were selected for agricultural planting. After remediation, soil available Cd and Pb concentrations were reduced by 84.0% and 94.5%, respectively, meeting the project's remediation target (a 70% reduction).

[0067] S01: Collecting environmental data from a preset farmland; wherein, the environmental data includes environmental data of each stage; the various stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated.

[0068] As a preferred embodiment of the first embodiment, the environmental data includes environmental data of each stage; the stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated, specifically:

[0069] According to the relevant provisions of ISO14040, the steps of life cycle assessment are divided into the following four steps: goal and scope determination; inventory analysis; impact assessment; and result analysis;

[0070] (1) Objective and scope determination. The life cycle assessment objective of this application is to conduct an environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technologies, passivation and phytoremediation. The functional unit is to remediate 20 mu of heavy metal contaminated farmland so that the Cd and Pb concentrations in crops meet the standards 100% and the effective Cd and Pb concentrations in the soil are reduced by more than 70%. The baseline flow is 2666.67 m3 of remediated soil. Establish the accounting boundary of the whole life cycle, and divide the whole life cycle process of chemical passivation remediation of contaminated farmland soil and plant remediation of contaminated farmland soil into 4 stages: ① The agent / plant production stage, which includes the environmental impact and carbon emissions of the production and transportation of the passivating agents quicklime, coconut shell biochar, and steel slag finally selected in pot tests and field plot tests / the cultivation of hyperaccumulators and low-accumulation rice; ② The project implementation stage, which includes the environmental impact and carbon emissions of the processes such as application of stabilization agents, deep tillage and mixing of soil, field management of hyperaccumulators and low-accumulation rice, and soil maintenance; ③ The effect evaluation stage, which includes the environmental impact and carbon emissions of the sampling, testing, and project acceptance stages; ④ The disposal stage, which includes the environmental impact and carbon emissions of the soil disposal process after stabilization and the harvested plant processing process. The boundaries for calculating carbon emissions and environmental impacts of different remediation projects are as follows: Figure 2 and Figure 3 shown.

[0071] S02: Based on the environmental data, collect the inventory data of the farmland soil remediation technology and construct an environmental impact data set.

[0072] As a preferred embodiment of the first embodiment, the environmental impact dataset is constructed based on inventory analysis, specifically:

[0073] Based on the defined accounting boundaries, surface inventory data was collected from field surveys and project-related materials, including material input data from the production process; this data includes resources, energy consumption, pollutant emissions, and pollutant treatment. The background inventory was obtained from the Life Cycle Inventory (LCI) general database, selecting processes with the most similar geographical origins and technical factors. The inventory data for all unit processes were aggregated to obtain the Life Cycle Inventory (LCI) list for the heavy metal contaminated farmland remediation project, as shown in Tables 1.1, 1.2, and Tables 2.1, 2.2:

[0074] Table 1.1 Inventory data for the in-situ chemical passivation project of kenaf-alkaline carbon-silicon based materials in heavily polluted farmland

[0075]

[0076] Table 1.2 Inventory data for the in-situ chemical passivation project using kenaf-alkaline carbon-silicon-based materials for heavily polluted farmland

[0077] type Dosage unit Heavy metal contaminated soil 20 mu Coconut shell biochar 9 ton steel slag 3 ton lime 3.6 ton Electricity 432000 kilowatt-hour Kenaf seeds 25 kilogram compound fertilizer 600 kilogram irrigation water 820 ton Passivation of heavy metal cadmium 6.62 kilogram Passivation of heavy metal lead 286.85 kilogram

[0078] Table 2.1 Inventory data for the phytoremediation project of moderately polluted farmland with Sedum serrata and low-accumulation rice rotation

[0079] Material Name Gross weight Transport distance Type of transport lime 3000 kg 4 kilometers Truck transport (8t) - diesel Meerschaum 3000 kg 4 kilometers Truck transport (8t) - diesel compound fertilizer 900 kg 2.5 kilometers Truck transport (2t) - diesel urea 80 kg 2.5 kilometers Truck transport (2t) - diesel Sedum sedum 600 kg 15 kilometers Truck transport (2t) - diesel

[0080] Table 2.2 Inventory data for the phytoremediation project of moderately polluted farmland with Sedum serrata and low-accumulation rice rotation

[0081] type Dosage unit Heavy metal contaminated soil 20 mu compound fertilizer 8620 kilogram urea 7184 kilogram lime 3000 kilogram Meerschaum 3000 kilogram diesel fuel 1176 kilogram Electricity 600 kilowatt-hour Harvesting Sedum sedum 600 kilogram Harvesting rice 10200 kilogram plastic film 109.296 kilogram irrigation water 14600 ton Passivation of heavy metal cadmium 2.216 kilogram Passivation of heavy metal lead 130.216 kilogram

[0082] S03: Inputting the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data of each stage and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset.

[0083] As a preferred embodiment of the first embodiment, the environmental impact dataset is input into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data of each stage and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset, specifically:

[0084] Based on the inventory data, restoration project modeling was carried out using eFootprint software, CLCD-China-ECER0.8 database, ELCD 3.0 database and Ecoinvent3.1 database.

[0085] eFootprint is an online LCA data reporting and analysis platform that enables web-based data collection, database integration, LCA modeling and analysis, and data publishing for supply chains.

[0086] In the eFootprint software, follow Figure 2 and Figure 3Based on the system boundary shown, establish the steps of each process in each link. The reference flows, input flows, and output flows involved are input according to the life cycle inventories obtained in Tables 1.1, 1.2 and Tables 2.1, 2.2. After completing the establishment of all steps, connect all steps together to form an overall system, completing the establishment of the ex situ remediation project model for the contaminated site. The further specific process is as follows:

[0087] eFootprint modeling process:

[0088] The eFootprint modeling process is divided into six parts: data collection, model establishment, adding input and output data, adding upstream / downstream processes, transportation information, and LCA result calculation and export.

[0089] ①Data collection:

[0090] Identify the product being studied and the primary process flow for its production. Collect input and output inventory data from relevant LCA papers, company inventory data, environmental impact assessment reports, project feasibility studies, industry yearbooks, and other materials. Gather and organize available data, extracting and converting data from these materials into usable LCA data. Common data sources, methods for acquiring data, and sources for data selection should include: yearbooks, industry reports, standard recommendations, monographs, company reports, emission factor manuals, the IPCC, and international databases.

[0091] ②Model establishment:

[0092] Create unit processes and fill in inventory data to build LCA models, such as Figure 4 In the lifecycle model interface, click Edit on the right side of the process description to fill in a representative description of the process goal.

[0093] ③Add input and output data:

[0094] Add basic information: Figure 5 As shown, select the input type (including raw materials / materials, energy, packaging, natural resources, etc.). For natural resources, you can search in the database and enter the quantity after selecting the natural resource type. For other inputs, you need to fill in the name, quantity, specification model and other information.

[0095] Add output basic information: such as Figure 6 As shown, select the output type (including environmental emissions, waste to be disposed, hazardous waste and renewable waste). For environmental emissions, you can search in the database and select the emissions, emission methods and quantities. For other outputs, you need to manually fill in the name, quantity, specifications and other information.

[0096] ④Add upstream / downstream process:

[0097] Add upstream / downstream data sources for each inventory substance, e.g. Figure 7 As shown, create a new unit process using the inputs / outputs in the list as products. Select the corresponding dataset in the system database, associate it, and save it. Alternatively, select the model's real-world process data from the database drop-down list and find the corresponding model to associate it with. If a substance in the list meets the cut-off rule, you can choose to ignore it.

[0098] ⑤Transportation information:

[0099] Fill in the transportation information of the listed substances, such as Figure 8 The system calculates the environmental impact of the transportation process based on the data in the background database.

[0100] ⑥LCA result calculation and export:

[0101] like Figure 9 As shown, add a calculation scheme, select the final product as the benchmark flow, customize the calculation scheme name, select the characterization / comprehensive indicators to be calculated in the indicator list below, and then save and calculate.

[0102] The calculation results will be displayed in the calculation results list below. Click Export to generate the calculation results in Excel format. After the data review and evaluation are completed, you can export the LCA report.

[0103] Furthermore, the life cycle assessment model is specifically as follows:

[0104] The results of life cycle environmental impact assessment are generally divided into three steps: characterization, standardization and weighted assessment. The calculation formula of the life cycle assessment model is shown in formula (1):

[0105]

[0106] Where LCIA stands for life cycle impact, CF is the characterized impact factor (from the selected life cycle impact assessment model), LCI is the corresponding life cycle inventory data; the subscript c is the substance category, and i is the impact category.

[0107] The life cycle assessment (LCA) results of the two farmland restoration projects were calculated using eFootprint software (Table 3). The environmental impact of the chemical passivation project was greater than that of the plant enrichment project.

[0108] Table 3 Life cycle assessment (LCA) calculation results of two farmland restoration technology projects

[0109]

[0110] Standardized and weighted assessments:

[0111] To compare the relative magnitudes of different types of environmental impacts, the characterization results were standardized based on a selected baseline value. The standardized baseline value was weighted using the 2000 global per capita environmental impact potential. Different types of environmental impacts have varying impacts on ecosystems and human health, so a weighted assessment of these impacts is necessary. The weighted values ​​were based on the weight coefficients developed by Wang Mingxin et al. and weighted for each environmental impact. The standardized and weighted environmental impact value of the product system can be calculated using Formula (2).

[0112] EIx=ΣWx[EP (x) / EF (2000)] (2)

[0113] Where: EIx is the standardized value of the xth potential environmental impact, Wx is the weight of the xth potential environmental impact, EP(x) is the product system's potential environmental impact on the xth potential, and EF(2000) is the world's per capita environmental impact benchmark for the year 2000. The standardized and weighted assessment results are shown in Table 4.

[0114] Table 4 Standardized and weighted assessment results of environmental impact potential

[0115]

[0116] The standardized and weighted assessment results (Table 4) show that the overall environmental impact of chemical passivation is higher than that of plant enrichment, indicating that plant enrichment has better environmental benefits. Water resource depletion and eutrophication are the largest environmental impacts of farmland soil remediation. The standardized results are the LCA results divided by the baseline value (dimensionless).

[0117] The carbon emissions and other environmental impacts of the two restoration technology projects were analyzed separately, and the results are shown in Tables 5 and 6:

[0118] For the chemical passivation remediation project, it was found that during the effect evaluation phase, the use of passivators fixed cadmium and lead in the soil, generating carbon gains and environmental benefits; the passivator preparation phase made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential. A detailed discussion and analysis of the five environmental impact types was conducted, as shown in Table 5.

[0119] Table 5 LCA characterization results of each stage of chemical passivation remediation project

[0120]

[0121] Furthermore, the passivation agent preparation, project implementation, and disposal phases all had positive contributions to global warming, with the passivation agent production phase accounting for the largest contribution, at 99.5%. The coconut shell biochar production process within the passivation agent preparation phase accounted for the primary environmental impact of the chemical passivation project, while the transportation of various raw materials was a secondary contributor. The impact assessment phase had negative contributions to global warming across all five indicators evaluated. Increasing the passivation of cadmium and lead in soil can increase environmental benefits and mitigate global warming.

[0122] Therefore, to further reduce greenhouse gas emissions and slow global warming, we need to start from the passivator production stage, especially to reduce carbon emissions during the biochar preparation process. First, we must strengthen basic technology research and focus on improving the efficiency and output of biochar pyrolysis. Secondly, the passivator preparation stage consumes a lot of electricity. We must continuously improve heating equipment and increase heating efficiency. We must also continuously optimize the process technology and improve equipment efficiency during the preparation stage to better reduce greenhouse gas emissions during the passivator preparation process. Improving the conversion technology during the preparation stage is the key to energy conservation and emission reduction.

[0123] For the phytoremediation project, it was found that during the effect evaluation phase, hyperaccumulators fixed cadmium and lead in the soil. At the same time, due to the planting of low-accumulation rice varieties, rice grains that met the "Food Hygiene Standards" (GB 2715-2016) were harvested, generating carbon income and environmental benefits. The project implementation phase made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential. A specific discussion and analysis of the five environmental impact types was conducted, as shown in Table 6.

[0124] Table 6 LCA characterization results of each stage of phytoremediation project

[0125]

[0126] In this preferred embodiment, the present application comprehensively assesses the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data from each stage, including the passivation agent preparation stage, the project implementation stage, the effect evaluation stage, and the disposal stage. This phased data collection and analysis enables identification of the specific contribution of each stage to environmental impact, thereby providing targeted improvement measures for optimizing the remediation process.

[0127] S04: According to the environmental impact type indicator data and the carbon footprint value, the proportion of the environmental impact of each stage is obtained.

[0128] Furthermore, by Figure 10It can be concluded that the project implementation phase caused the primary environmental impacts of the phytoremediation process, while the effectiveness evaluation phase generated environmental benefits, reducing environmental impacts. The effectiveness evaluation phase's contribution to global warming was negative, while its mitigation effect accounted for 38%. The hyperaccumulator cultivation phase, project implementation phase, and disposal phase all made positive contributions to global warming, with the project implementation phase contributing the most, at 58%. Project implementation contributed the most to acidification, with its acidification potential accounting for 77% of the total acidification potential. The disposal phase contributed the least, at 2%. The effectiveness evaluation phase made the largest and negative contribution to eutrophication, indicating that this phase generated environmental benefits, accounting for 58%. The environmental benefits generated by this phase outweighed the environmental impacts of the other phases, resulting in a negative eutrophication index for the phytoremediation project, indicating that the eutrophication index of the phytoremediation project was beneficial to the environment.

[0129] Furthermore, among the four stages, water resource consumption was the largest in the project implementation stage, accounting for 95% of the total energy consumption, while the hyperaccumulator plant cultivation stage, effect evaluation stage and disposal stage had little difference.

[0130] Phytoremediation can effectively reduce the environmental pollution of lead-zinc mining waste through plant adsorption, accumulation, and stabilization, increase soil organic matter content and fertility, and improve soil structure and water retention capacity. However, phytoremediation projects also have long lifespans, and plant development and growth are controlled by factors such as geography and climate. Most plants can only accumulate one or two metals. To reduce carbon emissions and other environmental impacts of phytoremediation projects, selecting suitable hyperaccumulators for soil remediation is crucial. During the project implementation phase, field management of plants can replace traditional compound fertilizers with new organic fertilizers to increase soil organic matter content and fertility, improve soil structure and water retention capacity, and reduce the environmental impact of fertilizers. The application of organic fertilizers can also increase soil yields of low-accumulation rice, furthering environmental benefits. To manage water consumption during the project implementation phase, improved water-saving irrigation techniques such as drip irrigation, sprinkler irrigation, and mist irrigation can be used. Integrated water and fertilizer irrigation techniques can be used to irrigate crops at regular intervals and in fixed quantities, reducing water consumption.

[0131] S05: Based on the proportions, evaluate and obtain the impact of each stage on the area to be evaluated.

[0132] As a preferred embodiment of the first embodiment, the impact of each stage on the area to be evaluated is evaluated based on the proportion, specifically:

[0133] By quantitatively comparing the carbon emissions and environmental impacts of different remediation technology projects, we can determine which unit processes in the remediation process have a higher contribution rate to the environmental impact, analyze the main sources of environmental impact more comprehensively, and make corresponding technical improvements based on the identified key pollution contribution sources. At the same time, it can also promote the rational allocation of resources and improve the utilization rate of various resources.

[0134] This application first constructs a comprehensive environmental impact data set by systematically collecting environmental data at various stages in heavy metal contaminated farmland. These data sets are obtained by dividing the entire life cycle process into several stages based on the farmland soil remediation technology to be evaluated. Subsequently, these data sets are input into the eFootprint software for modeling, and the software's life cycle assessment model function is used, combined with the preset input and output types, transportation information and data sources, to accurately calculate the environmental impact type indicator data and carbon footprint values ​​for each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of each stage's impact on the environment is further obtained. Finally, based on these proportions, the specific environmental impact of each stage on the area to be evaluated is evaluated. This application can accurately evaluate key influencing links to solve the problem that the existing technology cannot accurately evaluate farmland soil remediation technology.

[0135] Example 2

[0136] Please refer to Figure 11 , which is an evaluation device for farmland soil remediation technology provided in an embodiment of the present application.

[0137] In this embodiment, the evaluation device for farmland soil remediation technology includes a collection module 10 , a construction module 20 , an input and output module 30 and an evaluation module 40 .

[0138] This application uses the life cycle assessment goal to conduct an environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technologies, the passivation method and the phytoremediation method. This application selects a soil pollution remediation project for a certain cultivated land polluted by lead and zinc mines in a certain city and county in a certain province, and focuses on conducting a full life cycle (LCA) empirical evaluation of the chemical passivation remediation process and the phytoremediation process in the project. In this case, a 200-acre remediation core demonstration area and a 400-acre general demonstration area were established. The thickness of the remediated soil layer was 20 cm, and the total remediated soil volume was 80,000 m3. Among them, 46.1% of the points exceeded the standard by more than 5 times (severe pollution), and 43.8% of the points exceeded the standard by 3-5 times (moderate pollution). The main pollutant was Cd, and some points involved Cd and Pb composite pollution.

[0139] From 2018 to 2020, heavily contaminated farmland was remediated using in-situ chemical passivation technology using kenaf and alkaline carbon-silicon-based materials. Moderately contaminated farmland was remediated using phytoremediation technology using a mineral-associated sedum-low-accumulating rice rotation. Through pot and field experiments, passivation agents were screened, and an alkaline carbon-silicon-based material composed of coconut shell biochar, quicklime, and steel slag was selected as the passivation agent for heavily contaminated areas. The passivation agent application rate was initially set at 2% of the remediation layer's soil weight. Applications were made in small, frequent, and repeated applications, adjusted based on annual soil and plant monitoring results, over four applications. The passivation agent was evenly spread on the topsoil, thoroughly mixed with the contaminated farmland soil, and water was added to 70% of its field capacity. After equilibration for two weeks, cultivated kenaf plants were selected for agricultural planting. After remediation, soil available Cd and Pb concentrations were reduced by 84.0% and 94.5%, respectively, meeting the project's remediation target (a 70% reduction).

[0140] The acquisition module 10 is used to acquire environmental data from a preset farmland; wherein the environmental data includes environmental data of each stage; the various stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated.

[0141] As a preferred embodiment of the second embodiment, the environmental data includes environmental data of each stage; the stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated, specifically:

[0142] According to the relevant provisions of ISO14040, the steps of life cycle assessment are divided into the following four steps: goal and scope determination; inventory analysis; impact assessment; and result analysis;

[0143] (1) Objective and scope determination. The life cycle assessment objective of this application is to conduct an environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technologies, passivation and phytoremediation. The functional unit is to remediate 20 mu of heavy metal contaminated farmland so that the Cd and Pb concentrations in crops meet the standards 100% and the effective Cd and Pb concentrations in the soil are reduced by more than 70%. The baseline flow is 2666.67 m3 of remediated soil. Establish the accounting boundary of the whole life cycle, and divide the whole life cycle process of chemical passivation remediation of contaminated farmland soil and plant remediation of contaminated farmland soil into 4 stages: ① The agent / plant production stage, which includes the environmental impact and carbon emissions of the production and transportation of the passivating agents quicklime, coconut shell biochar, and steel slag finally selected in pot tests and field plot tests / the cultivation of hyperaccumulators and low-accumulation rice; ② The project implementation stage, which includes the environmental impact and carbon emissions of the processes such as application of stabilization agents, deep tillage and mixing of soil, field management of hyperaccumulators and low-accumulation rice, and soil maintenance; ③ The effect evaluation stage, which includes the environmental impact and carbon emissions of the sampling, testing, and project acceptance stages; ④ The disposal stage, which includes the environmental impact and carbon emissions of the soil disposal process after stabilization and the harvested plant processing process. The boundaries for calculating carbon emissions and environmental impacts of different remediation projects are as follows: Figure 2 and Figure 3 shown.

[0144] The construction module 20 is used to collect the inventory data of the farmland soil remediation technology based on the environmental data and construct an environmental impact data set.

[0145] As a preferred embodiment of the second embodiment, the environmental impact dataset is constructed based on inventory analysis, specifically:

[0146] Based on the defined accounting boundaries, surface inventory data was collected from field surveys and project-related materials, including material input data from the production process; this data includes resources, energy consumption, pollutant emissions, and pollutant treatment. The background inventory was obtained from the Life Cycle Inventory (LCI) general database, selecting processes with the most similar geographical origins and technical factors. The inventory data for all unit processes were aggregated to obtain the Life Cycle Inventory (LCI) list for the heavy metal contaminated farmland remediation project, as shown in Tables 1.1, 1.2, and Tables 2.1, 2.2:

[0147] Table 1.1 Inventory data for the in-situ chemical passivation project of kenaf-alkaline carbon-silicon based materials in heavily polluted farmland

[0148]

[0149]

[0150] Table 1.2 Inventory data for the in-situ chemical passivation project using kenaf-alkaline carbon-silicon-based materials for heavily polluted farmland

[0151] type Dosage unit Heavy metal contaminated soil 20 mu Coconut shell biochar 9 ton steel slag 3 ton lime 3.6 ton Electricity 432000 kilowatt-hour Kenaf seeds 25 kilogram compound fertilizer 600 kilogram irrigation water 820 ton Passivation of heavy metal cadmium 6.62 kilogram Passivation of heavy metal lead 286.85 kilogram

[0152] Table 2.1 Inventory data for the phytoremediation project of moderately polluted farmland with Sedum serrata and low-accumulation rice rotation

[0153] Material Name Gross weight Transport distance Type of transport lime 3000 kg 4 kilometers Truck transport (8t) - diesel Meerschaum 3000 kg 4 kilometers Truck transport (8t) - diesel compound fertilizer 900 kg 2.5 kilometers Truck transport (2t) - diesel urea 80 kg 2.5 kilometers Truck transport (2t) - diesel Sedum sedum 600 kg 15 kilometers Truck transport (2t) - diesel

[0154] Table 2.2 Inventory data for the phytoremediation project of moderately polluted farmland with Sedum serrata and low-accumulation rice rotation

[0155] type Dosage unit Heavy metal contaminated soil 20 mu compound fertilizer 8620 kilogram urea 7184 kilogram lime 3000 kilogram Meerschaum 3000 kilogram diesel fuel 1176 kilogram Electricity 600 kilowatt-hour Harvesting Sedum sedum 600 kilogram Harvesting rice 10200 kilogram plastic film 109.296 kilogram irrigation water 14600 ton Passivation of heavy metal cadmium 2.216 kilogram Passivation of heavy metal lead 130.216 kilogram

[0156] The input and output module 30 is used to input the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data of each stage and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset.

[0157] As a preferred embodiment of the second embodiment, the environmental impact dataset is input into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data of each stage and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset, specifically:

[0158] Based on the inventory data, restoration project modeling was carried out using eFootprint software, CLCD-China-ECER0.8 database, ELCD 3.0 database and Ecoinvent3.1 database.

[0159] eFootprint is an online LCA data reporting and analysis platform that enables web-based data collection, database integration, LCA modeling and analysis, and data publishing for supply chains.

[0160] In the eFootprint software, follow Figure 2 and Figure 3 Based on the system boundary shown, establish the steps of each process in each link. The reference flows, input flows, and output flows involved are input according to the life cycle inventories obtained in Tables 1.1, 1.2 and Tables 2.1, 2.2. After completing the establishment of all steps, connect all steps together to form an overall system, completing the establishment of the ex situ remediation project model for the contaminated site. The further specific process is as follows:

[0161] eFootprint modeling process:

[0162] The eFootprint modeling process is divided into six parts: data collection, model establishment, adding input and output data, adding upstream / downstream processes, transportation information, and LCA result calculation and export.

[0163] ①Data collection:

[0164] Identify the product being studied and the primary process flow for its production. Collect input and output inventory data from relevant LCA papers, company inventory data, environmental impact assessment reports, project feasibility studies, industry yearbooks, and other materials. Gather and organize available data, extracting and converting data from these materials into usable LCA data. Common data sources, methods for acquiring data, and sources for data selection should include: yearbooks, industry reports, standard recommendations, monographs, company reports, emission factor manuals, the IPCC, and international databases.

[0165] ②Model establishment:

[0166] Create unit processes and fill in inventory data to build LCA models, such as Figure 4 In the lifecycle model interface, click Edit on the right side of the process description to fill in a representative description of the process goal.

[0167] ③Add input and output data:

[0168] Add basic information: Figure 5 As shown, select the input type (including raw materials / materials, energy, packaging, natural resources, etc.). For natural resources, you can search in the database and enter the quantity after selecting the natural resource type. For other inputs, you need to fill in the name, quantity, specification model and other information.

[0169] Add output basic information: such as Figure 6 As shown, select the output type (including environmental emissions, waste to be disposed, hazardous waste and renewable waste). For environmental emissions, you can search in the database and select the emissions, emission methods and quantities. For other outputs, you need to manually fill in the name, quantity, specifications and other information.

[0170] ④Add upstream / downstream process:

[0171] Add upstream / downstream data sources for each inventory substance, e.g. Figure 7 As shown, create a new unit process using the inputs / outputs in the list as products. Select the corresponding dataset in the system database, associate it, and save it. Alternatively, select the model's real-world process data from the database drop-down list and find the corresponding model to associate it with. If a substance in the list meets the cut-off rule, you can choose to ignore it.

[0172] ⑤Transportation information:

[0173] Fill in the transportation information of the listed substances, such as Figure 8 The system calculates the environmental impact of the transportation process based on the data in the background database.

[0174] ⑥LCA result calculation and export:

[0175] like Figure 9 As shown, add a calculation scheme, select the final product as the benchmark flow, customize the calculation scheme name, select the characterization / comprehensive indicators to be calculated in the indicator list below, and then save and calculate.

[0176] The calculation results will be displayed in the calculation results list below. Click Export to generate the calculation results in Excel format. After the data review and evaluation are completed, you can export the LCA report.

[0177] Furthermore, the life cycle assessment model is specifically as follows:

[0178] The results of life cycle environmental impact assessment are generally divided into three steps: characterization, standardization and weighted assessment. The calculation formula of the life cycle assessment model is shown in formula (1):

[0179]

[0180] Where LCIA stands for life cycle impact, CF is the characterized impact factor (from the selected life cycle impact assessment model), LCI is the corresponding life cycle inventory data; the subscript c is the substance category, and i is the impact category.

[0181] The life cycle assessment (LCA) results of the two farmland restoration projects were calculated using eFootprint software (Table 3). The environmental impact of the chemical passivation project was greater than that of the plant enrichment project.

[0182] Table 3 Life cycle assessment (LCA) calculation results of two farmland restoration technology projects

[0183]

[0184] Standardized and weighted assessments:

[0185] To compare the relative magnitudes of different types of environmental impacts, the characterization results were standardized based on a selected baseline value. The standardized baseline value was weighted using the 2000 global per capita environmental impact potential. Different types of environmental impacts have varying impacts on ecosystems and human health, so a weighted assessment of these impacts is necessary. The weighted values ​​were based on the weight coefficients developed by Wang Mingxin et al. and weighted for each environmental impact. The standardized and weighted environmental impact value of the product system can be calculated using Formula (2).

[0186] EIx=ΣWx[EP (x) / EF (2000)] (2)

[0187] Where: EIx is the standardized value of the xth potential environmental impact, Wx is the weight of the xth potential environmental impact, EP(x) is the product system's potential environmental impact on the xth potential, and EF(2000) is the world's per capita environmental impact benchmark for the year 2000. The standardized and weighted assessment results are shown in Table 4.

[0188] Table 4 Standardized and weighted assessment results of environmental impact potential

[0189]

[0190] The standardized and weighted assessment results (Table 4) show that the overall environmental impact of chemical passivation is higher than that of plant enrichment, indicating that plant enrichment has better environmental benefits. Water resource depletion and eutrophication are the largest environmental impacts of farmland soil remediation. The standardized results are the LCA results divided by the baseline value (dimensionless).

[0191] The carbon emissions and other environmental impacts of the two restoration technology projects were analyzed separately, and the results are shown in Tables 5 and 6:

[0192] For the chemical passivation remediation project, it was found that during the effect evaluation phase, the use of passivators fixed cadmium and lead in the soil, generating carbon gains and environmental benefits; the passivator preparation phase made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential. A detailed discussion and analysis of the five environmental impact types was conducted, as shown in Table 5.

[0193] Table 5 LCA characterization results of each stage of chemical passivation remediation project

[0194]

[0195] Furthermore, the passivation agent preparation, project implementation, and disposal phases all had positive contributions to global warming, with the passivation agent production phase accounting for the largest contribution, at 99.5%. The coconut shell biochar production process within the passivation agent preparation phase accounted for the primary environmental impact of the chemical passivation project, while the transportation of various raw materials was a secondary contributor. The impact assessment phase had negative contributions to global warming across all five indicators evaluated. Increasing the passivation of cadmium and lead in soil can increase environmental benefits and mitigate global warming.

[0196] Therefore, to further reduce greenhouse gas emissions and slow global warming, we need to start from the passivator production stage, especially to reduce carbon emissions during the biochar preparation process. First, we must strengthen basic technology research and focus on improving the efficiency and output of biochar pyrolysis. Secondly, the passivator preparation stage consumes a lot of electricity. We must continuously improve heating equipment and increase heating efficiency. We must also continuously optimize the process technology and improve equipment efficiency during the preparation stage to better reduce greenhouse gas emissions during the passivator preparation process. Improving the conversion technology during the preparation stage is the key to energy conservation and emission reduction.

[0197] For the phytoremediation project, it was found that during the effect evaluation phase, hyperaccumulators fixed cadmium and lead in the soil. At the same time, due to the planting of low-accumulation rice varieties, rice grains that met the "Food Hygiene Standards" (GB 2715-2016) were harvested, generating carbon income and environmental benefits. The project implementation phase made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification, and eutrophication potential. A specific discussion and analysis of the five environmental impact types was conducted, as shown in Table 6.

[0198] Table 6 LCA characterization results of each stage of phytoremediation project

[0199]

[0200] In this preferred embodiment, the present application comprehensively assesses the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data from each stage, including the passivation agent preparation stage, the project implementation stage, the effect evaluation stage, and the disposal stage. This phased data collection and analysis enables identification of the specific contribution of each stage to environmental impact, thereby providing targeted improvement measures for optimizing the remediation process.

[0201] The evaluation module 40 is configured to obtain the proportion of environmental impact of each stage according to the environmental impact type indicator data and the carbon footprint value.

[0202] Furthermore, by Figure 10It can be concluded that the project implementation phase caused the primary environmental impacts of the phytoremediation process, while the effectiveness evaluation phase generated environmental benefits, reducing environmental impacts. The effectiveness evaluation phase's contribution to global warming was negative, while its mitigation effect accounted for 38%. The hyperaccumulator cultivation phase, project implementation phase, and disposal phase all made positive contributions to global warming, with the project implementation phase contributing the most, at 58%. Project implementation contributed the most to acidification, with its acidification potential accounting for 77% of the total acidification potential. The disposal phase contributed the least, at 2%. The effectiveness evaluation phase made the largest and negative contribution to eutrophication, indicating that this phase generated environmental benefits, accounting for 58%. The environmental benefits generated by this phase outweighed the environmental impacts of the other phases, resulting in a negative eutrophication index for the phytoremediation project, indicating that the eutrophication index of the phytoremediation project was beneficial to the environment.

[0203] Furthermore, among the four stages, water resource consumption was the largest in the project implementation stage, accounting for 95% of the total energy consumption, while the hyperaccumulator plant cultivation stage, effect evaluation stage and disposal stage had little difference.

[0204] Phytoremediation can effectively reduce the environmental pollution of lead-zinc mining waste through plant adsorption, accumulation, and stabilization, increase soil organic matter content and fertility, and improve soil structure and water retention capacity. However, phytoremediation projects also have long lifespans, and plant development and growth are controlled by factors such as geography and climate. Most plants can only accumulate one or two metals. To reduce carbon emissions and other environmental impacts of phytoremediation projects, selecting suitable hyperaccumulators for soil remediation is crucial. During the project implementation phase, field management of plants can replace traditional compound fertilizers with new organic fertilizers to increase soil organic matter content and fertility, improve soil structure and water retention capacity, and reduce the environmental impact of fertilizers. The application of organic fertilizers can also increase soil yields of low-accumulation rice, furthering environmental benefits. To manage water consumption during the project implementation phase, improved water-saving irrigation techniques such as drip irrigation, sprinkler irrigation, and mist irrigation can be used. Integrated water and fertilizer irrigation techniques can be used to irrigate crops at regular intervals and in fixed quantities, reducing water consumption.

[0205] The evaluation module 40 is further configured to evaluate the impact of each stage on the area to be evaluated based on the proportions.

[0206] As a preferred embodiment of the second embodiment, the impact of each stage on the area to be evaluated is evaluated based on the proportion, specifically:

[0207] By quantitatively comparing the carbon emissions and environmental impacts of different remediation technology projects, we can determine which unit processes in the remediation process have a higher contribution rate to the environmental impact, analyze the main sources of environmental impact more comprehensively, and make corresponding technical improvements based on the identified key pollution contribution sources. At the same time, it can also promote the rational allocation of resources and improve the utilization rate of various resources.

[0208] This device uses three modules to divide the work and coordinate work to better evaluate various farmland remediation technologies. This application first constructs a comprehensive environmental impact data set by systematically collecting environmental data at various stages in heavy metal contaminated farmland. These data sets are obtained by dividing the entire life cycle process into several stages based on the farmland soil remediation technology to be evaluated. Subsequently, these data sets are input into the eFootprint software for modeling, and the software's life cycle assessment model function is used, combined with the preset input and output types, transportation information and data sources, to accurately calculate the environmental impact type indicator data and carbon footprint values ​​for each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of each stage's impact on the environment is further obtained. Finally, based on these proportions, the specific environmental impact of each stage on the area to be evaluated is evaluated. This application can accurately evaluate key influencing links to solve the problem that the existing technology cannot accurately evaluate farmland soil remediation technology.

[0209] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for evaluating farmland soil remediation technology, characterized in that: include: Environmental data is collected from a pre-set farmland; wherein the environmental data includes environmental data at various stages; the various stages are obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated; Based on the environmental data, collecting inventory data of the farmland soil remediation technology to construct an environmental impact data set; Inputting the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset; According to the environmental impact type indicator data and carbon footprint value, the proportion of environmental impact of each stage is obtained; According to the proportions, the impact of each stage on the area to be assessed is evaluated.

2. The method for evaluating farmland soil remediation technology according to claim 1, characterized in that: The eFootprint software is evaluated according to the life cycle model, specifically: The life cycle assessment model includes a first formula and a second formula; Among them, the first formula is: Where, LCIA is life cycle impact, CF is the characterization impact factor, LCI is the corresponding life cycle inventory data; subscript c is the substance category, and subscript i is the impact category; The second formula is: EIx = ΣWx [EP (x) / EF (2000)]; Where: EIx is the standardized result of the x-th potential environmental impact, Wx is the weight of the x-th potential environmental impact; EP(x) is the potential value of the product system on the x-th potential environmental impact; EF(2000) is the world per capita environmental impact benchmark value in 2000.

3. The method for evaluating farmland soil remediation technology according to claim 1, characterized in that: The environmental data includes environmental data of each stage, specifically: The various stages include the passivation agent preparation stage, the engineering implementation stage, the effect evaluation stage and the disposal stage.

4. The method for evaluating farmland soil remediation technology according to claim 1, characterized in that: The environmental impact indicator data for each stage include global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential.

5. The method for evaluating farmland soil remediation technology according to claim 1, characterized in that: The environmental data includes environmental data of each stage, specifically: The environmental data of each stage is obtained by collecting resource consumption data, energy consumption data and pollutant emission data of each stage.

6. An evaluation device for farmland soil remediation technology, characterized in that: It includes acquisition module, construction module, input and output module and evaluation module; The collection module is used to collect environmental data from the preset farmland; wherein the environmental data includes environmental data of each stage; each stage is obtained by dividing the entire life cycle process according to the farmland soil remediation technology to be evaluated; The construction module is used to collect the inventory data of the farmland soil remediation technology based on the environmental data and construct an environmental impact data set; The input and output module is used to input the environmental impact dataset into the eFootprint software for modeling, so that the eFootprint software outputs the environmental impact type indicator data and the carbon footprint value of each stage according to the life cycle assessment model, the preset input and output types, the preset transportation information and the data source of the environmental impact dataset; The evaluation module is used to obtain the proportion of environmental impact of each stage according to the environmental impact type indicator data and carbon footprint value; According to the proportions, the impact of each stage on the area to be assessed is evaluated.

7. The device for evaluating farmland soil remediation technology according to claim 6, characterized in that: The eFootprint software is based on a life cycle assessment model, specifically: The life cycle assessment model includes a first formula and a second formula; Among them, the first formula is: Where, LCIA is life cycle impact, CF is the characterization impact factor, LCI is the corresponding life cycle inventory data; subscript c is the substance category, and subscript i is the impact category; The second formula is: EIx = ΣWx [EP (x) / EF (2000)]; Where: EIx is the standardized result of the x-th potential environmental impact, Wx is the weight of the x-th potential environmental impact; EP(x) is the potential value of the product system on the x-th potential environmental impact; EF(2000) is the world per capita environmental impact benchmark value in 2000.

8. The device for evaluating farmland soil remediation technology according to claim 6, characterized in that: The environmental data includes environmental data of each stage, specifically: The various stages include the passivation agent preparation stage, the engineering implementation stage, the effect evaluation stage and the disposal stage.

9. The device for evaluating farmland soil remediation technology according to claim 6, characterized in that: The environmental impact indicator data for each stage include global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential.

10. The device for evaluating farmland soil remediation technology according to claim 6, characterized in that: The environmental data includes environmental data of each stage, specifically: The environmental data of each stage is obtained by collecting resource consumption data, energy consumption data and pollutant emission data of each stage.

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