Method and device for evaluating farmland soil remediation technology

Abstract

The invention discloses an evaluation method and device for a farmland soil remediation technology. The environment data acquired from the preset farmland covers all stages divided according to the to-be-evaluated soil remediation technology, and the stages comprise the whole life cycle process from resource and energy consumption to pollutant emission. An environment influence data set constructed through the data is input into eFootprint software for modeling, and the software outputs environment influence indexes and carbon footprint values of all stages according to a life cycle evaluation model, preset input and output types, transportation information and data sources. The indexes and the numerical values are further used for calculating the proportion of the influence of each stage on the environment, and the specific influence of each stage on a specific area is evaluated according to the proportion, so that a comprehensive environment influence analysis framework is provided, and optimization and improvement of a soil remediation technology are supported.

Description

Technical Field

[0001] The present invention relates to the field of assessment of farmland soil remediation technology, and in particular to an assessment method and device for 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 soil. 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 the ecosystem. In order to meet this challenge, the current soil heavy metal pollution remediation technologies mainly include physical methods (such as imported soil improvement and electroremediation), chemical methods (such as chemical passivation and chemical leaching), biological methods (such as plant and microbial remediation), and agricultural ecological restoration methods. These technologies have their own advantages and disadvantages, but they generally have problems such as high cost, low efficiency, and possible 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. As global attention to climate change and sustainable development increases, evaluating and optimizing the environmental impact of soil remediation technology has become an urgent issue to be addressed. Life cycle assessment (LCA) is a systematic environmental impact assessment method used to analyze the environmental impact of a product or service throughout its 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, so as to solve the problem that farmland soil remediation technology cannot be accurately evaluated in the prior art.

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

[0007] Environmental data is collected from the preset farmland; wherein the environmental data includes environmental data of each stage; the various stages are obtained by dividing the whole life cycle process according to the farmland soil remediation technology to be evaluated;

[0008] According to the environmental data, the inventory data of the farmland soil remediation technology is collected to construct an environmental impact data set;

[0009] Inputting the environmental impact data set 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 data set;

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

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

[0012] This application first constructs a comprehensive environmental impact data set by systematically collecting environmental data at various stages in farmland contaminated by heavy metals. 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 ​​of each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of environmental impact of each stage 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 farmland soil remediation technology cannot be accurately evaluated in the prior art.

[0013] As a preferred embodiment of the first aspect, the eFootprint software is made to evaluate the model according to the life cycle, specifically:

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

[0015] Among them, the first formula is:

[0016] In the formula, 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 environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; 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, providing a basis for formulating improvement measures. The second formula compares and integrates different types of environmental impacts through standardized 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 can comprehensively evaluate the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data at various stages, including the passivation agent preparation stage, engineering implementation stage, effect evaluation stage, and disposal stage. This staged data collection and analysis enables identification of the specific contribution of each stage to the 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 can accurately evaluate the specific contribution of soil remediation technology in different environmental impacts by analyzing the environmental impact type indicator data of each stage, including global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. This detailed indicator analysis makes it possible to identify key environmental impact links and formulate targeted improvement measures. The present application provides a comprehensive environmental impact assessment framework that helps to optimize soil remediation technology and reduce its overall environmental impact, thereby promoting soil remediation technology to develop 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, and can analyze in detail the environmental impact of soil remediation technology at different stages. This data collection method ensures the comprehensiveness and accuracy of the environmental impact assessment, making it possible to identify and quantify the specific impact on the environment at 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; the various stages are obtained by dividing the whole 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 according to the environmental data, and construct an environmental impact data set;

[0031] The input and output module is used to input the environmental impact data set 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 data set;

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

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

[0034] This device uses three modules to divide the work and coordinate work to better evaluate various farmland restoration 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 ​​of each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of environmental impact of each stage 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 farmland soil remediation technology cannot be accurately evaluated in the prior art.

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

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

[0037] Among them, the first formula is:

[0038] In the formula, 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 environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; 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, providing a basis for formulating improvement measures. The second formula compares and integrates different types of environmental impacts through standardized 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 can comprehensively evaluate the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data at various stages, including the passivation agent preparation stage, engineering implementation stage, effect evaluation stage, and disposal stage. This staged data collection and analysis enables identification of the specific contribution of each stage to the 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 can accurately evaluate the specific contribution of soil remediation technology in different environmental impacts by analyzing the environmental impact type indicator data of each stage, including global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. This detailed indicator analysis makes it possible to identify key environmental impact links and formulate targeted improvement measures. The present application provides a comprehensive environmental impact assessment framework that helps to optimize soil remediation technology and reduce its overall environmental impact, thereby promoting soil remediation technology to develop 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, and can analyze in detail the environmental impact of soil remediation technology at different stages. This data collection method ensures the comprehensiveness and accuracy of the environmental impact assessment, making it possible to identify and quantify the specific impact on the environment at 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 schematic diagram of a flow chart of an embodiment of a method for evaluating farmland soil remediation technology provided in the present application;

[0051] Figure 2 : A structural schematic diagram of an embodiment of the research scope of the in-situ chemical passivation remediation of heavily polluted farmland 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 moderately polluted farmland Sedum sedum-low accumulation rice rotation plant restoration provided in this application;

[0053] Figure 4 : A structural diagram of an embodiment of a newly created LCA model provided in this application;

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

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

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

[0057] Figure 8 : A structural diagram of an embodiment of adding the transport information of the inventory materials provided in this application;

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

[0059] Fig.10 : A structural schematic diagram of an embodiment of the environmental impact of each stage of the moderately polluted farmland Sedum-Low Accumulation Rice Rotation Plant Restoration Project provided in this application;

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

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] Embodiment 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 method for evaluating 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 environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technology passivation method and plant remediation method. This application selects a soil pollution remediation project of a certain cultivated land polluted by lead and zinc mines in a certain city and county in a certain province, focusing on the full life cycle (LCA) empirical evaluation of the chemical passivation remediation process and the plant remediation process in the project. In this case, a 200-acre core demonstration area for remediation and a 400-acre general demonstration area were established. The thickness of the remediated soil layer was 20cm, and the total remediated soil volume was 80,000m3. 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, the in-situ chemical passivation technology of kenaf-alkaline carbon-silicon-based materials was used to repair heavily polluted farmland for three consecutive years; the phytoremediation technology of sedum-low accumulation rice rotation was used to repair moderately polluted farmland. Through pot experiments and field plot experiments, the passivation agent was screened, and the alkaline carbon-silicon-based materials of coconut shell biochar, quicklime and steel slag were determined as passivation remediation agents in heavily polluted areas. The application amount of the passivation agent was initially set at 2% of the weight of the repair layer soil. The passivation agent was applied in a small amount and multiple times, and the amount of the passivation agent was appropriately adjusted according to the annual soil and plant monitoring results, and it was applied in four times. The passivation agent was evenly spread on the topsoil, and after the farmland contaminated soil and the passivation agent were fully mixed, water was added to 70% of the field water holding capacity. After balancing for 2 weeks, the cultivated kenaf was selected for agricultural planting. After the repair was completed, the reduction rates of 84.0% and 94.5% of the effective Cd and Pb concentrations in the soil reached the project remediation target (reduction of 70%).

[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 various 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) Determination of objectives and scope. The life cycle assessment objective of this application is to conduct environmental impact assessment and carbon footprint accounting for typical farmland heavy metal pollution remediation technologies, such as passivation and phytoremediation. The functional unit is to repair 20 mu of heavy metal contaminated farmland, so that the concentrations of Cd and Pb in crops meet the standards by 100% and the concentrations of effective Cd and Pb in the soil are reduced by more than 70%. The baseline flow is 2666.67 m3 of repaired 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 phytoremediation of contaminated farmland soil into four stages: ① The agent / plant production stage, which includes the environmental impact and carbon emissions of the production and transportation process 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-accumulating rice; ② The project implementation stage, including the environmental impact and carbon emissions of the processes such as the application of stabilization agents, deep tillage and mixing of soil, field management of hyperaccumulators and low-accumulating 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 disposal process of stabilized soil and the harvested plant processing process. The boundaries for calculating carbon emissions and environmental impacts of different restoration 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 data set is constructed based on inventory analysis, specifically:

[0073] According to the defined accounting boundary, the surface inventory data comes from field surveys and project-related information, collecting material input data in the production process; the data includes resources, energy consumption, pollutant emissions and pollutant treatment; the background inventory comes from the Life Cycle Inventory (LCI) general database, from which the processes with the most similar geographical origins and technical factors are selected. The inventory data of all unit processes are summarized to obtain the life cycle inventory list of the heavy metal contaminated farmland restoration project, as shown in Tables 1.1, 1.2 and Tables 2.1, 2.2:

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

[0075]

[0076] Table 1.2 Inventory data of the in-situ chemical passivation project of kenaf-alkaline carbon-silicon-based materials in 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 kWh 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 sedum and low-accumulation rice rotation

[0079] Material Name Gross Weight Transport distance Type of transport lime 3000 kg 4 km Truck transport (8t) - diesel Meerschaum 3000 kg 4 km Truck transport (8t) - diesel Compound Fertilizer 900 kg 2.5 km Truck transport (2t) - diesel Urea 80 kg 2.5 km Truck transport (2t) - diesel Sedum sedum 600 kg 15 km Truck transport (2t) - diesel

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

[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 kWh 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 data set 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 data set.

[0083] As a preferred embodiment of the first embodiment, the environmental impact data set 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 data set, 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 can complete supply chain data surveys, database integration, LCA modeling and analysis, and data publishing through the web.

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

[0087] eFootprint modeling process:

[0088] The modeling process of eFootprint is divided into 6 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] Confirm the product to be studied and the main process flow for producing the product. Collect the input and output inventory data from relevant LCA papers, enterprise inventory data, environmental impact assessment reports, project feasibility study reports, industry yearbooks, etc. Collect and organize available data, extract data from the data and convert them into available LCA data. Common data sources, data source acquisition methods, and data selection sources should be: yearbooks, industry reports, standard recommended values, monographs, enterprise reports, emission coefficient manuals, IPCC, foreign databases, etc.

[0091] ②Model establishment:

[0092] Create unit processes and fill in inventory data to build LCA models, such as Figure 4 In the life cycle 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, a new unit process is created with the input / output in the list as the product. Select the corresponding data set in the system database to associate and save, or select the model real scene process data in the drop-down list of the database to find the corresponding model for association. When the list substance meets the Cut-off rule, you can choose to ignore the list substance.

[0098] ⑤Transportation information:

[0099] Fill in the transportation information of the listed substances, such as Figure 8 As shown. Including the starting point and end point, transportation distance, transportation method and gross weight during transportation, etc. The system will directly calculate the environmental impact of the transportation process based on the data in the background database.

[0100] ⑥LCA result calculation and export:

[0101] like Fig. 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 check and evaluation are completed, the LCA report can be exported.

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

[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] Among them, LCIA is 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 technology projects were calculated by eFootprint software modeling (Table 3). The environmental impact of the chemical passivation restoration project is greater than that of the plant enrichment restoration project.

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

[0109]

[0110] Standardized vs. Weighted Assessment:

[0111] In order to compare the relative size of different types of environmental impacts, the characterization results are standardized according to the selected benchmark value. The standardized benchmark value adopts the weighted assessment of the global per capita environmental impact potential in 2000. Different types of environmental impacts have different impacts on ecosystems and human health, so it is necessary to conduct a weighted assessment of different environmental impacts. The weight value adopts the weight coefficient set by Wang Mingxin et al. and conducts a weighted assessment of different environmental impacts. The environmental impact value of the product system after standardization and weighting can be calculated according to formula (2).

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

[0113] Where: EIx is the standardized result of the x-th environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; EF(2000) is the world per capita environmental impact benchmark value in 2000. The standardized and weighted evaluation results are shown in Table 4.

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

[0115]

[0116] The standardized and weighted evaluation results (Table 4) show that the overall environmental impact of chemical passivation projects is higher than that of plant enrichment projects, indicating that plant enrichment projects have better environmental benefits; water resource consumption and eutrophication are the largest types of environmental impacts in farmland soil remediation. The standardized results are the LCA results divided by the benchmark 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 can be found that in the effect evaluation stage, the use of passivators fixed cadmium and lead in the soil, generating carbon income and environmental benefits; the passivation agent preparation stage made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. The five types of environmental impacts were discussed and analyzed in detail, as shown in Table 5.

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

[0120]

[0121] Furthermore, the contribution of the passivation agent preparation stage, project implementation stage and disposal stage to global warming is positive, and the passivation agent production stage accounts for the largest proportion, reaching 99.5%; the process of preparing coconut shell biochar in the passivation agent preparation stage accounts for the main environmental impact in the chemical passivation project, and the transportation process of various raw materials is a secondary environmental impact process. The contribution of the effect evaluation stage to global warming for the five indicators evaluated is negative. Increasing the passivation of soil cadmium and lead can increase environmental benefits and play a role in mitigating 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 need to 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 need to continuously improve heating equipment, improve heating efficiency, and continuously optimize the process technology in the preparation stage and improve equipment efficiency. This can better reduce greenhouse gas emissions during the passivator preparation process. Improving the conversion technology in the preparation stage is the key to energy conservation and emission reduction.

[0123] For the phytoremediation project, it can be found that in the effect evaluation stage, hyperaccumulators fixed cadmium and lead in the soil. At the same time, due to the planting of low-accumulation rice varieties, rice that met the "Food Hygiene Standard" (GB 2715-2016) was harvested, generating carbon income and environmental benefits. The project implementation stage made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. The five types of environmental impacts were discussed and analyzed in detail, 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 can comprehensively evaluate the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data at various stages, including the passivation agent preparation stage, engineering implementation stage, effect evaluation stage, and disposal stage. This staged data collection and analysis enables identification of the specific contribution of each stage to the 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 environmental impact in each stage is obtained.

[0128] Furthermore, by Fig.10It can be concluded that the project implementation stage caused the main environmental impact in the process of plant restoration, while the effect evaluation stage generated environmental benefits and reduced environmental impact. The contribution of the effect evaluation stage to global warming is negative, and the mitigation effect on global warming accounts for 38%. The contributions of the super-enriched plant cultivation stage, the project implementation stage and the disposal stage to global warming are all positive, and the project implementation stage accounts for the largest proportion, reaching 58%; the project implementation contributes the most to acidification, and the acidification potential of this stage accounts for 77% of the total acidification potential. The disposal stage contributes the least to acidification, and the acidification potential of this stage accounts for 2% of the total acidification potential; the effect evaluation stage contributes the most to eutrophication and is negative, which means that this stage generates environmental benefits, and the eutrophication potential of this stage accounts for 58%. The environmental benefits generated in this stage exceed the environmental impacts generated in other stages, making the final result of the eutrophication index of the plant restoration project negative, indicating that the plant project is beneficial to the environment in terms of eutrophication indicators.

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

[0130] Phytoremediation can effectively reduce the pollution of lead-zinc mine waste to the environment through the adsorption, accumulation and stabilization of plants, increase the organic matter content and fertility of the soil, and improve the soil structure and water retention capacity. However, the same phytoremediation project has a long cycle, and the development and growth of plants are controlled by factors such as geography and climate. Most plants can only accumulate one or two metals. To reduce the carbon emissions and other environmental impacts of phytoremediation projects, the first thing is to select suitable hyperaccumulators to repair the soil. During the implementation stage of the project, when managing plants in the field, new organic fertilizers can be used to replace the original compound fertilizers to increase the organic matter content and fertility of the soil, improve the soil structure and water retention capacity, and reduce the environmental impact of fertilizers; the application of organic fertilizers can also increase the soil yield of low-accumulation rice and increase environmental benefits. For the consumption of water resources during the implementation stage of the project, improved water-saving irrigation technologies such as drip irrigation, sprinkler irrigation, and fog irrigation can be used; water-fertilizer integrated irrigation technology can be used to irrigate crops regularly and quantitatively to reduce the consumption of water resources.

[0131] S05: According to the proportions, the impact of each stage on the area to be evaluated is 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 made a higher contribution 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 farmland contaminated by heavy metals. 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 ​​of each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of environmental impact of each stage 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 farmland soil remediation technology cannot be accurately evaluated in the prior art.

[0135] Embodiment 2

[0136] Please refer to Fig.11 , which is an evaluation device for the 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 environmental impact assessment and carbon footprint accounting for the typical farmland heavy metal pollution remediation technology passivation method and plant remediation method. This application selects a soil pollution remediation project of a certain cultivated land polluted by lead and zinc mines in a certain city and county in a certain province, focusing on the full life cycle (LCA) empirical evaluation of the chemical passivation remediation process and the plant remediation process in the project. In this case, a 200-acre core demonstration area for remediation and a 400-acre general demonstration area were established. The thickness of the remediated soil layer was 20cm, and the total remediated soil volume was 80,000m3. 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, the in-situ chemical passivation technology of kenaf-alkaline carbon-silicon-based materials was used to repair heavily polluted farmland for three consecutive years; the phytoremediation technology of sedum-low accumulation rice rotation was used to repair moderately polluted farmland. Through pot experiments and field plot experiments, the passivation agent was screened, and the alkaline carbon-silicon-based materials of coconut shell biochar, quicklime and steel slag were determined as passivation remediation agents in heavily polluted areas. The application amount of the passivation agent was initially set at 2% of the weight of the repair layer soil. The passivation agent was applied in a small amount and multiple times, and the amount of the passivation agent was appropriately adjusted according to the annual soil and plant monitoring results, and it was applied in four times. The passivation agent was evenly spread on the topsoil, and after the farmland contaminated soil and the passivation agent were fully mixed, water was added to 70% of the field water holding capacity. After balancing for 2 weeks, the cultivated kenaf was selected for agricultural planting. After the repair was completed, the reduction rates of 84.0% and 94.5% of the effective Cd and Pb concentrations in the soil reached the project remediation target (reduction of 70%).

[0140] The collection module 10 is used to collect 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 various 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) Determination of objectives and scope. The life cycle assessment objective of this application is to conduct environmental impact assessment and carbon footprint accounting for typical farmland heavy metal pollution remediation technologies, such as passivation and phytoremediation. The functional unit is to repair 20 mu of heavy metal contaminated farmland, so that the concentrations of Cd and Pb in crops meet the standards by 100% and the concentrations of effective Cd and Pb in the soil are reduced by more than 70%. The baseline flow is 2666.67 m3 of repaired 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 phytoremediation of contaminated farmland soil into four stages: ① The agent / plant production stage, which includes the environmental impact and carbon emissions of the production and transportation process 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-accumulating rice; ② The project implementation stage, including the environmental impact and carbon emissions of the processes such as the application of stabilization agents, deep tillage and mixing of soil, field management of hyperaccumulators and low-accumulating 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 disposal process of stabilized soil and the harvested plant processing process. The boundaries for calculating carbon emissions and environmental impacts of different restoration 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 according to the environmental data, and construct an environmental impact data set.

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

[0146] According to the defined accounting boundary, the surface inventory data comes from field surveys and project-related information, collecting material input data in the production process; the data includes resources, energy consumption, pollutant emissions and pollutant treatment; the background inventory comes from the Life Cycle Inventory (LCI) general database, from which the processes with the most similar geographical origins and technical factors are selected. The inventory data of all unit processes are summarized to obtain the life cycle inventory list of the heavy metal contaminated farmland restoration project, as shown in Tables 1.1, 1.2 and Tables 2.1, 2.2:

[0147] Table 1.1 Inventory data of 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 of the in-situ chemical passivation project of kenaf-alkaline carbon-silicon-based materials in 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 kWh 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 sedum and low-accumulation rice rotation

[0153] Material Name Gross Weight Transport distance Type of transport lime 3000 kg 4 km Truck transport (8t) - diesel Meerschaum 3000 kg 4 km Truck transport (8t) - diesel Compound Fertilizer 900 kg 2.5 km Truck transport (2t) - diesel Urea 80 kg 2.5 km Truck transport (2t) - diesel Sedum sedum 600 kg 15 km Truck transport (2t) - diesel

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

[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 kWh 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-output module 30 is used to input the environmental impact data set 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 data set.

[0157] As a preferred embodiment of the second embodiment, the environmental impact data set 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 data set, 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 can complete supply chain data surveys, database integration, LCA modeling and analysis, and data publishing through the web.

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

[0161] eFootprint modeling process:

[0162] The modeling process of eFootprint is divided into 6 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] Confirm the product to be studied and the main process flow for producing the product. Collect the input and output inventory data from relevant LCA papers, enterprise inventory data, environmental impact assessment reports, project feasibility study reports, industry yearbooks, etc. Collect and organize available data, extract data from the data and convert them into available LCA data. Common data sources, data source acquisition methods, and data selection sources should be: yearbooks, industry reports, standard recommended values, monographs, enterprise reports, emission coefficient manuals, IPCC, foreign databases, etc.

[0165] ②Model establishment:

[0166] Create unit processes and fill in inventory data to build LCA models, such as Figure 4 In the life cycle 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, a new unit process is created with the input / output in the list as the product. Select the corresponding data set in the system database to associate and save, or select the model real scene process data in the drop-down list of the database to find the corresponding model for association. When the list substance meets the Cut-off rule, you can choose to ignore the list substance.

[0172] ⑤Transportation information:

[0173] Fill in the transportation information of the listed substances, such as Figure 8 As shown. Including the starting point and end point, transportation distance, transportation method and gross weight during transportation, etc. The system will directly calculate the environmental impact of the transportation process based on the data in the background database.

[0174] ⑥LCA result calculation and export:

[0175] like Fig. 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 check and evaluation are completed, the LCA report can be exported.

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

[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] Among them, LCIA is 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 technology projects were calculated by eFootprint software modeling (Table 3). The environmental impact of the chemical passivation restoration project is greater than that of the plant enrichment restoration project.

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

[0183]

[0184] Standardized vs. Weighted Assessment:

[0185] In order to compare the relative size of different types of environmental impacts, the characterization results are standardized according to the selected benchmark value. The standardized benchmark value adopts the weighted assessment of the global per capita environmental impact potential in 2000. Different types of environmental impacts have different impacts on ecosystems and human health, so it is necessary to conduct a weighted assessment of different environmental impacts. The weight value adopts the weight coefficient set by Wang Mingxin et al. and conducts a weighted assessment of different environmental impacts. The environmental impact value of the product system after standardization and weighting can be calculated according to formula (2).

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

[0187] Where: EIx is the standardized result of the x-th environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; EF(2000) is the world per capita environmental impact benchmark value in 2000. The standardized and weighted evaluation results are shown in Table 4.

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

[0189]

[0190] The standardized and weighted evaluation results (Table 4) show that the overall environmental impact of chemical passivation projects is higher than that of plant enrichment projects, indicating that plant enrichment projects have better environmental benefits; water resource consumption and eutrophication are the largest types of environmental impacts in farmland soil remediation. The standardized results are the LCA results divided by the benchmark 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 can be found that in the effect evaluation stage, the use of passivators fixed cadmium and lead in the soil, generating carbon income and environmental benefits; the passivation agent preparation stage made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. The five types of environmental impacts were discussed and analyzed in detail, as shown in Table 5.

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

[0194]

[0195] Furthermore, the contribution of the passivation agent preparation stage, project implementation stage and disposal stage to global warming is positive, and the passivation agent production stage accounts for the largest proportion, reaching 99.5%; the process of preparing coconut shell biochar in the passivation agent preparation stage accounts for the main environmental impact in the chemical passivation project, and the transportation process of various raw materials is a secondary environmental impact process. The contribution of the effect evaluation stage to global warming for the five indicators evaluated is negative. Increasing the passivation of soil cadmium and lead can increase environmental benefits and play a role in mitigating 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 need to 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 need to continuously improve heating equipment, improve heating efficiency, and continuously optimize the process technology in the preparation stage and improve equipment efficiency. This can better reduce greenhouse gas emissions during the passivator preparation process. Improving the conversion technology in the preparation stage is the key to energy conservation and emission reduction.

[0197] For the phytoremediation project, it can be found that in the effect evaluation stage, hyperaccumulators fixed cadmium and lead in the soil. At the same time, due to the planting of low-accumulation rice varieties, rice that met the "Food Hygiene Standard" (GB 2715-2016) was harvested, generating carbon income and environmental benefits. The project implementation stage made the greatest contribution to global warming potential, primary energy consumption, water resource consumption, acidification and eutrophication potential. The five types of environmental impacts were discussed and analyzed in detail, 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 can comprehensively evaluate the environmental impact of soil remediation technology at different stages by collecting and analyzing environmental data at various stages, including the passivation agent preparation stage, engineering implementation stage, effect evaluation stage, and disposal stage. This staged data collection and analysis enables identification of the specific contribution of each stage to the environmental impact, thereby providing targeted improvement measures for optimizing the remediation process.

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

[0202] Furthermore, by Fig.10It can be concluded that the project implementation stage caused the main environmental impact in the process of plant restoration, while the effect evaluation stage generated environmental benefits and reduced environmental impact. The contribution of the effect evaluation stage to global warming is negative, and the mitigation effect on global warming accounts for 38%. The contributions of the super-enriched plant cultivation stage, the project implementation stage and the disposal stage to global warming are all positive, and the project implementation stage accounts for the largest proportion, reaching 58%; the project implementation contributes the most to acidification, and the acidification potential of this stage accounts for 77% of the total acidification potential. The disposal stage contributes the least to acidification, and the acidification potential of this stage accounts for 2% of the total acidification potential; the effect evaluation stage contributes the most to eutrophication and is negative, which means that this stage generates environmental benefits, and the eutrophication potential of this stage accounts for 58%. The environmental benefits generated in this stage exceed the environmental impacts generated in other stages, making the final result of the eutrophication index of the plant restoration project negative, indicating that the plant project is beneficial to the environment in terms of eutrophication indicators.

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

[0204] Phytoremediation can effectively reduce the pollution of lead-zinc mine waste to the environment through the adsorption, accumulation and stabilization of plants, increase the organic matter content and fertility of the soil, and improve the soil structure and water retention capacity. However, the same phytoremediation project has a long cycle, and the development and growth of plants are controlled by factors such as geography and climate. Most plants can only accumulate one or two metals. To reduce the carbon emissions and other environmental impacts of phytoremediation projects, the first thing is to select suitable hyperaccumulators to repair the soil. During the implementation stage of the project, when managing plants in the field, new organic fertilizers can be used to replace the original compound fertilizers to increase the organic matter content and fertility of the soil, improve the soil structure and water retention capacity, and reduce the environmental impact of fertilizers; the application of organic fertilizers can also increase the soil yield of low-accumulation rice and increase environmental benefits. For the consumption of water resources during the implementation stage of the project, improved water-saving irrigation technologies such as drip irrigation, sprinkler irrigation, and fog irrigation can be used; water-fertilizer integrated irrigation technology can be used to irrigate crops regularly and quantitatively to reduce the consumption of water resources.

[0205] The evaluation module 40 is further used to evaluate the impact of each stage on the area to be evaluated according to the proportion.

[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 made a higher contribution 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 restoration 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 ​​of each stage. By analyzing these indicator data and carbon footprint values, the specific proportion of environmental impact of each stage 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 farmland soil remediation technology cannot be accurately evaluated in the prior art.

[0209] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for evaluating farmland soil remediation technology, characterized in that: include: Environmental data is collected from the preset farmland; wherein the environmental data includes environmental data of each stage; the various stages are obtained by dividing the whole life cycle process according to the farmland soil remediation technology to be evaluated; According to the environmental data, the inventory data of the farmland soil remediation technology is collected to construct an environmental impact data set; Inputting the environmental impact data set 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 data set; According to the environmental impact type indicator data and carbon footprint value, the proportion of environmental impact in each stage is obtained; According to the proportions, the impact of each stage on the area to be evaluated is evaluated.

2. The method for evaluating farmland soil remediation technology according to claim 1, 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: In the formula, 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 environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; 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 type indicator data for each stage include global warming potential value, primary energy consumption value, water resource consumption value, acidification value and eutrophication potential value.

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; the various stages are obtained by dividing the whole 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 according to the environmental data, and construct an environmental impact data set; The input and output module is used to input the environmental impact data set 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 data set; The evaluation module is used to obtain the proportion of environmental impact in each stage according to the environmental impact type indicator data and the carbon footprint value; According to the proportions, the impact of each stage on the area to be evaluated 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: In the formula, 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 environmental impact potential value, Wx is the weight of the x-th potential environmental impact; EP(x) is the x-th potential environmental impact potential of the product system; 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 type indicator data for each stage include global warming potential value, primary energy consumption value, water resource consumption value, acidification value and eutrophication potential value.

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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