Sewage treatment technology comprehensive evaluation method and system based on LCA-AHP-MCS coupling model

Abstract

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment technology comprehensive evaluation method and system based on an LCA-AHP-MCS coupling model.The method comprises the following steps that all links of the sewage treatment technology and resource consumption data of the links are obtained, and the influence of the whole life cycle of the sewage treatment technology on the environment is calculated; based on the LCA analysis result, constructing a hierarchical structure model of the sewage treatment technology, calculating the weight of each process and index, and sorting the weights to obtain an AHP evaluation result; based on the LCA analysis result and the AHP evaluation result, an MCS sensitivity analysis model is constructed, linear regression calculation is introduced, an MCS evaluation result is obtained, and the sensitivity and robustness of the MCS evaluation result are evaluated; and carrying out correlation calculation on an LCA analysis result, an AHP evaluation result and an MCS evaluation result, carrying out comprehensive evaluation on the sewage treatment technology, and giving optimization suggestions. The problems that existing LCA is poor in interpretability and insufficient in evaluation are solved, the modeling difficulty of similar products can be reduced, and the modeling time is shortened.

Description

TECHNICAL FIELD

[0001] The present application relates to the sewage treatment technical field, and in particular to a sewage treatment technology comprehensive evaluation method and system based on a LCA-AHP-MCS coupling model. BACKGROUND

[0002] Water is essential for development, and sewage treatment is essential for managing pollution and ensuring sustainability under the influence of the biogeochemical cycle. China's urban sewage treatment plant sewage discharge standards are becoming more and more perfect, and the effluent quality of most city sewage treatment plants is generally good, and the concentration of pollutants in the effluent basically meets the first A emission standard, and the effluent quality of some cities is even better than the requirements of the Surface Water Environmental Quality Standard (GB3838-2002) for surface water Class IV water quality, which provides a solid foundation for promoting the development of sewage reuse, but behind the great improvement of effluent quality, there is a great improvement in treatment cost and environmental negative impact, if the causes cannot be effectively analyzed and improved, it will cause serious environmental and social impact. It is difficult to evaluate the overall impact of sewage treatment plants on the environment through conventional detection means, so it is necessary to use a start-to-end environmental assessment tool to analyze the impact of sewage treatment on the environment. SUMMARY

[0003] The embodiment of the present application provides a sewage treatment technology comprehensive evaluation method and system based on a LCA-AHP-MCS coupling model, which solves the problems of poor interpretability and insufficient evaluation of existing life cycle assessment (LCA), can reduce the difficulty of modeling for similar products, and reduce the modeling time.

[0004] To solve the above technical problems, in a first aspect, the embodiment of the present application provides a sewage treatment technology comprehensive evaluation method based on a LCA-AHP-MCS coupling model, comprising the following steps: first, obtaining the resource consumption data of each link of the sewage treatment technology and calculating the impact of the sewage treatment technology on the environment throughout the life cycle to obtain LCA analysis results; then, based on the LCA analysis results, constructing a hierarchical structure model of the sewage treatment technology, calculating the weight and sorting of each process and index to obtain an analytic hierarchy process (AHP) evaluation result; next, based on the LCA analysis results and the AHP evaluation result, constructing a Monte Carlo simulation (MCS) sensitivity analysis model and introducing linear regression calculation to obtain an MCS evaluation result, and evaluating the sensitivity and robustness of the MCS evaluation result; finally, correlating the LCA analysis results, the AHP evaluation result and the MCS evaluation result, comprehensively evaluating the sewage treatment technology and giving optimization suggestions.

[0005] In some example embodiments, the various links of sewage treatment technology and resource consumption data thereof are acquired, including: first, the target and scope of LCA are acquired, the evaluation purpose, system boundary and functional unit are determined, and the LCA model represented in the sewage treatment technology is obtained; then, according to field investigation and literature retrieval, the input flow data and output flow data of the unit process of the sewage treatment technology are acquired, and a system inventory is constructed.

[0006] In some example embodiments, the input flow data includes raw materials used by the unit process of the sewage treatment technology; the output flow data includes energy consumption, types and quantities of emissions; wherein the energy consumption includes electricity, heat energy and fuel; the emissions include wastewater, exhaust gas and sludge; the system inventory is constructed, including: according to the results of field investigation and literature retrieval, the data is sorted into a process inventory, a material inventory and an energy flow inventory in the sewage treatment process; the process inventory includes all sewage treatment processes and unit operations; the material inventory includes all chemicals, additives and other consumable materials; the energy flow inventory includes electricity consumption, heat energy use, fuel input and output and its consumption amount.

[0007] In some example embodiments, the environmental impact of the sewage treatment technology full life cycle is calculated to obtain LCA analysis results, including: the data is evaluated, standardized and endpoint environmental impact analyzed by using an LCA built-in database, carbon emission factor coefficients are acquired, and the environmental impact characteristic index values of material flow input and material flow output of each stage of the sewage treatment technology are obtained.

[0008] In some example embodiments, based on the LCA analysis results, a hierarchical structure model of the sewage treatment technology is constructed, including: based on the LCA analysis results, the indexes and process environmental impact potential affecting the sewage treatment technology are determined, and the hierarchical structure model of the sewage treatment technology is constructed; the hierarchical structure model includes a top target layer, a plurality of intermediate layers and a bottom scheme layer.

[0009] In some example embodiments, after the hierarchical structure model of the sewage treatment technology is constructed, and before the weights of each process and index are calculated and sorted, it further includes: according to expert opinions and situation analysis, in the order from low level to high level, a judgment matrix is constructed by using a 1-9 scale method to compare the results; the judgment matrix is as follows: A=(a ij )n×n Wherein, A is the judgment matrix; a ij represents the ratio of the importance of i element to j element; i=1,2,3…n; j=1,2,3…n; a ji =1 / a ij ; when i=j, a ij =1.

[0010] In some example embodiments, the weight of each process and index is calculated and ranked, including: constructing a comparison matrix for comparing each element of the upper layer and the lower layer; assigning weight to the element of the next layer according to the comparison result, and repeating the process; calculating the weight value of each influencing factor of the bottom layer relative to the total target and ranking, and performing top-down hierarchical total ranking and weight calculation, ranking the weight of the sewage treatment technology and each index, and performing consistency test on the final result.

[0011] In some example embodiments, the consistency of the final result is tested by using a test formula for consistency test, and the calculation formula is as follows: CR = [(λ max - n) / (n-1) ] / RI Wherein, CR represents the consistency ratio; λ max represents the maximum eigenvalue of the comparison matrix, and RI represents the average random consistency index of the judgment matrix; when CR < 0.1, it indicates that the judgment matrix meets the consistency requirement, and when CR ≥ 0.1, it indicates that the judgment matrix needs to be modified to meet the consistency.

[0012] In some example embodiments, when the MCS sensitivity analysis model is used to evaluate the influence of input variables on the environmental impact results of life cycle assessment, the prediction variables and determination variables are selected, and the number of experiments is set, and the multiple R value and R 2 value of the MCS sensitivity analysis model are ensured to ensure the credibility and stability of the simulation; wherein, the input variables are the indexes of each link of the sewage treatment technology and the resource consumption data and the LCA evaluation results; the determination variable is the key index in the system inventory data set, and the prediction variable is the index with greater environmental impact contribution in the LCA evaluation result; according to the selected index, the number of experiments is set, and the multiple R value and R 2 value of the analysis model are analyzed to ensure the credibility and stability of the simulation.

[0013] Secondly, this application also provides a comprehensive evaluation system for wastewater treatment technologies based on an LCA-AHP-MCS coupled model. This system is used to implement the comprehensive evaluation method for wastewater treatment technologies based on the LCA-AHP-MCS coupled model described in the above embodiments. The system includes: an environmental impact contribution calculation module, a structured decision module, a sensitivity analysis module, and a comprehensive evaluation module connected sequentially. The environmental impact contribution calculation module is used to acquire data on each stage of wastewater treatment technology and its resource consumption, calculate the environmental impact of the wastewater treatment technology throughout its entire life cycle, and obtain LCA analysis results. The structured decision module is used to construct a hierarchical model of wastewater treatment technologies based on the LCA analysis results, calculate and rank the weights of each process and indicator, and obtain AHP evaluation results. The sensitivity analysis module is used to construct an MCS sensitivity analysis model based on the LCA analysis results and AHP evaluation results, introduce linear regression calculations, obtain MCS evaluation results, and assess the sensitivity and robustness of the MCS evaluation results. The comprehensive evaluation module is used to perform correlation calculations on the LCA analysis results, AHP evaluation results, and MCS evaluation results, comprehensively evaluate the wastewater treatment technologies, and provide optimization suggestions.

[0014] The technical solution provided in this application has at least the following advantages: This application provides a comprehensive evaluation method and system for wastewater treatment technologies based on an LCA-AHP-MCS coupled model. The method includes the following steps: First, acquiring data on each stage of wastewater treatment technology and its resource consumption, calculating the environmental impact of the wastewater treatment technology throughout its entire life cycle, and obtaining LCA analysis results; then, based on the LCA analysis results, constructing a hierarchical structure model of wastewater treatment technologies, calculating and ranking the weights of each process and indicator, and obtaining AHP evaluation results; next, based on the LCA analysis results and AHP evaluation results, constructing an MCS sensitivity analysis model and introducing linear regression calculations to obtain MCS evaluation results, and assessing the sensitivity and robustness of the MCS evaluation results; finally, performing correlation calculations on the LCA analysis results, AHP evaluation results, and MCS evaluation results, comprehensively evaluating the wastewater treatment technologies, and providing optimization suggestions.

[0015] The sewage treatment technology comprehensive evaluation method and system based on the LCA-AHP-MCS coupling model provided in the application can effectively measure the environmental impact and carbon emissions generated in the operation process of the sewage treatment technology, is not only suitable for small samples, but also solves the problems of poor interpretability and limited evaluation dimensions of the traditional LCA method by combining AHP and MCS, realizes comprehensive analysis of multi-dimensions such as environmental impact and energy consumption of the sewage treatment technology, and improves the reliability and accuracy of the evaluation results; the general evaluation framework is introduced, which significantly reduces the modeling complexity and time cost. By integrating LCA, AHP and MCS, the data processing and analysis process is optimized, and the technical evaluation efficiency is improved; the MCS method is used for sensitivity analysis of key variables, which can accurately reveal the effect of uncertain factors in the sewage treatment technology on the environmental impact, and provide more forward-looking reference for decision-making; the method has strong adaptability and can be widely applied to multiple scenes such as technology selection, process optimization and policy making, and supports comparative analysis between different technical schemes, and provides a scientific basis for decision-making. By combining LCA, AHP and MCS, a comprehensive decision support system is constructed, the objectivity and scientificity of the evaluation results are ensured, human bias is reduced, and the selection and improvement of the technology are optimized. BRIEF DESCRIPTION OF DRAWINGS One or more embodiments are illustrated by way of example in the accompanying drawings that are not intended to be limiting of the embodiments so far as is not otherwise specifically recited in the present disclosure, the drawings showing:

[0016] Figure 1 A structural schematic diagram of the sewage treatment technology comprehensive evaluation method and system based on the LCA-AHP-MCS coupling model provided in the embodiments of the application is provided.

[0017] Figure 2 A framework schematic diagram of the sewage treatment technology comprehensive evaluation system based on the LCA-AHP-MCS coupling model provided in the embodiments of the application is provided.

[0018] Figure 3 A system boundary period evaluation diagram of the sewage treatment process of the urban wastewater containing estrogen provided in the embodiments of the application is provided.

[0019] Figure 4 An LCA evaluation result schematic diagram of the sewage treatment process of the urban wastewater containing estrogen provided in the embodiments of the application is provided.

[0020] Figure 5 An LCA evaluation result AHP model structure diagram of the sewage treatment process of the urban wastewater containing estrogen provided in the embodiments of the application is provided.

[0021] Figure 6The MCS model result graph of the LCA evaluation result of the sewage treatment process of the urban wastewater containing estrogen provided by the embodiment of the application. DETAILED DESCRIPTION

[0022] As can be known from the background art, it is difficult to evaluate the overall impact of a sewage treatment plant on the environment through conventional detection means.

[0023] Life cycle assessment (LCA) is an environmental evaluation and management method that can provide a thorough, comprehensive and comprehensive evaluation of resource consumption and environmental impact of the entire process of the activity it is engaged in. In life cycle assessment, environmental impact is evaluated from the extraction of raw materials of a product or process to the final disposal of the materials (i.e. from cradle to grave). However, LCA is a data-intensive and time-consuming method that requires the collection and processing of a large amount of data, including material and energy flow, environmental emissions, environmental impact type indicators, etc. However, when performing LCA evaluation on sewage treatment technology, there is often a lack of key process data, and the quality, completeness, reliability, representativeness and consistency of these data will affect the accuracy and reliability of the LCA results, making it impossible to provide evaluation or selection of technology for the government or consumers.

[0024] Analytic hierarchy process (AHP) is a multi-criteria decision-making method that can decompose complex problems into multiple levels by constructing a judgment matrix, and help to deal with uncertainty, subjectivity and multi-objectivity by calculating the weights between levels. AHP is widely used in combination with LCA to achieve more comprehensive evaluation of sewage treatment technology and other objects. Although the LCA-AHP coupling method has shown its potential and advantages in many fields, the research in the application scenarios of sewage treatment technology screening and multi-angle evaluation is still insufficient, and the combination of these methods may complicate the decision-making process, so that the technology that performs well in life cycle assessment may have a lower score in AHP due to improper weight allocation. This inconsistency makes it difficult for decision-makers to draw clear conclusions.

[0025] Monte Carlo simulation (MCS) method has been widely used in sensitivity analysis calculation due to its inherent interpretability and visualization capability. By using MCS, the variation of key input data is considered, which helps the evaluator to understand the degree of influence of various factors on the results, thereby improving the accuracy and reliability of LCA and providing a solid scientific basis for decision-making.

[0026] There are few studies on the coupling of AHP, MCS and LCA in the prior art to comprehensively evaluate sewage treatment technology, and most of them use a single method to screen the technology, which increases the model construction time, and the evaluation results obtained do not consider sufficient scope and are not comparable, and cannot effectively provide sewage treatment technology selection suggestions for the government or consumers.

[0027] To solve the problems in the prior art, the embodiment of the present application provides a sewage treatment technology comprehensive evaluation method and system based on an LCA-AHP-MCS coupling model, which solves the problems of poor interpretability and insufficient evaluation of the existing LCA, can reduce the difficulty of modeling for similar products, and reduce the modeling time. The method comprises the following steps: first, obtaining each link of the sewage treatment technology and resource consumption data thereof, calculating the impact of the sewage treatment technology on the environment in the whole life cycle to obtain LCA analysis results; then, based on the LCA analysis results, constructing a hierarchical structure model of the sewage treatment technology, calculating the weight and sorting of each process and index to obtain an analytic hierarchy process (AHP) evaluation result; next, based on the LCA analysis results and the AHP evaluation result, constructing a Monte Carlo simulation (MCS) sensitivity analysis model and introducing linear regression calculation to obtain an MCS evaluation result, and evaluating the sensitivity and robustness of the MCS evaluation result; finally, performing correlation calculation on the LCA analysis results, the AHP evaluation result and the MCS evaluation result, comprehensively evaluating the sewage treatment technology and giving optimization suggestions.

[0028] The embodiments of the present application will be described in detail below with reference to the accompanying drawings. However, those skilled in the art can understand that in the embodiments of the present application, many technical details are proposed in order to make the reader better understand the present application. However, the technical solutions claimed by the present application can be implemented even without these technical details and various changes and modifications based on the following embodiments.

[0029] Referring to Figure 1 The embodiment of the present application provides a sewage treatment technology comprehensive evaluation method based on an LCA-AHP-MCS coupling model, which comprises the following steps: Step S101, obtaining each link of the sewage treatment technology and resource consumption data thereof, calculating the impact of the sewage treatment technology on the environment in the whole life cycle to obtain LCA analysis results.

[0030] Step S102, based on the LCA analysis results, constructing a hierarchical structure model of the sewage treatment technology, calculating the weight and sorting of each process and index to obtain an AHP evaluation result.

[0031] Step S103, based on the LCA analysis results and the AHP evaluation result, constructing a MCS sensitivity analysis model and introducing linear regression calculation to obtain an MCS evaluation result, and evaluating the sensitivity and robustness of the MCS evaluation result.

[0032] Step S104, performing correlation calculation on the LCA analysis results, the AHP evaluation result and the MCS evaluation result, comprehensively evaluating the sewage treatment technology and giving optimization suggestions.

[0033] The application provides a method for evaluating the life cycle assessment (LCA) of sewage treatment technology. The method comprises the following steps: collecting an LCA model representing sewage treatment technology; determining inventory dataset and exploratory dataset of process, material and energy flow in the LCA model of sewage treatment technology, and exploring the relationship between the exploratory dataset and LCA results, and measuring carbon emissions at each stage. The method is used for realizing comprehensive evaluation of wastewater treatment technology. By combining the three methods, the environment, technology, economy and uncertainty of wastewater treatment technology can be systematically and comprehensively evaluated, and technical selection suggestions and optimization methods can be provided.

[0034] In some embodiments, the resource consumption data of each link of the sewage treatment technology is obtained in step S101, including: In step S1011, the target and scope of LCA are obtained, the evaluation purpose, system boundary and functional unit are determined, and the LCA model representing the sewage treatment technology is obtained.

[0035] In step S1012, the input flow data and output flow data of the unit process of the sewage treatment technology are obtained according to field investigation and literature retrieval, and the system inventory is constructed.

[0036] Specifically, the LCA model representing the commonly used municipal sewage treatment technology is obtained in step S1011, the evaluation results are used for process optimization, technical selection or policy making, the sewage treatment technologies to be compared are determined, and the key environmental impact indicators (energy consumption, carbon emission, eutrophication, ecological toxicity, etc.) are selected.

[0037] In some embodiments, the input flow data in step S1012 includes raw materials used by the unit process of the sewage treatment technology; the output flow data includes energy consumption, types and quantities of emissions; wherein the energy consumption includes electricity, heat and fuel; and the emissions include wastewater, exhaust gas and sludge.

[0038] Specifically, the system inventory is constructed in step S1012, including: according to the results of field investigation and literature retrieval, the data is sorted into process inventory, material inventory and energy flow inventory in the sewage treatment process; the process inventory includes all sewage treatment processes and unit operations; the material inventory includes all chemicals, additives and other consumed materials; and the energy flow inventory includes electricity consumption, heat usage, fuel input and output and consumption.

[0039] In some embodiments, the step S101 of calculating the impact of the sewage treatment technology on the environment in the whole life cycle to obtain the LCA analysis result includes: using the built-in database of LCA to evaluate the data, standardize and perform end-point environmental impact analysis to obtain carbon emission factor coefficients, and derive the environmental impact characteristic index values of material flow input and material flow output of each stage of the sewage treatment technology.

[0040] Specifically, there are two commonly used characteristic evaluation methods, "critical target distance method" and "environmental problem equivalent factor method". The former is biased towards the impact consequences, and uses the distance between the current level and the target level of a certain environmental effect to represent the severity of a certain environmental effect. The latter is a method of establishing a dose-effect relationship model to convert life cycle inventory analysis data into corresponding environmental impact, that is, to study the equivalent factors of different impact types, and focuses on environmental impact factors and impact mechanisms, and preliminarily screens out sewage treatment technologies with low environmental impact.

[0041] In some embodiments, the step S102 of constructing a hierarchical structure model of the sewage treatment technology based on the LCA analysis result includes: determining the indexes and process environmental impact potential of the sewage treatment technology based on the LCA analysis result, and constructing a hierarchical structure model of the sewage treatment technology; the hierarchical structure model includes a top target layer, a plurality of intermediate layers, and a bottom scheme layer.

[0042] Specifically, based on the research and analysis results of LCA, the indexes and process environmental impact potential of the sewage treatment technology are determined, and through the determined sewage treatment process, the hierarchical structure model including the top target layer, a plurality of intermediate layers (criterion layers), and the bottom scheme layer is constructed according to the correlation between each other, so as to determine the membership relationship of each level related factor.

[0043] In some embodiments, after the step S102 of constructing the hierarchical structure model of the sewage treatment technology, and before the step of calculating the weight and sorting of each process and index, the method further includes: according to expert opinions and situation analysis, in the order from low level to high level, a judgment matrix is constructed by using the 1-9 scale method to compare the results; the judgment matrix is as follows: A=(a ij )n×n Wherein, A is the judgment matrix; a ij represents the ratio of the importance of i element and j element; i=1, 2, 3…n; j=1, 2, 3…n; a ji =1 / a ij ; when i=j, a ij =1. The scale principle is shown in Table 1 below.

[0044] Table 11-9 Scale method relative importance scale principle

[0045] In step S102 of constructing the hierarchical model of wastewater treatment technology, the research problem and scope are defined, the decision hierarchy is constructed from a macro perspective, including the intermediate layer (the standard depends on subsequent factors) and the lowest layer (a set of alternative solutions).

[0046] In some embodiments, the weights of each process and indicator are calculated and sorted in step S102, including: Step S1021, a comparison matrix is constructed for comparing each element of the upper and lower layers.

[0047] Step S1022, the weights of the elements of the next layer are assigned according to the comparison results, and the process is repeated.

[0048] Step S1023, the weight values of each influencing factor of the bottom layer relative to the total target are calculated and sorted, and a top-down hierarchical total sorting and weight calculation is performed, the weights of the wastewater treatment technology and each indicator are sorted, and the consistency of the final result is verified.

[0049] In some embodiments, the consistency of the final result is verified by using a consistency verification formula in step S1023, and the calculation formula is as follows: CR = [ (λ max - n) / (n-1) ] / RI Where CR (Consistency Ratio) represents the consistency ratio; λ max max represents the maximum eigenvalue of the comparison matrix, and RI (Random Average Index) represents the average random consistency index of the judgment matrix, see Table 2; when CR < 0.1, it indicates that the judgment matrix meets the consistency requirement, and when CR ≥ 0.1, it indicates that the judgment matrix needs to be modified to achieve consistency.

[0050] Table 2 Average random consistency index

[0051] Based on the LCA-AHP evaluation results, a Monte Carlo simulation sensitivity analysis model is constructed and linear regression is introduced to analyze the sensitivity of the life cycle assessment environmental impact results. In some embodiments, when the MCS sensitivity analysis model is used to evaluate the influence of input variables on the life cycle assessment environmental impact results in step S103, the prediction variables and the determined variables are selected, and the number of experiments is set, and the multiple R value and R 2The input variables are the indexes of each link of the sewage treatment technology and the resource consumption data and the LCA evaluation results; the determined variables are the key indexes in the system inventory data set; and the predicted variables are the indexes with greater environmental impact contribution in the LCA evaluation results. According to the selected indexes, the appropriate number of experiments is set, usually 1000-10000 times, and the multiple R values and R 2 values are analyzed to ensure the reliability and stability of the simulation. Linear regression calculation is introduced to calculate the relationship between the determined variables and the predicted variables, and the evaluation of the life cycle inventory and the environmental impact input values is analyzed to give optimization suggestions at the same time.

[0052] In summary, the sewage treatment technology comprehensive evaluation method based on the LCA-AHP-MCS coupled model provided in the application first uses LCA to define the system boundary and functional unit, collects and quantifies the inventory data and multi-dimensional environmental impacts (such as carbon emissions, eutrophication, ecological toxicity, human health toxicity, etc.) in the whole life cycle of the sewage treatment technology; then, AHP is used to integrate the LCA results and key indexes such as technical performance and economic benefits, to build a multi-level evaluation model containing a target layer, a criterion layer and an index layer, to determine the weights of each factor by expert scoring, pairwise comparison to construct a judgment matrix and consistency test, to realize comprehensive ranking and decision support under multiple standards; finally, MCS is applied to analyze the sensitivity of the uncertainty of the LCA inventory data and the model parameters, to evaluate the influence degree and robustness of the fluctuation of the input variables on the final environmental impact evaluation results through a large number of random sampling, and to identify the key influencing variables. Through the organic coupling of LCA, AHP and MCS, the application overcomes the limitations of single evaluation method, provides a systematic, multi-dimensional, highly interpretable and efficient comprehensive evaluation framework for sewage treatment technology, not only can effectively quantify the environmental impact, but also can integrate technical and economic factors for comprehensive evaluation, significantly improves the accuracy, reliability and decision support capability of the evaluation results, at the same time reduces the threshold and time cost of evaluation application, and is suitable for sewage treatment technology selection, process optimization and policy making scenes.

[0053] The embodiment of the application further provides a sewage treatment technology comprehensive evaluation system based on an LCA-AHP-MCS coupling model, which is used for realizing the sewage treatment technology comprehensive evaluation method based on the LCA-AHP-MCS coupling model in the above embodiment, and comprises an environmental impact contribution calculation module, a structured decision module, a sensitivity analysis module and a comprehensive evaluation module connected in sequence; wherein the environmental impact contribution calculation module is used for obtaining each link of the sewage treatment technology and resource consumption data thereof, calculating the impact of the sewage treatment technology on the environment in the whole life cycle, and obtaining LCA analysis results; the structured decision module is used for constructing a hierarchical structure model of the sewage treatment technology according to the LCA analysis results, calculating the weight and sorting of each process and index, and obtaining AHP evaluation results; the sensitivity analysis module is used for constructing an MCS sensitivity analysis model according to the LCA analysis results and the AHP evaluation results, introducing linear regression calculation, obtaining MCS evaluation results, and evaluating the sensitivity and robustness of the MCS evaluation results; and the comprehensive evaluation module is used for correlating calculation of the LCA analysis results, the AHP evaluation results and the MCS evaluation results, comprehensive evaluation of the sewage treatment technology and giving optimization suggestions.

[0054] Based on the whole life cycle theory, by using the LCA combined with the AHP and the MCS model, the application establishes a sewage treatment technology comprehensive selection theoretical framework as shown in Figure 2 According to the technical framework of the existing sewage treatment plant research range, the related data in the operation process of the sewage treatment technology are collected, detected and summarized, various environmental impacts are classified, characterized and standardized from the perspective of the life cycle, and the resource and energy consumption of the sewage treatment technology in the operation stage are evaluated to evaluate the environmental impact.

[0055] As shown in Figure 2 The environmental impact contribution calculation module (LCA environmental impact evaluation module) is used for obtaining the material consumption level, the energy use activity level and the energy consumption intensity of the sewage treatment technology, calculating the contribution of the environmental impact indicators of the sewage treatment technology in the whole life cycle; the structured decision module (AHP multi-objective evaluation module) is combined with the technical and economic performance indicators, develops a corresponding AHP model, is used for assigning weights to each technology according to the calculation data and other related standards, generates overall environmental performance scores, and converts the complex LCA data into scores easy to compare; and the sensitivity analysis module (MCS sensitivity evaluation) inputs variables by random sampling, and applies the MCS to evaluate the sensitivity and robustness of the LCA results.

[0056] On the basis of environmental impact assessment of each stage of wastewater treatment technology, the AHP model is used to introduce environmental impact, technical performance and economic performance as macro factors for evaluating the comprehensive performance of wastewater treatment technology. The weight ranking generated by the AHP model helps decision makers balance environmental, technical and economic factors when selecting treatment processes, simplifies the analysis process, assigns weights to each technology, and generates overall environmental performance scores.

[0057] Combined with the environmental impact assessment results of each stage of wastewater treatment technology and the inventory data, the MCS model is used for sensitivity analysis and linear regression calculation to evaluate the influence of various input parameters on the life cycle assessment environmental impact results and identify key factors, providing a more comprehensive risk assessment while giving parameter optimization suggestions.

[0058] As can be seen from the above model, the environmental impact generated in the operation stage of wastewater treatment technology is related to the input and output data of the LCA system inventory. Therefore, as shown in the LCA and MCS models, Figure 2 The technical performance, economic benefit, etc. of wastewater treatment technology will affect the low-carbon efficiency of wastewater treatment technology as macro factors, and will be considered in the comprehensive and performance evaluation of wastewater treatment technology. Among them, the technical performance affects the popularity of wastewater treatment technology from the demand side, and has a direct impact on the environmental impact and carbon emissions in the operation stage. Economic benefits affect the upgrading of energy and resource consumption structure. Optimization of wastewater treatment technology parameters helps to reduce the environmental impact and carbon emissions generated in the process of urban wastewater treatment, thereby achieving emission reduction and carbon reduction in the operation stage.

[0059] The following will introduce the wastewater treatment technology comprehensive evaluation method and system based on LCA-AHP-MCS coupling model provided by the present application through specific examples.

[0060] The wastewater treatment technology comprehensive evaluation method based on LCA-AHP-MCS coupling model provided by the present application comprises the following steps: Step one: obtain the input flow data and output flow data of the unit process of wastewater treatment technology, construct the system inventory, and perform environmental impact classification, characterization and standardized evaluation of the whole life cycle of wastewater treatment technology. The specific calculation formula of the standardized weighted assessment of potential value of environmental impact is as follows: (1) In the above formula, WP(j) is the potential value of j kinds of environmental impact, WF(j) is the weight factor of j kinds of environmental impact, and NP(j) is the standardized impact potential value.

[0061] Step two: According to the calculated characteristic standardization indexes of each environmental impact indicator, the mutual comparison of each sewage treatment technology is carried out, and the sewage treatment technology with low environmental impact is screened out.

[0062] Step three: According to the environmental impact evaluation result of the sewage treatment technology, the AHP model of the sewage treatment technology is constructed combined with the technical performance, economic benefit and other indexes, the weight of each index is calculated, and the comprehensive evaluation and index comparison of each sewage treatment technology are carried out.

[0063] Step four: According to the calculated characteristic standardization index results of each environmental impact indicator and system list data, the influence of various input parameters on the life cycle assessment environmental impact result is evaluated by using the MCS sensitivity analysis method, and the key factors and sensitivity analysis are identified.

[0064] The sewage treatment technology comprehensive evaluation method based on the LCA-AHP-MCS coupled model constructed in the application is applied to the selection of the sewage treatment technology of the estrogen-containing urban wastewater, so as to prove the feasibility of the method of the application.

[0065] Step 1: Select the aerobic-anaerobic (AO) and anaerobic-aerobic-anaerobic (AAO) processes with the ability of simple and high efficiency of removing nitrogen and phosphorus as the sewage treatment processes for treating the estrogen-containing urban wastewater, and obtain the input flow data and output flow data of each life cycle unit process of the two processes.

[0066] Step 2: According to the relationship between each life cycle stage of the product and the relationship between each unit process, the LCA model framework is established. The application selects 10,000 cubic meters of wastewater as the functional unit of the life cycle assessment of the AO and AAO wastewater treatment processes. Since the operation stage of the wastewater treatment has more significant influence on the environment than the construction and demolition stage, and the transportation distance of the chemical substances and other materials is relatively short, the influence of the wastewater treatment on the environment is also small. Therefore, the application does not consider the environmental impact caused by the construction and demolition of the wastewater treatment plant, the transportation of materials and the use of chemicals. The assessment of the wastewater treatment process is divided into three sub-units: pretreatment, biological treatment and sludge treatment. The system boundary period assessment of the sewage treatment process of the estrogen-containing urban wastewater is as shown in Figure 3 .

[0067] Step 3: LCA modeling of data and analysis and assessment of environmental impacts using ReCiPe 2016 (H) midpoint and endpoint environmental impact methods. The AO process comprises two parts, i.e., anaerobic and aerobic, in a volume ratio of 1:4. On the other hand, the AAO process contains three parts, i.e., anaerobic, anoxic, and aerobic, in a volume ratio of 1:1:3. The inventory data for AO and AAO technologies mainly involve the production and consumption of energy and resources, addition of chemicals, effluent discharge from wastewater treatment, air emissions, and disposal of pretreatment solids and sludge.

[0068] Step 4: Characterization and analysis of environmental impacts generated during the operation of AO and AAO processes using ReCiPe 2016 (H) method by combining characterization and normalization impact assessment techniques. In the context of wastewater treatment, and particularly in terms of removal of estrogens, life cycle impact assessment plays a key role in assessing how estrogens affect the environmental footprint and operational efficiency of the treatment system. In the life cycle impact classification step, categories such as freshwater ecotoxicity potential (FWTP), marine ecotoxicity potential (METP), freshwater eutrophication potential (FEP), marine eutrophication potential (MEP), global warming potential (GWP), terrestrial acidification potential (TAFP), and human toxicity potential (HTP) were investigated. This step classifies the impacts of estrogens based on their known harmful effects on aquatic ecosystems and their potential human health risks. The characterization step involves converting the environmental impacts associated with estrogens into a common unit for comparison with other impacts, with the results shown in Figure 4

[0069] Step 5: Environmental impact characterization analysis. Figure 5 ​The environmental impacts of treating estrogen-containing municipal wastewater using AO and AAO processes were demonstrated. For clarity, each environmental impact contribution of the AO process was set to 1, and the contribution of the AAO process was adjusted accordingly. It is worth noting that both processes made significant contributions to the overall environmental impact in terms of GWP, FWEP, MEP, and FRSP indicators. These potential impacts are attributed to the presence of estrogens in wastewater, which pose a threat to freshwater and terrestrial ecosystems. Based on the results of the environmental impact characteristics of the two processes, it was found that the AAO process has greater environmental advantages than the AO process in treating estrogen-containing municipal wastewater, with an average reduction of about 25%. This indicates that AAO effectively reduces the harmful effects on terrestrial and marine ecosystems, human health, and global warming. However, compared with the AO process, the AAO process has a higher contribution to the MEP and FEP environmental impact indicators, increasing by 25% and 12%, respectively. This indicates that the AAO process is more likely to trigger marine and freshwater eutrophication impacts than the AO process during operation. In addition, the other environmental impact contribution indicators of the AAO process are significantly lower than those of the AO process, with an average reduction of 41%. Standardized analysis shows that the standardized contribution values of FEP, MEP, and HTP are significantly higher than those of other indicators, accounting for 93.76% to 97.23% of the total impact. This indicates that AO and AAO processes are more likely to cause freshwater and marine eutrophication when treating estrogen-containing municipal wastewater. In addition, the contribution of the AO process to HTP is significantly higher than that of the AAO process, about 5.3 times higher. This indicates that the AAO process has certain advantages in reducing human health risks. The standard values of other environmental impact indicators are very low, less than 2%, indicating that the environmental impact of soil acidification, ecological toxicity, and fossil energy consumption is relatively small during the operation of the two processes. From the perspective of environmental impact, the AAO process is more suitable for treating estrogen-containing municipal wastewater than the AO process. The AAO process exhibits better effluent quality and a relatively small environmental footprint. In addition, FEP and HTP are identified as the main environmental impact factors among all eight indicators. This indicates that the treatment process may exacerbate marine eutrophication and even pose a threat to human health during operation.

[0070] Step 6: The AHP model is divided into three levels: the target layer, the standard layer, and the alternative layer Figure 5). AHP decomposes the problem into a hierarchical structure, allowing evaluation based on different criteria. A four-level hierarchical model was developed, containing 13 indicators and 2 scenarios. The objective layer aims to select the most suitable estrogen-containing municipal wastewater treatment process, while the middle layer consists of the standard layer and the indicator layer. The indicator layer includes thirteen indicators reflecting the economic and environmental aspects of the process. The economic indicators are the cost of power consumption and the cost of drug consumption, which measure the energy efficiency and health benefits of the process. The environmental impact assessment is based on the results of the life cycle assessment of wastewater treatment technologies. A comprehensive assessment was conducted to determine whether the processes meet the specified standards. The environmental indicators include GWP, FEP, MEP, HTP, FETP, METP, and HTP, which assess the pollution potential and nutrient removal performance of the process. The technical performance indicators are sludge production, total nitrogen removal (TNR), total phosphorus removal (TPR), effluent quality index (EQI), and estrogen removal (ET), which assess the operational stability and water quality of the process.

[0071] Step 7: The weight ratios of technical performance, economic benefit, and environmental benefit are 66%, 21%, and 13%, respectively. This indicates that during operation, technical performance has the highest weight and the greatest contribution to environmental impact. The weights of the 13 indicators are sorted in descending order. ET and EQI have higher weights (22% and 20%, respectively), indicating that when selecting a technology to treat estrogen-containing wastewater, the primary criterion should be effective removal of estrogen. In addition, the higher weight of EQI suggests that improper treatment can lead to serious environmental and health consequences. Subsequently, the technical performance, economic benefit, and environmental impact indicators of AAO and AO processes were assigned weights. The overall objective results of AAO and AO processes are 0.6119 and 0.3881, respectively. Higher values indicate higher suitability. Based on the comprehensive evaluation of technical performance, economic benefit, and environmental impact, the AAO process is considered more suitable for treating estrogen-containing municipal wastewater. In addition, when selecting a process to treat municipal wastewater containing endocrine disruptors such as estrogen, the performance of the process in removing these substances and COD should be prioritized. The impact of the wastewater treatment process on human health should also be considered when selecting the process. The results of AHP further verify the superiority of the AAO process in treating estrogen-containing municipal wastewater.

[0072] Step 8: The impact of various input parameters on the results of the life cycle assessment environmental impact was evaluated based on the MCS sensitivity analysis method, and the key factors were identified. MCS and linear regression calculations were performed using Microsoft Excel Visual Basic for Applications (VBA) to analyze the sensitivity of the results of the life cycle assessment environmental impact. FEP (yl) and HTP (y2) associated with high environmental toxicity were selected as the dependent variables. Multiple input factors were considered, including emission quality index (EQI) (xl), estrogen input (x2), sludge production (x3), pharmaceutical dosage (x4), and electricity consumption (x5). The predicted variables were FEP and HTP, and the number of experiments was 5000 to ensure the credibility and stability of the simulation results within the range of available computing resources, ensuring accuracy and reliability.

[0073] Step 9: MCS allows multiple iterations and random sampling of input factor values. The results of the MCS are shown in Table 2. Figure 6 Subsequently, using the general linear method, the impact coefficients (i.e., slopes) of the input factors on the two dependent variables and their intercepts were calculated under the assumption of normal distribution, as shown in Equations 2 and 3.

[0074]

[0075] The above equations show the linear relationship between each input factor and the environmental impact (FEP and HTP). The R 2 values of the linear models of yl and y2 were 0.82 and 0.89, respectively, indicating a high degree of model fitting. The multiple R values of HTP and FEP were 0.91 and 0.94, respectively, indicating a strong correlation between the independent and dependent variables, which could explain most of the variation. The adjusted R 2 values were 0.82 and 0.89, respectively, confirming that the introduction of variables in the model was appropriate and did not result in overfitting. The multiple R values and R 2The results of the values indicate that both HTP and FEP models have good significance and fitting degree, providing robust and reliable predictions. Both models exhibit high explanatory power and accuracy, indicating their potential applicability in environmental impact assessment. FEP scores positively correlate with estrogen inputs, chemical use, and energy consumption, and negatively with sludge production and EQI. In contrast, HTP sensitivity analysis shows that the impact on human health during the operation of both processes is mainly influenced by wastewater quality, sludge production, chemical dosage, EQI value, and energy consumption. Wastewater quality, sludge production, and chemical dosage positively correlate with human health impact, while EQI value and energy consumption negatively correlate. Sensitivity analysis of FEP and HTP highlights the importance of optimizing operational factors to reduce the environmental and health impacts of wastewater treatment. FEP is mainly influenced by water quality and energy consumption, while HTP is more sensitive to pollutant levels (especially estrogens), sludge production, and chemical use. Sensitivity analysis of both FEP and HTP emphasizes the need to optimize input factors such as wastewater quality, chemical use, energy consumption, and sludge management.

[0076] Through the above examples and effect tests, it can be seen that the sewage treatment technology comprehensive evaluation method provided by the application couples life cycle assessment, analytic hierarchy process, and Monte Carlo simulation sensitivity analysis. The comprehensive evaluation method proposed by the application can effectively extract and analyze the environmental impact characteristics of different sewage treatment processes by clearly listing the various links, materials, and energy flows of the sewage treatment process, significantly improving the interpretability and evaluation accuracy of LCA. Through the AHP model combined with expert evaluation and standardized data, the weight distribution of the sewage treatment technology is allocated, which can comprehensively analyze from the technical, economic, and environmental dimensions, and improve the comprehensive decision analysis ability. Using MCS for sensitivity analysis, through random simulation of input variables, the key factors affecting the sewage treatment effect can be revealed, providing data support for further optimization of the sewage treatment process. Through the comprehensive evaluation model developed by the application, factors that have a greater contribution to the environmental impact in the sewage treatment process can be identified, helping to develop more accurate optimization measures.

[0077] Therefore, the sewage treatment technology comprehensive evaluation method based on the LCA-AHP-MCS coupling model provided by the application not only solves the deficiencies of the prior art, but also greatly improves the efficiency and accuracy of sewage treatment technology evaluation, providing a powerful tool for environmental policy making, technology optimization, and decision support. By optimizing the sewage treatment process and improving resource recovery efficiency, the sustainable development of wastewater treatment technology is promoted.

[0078] According to the technical scheme, the embodiment of the present application provides a sewage treatment technology comprehensive evaluation method and system based on an LCA-AHP-MCS coupling model, which comprises the following steps: first, obtaining resource consumption data of each link of the sewage treatment technology and calculating the impact of the sewage treatment technology on the environment in the whole life cycle to obtain LCA analysis results; then, based on the LCA analysis results, a hierarchical structure model of the sewage treatment technology is constructed, the weights of each process and index are calculated and sorted to obtain AHP evaluation results; next, based on the LCA analysis results and the AHP evaluation results, a MCS sensitivity analysis model is constructed and linear regression calculation is introduced to obtain MCS evaluation results, and the sensitivity and robustness of the MCS evaluation results are evaluated; finally, the LCA analysis results, the AHP evaluation results and the MCS evaluation results are associated and calculated, the sewage treatment technology is comprehensively evaluated, and optimization suggestions are given.

[0079] The sewage treatment technology comprehensive evaluation method and system based on the LCA-AHP-MCS coupling model can effectively measure the environmental impact and carbon emissions generated in the operation process of the sewage treatment technology, is not only suitable for small samples, but also solves the problems of poor interpretability and limited evaluation dimensions of the traditional LCA method by combining AHP and MCS, realizes comprehensive analysis of the environmental impact, energy consumption and other multi-dimensions of the sewage treatment technology, and improves the reliability and accuracy of the evaluation results; the general evaluation framework is introduced, which significantly reduces the modeling complexity and time cost. By integrating LCA, AHP and MCS, the data processing and analysis process is optimized, and the technical evaluation efficiency is improved; the MCS method is used to analyze the sensitivity of the key variables, which can accurately reveal the effect of uncertain factors on the environmental impact in the sewage treatment technology, and provide more forward-looking reference for decision-making; the method has strong adaptability and can be widely applied to technology selection, process optimization and policy making and other scenes, and supports comparison analysis between different technical schemes, and provides a scientific basis for decision-making. By combining LCA, AHP and MCS, a comprehensive decision support system is constructed, the objectivity and scientificity of the evaluation results are ensured, human bias is reduced, and the selection and improvement of the technology are optimized.

[0080] Those skilled in the art can understand that the above embodiments are specific examples for implementing the present application, and in actual application, various changes can be made in form and details without departing from the spirit and scope of the present application. Any person skilled in the art can make changes and modifications without departing from the spirit and scope of the present application, therefore the protection scope of the present application should be limited by the scope defined in the claims.

Claims

1. A comprehensive evaluation method for wastewater treatment technologies based on an LCA-AHP-MCS coupled model, characterized in that, Includes the following steps: Data on each stage of wastewater treatment technology and its resource consumption are obtained, the environmental impact of the entire life cycle of wastewater treatment technology is calculated, and LCA analysis results are obtained. Based on the LCA analysis results, a hierarchical model of wastewater treatment technology was constructed, the weights of each process and indicator were calculated and ranked, and the AHP evaluation results were obtained. Based on the LCA analysis results and AHP evaluation results, an MCS sensitivity analysis model was constructed and linear regression calculation was introduced to obtain the MCS evaluation results, and the sensitivity and robustness of the MCS evaluation results were evaluated. The results of LCA analysis, AHP evaluation, and MCS evaluation are correlated and calculated to comprehensively evaluate the wastewater treatment technology and provide optimization suggestions.

2. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 1, characterized in that, Obtain data on each stage of wastewater treatment technology and its resource consumption, including: Obtain the objectives and scope of LCA, clarify the assessment purpose, system boundaries and functional units, and obtain a representative LCA model in wastewater treatment technology; Based on field surveys and literature reviews, input and output flow data of unit processes in wastewater treatment technologies were obtained, and a system inventory was constructed.

3. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 2, characterized in that, The input stream data includes raw materials used in the unit processes of wastewater treatment technology; The output stream data includes energy consumption, types and quantities of emissions; wherein, energy consumption includes electricity, heat, and fuel; and emissions include wastewater, waste gas, and sludge. The list of built systems includes: Based on the results of on-site surveys and literature reviews, the data were compiled into a process list, a material list, and an energy flow list for the wastewater treatment process. The process list includes all wastewater treatment processes and unit operations; the materials list includes all chemicals, auxiliaries, and other consumable materials; and the energy flow list includes electricity consumption, heat use, fuel input and output, and their consumption.

4. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 1, characterized in that, The environmental impact of wastewater treatment technology throughout its entire life cycle is calculated, and the LCA analysis results are obtained, including: The data were characterized, standardized, and analyzed using the LCA built-in database to obtain carbon emission factor coefficients and derive the environmental impact characteristic index values ​​of material flow input and material flow output at each stage of wastewater treatment technology.

5. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 1, characterized in that, Based on the LCA analysis results, a hierarchical model of wastewater treatment technologies is constructed, including: Based on the LCA analysis results, the indicators affecting wastewater treatment technology and the potential environmental impact of the process were determined, and a hierarchical model of wastewater treatment technology was constructed. The hierarchical model includes a top-level target layer, several intermediate layers, and a bottom-level solution layer.

6. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 5, characterized in that, After constructing the hierarchical model of wastewater treatment technologies, and before calculating and ranking the weights of each process and indicator, the following steps are also included: Based on expert opinions and situation analysis, the judgment matrix is ​​constructed by using a scale of 1 to 9 to measure the comparison results in order from low to high level. The judgment matrix is ​​shown below: A=(a ij )n×n Where A is the judgment matrix; a ij This represents the ratio of the importance of element i to element j; i = 1, 2, 3…n; j = 1, 2, 3…n; a ji =1 / a ij When i=j, a ij =1.

7. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 6, characterized in that, Calculate and sort the weights of each process and indicator, including: Construct a comparison matrix to compare each element of the upper and lower layers; Assign weights to the elements in the next layer based on the comparison results, and repeat this process. The weight values ​​of each influencing factor at the lowest level relative to the overall goal are calculated and sorted. A top-down hierarchical overall ranking and weight calculation are performed to rank the wastewater treatment technologies and various indicators by weight. The consistency of the final results is then verified.

8. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 7, characterized in that, The consistency of the final results is tested using the consistency test formula, and the calculation formula is as follows: CR =[ (λ max - n) / (n-1) ] / RI Where CR represents the consistency ratio; λ max CR represents the largest eigenvalue of the comparison matrix, and RI represents the average random consistency index of the judgment matrix. When CR < 0.1, it indicates that the judgment matrix meets the consistency requirements. When CR ≥ 0.1, it indicates that the judgment matrix needs to be corrected to achieve consistency.

9. The comprehensive evaluation method for wastewater treatment technology based on the LCA-AHP-MCS coupled model according to claim 1, characterized in that, When using the MCS sensitivity analysis model to assess the impact of input variables on the environmental impact results of life cycle assessment, predictor variables and determinant variables are selected, and the number of experiments is set. The multiple R-values ​​and R-values ​​of the MCS sensitivity analysis model are then used. 2 Values ​​are used to ensure the reliability and stability of the simulation; The input variables are the indicators of each stage of wastewater treatment technology and its resource consumption data, as well as the LCA evaluation results; the determinant variables are the key indicators in the system inventory data, and the predictor variables are the indicators with significant environmental impact contributions in the LCA evaluation results; based on the selected indicators, the number of experiments is set, and the multiple R-values ​​and R-values ​​of the model are analyzed. 2 This value ensures the reliability and stability of the simulation.

10. A comprehensive evaluation system for wastewater treatment technologies based on an LCA-AHP-MCS coupled model, the system being used to implement the comprehensive evaluation method for wastewater treatment technologies based on an LCA-AHP-MCS coupled model as described in any one of claims 1 to 9, characterized in that, The system includes: an environmental impact contribution calculation module, a structured decision-making module, a sensitivity analysis module, and a comprehensive evaluation module, connected in sequence; among them, The environmental impact contribution calculation module is used to obtain data on each stage of wastewater treatment technology and its resource consumption, calculate the environmental impact of the wastewater treatment technology throughout its entire life cycle, and obtain LCA analysis results. The structured decision module is used to construct a hierarchical model of wastewater treatment technology based on the LCA analysis results, calculate and sort the weights of each process and indicator, and obtain the AHP evaluation results. The sensitivity analysis module is used to construct an MCS sensitivity analysis model based on the LCA analysis results and AHP evaluation results, and to introduce linear regression calculations to obtain the MCS evaluation results, and to evaluate the sensitivity and robustness of the MCS evaluation results. The comprehensive evaluation module is used to perform correlation calculations on the LCA analysis results, AHP evaluation results, and MCS evaluation results, to comprehensively evaluate wastewater treatment technologies, and to provide optimization suggestions.

Images