Simulation method for pollution control scheme optimization

Abstract

The invention discloses a simulation method for pollution control scheme optimization, and the method comprises the steps: formulating a water quality standard-reaching prediction scene scheme, formulating different pollution control schemes from the aspects of pollutant discharge, water taking amount, water flow and the like according to the water quality standard-reaching target of pollution control, and carrying out the modification and adjustment according to the adjustment accessibility; water quality standard-reaching prediction scene simulation: according to the setting result of the scene scheme, simulating and calculating the environment quality condition of the whole watershed in a period of time under each scene scheme; and water quality standard-reaching prediction scene comparison: formulating a plurality of sets of water quality standard-reaching schemes according to user requirements, automatically evaluating scheme results according to a set target, and classifying according to whether the target is reached or not.

Description

Technical Field

[0001] The invention relates to the technical field of water pollution prevention and analysis, in particular to a simulation method for optimizing pollution prevention and control programs. Background Art

[0002] The ecological environment of a river basin plays a vital role in promoting the healthy, sustainable and coordinated development of a country's economy and society. Among them, the water environment of a river basin is the core component of the ecological environment of a river basin. At present, seeking effective methods for the governance and management of river basin water environment has become an important consideration for promoting the sustainable and healthy development of social economy.

[0003] The protection and governance of river basin water environment is a complex system project. However, there is currently an unclear and uncoordinated relationship between the laws and regulations on water pollution. In addition, the responsibilities and powers between upstream and downstream, administrative regions, and departments in the river basin are unclear, and an effective cooperation and coordination mechanism has not been established, making it difficult to form a joint force. As a result, it is difficult for local governments to solve the problem of cross-border water pollution in the river basin, making it impossible to optimize the allocation of water resources and water environment, and the comprehensive governance of the river basin water environment is still difficult. Therefore, after years of governance, the problem of river basin water pollution is still "long-term incurable", and the situation of water pollution remains severe.

[0004] Deep learning models and mechanism models have their own advantages and disadvantages in predicting water quality. The construction of a stable deep learning model depends on high-quality and sufficient training data sets, otherwise the model will have low regression stability and insufficient certainty of influencing factors. The mechanism model has higher accuracy, but the input parameters are complex and require higher data accuracy. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention aims to provide a simulation method for optimizing pollution control schemes. The method of the present invention can realize water quality compliance scenario simulation based on water quality deep learning models and mechanism models.

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A method for simulating the optimization of a pollution prevention and control scheme, the method comprising:

[0008] Develop water quality compliance prediction scenarios, where different pollution control plans are developed in terms of pollutant emissions, water intake, water flow, etc., and are modified and adjusted based on the accessibility of the adjustments;

[0009] Water quality compliance prediction scenario simulation, in which the environmental quality status of the entire river basin over a period of time under each scenario is simulated and calculated based on the set results of the scenario plan;

[0010] Scenario comparison for water quality compliance prediction. Among them, multiple sets of water quality compliance plans are formulated according to user requirements, the results of the plans are automatically evaluated according to the set goals, and they are classified according to whether the goals are achieved.

[0011] Preferably, the formulation of the water quality compliance prediction scenario plan further includes the formulation of pollution emission plans, water conservancy plans, hydrological plans, and water resource dispatching plans.

[0012] Preferably, in the formulation of the pollution emission plan, based on the wastewater pollution emission list, overall adjustments are made for the business requirements of pollution control according to industries, regions, and river basins, and source adjustments can also be made for the business requirements of specific pollution sources; the formulation of the water conservancy plan includes the artificial setting of conditions such as precipitation, sunlight, and temperature in the entire river basin, and the flow change of a certain river section can also be set to form a water conservancy plan; in the formulation of the hydrological plan, different hydrological assurance rates can be selected for scenario simulation, including hydrological assurance rates of 10%, 50%, and 90%; in the formulation of the water resource dispatching plan, scenario simulations can be carried out for different water resource dispatching plans, including the changes in river basin water quality under conditions such as the minimum ecological discharge flow and cross-basin water diversion.

[0013] Preferably, in the water quality compliance prediction scenario simulation, it includes the changes in the concentrations of various pollutants, the changes in water quality levels, the overall water quality compliance situation, and the comparison with the current situation during the simulation. The simulation data is presented in a list and combined manner, and at the same time, the visualization expression of the simulation results is realized based on GIS. The changes in the concentrations of various pollutants and water quality levels during the simulation are shown in a dynamic graph rendering manner as time gradually increases. If there is an over-standard situation, the system will automatically issue a warning, and the time step of the simulation analysis can be adjusted.

[0014] Preferably, the water quality compliance prediction scenario comparison includes comparing the simulation results of each set of plans, including the change trends of pollutant concentrations and the cross-section compliance rates of different plans. At the same time, the visualization expression of different scenario plans is realized based on GIS, and the similarities and differences of the contents of each plan are compared, so as to help formulate the optimal pollution control plan; the simulation results of different scenarios can be conveniently switched and displayed.

[0015] The beneficial effect of the present invention is that it realizes the set river basin pollution control goals, formulates different pollution control plans from aspects such as pollutant emissions, water intake, and pollution control measures, calls the water quality model after setting the plan parameters, completes the scenario simulation, and realizes the water quality compliance prediction design. Detailed implementation mode

[0016] The following will further describe the present invention. It should be noted that this embodiment is based on the present technical solution and gives detailed implementation methods and specific operation processes, but the protection scope of the present invention is not limited to this embodiment.

[0017] The present invention is a simulation method for optimizing pollution prevention and control solutions, and the method includes:

[0018] Formulating scenarios for predicting water quality compliance, wherein, for the water quality compliance targets of pollution control, different pollution control solutions are formulated from aspects such as pollutant emissions, water intake, and water body flow, and are modified and adjusted according to the adjusted accessibility;

[0019] Simulating scenarios for predicting water quality compliance, wherein, according to the setting results of the scenario solutions, the environmental quality status of the entire basin over a period of time under each scenario solution is simulated and calculated;

[0020] Comparing scenarios for predicting water quality compliance, wherein multiple sets of water quality compliance solutions are formulated according to user requirements, the results of the solutions are automatically evaluated according to the set targets, and are classified according to whether the targets are achieved.

[0021] Preferably, formulating scenarios for predicting water quality compliance further includes formulating pollution emission solutions, water conservancy solutions, hydrological solutions, and water resources scheduling solutions.

[0022] Preferably, in formulating pollution emission solutions, it includes overall adjustment based on the wastewater pollution emission list for the business requirements of pollution control according to industries, regions, and river basins, and also source adjustment for the business requirements of specific pollution sources; formulating water conservancy solutions includes artificially setting conditions such as precipitation, sunlight, and temperature in the entire basin, or setting the flow change of a certain river section to form a water conservancy solution; formulating hydrological solutions can select different hydrological assurance rates for scenario simulation, including hydrological assurance rates of 10%, 50%, and 90%; formulating water resources scheduling solutions can simulate different water resources scheduling solutions, including the change of basin water quality under conditions such as the minimum ecological discharge flow and cross-basin water diversion.

[0023] Preferably, in simulating scenarios for predicting water quality compliance, it includes the change of concentrations of various pollutants, the change of water quality levels, the overall water quality compliance situation, and the comparison with the current situation during the simulation. The simulation data is presented in a list and combined manner, and at the same time, the visualization expression of the simulation results is realized based on GIS, and the change of concentrations of various pollutants and water quality levels during the simulation with the gradual increase of time is presented in the form of dynamic graph rendering. If there is an over-standard situation, the system automatically issues a warning, and the time step of the simulation analysis results can be adjusted.

[0024] Preferably, the comparison of water quality compliance prediction scenarios includes comparing the simulation results of each set of scenarios, including the changing trends of pollutant concentrations and the cross-section compliance rates of different scenarios. At the same time, based on GIS, the visualization of different scenario plans is realized, and the similarities and differences of the content of each plan are compared, so as to help formulate the optimal pollution control plan; the simulation results of different scenarios can be conveniently switched and displayed.

[0025] It should be noted that the present invention also includes pollution source tracing, identification and diagnosis design schemes.

[0026] 1. Watershed pollution source tracing analysis

[0027] The purpose of tracing the water pollution sources in the watershed is to investigate the water quality of the upstream of the polluted river section by examining the river sections with abnormal fluctuations in water volume and water quality. Based on data such as the positions of the outfalls in the watershed, the outfalls that may discharge wastewater exceeding the standards and the main pollution factors are locked. Through the correlation between the main pollutants, wastewater outfalls and enterprises, the suspected polluting enterprises are screened.

[0028] The water pollution source tracing analysis system is organically combined with the dynamic management system of pollution source information. The dynamic management system of pollution source information provides the environmental management attribute information of pollution source enterprises. Combining with the basic data of the tributaries, main streams, and cross-sections in the watershed, an internal connection is established among the watershed, tributaries, main streams, cross-sections, outfalls, and enterprises, helping environmental protection managers to provide an analysis basis for pollution source tracing and obtaining the scope of suspected enterprises. At the same time, material balance calculations can be carried out on the raw materials, energy consumption, and operation of sewage treatment facilities declared by polluting enterprises through the dynamic management system of pollution source information. Combining with the online sewage monitoring data and supervision monitoring data, the scope of suspected enterprises can be further narrowed, providing a decision-making basis for managers.

[0029] ① Screening of exceeded-standard cross-sections

[0030] The system supports obtaining the list and distribution map of cross-sections of small and medium-sized rivers such as the main stream and tributaries in the watershed through screening. According to the cross-section water quality standards and monitoring data, it automatically judges whether the cross-section exceeds the standard, and distinguishes and displays the exceeded-standard and non-exceeded-standard cross-sections with differently colored layers on the map.

[0031] Through the cross-section list, historical monitoring data of various pollution factors of each cross-section can be browsed, the monitoring values of various pollution factors of each month are displayed monthly, and comparative analysis with the water quality standard values, the same period values of the previous year, and the assessment standards is realized.

[0032] ② Identification of exceeded-standard outfalls

[0033] According to the screened cross-sections, view the list of wastewater outfalls of this cross-section. According to the cross-section water quality standards, it automatically judges whether the outfall exceeds the standard, and displays the exceeded-standard and non-exceeded-standard outfalls with differently colored layers on the map, so as to

[0034] obtain the wastewater outfalls where the cross-section exceeds the standard.

[0035] ③Automatic identification of suspected enterprises

[0036] According to the response relationship between the wastewater discharge outlet and the pollution source enterprise in the dynamic management system of pollution source information, the scope of the pollution source enterprise can be directly locked through the discharge outlet, that is, the wastewater discharged by the enterprise is discharged into the river through this discharge outlet.

[0037] The system sets judgment rules with the enterprise's wastewater discharge outlet, main pollutants, monitoring data, etc. as judgment conditions. According to the exceeded discharge outlets and exceeded pollution factors, as well as the one-source-one-file system, it automatically identifies the scope of suspected enterprises discharging the pollutant, obtains the enterprise list, and displays the suspected enterprises on the map with different layers. It supports enterprise positioning and information viewing.

[0038] 2. Water quality diagnosis consultation

[0039] Through the water quality diagnosis expert consultation function, it provides a basin environmental diagnosis tool for the basin management department to support the decision-making and deployment of the pollution prevention and control battle. It supports expert consultation in two scenarios: water quality exceeded consultation and emergency accident consultation, including three closed-loop processes: initiating consultation, assisting analysis, and expert diagnosis. It can associate and integrate the ecological environment quality, pollution sources, environmental supervision data, and spatial data related to the consultation object, construct a big data knowledge graph, and associate and mine the thematic data related to the consultation problem from four dimensions: along-course analysis, hydrological situation analysis, emission source analysis, and water quality improvement decision support, assist expert decision-making analysis, and automatically generate a consultation report in combination with the consultation opinions filled in by experts.

[0040] For those skilled in the art, various corresponding changes and deformations can be given according to the above technical solutions and concepts, and all these changes and deformations should be included within the protection scope of the claims of the present invention.

Claims

1. A simulation method for optimizing a pollution prevention and control scheme, characterized in that: The method comprises: Develop water quality compliance prediction scenarios, where different pollution control plans are developed in terms of pollutant emissions, water intake, water flow, etc., and are modified and adjusted based on the accessibility of the adjustments; Water quality compliance prediction scenario simulation, in which the environmental quality status of the entire river basin over a period of time under each scenario is simulated and calculated based on the set results of the scenario plan; Comparison of water quality compliance prediction scenarios, in which multiple water quality compliance plans are formulated according to user needs, the results of the plans are automatically evaluated according to the set goals, and classified according to whether the goals are achieved.

2. The method for simulating the optimization of pollution prevention and control schemes according to claim 1, characterized in that: The formulation of the water quality compliance prediction scenario plan also includes the formulation of pollution emission plans, water conservancy plans, hydrological plans and water resources scheduling plans.

3. The method for simulating the optimization of pollution prevention and control schemes according to claim 2, characterized in that: The formulation of the pollution emission plan includes overall adjustments based on the wastewater pollution emission inventory to the business needs of pollution control according to industry, region, and river basin, and can also adjust pollution sources according to the business needs of adjusting specific pollution sources; the formulation of the water conservancy plan includes artificial settings of precipitation, light, temperature and other conditions for the entire river basin, and can also set the flow changes of a certain river section to form a water conservancy plan; the formulation of the hydrological plan can select different hydrological guarantee rates for scenario simulation, including hydrological guarantee rates of 10%, 50% and 90%; the formulation of the water resources scheduling plan can simulate different water resources scheduling plans, including changes in basin water quality under conditions such as minimum ecological downstream flow and cross-basin drinking water.

4. The method for simulating the optimization of pollution prevention and control schemes according to claim 1, characterized in that: The water quality compliance prediction scenario simulation includes the simulated changes in the concentration of each pollutant, the changes in the water quality level, the overall water quality compliance and the comparison with the current situation. The simulated data is presented in a list and combined manner. At the same time, the simulation results are visualized based on GIS. The simulated concentration of each pollutant and the change of water quality level with time are presented in the form of dynamic graphic rendering. If there is an excess of the standard, the system will automatically issue a warning. The time step can be adjusted based on the results of the simulation analysis.

5. The method for simulating the optimization of pollution prevention and control schemes according to claim 1, characterized in that: The water quality compliance prediction scenario comparison includes comparing the simulation results of each set of plans, including the pollutant concentration change trends and cross-section compliance rates of different plans, and realizing the visualization of different scenario plans based on GIS, comparing the similarities and differences of the contents of each plan, so as to help it formulate the best pollution control plan; the simulation results of different scenarios can be conveniently switched and displayed.