CN111428972A

CN111428972A - Storage regulation engineering environmental effect evaluation method and device based on SWMM and EFDC coupling model

Info

Publication number: CN111428972A
Application number: CN202010164114.5A
Authority: CN
Inventors: 夏瑞; 杨中文; 陈焰; 王璐; 张远; 马淑芹; 张凯; 后希康; 郝彩莲; 王晓; 贾蕊宁; 杨辰; 张晓娇
Original assignee: Chinese Research Academy of Environmental Sciences
Current assignee: Chinese Research Academy of Environmental Sciences
Priority date: 2020-03-10
Filing date: 2020-03-10
Publication date: 2020-07-17
Anticipated expiration: 2040-03-10
Also published as: AU2021233949A1; WO2021180100A1; CN111428972B

Abstract

The invention discloses a regulation and storage engineering environmental effect evaluation method and device based on SWMM and EFDC coupling models, wherein the method comprises the following steps: acquiring first geographic data for representing the runoff of a pipe network of a research area, second geographic data for representing pipe network parameters of the research area, third geographic data for representing the distribution of a river channel of the research area and fourth geographic data for representing the hydrodynamic water quality of the river channel of the research area; constructing a first coupling model of SWMM and EFDC according to the data to obtain first output data for representing the water quality and water quantity before the regulation and storage project is implemented; acquiring the position and scale of a regulation and storage project, catchment area data and project investment data; adjusting the SWMM model according to the position, scale and catchment area data of the regulation and storage project; constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented; and evaluating the environmental effect of the regulation and storage project according to the first output data, the second output data and the project investment data.

Description

Storage regulation engineering environmental effect evaluation method and device based on SWMM and EFDC coupling model

Technical Field

The invention relates to the field of water environment treatment engineering, in particular to a regulation and storage engineering environmental effect evaluation method and device based on an SWMM and EFDC coupling model.

Background

The regulation and storage engineering is a common means for urban water environment treatment, especially for non-point source pollution control. Generally, the surface source is directly input into a river channel along with rainfall runoff, so that the pollution load of the river channel is increased, the water quality is deteriorated, and the water quality section reaches the standard. In order to reduce non-point source pollution and directly connect into a river, a storage pond with a certain scale can be built in a rainwater pipe network system, and rainfall runoff in a certain area is collected. The effect of staggering the flood peak can be reached from the water conservancy angle, then can accomodate the great initial stage rainwater of pollution load from the angle that quality of water improves, reduces the influence of initial stage rainwater to river course quality of water. However, before the implementation of the storage regulation project, how to design the size of the storage regulation pool and how to set the position of the storage regulation pool have certain reference values for the project implementation and the project cost, and in the process of the project implementation, how to evaluate the influence of some natural phenomena (rainfall and the like) on the quality of the water of the assessment section is also the main content of the project implementation. Therefore, the environmental effect evaluation of the storage engineering needs to be carried out, and technical support can be provided for engineering implementation and construction cost.

At present, the environmental effect evaluation methods used in the storage and regulation project mainly include:

a post-effect evaluation method based on data analysis mainly evaluates the operation effect of a project by analyzing the water quality change degree after the project is implemented, but the method mainly depends on the actual measurement data after the project is actually operated, cannot pre-judge the effect after the project is built and operated in the project planning period, and has a great limitation on guiding the formulation of a project planning scheme in the early stage.

The pollution emission reduction effect evaluation method based on load calculation mainly analyzes the emission reduction effect after the engineering is implemented based on the angle of total pollutant amount control, but does not consider the response relation between pollution emission reduction and water quality, can not scientifically evaluate the water environment quality improvement effect after the engineering design scheme (design parameters such as position, scale and the like) is implemented, and is difficult to provide technical support for the formulation of a treatment engineering scheme taking a water quality target as a core.

The improvement effect of the water environment is simulated and analyzed by taking hydrodynamic water quality model simulation of the urban riverway as a means and river water quality change before and after engineering implementation as boundary conditions, but the method only considers the pollution emission and the water environment response process in the riverway and does not fully consider the influence of the rainfall runoff process under different season conditions, and the influence of the source rainfall runoff pollution input outside the riverway on the water environment improvement effect is not fully considered.

In the above evaluation methods, the factors for reference in the evaluation process are comprehensive, the influence of urban non-point source pollution input on the water environment is not considered, the influence of the project position, the scale and the like on the environmental effect of the storage project is not considered, the influence of the change process of rainfall runoff on the environmental effect of the storage project in the project implementation process is not considered, and the evaluation result is easy to be inaccurate.

Disclosure of Invention

In view of this, in order to overcome the defect that the evaluation result of the storage engineering environmental effect evaluation method in the prior art is inaccurate, embodiments of the present invention provide a storage engineering environmental effect evaluation method and apparatus based on the SWMM and EFDC coupling model.

According to a first aspect, an embodiment of the present invention provides a regulation engineering environmental effect evaluation method based on an SWMM and EFDC coupling model, including: acquiring first geographic data for representing the runoff of a pipe network of a research area, second geographic data for representing pipe network parameters of the research area, third geographic data for representing the distribution of a river channel of the research area and fourth geographic data for representing the hydrodynamic water quality of the river channel of the research area; constructing a first coupling model of SWMM and EFDC according to the first geographical data, the second geographical data, the third geographical data and the fourth geographical data to obtain first output data for representing the water quality and the water quantity before the regulation and storage project is implemented; acquiring the position and scale of a regulation and storage project, catchment area data and project investment data; adjusting the SWMM model according to the position, scale and catchment area data of the regulation and storage project; constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented; and evaluating the environmental effect of the regulation and storage project according to the first output data, the second output data and the project investment data.

Optionally, the SWMM model includes a pipe network system, and the adjusting of the SWMM model according to the storage engineering position, scale, and catchment area data includes: the method comprises the steps that storage projects are used as nodes to enter a pipe network system in a generalized mode according to storage project positions; converting the node into a regulation pool and converting a pipeline behind the regulation pool into an orifice; and adjusting the pipe network system according to the catchment area data, the storage pool and the orifice of the storage engineering.

Optionally, adjusting the pipe network system according to the catchment area data, the storage tank, and the orifice of the storage engineering includes: dividing a catchment area into independent areas in a pipe network system according to catchment area data of the storage pool; and adjusting the pipe network trend and boundary conditions of the catchment area according to the positions and orifices of the catchment area and the regulation and storage pool.

Optionally, the estimating an environmental effect of the storage engineering according to the first output data, the second output data and the engineering investment data comprises: obtaining a first water quality index concentration and a first water quantity of a section to be examined according to the first output data and a preset water quality index, wherein the section to be examined is a downstream outlet section of a river channel in a research area, a key focus section or a water quality assessment section; obtaining a second water quality index concentration, a second water quantity, the number of days for reaching the water quality index standard and the total number of days for simulating the water quality index of the section to be examined according to the second output data and the preset water quality index; calculating the change rate of the water quality concentration, the change amount of the load flux, the standard reaching rate and the cost-efficiency ratio based on the water quality according to the first water quality index concentration, the first water quantity, the second water quality index concentration, the second water quantity, the standard reaching days of the water quality index, the total simulation days of the water quality index and the engineering investment data; and evaluating the environmental effect of the regulation and storage project according to the water quality concentration change rate, the load flux change amount, the standard reaching rate and the water quality-based cost-effectiveness ratio.

Optionally, the water quality concentration change rate, the load flux change amount, the standard reaching rate and the water quality-based cost-to-efficiency ratio are calculated by the following formulas:

water concentration change rate k:

load flux variation W: w ═ C_t*Q_t-C₀*Q₀

Standard reaching rate S:

cost-to-benefit ratio based on water quality R:

wherein: k represents the rate of change of water concentration, C₀、C_tRespectively representing the water quality index concentration (mg/l) before and after the regulation and storage engineering; w represents the amount of change in load flux, Q₀、Q_tRespectively representing the water volume (m) before and after the regulation project³S); s represents the achievement rate, D_S、D_TShowing the days of reaching the standard of the water quality index and the total days (day) of simulation after the regulation and storage project; r represents the cost-to-efficiency ratio based on water quality, and M represents the engineering investment (ten thousand yuan).

Optionally, constructing the SWMM and EFDC first coupling model according to the first geographical data, the second geographical data, the third geographical data, and the fourth geographical data includes: constructing an SWMM model according to the first geographic data; obtaining output data of the runoff water quality and the water quantity of the pipe network of the research area according to the second geographic data and the SWMM model; constructing an EFDC model according to the third geographic data and the fourth geographic data; and coupling the SWMM model and the EFDC model according to the output data of the runoff water quality and the water quantity of the pipe network of the research area to generate a first coupling model of SWMM and EFDC.

According to a second aspect, an embodiment of the present invention provides a storage engineering environmental effect evaluation apparatus based on SWMM and EFDC coupling models, including: the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring first geographic data for representing the runoff of a pipe network of a research area, second geographic data for representing pipe network parameters of the research area, third geographic data for representing the distribution of a river channel of the research area and fourth geographic data for representing the hydrodynamic water quality of the river channel of the research area; the first construction unit is used for constructing a SWMM and EFDC first coupling model according to the first geographical data, the second geographical data, the third geographical data and the fourth geographical data to obtain first output data used for representing water quality and water quantity before the regulation and storage project is implemented; the second acquisition unit is used for acquiring the position and scale of the storage engineering, catchment area data and engineering investment data; the adjusting unit is used for adjusting the SWMM model according to the position, scale and catchment area data of the storage engineering; the second construction unit is used for constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented; and the evaluation unit is used for evaluating the environmental effect of the regulation and storage project according to the first output data, the second output data and the project investment data.

According to a third aspect, an embodiment of the present invention provides a computer device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the storage device stores instructions executable by the processor, and the instructions are executed by the at least one processor to cause the at least one processor to execute the method for estimating environmental effects of storage engineering based on the SWMM and EFDC coupling model according to the first aspect or any embodiment of the first aspect.

According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method for estimating environmental effects of storage engineering based on the SWMM and EFDC coupling model as in the first aspect or any implementation manner of the first aspect.

The method and the device for evaluating the environmental effect of the storage engineering based on the SWMM and EFDC coupling model provided by the embodiment of the invention form the SWMM and EFDC coupling model by embedding the network management hydrological model (SWMM) in the traditional riverway hydrodynamic water quality model (EFDC), evaluate the environmental effect of the storage engineering, and can comprehensively consider the integrity and systematicness of a basin due to the fact that the SWMM model considers the urban rainfall runoff (urban non-point source pollution), comprehensively consider the conditions of terrain, a pipe network, hydrology, meteorology, water quality and the like, and generally evaluate the environmental effect of the storage engineering by the SWMM and EFDC coupling model, so that the method and the device can generally simulate and analyze the influence of the non-point source pollution generated by the rainfall runoff on the water quality section standard, for the storage engineering, the storage engineering is generalized to the SWMM model as a variation value rather than to the EFMM model, and consider the influence of the storage engineering environmental effect in the rainfall runoff variation process, and when the storage regulation project is generalized to enter the SWMM, the position, the scale and the like of the storage regulation project are considered, so that the evaluation on the environmental effect of the storage regulation project is more accurate.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic flow chart illustrating a method for evaluating environmental effects of regulation engineering based on a SWMM and EFDC coupling model according to an embodiment of the present invention;

FIG. 2 is a schematic diagram illustrating node and pipe form conversion in a storage tank generalization according to an embodiment of the present invention;

FIG. 3 is a schematic diagram showing a modification of a pipe network system according to an embodiment of the present invention;

FIG. 4 shows a case zone water system and land use profile for an embodiment of the present invention;

FIG. 5 illustrates a case zone element point bitmap, according to an embodiment of the present invention;

FIG. 6 illustrates a case zone DEM digital elevation map of an embodiment of the present invention;

FIG. 7 shows a schematic representation of a large cross-section of a case-zone portion of a river terrain in accordance with an embodiment of the present invention;

FIG. 8 illustrates a case zone rainfall station rainfall daily scale histogram of an embodiment of the present invention;

FIG. 9 shows a schematic of a case zone SWMM model skeleton according to an embodiment of the invention;

FIG. 10 illustrates case zone first coupling model traffic rating results for an embodiment of the present invention;

FIG. 11 shows the water quality calibration results of the case zone first coupling model according to the embodiment of the present invention;

FIG. 12 shows a SWMM exit profile for a case zone storage tank and prior to setting up the storage tank in an embodiment of the invention;

FIG. 13 shows a ductwork system diagram with case zones involving SU4 and SU5 in accordance with an embodiment of the present invention;

fig. 14 shows a partial view of a pipe network modified by SU4 and SU5 in case zone according to an embodiment of the present invention;

FIG. 15 shows an original piping network diagram and a modified piping network diagram of a case zone involving SU7 according to an embodiment of the present invention;

fig. 16 is a schematic diagram showing the setting of the regulation pool parameter No. 4 of the case zone according to the embodiment of the present invention;

fig. 17 is a schematic diagram showing the setting of the regulation pool parameter No. 5 of the case zone according to the embodiment of the present invention;

fig. 18 is a diagram showing the setting of the regulation pool parameter No. 7 of the case zone according to the embodiment of the present invention;

FIG. 19 illustrates the boundary generalization inputs for case zone storage pools in a model according to an embodiment of the present invention;

FIG. 20 is a diagram showing the COD concentration variation trend of the examination sections before and after the regulation project of the embodiment of the invention;

FIG. 21 is a schematic structural diagram of an environmental effect assessment apparatus for storage regulation engineering based on a SWMM and EFDC coupling model according to an embodiment of the present invention;

fig. 22 is a schematic diagram showing a hardware configuration of a computer device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that when an element such as a layer, region or substrate is referred to as being "on" or extending "onto" another element, it can be directly on or extend directly onto the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly on" or extending "directly onto" another element, there are no intervening elements present. Also, it will be understood that when an element (e.g., a layer, region or substrate) is referred to as being "on" or extending "over" another element, it can be directly on or extend directly over the other element, or intervening elements may also be present. In contrast, when an element is referred to as being "directly on" or extending "directly over" another element, there are no intervening elements present. It will also be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. In contrast, when an element is referred to as being "directly connected" or "directly coupled" to another element, there are no intervening elements present.

Relative terms (e.g., "below …" or "above …" or "upper" or "lower" or "horizontal" or "vertical") may be used herein to describe one element, layer or region's relationship to another element, layer or region as illustrated in the figures. It will be understood that these terms and those discussed above are intended to encompass different orientations of the device in addition to the orientation depicted in the figures.

The embodiment of the invention provides a regulation and storage engineering environmental effect evaluation method based on an SWMM and EFDC coupling model, which comprises the following steps:

s101, obtaining first geographic data used for representing the runoff of a pipe network of a research area, second geographic data used for representing pipe network parameters of the research area, third geographic data used for representing the distribution of a river channel of the research area and fourth geographic data used for representing the hydrodynamic water quality of the river channel of the research area.

Specifically, the first geographic data for characterizing pipe network runoff in the research area comprise: the method comprises the steps of studying regional range boundaries, Digital Elevation Model (DEM) data, rainfall station coordinate positions, evaporation station coordinate positions, land utilization data, soil type data, river channel assessment section positions and the like. The second geographic data characterizing the parameters of the pipe network of the study area include: the rainfall and the corresponding observation time sequence, the evaporation capacity and the corresponding observation time sequence monitored by the meteorological station. Third geographic data characterizing the river course distribution of the study area includes: water system distribution of a research area, the position of a hydrological station of the research area, the position of a water quality monitoring station, river terrain data and the like. The fourth geographical data characterizing the hydrodynamic water quality of the riverway at the research area comprises: the fourth geographic data includes: the method comprises the steps of studying area sewage treatment plant position, sewage discharge flow and sewage discharge concentration, studying area sewage discharge outlet position, sewage discharge flow and sewage discharge concentration, studying area river hydrology station historical monitoring or river inflow water flow sequence data monitored on site and studying area river inflow water background concentration sequence data monitored on historical monitoring or site of a water quality monitoring station.

S102, constructing a SWMM and EFDC first coupling model according to the first geographic data, the second geographic data, the third geographic data and the fourth geographic data to obtain first output data used for representing water quality and water quantity before the regulation and storage project is implemented.

Specifically, the swmm (storm water management model) model is a storm flood management model. The EFDC (the Environmental Fluid Dynamics code) model is an Environmental Fluid Dynamics model. The SWMM model can be built by adopting the first geographic data, the EFDC model is built by adopting the third geographic data and the fourth geographic data, the SWMM model is calibrated by adopting the second geographic data as a drive, the output data of the SWMM model is used as the drive of the EFDC model, the coupling of the SWMM model and the EFDC model is completed, and the first coupling model of the SWMM and the EFDC is generated. After the first coupling model of SWMM and EFDC is generated, the model automatically outputs first output data, wherein the first output data comprises water quality and water quantity data which change along with time before the regulation and storage engineering is implemented.

And S103, acquiring the position, scale, catchment area data and project investment data of the storage project.

Specifically, the storage engineering is a common engineering measure for water environment treatment, and the storage engineering is taken as a storage tank in this embodiment for illustration. The general practice of regulation engineering sets up one and intercepts before going into the river pipeline, collects initial rainwater in the regulation pond, and the initial rainwater of detaining deposits in the regulation pond, and if the regulation pond is full, the water of inside then along with the outlet conduit at regulation pond top, discharges into the river course. In actual conditions, the runoff that erodes in the early stage of rainfall is great to the pollution of river course, sets up the regulation pond before getting into the river course and can let river course pollution load reduce, and can alleviate the influence of flood peak to a certain extent. According to the engineering plan, in combination with the on-site survey, the geographical position (x, y) of the storage tank can be determined, while according to the engineering plan, the scale (storage volume m) of the storage tank can be determined³) Engineering investment data and catchment area data.

And S104, adjusting the SWMM model according to the position, scale and catchment area data of the storage engineering.

Specifically, it is generally considered that the pipeline for joining rain and sewage directly joins rain and sewage into a sewage treatment plant for treatment, so that the water volume and the water quality are discharged according to the standard of the sewage treatment plant after treatment. However, in practice, the sewage produced by rainfall runoff is directly discharged into the river channel along with the rainwater pipeline, so that during rainfall, the water quantity and the water quality of the part of the sewage are changed along with the rainfall process and are not discharged in a constant amount. Therefore, the regulation pool needs to be generalized in the SWMM model as a variation value, rather than in the EFDC model as a constant value. The storage engineering can be generalized into the SWMM model according to information such as the position and scale of the storage engineering, the catchment area of the SWMM model can be modified according to the catchment area data of the storage engineering, and then the SWMM model is adjusted. The main parameters related to the generalization of the regulation project in the model comprise the position of the regulation pool, the scale of the regulation pool, the design of the regulation pool and the parameter setting of the regulation pool. The position of the regulation pool is determined according to geographical coordinates, the scale of the regulation pool is determined according to engineering planning, the capacity of the regulation pool is generally designated, the design of the regulation pool mainly refers to the shape, the regulation pool can be in regular shapes such as trapezoid and rectangle, and can also be in a complex shape of a polygonal structure, and the parameter setting of the regulation pool comprises the height of a water outlet of the regulation pool, the height of a pipe network port connected with the regulation pool and the like. The regulation and storage tank is mainly generalized in an SWMM model, one regulation and storage tank corresponds to one outlet boundary, namely an inflow boundary in an EFDC, the outlet boundary of the regulation and storage tank is generally unfixed, changes along with rainfall, and the boundary water quantity and the boundary water quality are 0 when the rainfall does not fall.

And S105, constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented.

Specifically, the second geographic data is used as a driver, the adjusted SWMM model is re-calibrated, the data output by the adjusted SWMM model is used as the driver of the EFDC model, the second coupling of the SWMM model and the EFDC model is completed, and the second coupling model of the SWMM and the EFDC model is generated. And after the second coupling model of the SWMM and the EFDC is generated, the model automatically outputs second output data, wherein the second output data comprises water quality and water quantity data which change along with time after the regulation and storage engineering is implemented.

And S106, evaluating the environmental effect of the regulation and storage project according to the first output data, the second output data and the project investment data. Specifically, the first output data comprises data of water quality and water quantity before the implementation of the storage engineering, the second output data comprises data of water quality and water quantity after the implementation of the storage engineering, and according to the data of water quality and water quantity before and after the implementation of the storage engineering and the engineering investment data, the water quality concentration change rate, the load flux change amount and the standard reaching rate can be calculated, the cost-effectiveness ratio based on the water quality change and the like, and the environmental effect of the storage engineering is evaluated.

The regulating and storing engineering environmental effect evaluation method based on the SWMM and EFDC coupling model provided by the embodiment of the invention forms the SWMM and EFDC coupling model by embedding the network management hydrological model (SWMM) in the traditional riverway hydrodynamic water quality model (EFDC), evaluates the regulating and storing engineering environmental effect, and can comprehensively consider the integrity and systematicness of a basin due to the fact that the SWMM model considers the urban rainfall runoff (urban non-point source pollution), comprehensively consider the conditions of terrain, pipe network, hydrology, meteorology, water quality and the like, and generally plan and analyze the influence of the non-point source pollution generated by rainfall runoff on the water quality section standard when evaluating the regulating and storing engineering environmental effect through the SWMM and EFDC coupling model, and for the regulating and storing engineering, the regulating and storing engineering is generalized to the SWMM model as a variation value rather than to the EFMM model as a normal value, and the influence of the rainfall variation process on the regulating and storing engineering environmental effect is considered, and when the storage regulation project is generalized to enter the SWMM, the position, the scale and the like of the storage regulation project are considered, so that the evaluation on the environmental effect of the storage regulation project is more accurate.

In an optional embodiment, the SWMM model includes a pipe network system, and the step S104 of adjusting the SWMM model according to the storage engineering position, scale, and catchment area data specifically includes: the method comprises the steps that storage projects are used as nodes to enter a pipe network system in a generalized mode according to storage project positions; converting the node into a regulation pool and converting a pipeline behind the regulation pool into an orifice; and adjusting the pipe network system according to the catchment area data, the storage pool and the orifice of the storage engineering.

Specifically, as shown in fig. 2, the position of the storage tank may be generalized to enter the SWMM pipe network system in the form of a node, and then the node is converted into the storage tank in the SWMM model, and the orifice of the pipeline behind the storage tank is set while the storage tank is generalized, and the orifice of the storage tank outflow is set at the top end of the storage tank. The evaluation of the storage engineering is based on the established SWMM model, so that the SWMM model does not consider the storage tank before the storage tank is set, and the pipe network system and the catchment area of the original SWMM model need to be modified before the evaluation is carried out. According to the scale and the field condition of the storage regulation project, the shape and the size of the storage regulation pool can be designed, and the storage regulation pool can be set into a regular shape, such as a rectangle, a trapezoid and the like, or an irregular shape in the model. In the SWMM model, the parameters affecting the normal operation of the storage tank include parameters such as the elevation of the storage tank, the maximum depth and the elevation of an orifice. Since the storage tank is generalized in the SWMM model, its drain is directly input to the EFDC grid for simulation, as with the other SWMM outlets.

The method comprises the steps of adjusting the SWMM model according to the position, scale and catchment area data of the storage engineering, enabling the storage engineering to enter the SWMM model in a generalized mode, and adjusting a pipe network system in the SWMM model, so that a more reasonable pipe network system is obtained, the influence of the change process of rainfall runoff on the environmental effect of the storage engineering is considered, and finally when the environmental effect of the storage engineering is evaluated, the evaluation result is more accurate.

In an optional embodiment, adjusting the pipe network system according to the catchment area data, the storage pool and the orifice of the storage engineering includes: dividing a catchment area into independent areas in a pipe network system according to catchment area data of the storage pool; and adjusting the pipe network trend and boundary conditions of the catchment area according to the positions and orifices of the catchment area and the regulation and storage pool. Specifically, the boundary conditions refer to the outlet position of the regulation pool and the water quality and water quantity data of the outlet. According to the catchment area of the storage tank, the partial area is separated out in the original SWMM model, a pipe network system is reset, wherein the pipe network system comprises the pipe network trend, the storage tank position, the model outlet and the like, and the detailed operation is shown in figure 3. As can be seen from fig. 3, according to the catchment area data of the storage tank, the catchment area of the storage tank is independently taken out from the pipe network system in the pipe network system, other catchment areas in the pipe network system keep the original pipe network trend and the outlet position, and the catchment area of the storage tank resets the pipe network trend and the outlet position according to the position and the orifice of the storage tank, so that the pipe network system is adjusted.

In the embodiment of the invention, the catchment area of the storage engineering is divided into the independent areas from the pipe network system, so that the division of the pipe network is closer to reality, and the result of the environmental effect evaluation of the storage engineering can be more accurate.

In an optional embodiment, in step S106, the evaluating the environmental effect of the storage engineering according to the first output data, the second output data and the engineering investment data specifically includes: obtaining a first water quality index concentration and a first water quantity of a section to be examined according to the first output data and a preset water quality index, wherein the section to be examined is a downstream outlet section of a river channel in a research area, a key focus section or a water quality assessment section; obtaining a second water quality index concentration, a second water quantity, the number of days for reaching the water quality index standard and the total number of days for simulating the water quality index of the section to be examined according to the second output data and the preset water quality index; calculating the change rate of the water quality concentration, the change amount of the load flux, the standard reaching rate and the cost-efficiency ratio based on the water quality according to the first water quality index concentration, the first water quantity, the second water quality index concentration, the second water quantity, the standard reaching days of the water quality index, the total simulation days of the water quality index and the engineering investment data; and evaluating the environmental effect of the regulation and storage project according to the water quality concentration change rate, the load flux change amount, the standard reaching rate and the water quality-based cost-effectiveness ratio.

Specifically, evaluating environmental effects of the regulatory project includes: (1) determining an examination section and water quality change; according to the engineering evaluation requirements, a section with important attention or an assessment section is selected, such as a downstream outlet section of a riverway in a research area and a section with important attention on water qualityAnd all levels of water quality assessment sections and the like, wherein common indexes for representing water quality conditions such as Chemical Oxygen Demand (COD) and ammonia Nitrogen (NH) can be selected as water quality indexes₄ ⁺-N), Total Phosphorus (TP), and the like. (2) Determining an index of engineering effect evaluation; the indexes of the engineering effect evaluation comprise a water quality concentration change rate, a load flux change amount, a standard reaching rate and a cost-effectiveness ratio based on water quality change. The water quality concentration change rate mainly represents the water quality concentration reduction degree before and after the engineering, the load flux change mainly represents the load change condition under the combined action of water quantity and water quality before and after the engineering, the change is a positive value and represents that the pollution load is increased after the engineering, otherwise, the pollution load is reduced. The standard reaching rate is calculated according to the standard III or IV in the standard GB 3838-2002, the cost-effectiveness ratio based on water quality change is determined according to the water quality change and the corresponding project investment, and the operation effect of the project is evaluated from the economic perspective. (3) Calculating an evaluation index; according to the determined assessment section and the water quality index, the concentration and water quantity data of the water quality index of the assessment section before and after the engineering is implemented, the simulation days after the engineering is implemented and the days after the water quality index concentration reaches the standard can be obtained from the first output data and the second output data, and then according to the engineering investment data and a preset calculation formula, the water quality concentration change rate, the load flux change amount, the standard reaching rate and the cost-effectiveness ratio based on the water quality can be calculated, so that the environmental effect of the storage engineering is assessed.

The embodiment of the invention establishes an environmental effect evaluation index framework of the storage engineering, wherein the cost-to-efficiency ratio based on water quality is innovatively provided as an index, and the addition of the index can provide guidance for the investment of the engineering. The change of water quality can be simulated under different engineering conditions or at different stages of engineering, and the respective cost-to-efficiency ratio is analyzed in combination with corresponding investment, so that the best effect achieved by the minimum investment can be determined.

In alternative embodiments, the water quality concentration change rate, the load flux change amount, the achievement rate, and the water quality-based cost-to-benefit ratio may be calculated by the following formulas, respectively:

W＝C_t*Q_t-C₀*Q₀(2)

In an alternative embodiment, step S102, constructing a SWMM and EFDC first coupling model according to the first geographic data, the second geographic data, the third geographic data and the fourth geographic data includes:

constructing an SWMM model according to the first geographic data; specifically, after performing format processing on collected land utilization data, DEM data, rainfall site positions and other basic data, dividing sub-catchment areas and constructing an SWMM model. The method for processing the formats of the basic data such as pipe network data, land utilization data, DEM data, rainfall site positions and the like comprises the following steps: the ArcGIS is used for generalizing pipe networks and water systems, cutting and distributing land utilization and the like.

Obtaining output data of the runoff water quality and the water quantity of the pipe network of the research area according to the second geographic data and the SWMM model; specifically, the collected rainfall and the corresponding observation time sequence, the evaporation capacity in the research area and the corresponding observation time sequence are processed into a format which can be identified by the SWMM model, and then the SWMM model is input to be used as the drive of the SWMM model, the parameters of the SWMM model are calibrated, and output data of the runoff water quality and the water quantity of the pipe network of the research area are obtained. The calibrated parameters comprise pipeline roughness, the characteristic width of the sub catchment area, a water impermeability runoff coefficient, a water permeability runoff coefficient, a water impermeability depression water storage capacity, a water permeability depression water storage capacity, a sub catchment area Manning coefficient, a pollutant accumulation index coefficient, a pollutant scouring index coefficient and the like.

Constructing an EFDC model according to the third geographic data and the fourth geographic data; specifically, after formatting collected research area water system distribution, relevant data (position, sewage discharge flow and sewage discharge concentration) of a research area sewage treatment plant, relevant data (sewage discharge position, sewage discharge flow and sewage discharge concentration) of a research area sewage discharge outlet, position of a research area hydrological station, position of a water quality monitoring station, river terrain data, river inflow water flow sequence data of historical monitoring or field monitoring of the research area river hydrological station and river inflow water background concentration sequence data of historical monitoring or field monitoring of the water quality monitoring station, an EFDC model is constructed.

And coupling the SWMM model and the EFDC model according to the output data of the runoff water quality and the water quantity of the pipe network of the research area to generate a first coupling model of SWMM and EFDC. Specifically, water quality and water quantity data output by the SWMM model are used as boundaries of land runoff and surface sources of the EFDC model, input into the EFDC model, used as driving of the EFDC model, and used for calibrating parameters of the EFDC model, completing coupling of the SWMM model and the EFDC model, generating a first coupling model of the SWMM and the EFDC, and outputting first output data of water quality and water quantity changing along with time. The parameters to be calibrated include the roughness of the river channel, the degradation coefficient of pollutants and the like.

The SWMM model and the EFDC model are respectively constructed, the output data of the SWMM model is used as the input data of the EFDC model, the SWMM model and the EFDC model are coupled and used for simulating the water environment in the river channel, because the SWMM model can obtain the output data of the water quality and the water quantity of the pipe network runoff of the research area through the first geographic data representing the pipe network runoff of the research area and the second geographic data representing the pipe network parameter of the research area, therefore, the urban non-point source process can be simulated, the output data of the SWMM model is used as the input data of the EFDC model and is used as the non-point source boundary of the EFDC model, the defect that the urban non-point source is not considered thoroughly in the hydrodynamic water quality model can be overcome, therefore, the water yield-hydrodynamic force-water quality simulation of point-surface source 'water-land integration' in plain urban areas can be effectively supported, and the simulation analysis of the water environment effect under the dual influences of natural conditions and human activities is realized. In the embodiment of the invention, the SWMM model divides the drainage basin into a plurality of control units (sub-catchment areas), each control unit can generate non-point source pollution by rainfall runoff scouring, and from the pollution treatment perspective, reference can be provided for implementing refined space management and control based on refined control units, so that the accuracy of the SWMM traditional model is further improved.

The method for evaluating environmental effects of regulation engineering based on the SWMM and EFDC coupling model according to the embodiment of the present invention is described in detail with reference to a specific embodiment.

Now, the water environment treatment (as shown in fig. 4) in a certain urban area is taken as a case, and the Chemical Oxygen Demand (COD) of a typical pollutant is taken as a water quality index to carry out the effect evaluation of the regulation and storage engineering.

Basic data collection processing

The collected case zone basic data comprises four types of spatial data, pollution data, hydrological data and meteorological data, and the collection results are shown in table 1:

TABLE 1

TABLE 2

TABLE 3

Serial number of sewage draining outlet	COD(mg/L)	Amount of water (m)³/d)
			P1	79.76	900
P2	126.4	500
			P3	316	100
P4	39.13	100
			P5	143	1000
P6	191.1	2500
			P7	210.7	1000
P8	139.9	2500
			P9	23.515	2300
P10	194.63	1000
			P11	39.13	200
P12	37.62	200
			P13	183.6	50
P14	84.28	144
			P15	132.93	2000
P16	46.65	50
			P17	46.65	150
P18	64.71	100
			P19	84.28	100
P20	90.2	500
			P21	33.01	2000

From the case area water system distribution and the land use data, a case area water system and land use distribution map can be formed, as shown in fig. 4. And forming a point bitmap of each element of the case area according to the water system distribution, the sewage outlet position, the assessment section position, the sewage treatment plant position, the rainfall station position, the flow monitoring station position, the storage tank position and the soil type data of the case area, as shown in fig. 5. From the digital elevation DEM data, a case zone DEM digital elevation map can be formed, as shown in fig. 6. A schematic diagram of a large cross section of the river terrain in the case zone can be formed according to the river terrain data, as shown in fig. 7. A rainfall daily scale histogram of the rainfall station in the case zone can be formed from the rainfall data, as shown in fig. 8.

(II) first coupling model construction of SWMM and EFDC

(1) SWMM model construction

ArcGIS is utilized to generalize the boundary of the research area range, Digital Elevation Model (DEM) data, rainfall station coordinate position, evaporation station coordinate position, land utilization data, soil type data, river channel assessment section position and the like into a pipe network, a sub-catchment area and a water outlet, and then SWMM software is introduced into the pipe network, the sub-catchment area and the water outlet to form an SWMM model framework, as shown in FIG. 9. Setting the length and the pipe diameter of a pipe network and the roughness of a pipeline, defining the area, the gradient and the water collection node of a sub-water collection area, the characteristic width, the water impermeability runoff coefficient, the water permeability runoff coefficient, the water impermeability depression water storage capacity, the water permeability depression water storage capacity, the Manning coefficient of the sub-water collection area and the like, finishing parameter calibration and model verification of an SWMM model by using rainfall data of a rainfall station as driving conditions, and providing runoff and surface source boundaries for an EFDC river hydrodynamic water quality model by the water quantity and the water quality output by a model outlet.

(2) EFDC model building

The method comprises the steps of carrying out grid division on a watershed water system, comprehensively considering solving efficiency of a model, irregularity of a calculation area, an actually measured terrain data range and grid required precision requirements in a grid arrangement process, and adopting a high-resolution Cartesian grid.

(3) SWMM and EFDC model coupling and calibration verification

And generating a river channel digital model based on a river channel section extracted from the terrain, generalizing the river channel and setting an output boundary, inputting the flow and water quality boundary (time sequence or annual average constant) of each water system in the case area and the runoff and surface source boundary output by the SWMM as driving conditions of the EFDC model, completing the coupling of the SWMM model and the EFDC model, and generating a first coupling model of the SWMM and the EFDC. The simulation rate results of the first coupling model are shown in fig. 10-11.

(III) generalization of storage regulation engineering

(1) Generalized concrete operation of storage engineering

(1) Regulating the position (x, y) and size of the reservoir

According to the data collection situation, the regulation pool construction situation of the case zone and the SWMM model outlet before the regulation pool is set are shown in FIG. 12, and the scale of each regulation pool is shown in Table 4, wherein the outlets F21, F22 and F24 are located outside the flow area.

TABLE 4

Name (R)	Code number	Construction volume (m)³)
			No. 4 regulation pool	SU4	4000
No. 5 regulation pool	SU5	4000
			No. 7 regulation pool	SU7	1500

(2) Pipe network and catchment area modification

The modification of pipe network and catchment area mainly includes three steps, firstly, modifying sub-catchment area, according to the catchment range defined by planning cutting or combining the catchment area of correspondent regulation and storage pool from original sub-catchment area, secondly, according to the position of regulation and storage pool, modifying pipe network trend and catchment node on the basis of original pipe network, finally setting outlet of regulation and storage pool. See fig. 13-15 for the modification of the pipe network and the catchment area of the storage tanks SU4, SU5 and SU 7.

Before the regulation pools SU4 and SU5 are modified: in the primary network system, rainfall runoff produced in the sub-catchment area S60 enters the catchment node 143, S16 and S53 enter the

catchment nodes

149 and 157 respectively, then enter the overflow node 156, and finally are discharged into the river channel together through the water discharge port F6. As shown in fig. 13.

After the regulation pool SU4 is modified: newly adding a pipe network and a water collection node 397, changing the original water collection node 146 into an overflow node, re-collecting rainfall runoff which is originally generated by S60 and is collected into the node 146 into the node 397, discharging the rainfall runoff into a No. 4 regulation pool (SU4) through the water collection node 397, and finally discharging the rainfall runoff into a river channel through a newly added water discharge port F-SU 4; as shown in fig. 14.

After the regulation pool SU5 is modified: modifying the positions of the pipe network

water collection nodes

149 and 157, newly adding the pipe network water collection node 398, and collecting rainfall runoff generated by the sub water collection areas S16 and S53 into the water collection node 398 through the

water collection nodes

149 and 157 respectively, then discharging into the No. 5 regulation pool (SU5), and finally discharging into a river channel through a newly added water discharge port F-SU 5; as shown in fig. 14.

Before and after modification of the regulation pool SU 7: before modification, rainfall runoff generated by the sub-catchment area S96 enters a catchment node 297 and is discharged into a river channel through a water discharge port F17; after modification, a new water collection node 399 is added, the original water collection node 297 is changed into an overflow node, rainfall runoff which is generated originally by S96 and is collected into the node 297 is collected into the node 399 again, the rainfall runoff is discharged into a No. 7 regulation and storage pool (SU4) through the water collection node 399, and finally the rainfall runoff is discharged into a river channel through a newly added water discharge port F-SU 7; as shown in fig. 15.

(3) Design of regulation and storage pool

The shape and the size of the storage tank are designed according to the volume and the field conditions, the storage tank can be set to be in a regular shape such as a rectangle, a trapezoid and the like in a model, and can also be set to be in an irregular shape, and in this case, the storage tank is designed to be in a rectangle. The design is shown in Table 5.

TABLE 5

(4) Regulation pool parameter setting

In the SWMM model, the parameters affecting the normal operation of the storage tank include the elevation of the storage tank, the maximum depth, the elevation of the orifice, and the like, and the setting parameters of the storage tanks SU4, SU5, and SU7 are respectively shown in fig. 16 to 18.

(5) Setting of regulation pool boundary conditions

Since the storage tank is generalized in the SWMM model, its drain is directly input into the EFDC grid for simulation, as in the other SWMM outlets, as shown in fig. 19.

(IV) evaluation of effects of storage engineering

(1) Determining an assessment section: as shown in fig. 5;

(2) determining a water quality index: taking the Chemical Oxygen Demand (COD) of typical pollutants as a water quality index;

(3) evaluation index results: a second output data is obtained based on the constructed second coupling model of the SWMM and the EFDC, and the water quality change rate, the pollution load flux change amount, the standard reaching rate and the cost-effectiveness ratio obtained by calculation according to the formulas (1) to (4) are shown in table 6, and the water quality change before and after the engineering is shown in fig. 20.

TABLE 6

The analysis shows that the COD background concentration under the condition of no regulation project is 59.28mg/l, the COD concentration is reduced under the regulation project, and the analysis according to the water quantity and water quality data simulated by the sesame seed sluice shows that after the regulation project, the COD average concentration is reduced to 57.61mg/l, the concentration change rate is 2.8 percent, the pollution load change amount is-50.8 t, the standard reaching rate according to the IV type water standard is 0.3 percent, and the cost-efficiency ratio based on the water quality change is 0.017 mg/(L ten thousand yuan).

According to the simulation result, the construction of the storage tanks has a certain effect on water quality improvement, so that in the actual construction process of the engineering, the engineering optimization can be carried out by properly considering the increase of the number or scale of the storage tanks, and the optimal engineering benefit is achieved.

An embodiment of the present invention further provides an evaluation apparatus for environmental effect of regulation engineering based on SWMM and EFDC coupling models, as shown in fig. 21, including: the first acquiring unit 211 is configured to acquire first geographic data used for representing pipe network runoff of a research area, second geographic data used for representing pipe network parameters of the research area, third geographic data used for representing river channel distribution of the research area, and fourth geographic data used for representing hydrodynamic water quality of the river channel of the research area; for details, refer to the related description of step S101 in the above embodiment, and are not described herein again.

The first construction unit 212 is configured to construct an SWMM and EFDC first coupling model according to the first geographic data, the second geographic data, the third geographic data and the fourth geographic data, so as to obtain first output data used for representing water quality and water quantity before the regulation and storage project is implemented; for details, refer to the related description of step S102 in the above embodiment, and are not repeated herein.

A second obtaining unit 213, configured to obtain the location, scale, catchment area data, and project investment data of the storage project; for details, refer to the related description of step S103 in the above embodiment, and are not described herein again.

An adjusting unit 214, configured to adjust the SWMM model according to the storage engineering position, scale, and catchment area data; for details, refer to the related description of step S104 in the above embodiment, and are not described herein again.

A second construction unit 215, configured to construct a SWMM and EFDC second coupling model according to the adjusted SWMM model, so as to obtain second output data used for representing water quality and water amount after the storage and regulation project is implemented; for details, refer to the related description of step S105 in the above embodiment, and are not repeated herein.

And the evaluation unit 216 is used for evaluating the environmental effect of the regulation project according to the first output data, the second output data and the project investment data. For details, refer to the related description of step S106 in the above embodiment, and are not repeated herein.

The regulating and storing engineering environmental effect evaluation device based on the SWMM and EFDC coupling model provided by the embodiment of the invention forms the SWMM and EFDC coupling model by embedding the network management hydrological model (SWMM) in the traditional riverway hydrodynamic water quality model (EFDC), evaluates the regulating and storing engineering environmental effect, and can comprehensively consider the integrity and systematicness of a basin due to the fact that the SWMM model considers the urban rainfall runoff (urban non-point source pollution), comprehensively consider the conditions of terrain, pipe network, hydrology, meteorology, water quality and the like, and generally plan and analyze the influence of the non-point source pollution generated by rainfall runoff on the water quality section standard when evaluating the regulating and storing engineering environmental effect through the SWMM and EFDC coupling model, and for the regulating and storing engineering, the regulating and storing engineering is generalized to the SWMM model as a variation value rather than to the EFMM model as a normal value, and the influence of the rainfall variation process on the regulating and storing engineering environmental effect is considered, and when the storage regulation project is generalized to enter the SWMM, the position, the scale and the like of the storage regulation project are considered, so that the evaluation on the environmental effect of the storage regulation project is more accurate.

An embodiment of the present invention provides a computer device, including: at least one processor 221; and a memory 222 communicatively coupled to the at least one processor; fig. 22 illustrates an example of one processor 221.

The processor 221 and the memory 222 may be connected by a bus or other means, and the bus connection is illustrated as an example in the figure 221.

Processor 221 may be a Central Processing Unit (CPU). The Processor 221 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.

The memory 222, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the method for estimating environmental effects of storage engineering based on SWMM and EFDC coupling model in the embodiment of the present invention. The processor 221 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 222, that is, implements the storage engineering environmental effect evaluation method based on the SWMM and EFDC coupling model in the above method embodiments.

The memory 222 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 221, and the like. Further, the memory 222 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 222 may optionally include memory located remotely from the processor 221, which may be connected to the processor 221 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

One or more of the modules described above are stored in the memory 222, and when executed by the processor 221, perform the method for estimating environmental effects of storage engineering based on the SWMM and EFDC coupling model in the embodiment shown in fig. 1.

The details of the computer device can be understood with reference to the corresponding related descriptions and effects in the embodiment shown in fig. 1, and are not described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.

Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A regulation engineering environmental effect evaluation method based on SWMM and EFDC coupling model is characterized by comprising the following steps:

acquiring first geographic data for representing the runoff of a pipe network of a research area, second geographic data for representing pipe network parameters of the research area, third geographic data for representing the distribution of a river channel of the research area and fourth geographic data for representing the hydrodynamic water quality of the river channel of the research area;

constructing a first coupling model of SWMM and EFDC according to the first geographical data, the second geographical data, the third geographical data and the fourth geographical data to obtain first output data for representing the water quality and the water quantity before the regulation and storage project is implemented;

acquiring the position and scale of a regulation and storage project, catchment area data and project investment data;

adjusting the SWMM model according to the position, scale and catchment area data of the regulation and storage project;

constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented;

and evaluating the environmental effect of the regulation and storage project according to the first output data, the second output data and the project investment data.

2. The method for evaluating the environmental effect of the storage regulation engineering based on the SWMM and EFDC coupling model as claimed in claim 1, wherein the SWMM model comprises a pipe network system,

the adjusting the SWMM model according to the storage regulation project position, scale and catchment area data comprises:

generalizing the storage project into the pipe network system as nodes according to the storage project position;

converting the node into a regulation pool and converting a pipeline behind the regulation pool into an orifice;

and adjusting the pipe network system according to the catchment area data of the regulation project, the regulation pool and the orifice.

3. The method for evaluating environmental effects of storage engineering based on SWMM and EFDC coupling model according to claim 2, wherein said adjusting said pipe network system according to catchment area data of said storage engineering, said storage tank and said orifice comprises:

dividing the catchment area into independent areas in the pipe network system according to the catchment area data of the storage tank;

and adjusting the pipe network trend and the boundary condition of the catchment area according to the catchment area, the position of the storage tank and the orifice.

4. The method for evaluating environmental effects of a storage regulation project based on SWMM and EFDC coupling model according to any one of claims 1-3, wherein the evaluating the environmental effects of the storage regulation project according to the first output data, the second output data and the project investment data comprises:

obtaining a first water quality index concentration and a first water quantity of a section to be examined according to the first output data and a preset water quality index, wherein the section to be examined is a downstream outlet section of a river channel in a research area, a focus attention section or a water quality examination section;

obtaining a second water quality index concentration, a second water quantity, a water quality index standard number of days and a water quality index simulation total number of days of the section to be examined according to the second output data and the preset water quality index;

calculating the change rate of the water quality concentration, the change amount of the load flux, the standard reaching rate and the cost-efficiency ratio based on the water quality according to the first water quality index concentration, the first water quantity, the second water quality index concentration, the second water quantity, the standard reaching days of the water quality index, the total simulation days of the water quality index and the engineering investment data;

and evaluating the environmental effect of the regulation and storage project according to the water quality concentration change rate, the load flux change amount, the standard reaching rate and the water quality-based cost-effectiveness ratio.

5. The method for evaluating the environmental effect of the regulation and storage engineering based on the SWMM and EFDC coupling model as claimed in claim 4, wherein the water quality concentration change rate, the load flux change amount, the standard reaching rate and the water quality-based cost-effectiveness ratio are calculated by the following formulas:

water concentration change rate k:

load flux variation W: w ═ C_t*Q_t-C₀*Q₀

Standard reaching rate S:

cost-to-benefit ratio based on water quality R:

6. The method for evaluating the environmental effect of the storage engineering based on the SWMM and EFDC coupling model of claim 1, wherein the building the first SWMM and EFDC coupling model according to the first geographic data, the second geographic data, the third geographic data and the fourth geographic data comprises:

constructing an SWMM model according to the first geographic data;

obtaining output data of the runoff water quality and the water quantity of the pipe network of the research area according to the second geographic data and the SWMM model;

constructing an EFDC model according to the third geographic data and the fourth geographic data;

and coupling the SWMM model and the EFDC model according to the output data of the runoff water quality and the water quantity of the pipe network of the research area to generate a first coupling model of SWMM and EFDC.

7. An apparatus for evaluating environmental effects of regulation engineering based on SWMM and EFDC coupling model, comprising:

the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring first geographic data for representing the runoff of a pipe network of a research area, second geographic data for representing pipe network parameters of the research area, third geographic data for representing the distribution of a river channel of the research area and fourth geographic data for representing the hydrodynamic water quality of the river channel of the research area;

the first construction unit is used for constructing a SWMM and EFDC first coupling model according to the first geographical data, the second geographical data, the third geographical data and the fourth geographical data to obtain first output data used for representing water quality and water quantity before the regulation and storage project is implemented;

the second acquisition unit is used for acquiring the position and scale of the storage engineering, catchment area data and engineering investment data;

the adjusting unit is used for adjusting the SWMM model according to the position, scale and catchment area data of the regulation and storage project;

the second construction unit is used for constructing a SWMM and EFDC second coupling model according to the adjusted SWMM model to obtain second output data for representing the water quality and water quantity after the regulation and storage project is implemented;

and the evaluation unit is used for evaluating the environmental effect of the regulation project according to the first output data, the second output data and the project investment data.

8. A computer device, comprising:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method for estimating environmental effects of a regulation engineering based on SWMM and EFDC coupling model according to any one of claims 1 to 6.

9. A computer-readable storage medium storing computer instructions for causing a computer to perform the method for SWMM and EFDC coupling model-based assessment of environmental effects of regulatory engineering of any of claims 1-6.