WO2021180100A1 - 基于swmm与efdc耦合模型的调蓄工程环境效应评估方法及装置 - Google Patents
基于swmm与efdc耦合模型的调蓄工程环境效应评估方法及装置 Download PDFInfo
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Definitions
- the invention relates to the field of water environment treatment engineering, in particular to a method and device for evaluating the environmental effects of a regulation and storage engineering based on a SWMM and EFDC coupling model.
- the regulation and storage project is a common method of urban water environment management, especially non-point source pollution control.
- non-point sources are directly imported into the river with rainfall and runoff, which will increase the pollution load of the river and worsen the water quality, which will affect the water quality section to reach the standard.
- a storage tank of a certain size can be built in the rainwater pipe network system to collect rainfall runoff in a certain size area. From the perspective of water conservancy, the effect of staggering the flood peaks can be achieved, and from the perspective of water quality improvement, the initial rainwater with a large pollution load can be accommodated, and the impact of the initial rainwater on the water quality of the river can be reduced.
- the main methods used to assess the environmental effects of storage projects include:
- the post-effect evaluation method based on data analysis mainly evaluates the effect of the project operation by analyzing the degree of water quality change after the project is implemented, but this method mainly relies on the measured data after the actual operation of the project, and it cannot be completed during the project planning period. Pre-judgment of the effect after operation has great limitations in guiding the formulation of preliminary project planning schemes.
- the pollution reduction effect evaluation method based on load calculation mainly analyzes the reduction effect after the implementation of the project from the perspective of total pollutant control, but does not consider the response relationship between pollution reduction and water quality, and cannot scientifically evaluate the engineering design plan (location, It is difficult to provide technical support for the formulation of a treatment project with water quality goals as the core of the water environment quality improvement effect after implementation.
- the urban river hydrodynamic water quality model simulation is used as the method, and the water quality change before and after the project is used as the boundary condition to simulate and analyze the improvement effect of the water environment.
- this method only considers the pollution discharge and The water environment response process in the river channel does not fully consider the impact of the rain-runoff pollution input from the source of the river channel on the water environment governance effect under the influence of the rainfall runoff process under different seasonal conditions.
- the factors used in the evaluation process are relatively one-sided, and the impact of urban non-point source pollution input on the water environment is not considered, and the impact of the location and scale of the project on the environmental effects of the storage project is not considered, and the project is not considered.
- the impact of the change process of rainfall and runoff on the environmental effects of the storage project during the implementation process may easily lead to inaccurate assessment results.
- embodiments of the present invention provide a method and device for evaluating the environmental effect of a storage project based on a coupling model of SWMM and EFDC .
- an embodiment of the present invention provides a method for evaluating the environmental effects of a regulation and storage project based on a coupling model of SWMM and EFDC, including: acquiring first geographic data used to characterize the runoff of the pipe network in the study area, and characterizing the pipe network in the study area The second geographic data of the parameter, the third geographic data that characterizes the distribution of rivers in the study area, and the fourth geographic data that characterizes the hydrodynamic water quality of the river in the study area; according to the first geographic data, the second geographic data, the third geographic data, and the fourth geographic data
- the data constructs the first coupling model of SWMM and EFDC to obtain the first output data used to characterize the water quality and water volume before the implementation of the regulation and storage project; obtain the location, scale and catchment area data of the regulation and storage project, and project investment data; according to the regulation and storage project Adjust the SWMM model based on the location, scale and catchment area data; construct the second coupling model of SWMM and EFDC according to the adjusted SWMM
- the SWMM model includes a pipe network system, and adjusts the SWMM model according to the location, scale and catchment area data of the storage project, including: generalizing the storage project as a node into the pipe network system according to the location of the storage project; converting the node Turn the storage tank into a storage tank and convert the pipeline after the storage tank into an orifice; adjust the pipe network system according to the catchment area data, the storage tank and the orifice of the storage project.
- adjusting the pipe network system according to the water catchment area data, the storage tank and the orifice of the regulation and storage project including: according to the water catchment area data of the storage tank, divide the water catchment area in the pipe network system into Independent area; adjust the direction of the pipe network and boundary conditions of the catchment area according to the catchment area, the location of the storage tank and the orifice.
- evaluating the environmental effects of the storage project according to the first output data, the second output data, and the project investment data includes: obtaining the first water quality index of the section to be assessed according to the first output data and the preset water quality index Concentration, the first water volume, the section to be assessed is the downstream exit section of the river in the study area, the focus section or the water quality assessment section; according to the second output data and the preset water quality indicators, the second water quality index concentration, second water quantity, Water quality indicator compliance days and total water quality indicator simulation days; calculate water quality concentration changes based on the first water quality indicator concentration, first water volume, second water quality indicator concentration, second water volume, water quality indicator compliance days, total water quality indicator simulation days, and project investment data Rate, load flux change, compliance rate, and water quality-based cost-effectiveness ratio; according to the water quality concentration change rate, load flux change, compliance rate, and water quality-based cost-effectiveness ratio to evaluate the environmental effects of storage projects.
- k represents the rate of change of water quality concentration
- C 0 and C t respectively represent the water quality index concentration (mg/l) before and after the regulation and storage project
- W represents the change in load flux
- Q 0 , Q t respectively represent the regulation and storage project Front and rear water volume (m 3 /s)
- S represents the rate of compliance
- D S and D T represent the number of days after the regulation and storage project reaches the standard and the total number of simulated days
- R represents the cost-effectiveness ratio based on water quality
- M represents the project investment (Ten thousand yuan).
- constructing a first coupling model of SWMM and EFDC based on the first geographic data, the second geographic data, the third geographic data, and the fourth geographic data includes: constructing the SWMM model based on the first geographic data; constructing the SWMM model based on the second geographic data and The SWMM model obtains the output data of the water quality and water volume of the pipe network in the study area; constructs the EFDC model based on the third and fourth geographic data; couples the SWMM model and the EFDC model according to the output data of the water quality and water volume of the pipe network in the study area , Generate the first coupling model of SWMM and EFDC.
- an embodiment of the present invention provides a device for evaluating the environmental effects of a regulation and storage project based on a coupling model of SWMM and EFDC.
- Data the second geographic data that characterizes the pipeline network parameters in the study area, the third geographic data that characterizes the distribution of rivers in the study area, and the fourth geographic data that characterizes the hydrodynamic water quality of the river in the study area;
- the first building unit is used to base on the first geographic data .
- the second geographic data, the third geographic data, and the fourth geographic data construct the first coupling model of SWMM and EFDC to obtain the first output data used to characterize the water quality and water volume before the implementation of the storage project;
- the second acquisition unit is used for Obtain the location, scale, catchment area data, and project investment data of the storage project; adjustment unit used to adjust the SWMM model according to the location, scale, and catchment area data of the storage project;
- the second construction unit used to adjust the SWMM after adjustment
- the model constructs the second coupling model of SWMM and
- an embodiment of the present invention provides a computer device, including: at least one processor; and a memory communicatively connected with the at least one processor; wherein the memory stores instructions that can be executed by one processor, and the instructions are At least one processor executes, so that at least one processor executes the method for evaluating the environmental effects of the regulation and storage project based on the coupling model of SWMM and EFDC as in the first aspect or any implementation of the first aspect.
- an embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions are used to cause a computer to execute the SWMM and EFDC coupling model to assess the environmental effects of regulation and storage projects.
- the method and device for evaluating the environmental effects of a regulation and storage project based on the coupling model of SWMM and EFDC form a coupling model of SWMM and EFDC by embedding a network management hydrological model (SWMM) in a traditional river hydrodynamic water quality model (EFDC),
- SWMM network management hydrological model
- EFDC river hydrodynamic water quality model
- the storage project When assessing the environmental effects of storage projects through the coupling model of SWMM and EFDC, the impact of non-point source pollution caused by rainfall runoff on the compliance of water quality cross-sections can be analyzed in a coordinated manner.
- the storage project will be As a change value generalized into the SWMM model, rather than as a constant generalization in the EFDC model, it considers the impact of the change process of rainfall and runoff on the environmental effects of the regulation and storage project, and generalizes the regulation and storage project into the SWMM When considering the location and scale of the regulation and storage project, the assessment of the environmental effects of the regulation and storage project is more accurate.
- Fig. 1 shows a schematic flow chart of a method for evaluating the environmental effects of a regulation and storage project based on a coupling model of SWMM and EFDC according to an embodiment of the present invention
- Figure 2 shows a schematic diagram of node and pipeline form transformation in the generalization of a storage tank according to an embodiment of the present invention
- Figure 3 shows a modified schematic diagram of a pipe network system according to an embodiment of the present invention
- Figure 4 shows a water system and land use distribution map in a case area of an embodiment of the present invention
- FIG. 5 shows a bitmap of each element in a case area according to an embodiment of the present invention
- FIG. 6 shows a DEM digital elevation map of a case area according to an embodiment of the present invention
- FIG. 7 shows a schematic diagram of a large cross-section of partial river topography in a case area of an embodiment of the present invention
- Fig. 8 shows a daily-scale histogram of rainfall at a rainfall station in a case area according to an embodiment of the present invention
- FIG. 9 shows a schematic diagram of a SWMM model skeleton diagram of a case area of an embodiment of the present invention.
- FIG. 10 shows the flow rate calibration result of the first coupling model in the case area of the embodiment of the present invention
- FIG. 11 shows the water quality calibration result of the first coupling model in the case area of the embodiment of the present invention
- Figure 12 shows a case area regulating storage tank and a SWMM outlet distribution diagram before setting the regulating storage tank in an embodiment of the present invention
- FIG. 13 shows a diagram of the original pipe network system involving SU4 and SU5 in the case area of an embodiment of the present invention
- Figure 14 shows a partial view of the modified pipe network involving SU4 and SU5 in the case area of the embodiment of the present invention
- FIG. 15 shows the original pipe network diagram and the modified pipe network diagram related to SU7 in the case area of the embodiment of the present invention
- FIG. 16 shows a schematic diagram of parameter setting of No. 4 storage tank in the case area of an embodiment of the present invention
- FIG. 17 shows a schematic diagram of parameter setting of No. 5 storage tank in the case area of an embodiment of the present invention.
- FIG. 18 shows a schematic diagram of parameter setting of No. 7 storage tank in the case area of an embodiment of the present invention.
- FIG. 19 shows the boundary generalized input of the storage tank in the case area of the embodiment of the present invention.
- Figure 20 shows the COD concentration change trend diagram of the assessment section before and after the regulation and storage project of the embodiment of the present invention
- FIG. 21 shows a schematic structural diagram of a device for evaluating the environmental effects of a regulation and storage project based on a coupling model of SWMM and EFDC according to an embodiment of the present invention
- FIG. 22 shows a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention.
- Relative terms eg “under” or “above” or “upper” or “lower” or “horizontal” or “vertical” may be used herein to describe an element as illustrated in the figure The relationship between a layer or area and another element, layer or area. It will be understood that in addition to the orientation depicted in the figures, these terms and those discussed above are also intended to include different orientations of the device.
- the embodiment of the present invention provides a method for evaluating the environmental effects of a regulation and storage project based on a coupling model of SWMM and EFDC, including:
- the first geographic data that characterizes the pipe network runoff in the study area includes: study area boundary, Digital Elevation Model (DEM) data, rainfall station coordinate position, evaporation station coordinate position, land use data, soil type data, river assessment section Location etc.
- the second geographic data that characterizes the pipeline network parameters of the study area includes: rainfall monitored by meteorological stations and corresponding observation time series, evaporation and corresponding observation time series.
- the third geographic data that characterizes the distribution of the river in the study area includes: the distribution of the water system in the study area, the location of the hydrological station in the study area, the location of the water quality monitoring station, and the topographic data of the river.
- the fourth geographic data that characterizes the hydrodynamic water quality of the river in the study area includes: the fourth geographic data includes: the location of the sewage treatment plant in the study area, the discharge flow, the sewage concentration, the location of the sewage outlet in the study area, the discharge flow, the sewage concentration, and the river course in the study area Historical monitoring of the hydrological station or on-site monitoring of the river inflow sequence data and historical monitoring of the water quality monitoring station or on-site monitoring of the background concentration of the river.
- S102 Construct a first coupling model of SWMM and EFDC according to the first geographic data, the second geographic data, the third geographic data, and the fourth geographic data, and obtain the first output data used to characterize the water quality and water volume before the implementation of the storage project.
- the SWMM (storm water management model) model is a storm and flood management model.
- the EFDC (The Environmental Fluid Dynamics Code) model is an environmental fluid dynamics model.
- the first geographic data can be used to build the SWMM model
- the third geographic data and the fourth geographic data are used to build the EFDC model
- the second geographic data is used as the driver to calibrate the SWMM model
- the output data of the SWMM model can be used as the driver of the EFDC model to complete
- the coupling of SWMM model and EFDC model generates the first coupling model of SWMM and EFDC.
- the model automatically outputs the first output data, which includes water quality and water volume data that change over time before the implementation of the regulation and storage project.
- the regulation and storage project is a common engineering measure for water environment governance, and this embodiment takes the regulation and storage project as the regulation and storage tank as an example for description.
- the general practice of the regulation and storage project is to set up an interception before the pipeline into the river to collect the initial rainwater in the regulation and storage tank, and the retained initial rain will settle in the regulation and storage tank.
- the water outlet pipe at the top of the storage tank is discharged into the river.
- the scouring runoff at the beginning of the rainfall will cause greater pollution to the river course. Setting up a storage tank before entering the river course will reduce the pollution load of the river course, and can alleviate the impact of flood peaks to a certain extent.
- the geographic location (x, y) of the storage tank can be determined.
- the scale of the storage tank (storage volume m 3 ), project investment data and water catchment area data can be determined .
- the rainwater and sewage pipelines will directly send rainwater and sewage into the sewage treatment plant for treatment, so the water quantity and quality after treatment are also discharged in accordance with the sewage treatment plant's standards.
- the sewage generated by rainfall runoff is directly discharged into the river through the rainwater pipe. Therefore, during the rainfall period, the water quality of this part of the water changes with the rainfall process, and is not discharged at a constant rate. Therefore, it is necessary to generalize the storage pool as a variable value in the SWMM model, rather than as a constant generalization in the EFDC model.
- the regulation and storage project can be generalized into the SWMM model, and the watershed area of the SWMM model can be modified according to the catchment area data of the regulation and storage project, and then the SWMM model can be adjusted.
- the main parameters involved in the generalization of the storage project in the model include the location of the storage tank, the scale of the storage tank, the design of the storage tank and the parameter setting of the storage tank.
- the location of the storage tank is determined according to geographic coordinates
- the scale of the storage tank is determined according to the project planning. Generally refers to the volume of the storage tank.
- the design of the storage tank is mainly a shape design, which can be trapezoidal, rectangular, and other regular shapes, or it can be The complex shape of the polygonal structure, the parameter setting of the storage tank includes the height of the outlet of the storage tank, the height of the pipe network port connected with the storage tank, etc.
- the storage tank is mainly generalized in the SWMM model.
- a storage tank corresponds to an outlet boundary, which is the inflow boundary in EFDC.
- the outlet boundary of the storage tank is generally not fixed, and changes with rainfall. When it does not rain
- the boundary water quantity and water quality are all 0.
- the water quality refers to common pollutants, such as COD.
- the model automatically outputs the second output data, including water quality and water volume data that change over time after the implementation of the regulation and storage project.
- the first output data includes water quality and water volume data before the implementation of the storage project
- the second output data includes water quality and water volume data after the implementation of the storage project.
- project investment data can calculate the water quality concentration change rate, load flux change, compliance rate, and evaluate the environmental effects of the storage project based on the cost-effectiveness ratio of the water quality change.
- the method for evaluating the environmental effects of a regulation and storage project based on the coupling model of SWMM and EFDC is achieved by embedding a network-managed hydrological model (SWMM) in the traditional river hydrodynamic water quality model (EFDC) to form a coupling model of SWMM and EFDC.
- SWMM network-managed hydrological model
- EFDC river hydrodynamic water quality model
- the environmental effects of the storage project are evaluated. Since the SWMM model considers urban rainfall runoff (urban non-point source pollution), the SWMM and EFDC coupling model comprehensively considers the integrity and systemicity of the watershed, and takes into account the topography, pipeline network, hydrology, and meteorology.
- the storage project When assessing the environmental effects of the storage project through the coupling model of SWMM and EFDC, it can analyze the impact of non-point source pollution caused by rainfall runoff on the compliance of the water quality section.
- the storage project For the storage project, the storage project is regarded as a change. The value is generalized into the SWMM model, rather than as a constant generalization.
- the EFDC model the impact of the change process of rainfall and runoff on the environmental effects of the regulation and storage project is considered, and when the regulation and storage project is generalized into the SWMM, Taking into account the location and scale of the storage project, the assessment of the environmental effects of the storage project is more accurate.
- the SWMM model includes a pipe network system.
- the SWMM model is adjusted according to the location, scale and catchment area data of the regulation and storage project, which specifically includes: taking the regulation and storage project as a node according to the location of the regulation and storage project Generalize into the pipe network system; convert the node into a storage tank and convert the pipeline after the storage tank into an orifice; adjust the pipeline network system according to the catchment area data, the storage tank and the orifice of the storage project.
- the position of the storage tank can be generalized into the SWMM pipe network system in the form of a node, and then the node can be converted into a storage tank in the SWMM model, and the storage tank can be generalized at the same time
- the orifice of the pipeline after the adjustment and storage tank is set, and the orifice for the outflow of the adjustment and storage tank is arranged at the top of the adjustment and storage tank.
- the evaluation of the regulation and storage project is based on the establishment of the SWMM model. Therefore, the SWMM model did not consider the regulation and storage tank before setting up the regulation and storage tank. Therefore, before carrying out the evaluation, it is necessary to review the pipe network system and catchment area of the original SWMM model. to modify.
- the shape and size of the storage tank can be designed.
- the storage tank can be set in a regular shape, such as a rectangle, a trapezoid, etc., or it can be set in an irregular shape.
- the parameters that affect the normal operation of the storage tank include the height of the storage tank, the maximum depth, and the elevation of the orifice. Since the storage tank is generalized in the SWMM model, its drainage outlet is the same as other outlets of the SWMM, directly input into the EFDC grid for simulation.
- Adjusting the SWMM model according to the location, scale and catchment area data of the storage project is to generalize the storage project into the SWMM model, and adjust the pipe network system in the SWMM model to obtain a more reasonable pipe network system, taking rainfall into account
- the impact of the change process of runoff on the environmental effects of the regulation and storage project can make the final assessment of the environmental effects of the regulation and storage project more accurate.
- adjusting the pipe network system according to the water catchment area data, the storage tank, and the orifice of the regulation and storage project includes: according to the water catchment area data of the regulation and storage tank, in the pipe network system
- the water area is divided into independent areas; the direction and boundary conditions of the pipe network of the water catchment area are adjusted according to the catchment area, the location of the storage tank and the orifice.
- the boundary conditions refer to the location of the outlet of the storage tank and the water quality and volume data at the outlet.
- the catchment area of the storage tank this part of the area was separated in the original SWMM model, and the pipe network system was reset, including the direction of the pipe network, the location of the storage tank, and the addition of model outlets.
- the catchment area of the regulation and storage project is divided into independent regions from the pipe network system, so that the division of the pipe network is closer to reality, and the result of the environmental effect assessment of the regulation and storage project can be more accurate.
- the aforementioned step S106 evaluating the environmental effects of the storage project according to the first output data, the second output data, and the project investment data, specifically includes: according to the first output data and the preset water quality The indicators obtain the first water quality index concentration and the first water volume of the section to be assessed.
- the section to be assessed is the downstream exit section of the river in the study area, the focus section or the water quality assessment section; according to the second output data and the preset water quality index, the section to be assessed is obtained
- the second water quality index concentration, the second water volume, the number of water quality index compliance days and the total number of water quality index simulation days; according to the first water quality index concentration, the first water volume, the second water quality index concentration, the second water volume, the water quality index compliance days, and the water quality index simulation Calculation of water quality concentration change rate, load flux change, compliance rate and cost-effectiveness ratio based on water quality based on total days and project investment data; according to water quality concentration change rate, load flux change, compliance rate, and cost-effectiveness ratio comparison based on water quality
- the environmental effects of the regulation and storage project are evaluated.
- the assessment of the environmental effects of the storage project includes: (1) Determining the assessment section and water quality changes; according to the project assessment requirements, select the focus section or the assessment section, such as the downstream exit section of the study area, and the focus section of the water quality.
- Water quality assessment sections at all levels, etc., water quality indicators can select common indicators that characterize water quality conditions, such as chemical oxygen demand (COD), ammonia nitrogen (NH 4 + -N), total phosphorus (TP), etc.
- COD chemical oxygen demand
- NH 4 + -N ammonia nitrogen
- TP total phosphorus
- the rate of change of water quality concentration mainly represents the degree of reduction of water quality concentration before and after the project
- the change of load flux mainly represents the change of load due to the combined action of water quantity and quality before and after the project.
- the change is positive, indicating that the pollution load after the project has increased, otherwise the pollution load Reduce.
- the compliance rate is mainly calculated according to the standards of Category III or Category IV in the "Surface Water Environmental Quality Standard GB3838-2002" to determine the number of compliance days before and after the project. Evaluate the operation effect of the project from an economic point of view.
- the water quality index concentration and water volume data of the evaluation section before and after the implementation of the project can be obtained from the first output data and the second output data, as well as the data after the implementation of the project.
- the number of simulated days, the number of days for the water quality index concentration to reach the standard, and then based on the project investment data and the preset calculation formula, the water quality concentration change rate, load flux change, compliance rate and water quality-based cost-effectiveness ratio can be calculated, and then the regulation and storage project To assess the environmental effects.
- the embodiment of the present invention establishes an indicator framework for evaluating the environmental effects of a storage project, in which a cost-effectiveness ratio based on water quality is innovatively proposed as an indicator, and the addition of this indicator can provide guidance for project investment. Under different project conditions or different stages of the project, the changes in water quality can be simulated, combined with the corresponding investment, and the respective cost-effectiveness ratios can be analyzed to determine the best effect that can be achieved with the minimum investment.
- the water quality concentration change rate, load flux change, compliance rate, and water quality-based cost-effectiveness ratio can be calculated by the following formulas:
- k represents the rate of change of water quality concentration
- C 0 and C t respectively represent the water quality index concentration (mg/l) before and after the regulation and storage project
- W represents the change in load flux
- Q 0 , Q t respectively represent the regulation and storage project Front and rear water volume (m 3 /s)
- S represents the rate of compliance
- D S and D T represent the number of days after the regulation and storage project reaches the standard and the total number of simulated days
- R represents the cost-effectiveness ratio based on water quality
- M represents the project investment (Ten thousand yuan).
- step S102 constructing a first coupling model of SWMM and EFDC according to the first geographic data, the second geographic data, the third geographic data, and the fourth geographic data includes:
- Construct a SWMM model based on the first geographic data specifically, format the collected land use data, DEM data, rainfall site location and other basic data, divide subcatchment areas, and build the SWMM model.
- the format processing of basic data such as pipe network data, land use data, DEM data, rainfall site location, etc. includes: using ArcGIS to generalize the pipe network and water system, cutting and distributing land use, etc.
- the output data of the water quality and volume of the pipe network in the study area are obtained; specifically, the collected rainfall and the corresponding observation time series, the evaporation in the study area and the corresponding observation time series are processed into the SWMM model
- the SWMM model as the driver of the SWMM model
- calibrate the parameters of the SWMM model and obtain the output data of the water quality and water volume of the pipe network in the study area.
- the calibrated parameters include pipeline roughness, characteristic width of subcatchment area, impermeable runoff coefficient, permeable runoff coefficient, impervious depression storage capacity, pervious depression storage capacity, subcatchment Manning coefficient, Pollutant accumulation index coefficient and pollutant erosion index coefficient, etc.
- the EFDC model based on the third geographic data and the fourth geographic data; specifically, the collected water system distribution in the study area, the relevant data of the sewage treatment plant in the study area (location, sewage flow, sewage concentration), and the relevant data of the sewage outlet in the study area (sewage discharge) Outlet location, sewage discharge flow, sewage concentration), the location of the hydrological station in the study area, the location of the water quality monitoring station, the topographic data of the river, the historical monitoring of the river hydrological station in the study area or the on-site monitoring of the river water flow sequence data and the water quality monitoring station
- the EFDC model is constructed after formatting and processing the historical monitoring or field monitoring of the background concentration sequence data of the river incoming water.
- the SWMM model and EFDC model are coupled according to the output data of runoff water quality and water volume of the pipeline network in the study area, and the first coupling model of SWMM and EFDC is generated.
- the water quality and water volume data output by the SWMM model are used as the boundary of the EFDC model land runoff and non-point source, and input to the EFDC model as the driver of the EFDC model to calibrate the parameters of the EFDC model and complete the coupling of the SWMM model and the EFDC model.
- the calibrated parameters include river roughness, pollutant degradation coefficient, etc.
- the SWMM model and the EFDC model By constructing the SWMM model and the EFDC model separately, using the output data of the SWMM model as the input data of the EFDC model, coupling the SWMM model and the EFDC model to simulate the water environment in the river, because the SWMM model can be used to characterize the study area
- the first geographic data of the pipe network runoff and the second geographic data representing the pipe network parameters of the study area obtain the output data of the water quality and quantity of the pipe network runoff in the study area, so that the urban non-point source process can be simulated, and the output data of the SWMM model is used as the EFDC model
- the input data of EFDC, as the non-point source boundary of the EFDC model can make up for the inadequate consideration of urban non-point sources in the hydrodynamic water quality model, which can effectively support the integration of point and non-point sources in plain urban areas-hydrodynamics -Water quality simulation, realizing simulation analysis of water environment effects under the dual influence of natural conditions and human activities.
- the SWMM model divides the watershed into many control units (subcatchments), and each control unit will generate non-point source pollution caused by rainfall runoff. From the perspective of pollution control, it can be based on detailed control The unit provides a reference for the implementation of refined space management and control, and further improves the accuracy of the traditional SWMM model.
- the typical pollutant chemical oxygen demand (COD) is used as the water quality indicator to carry out the effect evaluation of the regulation and storage project.
- the basic data collected in the case area includes four categories: spatial data, pollution data, hydrological data and meteorological data.
- the results of the collection are shown in Table 1:
- a water system and land use distribution map in the case area can be formed, as shown in Figure 4.
- a location map of each element in the case area can be formed, as shown in Figure 5.
- the DEM digital elevation map of the case area can be formed according to the digital elevation DEM data, as shown in Figure 6.
- a large cross-section schematic diagram of the river topography in the case area can be formed, as shown in Figure 7.
- a daily-scale histogram of rainfall at the rainfall station in the case area can be formed, as shown in Figure 8.
- SWMM model skeleton As shown in Figure 9.
- Set the length, diameter and roughness of the pipe network define the area, slope, catchment node and characteristic width of the subcatchment, impervious runoff coefficient, pervious runoff coefficient, impervious depression storage capacity , Permeable depression water storage, subcatchment Manning coefficient, etc., using rainfall data from rain gauge stations as driving conditions to complete the parameter calibration and model verification of the SWMM model.
- the water volume and water quality output from the model outlet are EFDC river hydrodynamics
- the water quality model provides runoff and non-point source boundaries.
- Grid the basin water system.
- the grid layout process comprehensively consider the solution efficiency of the model, the irregularity of the calculation area, the measured terrain data range and the accuracy requirements of the grid, and the high-resolution Cartesian grid is used for
- the grid length and width are basically the same, and the spatial distribution of the grid size is relatively uniform, ensuring the accuracy of hydrodynamic and water quality simulation.
- the construction of the regulating storage tank in the case area and the SWMM model exit before setting up the regulating storage tank are shown in Figure 12.
- the scale of each regulating storage tank is shown in Table 4, and the exits F21, F22, and F24 are located outside the basin.
- the modification of the pipe network and catchment area mainly involves three steps. The first is to modify the subcatchment area. According to the planning, the catchment area is cut or merged from the original subcatchment area to form the corresponding storage tank catchment area. Secondly, according to the location of the storage tank, modify the direction of the pipe network and the water catchment node on the basis of the original pipe network, and finally set the outlet of the storage tank. Refer to Figure 13 to Figure 15 for the modification of the pipe network and catchment area of the storage tanks SU4, SU5 and SU7.
- the storage tank can be set to a regular shape, such as rectangle, trapezoid, etc., or it can be set to an irregular shape.
- the storage tank All are designed to be rectangular.
- the design table is shown in Table 5.
- the parameters that affect the normal operation of the storage tank include the height of the storage tank, the maximum depth, and the elevation of the orifice.
- the setting parameters of the storage tanks SU4, SU5, and SU7 are shown in Figure 16 to Figure 18.
- the analysis shows that the COD background concentration under the condition of no regulation and storage project, the average concentration is 59.28mg/l. Under the regulation and storage project, the COD concentration decreases. According to the analysis of the water quantity and quality data simulated by the Shaobingzhuang gate, the average COD concentration is after regulation and storage. The concentration dropped to 57.61mg/l, the concentration change rate was 2.8%, the pollution load change amount was -50.8t, the compliance rate according to the IV water standard was 0.3%, and the cost-effectiveness ratio based on water quality changes was 0.017mg/(L ⁇ 10,000 Yuan).
- the construction of the storage tank has a certain effect on the improvement of water quality. Therefore, in the actual construction process of the project, appropriate consideration can be given to increasing the number or scale of the storage tank to optimize the project to achieve the best project benefits.
- the embodiment of the present invention also provides a device for evaluating the environmental effects of a regulation and storage project based on the coupling model of SWMM and EFDC, as shown in FIG.
- the related description of, I won’t repeat it here.
- the first construction unit 212 is used for constructing a first coupling model of SWMM and EFDC according to the first geographic data, the second geographic data, the third geographic data, and the fourth geographic data to obtain the water quality and water quantity before the implementation of the storage project
- the first output data for details, refer to the relevant description of step S102 in the foregoing embodiment, which will not be repeated here.
- the second acquiring unit 213 is configured to acquire the location, scale, catchment area data, and project investment data of the regulation and storage project; for details, refer to the relevant description of step S103 in the foregoing embodiment, and will not be repeated here.
- the adjustment unit 214 is configured to adjust the SWMM model according to the location, scale, and water catchment area data of the regulation and storage project; for details, refer to the relevant description of step S104 in the foregoing embodiment, which will not be repeated here.
- the second construction unit 215 is configured to construct a second coupling model of SWMM and EFDC according to the adjusted SWMM model, to obtain second output data used to characterize the water quality and water volume after the regulation and storage project is implemented; for details, refer to step S105 of the above embodiment The related description of, I won’t repeat it here.
- the evaluation unit 216 is configured to evaluate the environmental effects of the storage project based on 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 foregoing embodiment, and details are not described herein again.
- the environmental effect assessment device of the regulation and storage project based on the coupling model of SWMM and EFDC provided by the embodiment of the present invention by embedding the network management hydrological model (SWMM) in the traditional river hydrodynamic water quality model (EFDC), forms the coupling model of SWMM and EFDC, and adjusts The environmental effects of the storage project are evaluated. Since the SWMM model considers urban rainfall runoff (urban non-point source pollution), the SWMM and EFDC coupling model comprehensively considers the integrity and systemicity of the watershed, and takes into account the topography, pipeline network, hydrology, and meteorology.
- SWMM network management hydrological model
- EFDC traditional river hydrodynamic water quality model
- the storage project When assessing the environmental effects of the storage project through the coupling model of SWMM and EFDC, it can analyze the impact of non-point source pollution caused by rainfall runoff on the compliance of the water quality section.
- the storage project For the storage project, the storage project is regarded as a change. The value is generalized into the SWMM model, rather than as a constant generalization.
- the EFDC model the impact of the change process of rainfall and runoff on the environmental effects of the regulation and storage project is considered, and when the regulation and storage project is generalized into the SWMM, Taking into account the location and scale of the storage project, the assessment of the environmental effects of the storage 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 connected with the at least one processor; FIG. 22 takes one processor 221 as an example.
- the processor 221 and the memory 222 may be connected through a bus or in other ways.
- the connection through a bus is taken as an example.
- the processor 221 may be a central processing unit (CPU).
- the processor 221 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), or Chips such as other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, or a combination of the above types of chips.
- DSP Digital Signal Processor
- ASIC Application Specific Integrated Circuit
- FPGA Field-Programmable Gate Array
- Chips such as other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, or a combination of the above types of chips.
- the memory 222 can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as the storage project based on the coupling model of SWMM and EFDC in the embodiment of the present invention Program instructions/modules corresponding to the environmental effect assessment method.
- 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, realizes the adjustment based on the SWMM and EFDC coupling model in the foregoing method embodiment. Methods of assessment of environmental effects of storage projects.
- the memory 222 may include a program storage area and a data storage area.
- the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created by the processor 221 and the like.
- the memory 222 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices.
- the memory 222 may optionally include memories remotely provided with respect to the processor 221, and these remote memories may be connected to the processor 221 via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
- the above-mentioned one or more modules are stored in the memory 222, and when executed by the processor 221, the method for evaluating the environmental effects of the regulation and storage project based on the coupling model of SWMM and EFDC in the embodiment shown in FIG. 1 is executed.
- the program can be stored in a computer-readable storage medium. During execution, it may include the procedures of the above-mentioned method embodiments.
- the storage medium can be a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviation: HDD) or solid-state drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the foregoing types of memories.
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Abstract
Description
排污口序号 | COD(mg/L) | 水量(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 |
名称 | 代号 | 建设容积(m 3) |
4号调蓄池 | SU4 | 4000 |
5号调蓄池 | SU5 | 4000 |
7号调蓄池 | SU7 | 1500 |
Claims (9)
- 一种基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法,其特征在于,包括:获取用以表征研究区域管网径流的第一地理数据、表征研究区域管网参数的第二地理数据、表征研究区域河道分布的第三地理数据和表征研究区域河道水动力水质的第四地理数据;根据所述第一地理数据、第二地理数据、第三地理数据和第四地理数据构建SWMM与EFDC第一耦合模型,得到用以表征调蓄工程实施前的水质、水量的第一输出数据;获取调蓄工程位置、规模及汇水区域数据、工程投资数据;根据所述调蓄工程位置、规模及汇水区域数据调整所述SWMM模型;根据调整后的SWMM模型构建SWMM与EFDC第二耦合模型,得到用以表征调蓄工程实施后水质、水量的第二输出数据;根据所述第一输出数据、所述第二输出数据及所述工程投资数据对所述调蓄工程的环境效应进行评估。
- 根据权利要求1所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法,其特征在于,SWMM模型包括管网***,所述根据所述调蓄工程位置、规模及汇水区域数据调整所述SWMM模型,包括:根据所述调蓄工程位置将所述调蓄工程作为节点概化进入所述管网***;将所述节点转换成调蓄池并将所述调蓄池之后的管道转换为孔口;根据所述调蓄工程的汇水区域数据、所述调蓄池及所述孔口对所述管网***进行调整。
- 根据权利要求2所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法,其特征在于,所述根据所述调蓄工程的汇水区域数据、所述调蓄池及所述孔口对所述管网***进行调整,包括:根据所述调蓄池的汇水区域数据,在所述管网***中将所述汇水区域划分为独立区域;根据所述汇水区域、所述调蓄池的位置及所述孔口调整所述汇水区域的管网走向、边界条件。
- 根据权利要求1-3任意一项所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法,其特征在于,所述根据所述第一输出数据、和所述第二输出数据及所述工程投资数据对所述调蓄工程的环境效应进行评估,包括:根据所述第一输出数据及预设水质指标得到待考核断面的第一水质指标浓度、第一水量,所述待考核断面是研究区域河道下游出口断面、重点关注断面或水质考核断面;根据所述第二输出数据及所述预设水质指标得到所述待考核断面的第二水质指标浓度、第二水量、水质指标达标天数及水质指标模拟总天数;根据所述第一水质指标浓度、第一水量、第二水质指标浓度、第二水量、水质指标达标天数、水质指标模拟总天数及工程投资数据计算水质浓度变化率、负荷通量变化量、达标率及基于水质的费效比;根据所述水质浓度变化率、负荷通量变化量、达标率及基于水质的费效比对所述调蓄工程的环境效应进行评估。
- 根据权利要求1所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法,其特征在于,所述根据所述第一地理数据、第二地理数据、第三地理数据和第四地理数据构建SWMM与EFDC第一耦合模型,包括:根据所述第一地理数据构建SWMM模型;根据所述第二地理数据及所述SWMM模型,得到所述研究区域管网径流水质、水量的输出数据;根据所述第三地理数据、第四地理数据构建EFDC模型;根据所述研究区域管网径流水质、水量的输出数据将所述SWMM模型及所述EFDC模型进行耦合,生成SWMM与EFDC第一耦合模型。
- 一种基于SWMM与EFDC耦合模型的调蓄工程环境效应评估装置,其特征在于,包括:第一获取单元,用于获取用以表征研究区域管网径流的第一地理数据、表征研究区域管网参数的第二地理数据、表征研究区域河道分布的第三地理数据和表征研究区域河道水动力水质的第四地理数据;第一构建单元,用于根据所述第一地理数据、第二地理数据、第三地理数据和第四地理数据构建SWMM与EFDC第一耦合模型,得到用以表征调蓄工程实施前的水质、水量的第一输出数据;第二获取单元,用于获取调蓄工程位置、规模及汇水区域数据、工程投资数据;调整单元,用于根据所述调蓄工程位置、规模及汇水区域数据调整所述SWMM模型;第二构建单元,用于根据调整后的SWMM模型构建SWMM与EFDC第二耦合模型,得到用以表征调蓄工程实施后水质、水量的第二输出数据;评估单元,用于根据所述第一输出数据、所述第二输出数据及所述工程投资数据对所述调蓄工程的环境效应进行评估。
- 一种计算机设备,其特征在于,包括:至少一个处理器;以及与所述至少一个处理器通信连接的存储器;其中,所述存储器存储有可被所述一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器执行如权利要求1-6任意一项所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法。
- 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质存储有计算机指令,所述计算机指令用于使所述计算机执行如权利要求1-6任意一项所述的基于SWMM与EFDC耦合模型的调蓄工程环境效应评估方法。
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CN111428972B (zh) * | 2020-03-10 | 2022-09-13 | 中国环境科学研究院 | 基于耦合模型的调蓄工程环境效应评估方法及装置 |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050273300A1 (en) * | 2003-09-29 | 2005-12-08 | Patwardhan Avinash S | Method and system for water flow analysis |
CN109492299A (zh) * | 2018-11-07 | 2019-03-19 | 南开大学 | 基于swmm与modflow耦合的水资源模拟方法 |
CN109558973A (zh) * | 2018-11-15 | 2019-04-02 | 深圳市环境科学研究院 | 一种水质与水生态一体化预警***、控制设备和存储介质 |
US20190303755A1 (en) * | 2018-04-02 | 2019-10-03 | International Business Machines Corporation | Water quality prediction |
CN111428972A (zh) * | 2020-03-10 | 2020-07-17 | 中国环境科学研究院 | 基于swmm与efdc耦合模型的调蓄工程环境效应评估方法及装置 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110125659A1 (en) * | 2009-11-24 | 2011-05-26 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | System and method for output of assessment of physical entity attribute effects on physical environments through in part social networking service input |
CN108287950B (zh) * | 2017-12-27 | 2021-09-14 | 生态环境部环境规划院 | 基于控制单元水环境质量目标管理的水质模拟方法 |
-
2020
- 2020-03-10 CN CN202010164114.5A patent/CN111428972B/zh active Active
-
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- 2021-03-10 WO PCT/CN2021/079867 patent/WO2021180100A1/zh active Application Filing
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050273300A1 (en) * | 2003-09-29 | 2005-12-08 | Patwardhan Avinash S | Method and system for water flow analysis |
US20190303755A1 (en) * | 2018-04-02 | 2019-10-03 | International Business Machines Corporation | Water quality prediction |
CN109492299A (zh) * | 2018-11-07 | 2019-03-19 | 南开大学 | 基于swmm与modflow耦合的水资源模拟方法 |
CN109558973A (zh) * | 2018-11-15 | 2019-04-02 | 深圳市环境科学研究院 | 一种水质与水生态一体化预警***、控制设备和存储介质 |
CN111428972A (zh) * | 2020-03-10 | 2020-07-17 | 中国环境科学研究院 | 基于swmm与efdc耦合模型的调蓄工程环境效应评估方法及装置 |
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