River network regulation and control method and device under rainstorm condition

Abstract

The invention provides a river network regulation and control method under a rainstorm condition. The method comprises the following steps: acquiring pollutant data at key water quality sections of a main river channel and a secondary river channel of a target river network; and constructing a hydrodynamic model of the target river network based on the pollutant data, the water passing area data of the river network, the hydraulic radius data, the section flow data, the water level data and the flow distance data. Acquiring climate data of the urban area where the river network is located, the pollutant concentration of rainstorm runoff, the actual position of the rainwater pump station and the influence range of the rainwater pump station; and determining the drainage flow, the urban area in the drainage area and the runoff water depth generated by the rainstorm. Obtaining the amount of rainwater entering the river. And setting a removal rate parameter for the hydrodynamic model. And simulating the water quality of the river network under the rainstorm condition by using the amount of rainwater entering the river based on the hydrodynamic model after the removal rate parameter is set to obtain a simulation result. According to the method provided by the invention, the river network regulation and control result under the rainstorm condition can be accurately evaluated.

Description

Technical Field

[0001] The present application relates to the technical field of river network regulation, and in particular to a method and device for regulating a river network under heavy rain conditions. Background Art

[0002] With the continuous development of science and technology, people are paying more and more attention to water resources. Urban river networks can provide most of the freshwater resources, are the basis for supporting regional biodiversity, and play a vital role in urban development, human life and ecological environment protection. Urban river networks generally have supporting water purification plants to purify water quality.

[0003] However, as the proportion of impervious areas in urban areas increases sharply, surface pollutants caused by household life, industrial and agricultural activities will flow into the urban river network along with rainwater runoff formed by heavy rains, causing the water quality of the urban river network to deteriorate suddenly. The sudden increase in the concentration of pollutants in the river network will directly affect the river network ecosystem, destroy its ecological diversity and cause frequent eutrophication problems. In related technologies, the evaluation of river network regulation is relatively accurate under normal weather conditions, but in heavy rain weather, the evaluation of river network regulation by related technologies is not accurate.

[0004] Therefore, how to accurately evaluate the regulation effect of the river network under heavy rain conditions has become a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] Based on the above problems, the present application provides a method and device for regulating a river network under heavy rain conditions, which can accurately evaluate the regulation effect of the river network under heavy rain conditions.

[0006] The present application provides a method for regulating a river network under heavy rain conditions, the method comprising:

[0007] Obtain pollutant data at key water quality sections of the main and secondary rivers of the target river network;

[0008] Constructing a hydrodynamic model of the target river network based on the pollutant data, the water flow area data, hydraulic radius data, cross-sectional flow data, water level data and flow distance data of the river network;

[0009] Obtain climate data for the urban area where the river network is located, pollutant concentrations in stormwater runoff, the actual location of stormwater pumping stations, and the impact range of stormwater pumping stations;

[0010] Determine the drainage flow, the urban area in the drainage area, and the depth of runoff generated by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station;

[0011] The flow rate of rainwater entering the river is obtained based on the drainage flow rate, the urban area in the drainage area and the runoff depth generated by the rainstorm;

[0012] Setting a removal rate parameter for the hydrodynamic model, wherein the removal rate parameter is obtained based on the water purification data of the target river network;

[0013] The rainwater inflow into the river is used to simulate the water quality of the river network under heavy rain conditions based on a hydrodynamic model after setting removal rate parameters to obtain simulation results, and the simulation results are used to represent the river network regulation effect under heavy rain conditions.

[0014] In a possible implementation, the rainwater flow into the river is obtained by the following formula:

[0015]

[0016] Among them, Q represents the drainage flow, F represents the area of ​​the central urban area in the drainage area, R represents the runoff depth caused by heavy rain, and T represents the duration of drainage.

[0017] In a possible implementation, the method further includes:

[0018] The water quality at the initial moment of a rainstorm is used as the baseline of the hydrodynamic model;

[0019] Based on the water purification data, different water purification plant strategies corresponding to the water purification data quantify the impact of the rainfall process and the subsequent drainage process on water quality to obtain quantitative results;

[0020] An environmental impact result is obtained based on the quantification result and the simulation result, and the environmental impact result represents the environmental benefit of the river network after regulation under heavy rain conditions.

[0021] The present application also provides a river network control device under heavy rain conditions, the device comprising:

[0022] An acquisition module is used to obtain pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network;

[0023] A hydrodynamic model module, used to construct a hydrodynamic model of the target river network based on the pollutant data, the water flow area data of the river network, the hydraulic radius data, the cross-sectional flow data, the water level data and the flow distance data;

[0024] The stormwater module is used to obtain climate data for the urban area where the river network is located, pollutant concentrations in stormwater runoff, the actual location of stormwater pumping stations, and the impact range of stormwater pumping stations;

[0025] A first determination module is used to determine the drainage flow, the urban area in the drainage area, and the runoff depth caused by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station;

[0026] A second determination module is used to obtain the flow of rainwater into the river based on the drainage flow, the urban area in the drainage area and the runoff depth generated by the rainstorm;

[0027] A setting module, used for setting a removal rate parameter for the hydrodynamic model, wherein the removal rate parameter is obtained based on the water purification data of the target river network;

[0028] The simulation module is used to simulate the water quality of the river network under heavy rain conditions using the rainwater inflow into the river based on a hydrodynamic model with a set removal rate parameter to obtain simulation results, and the simulation results are used to represent the river network regulation effect under heavy rain conditions.

[0029] In a possible implementation, the device further includes an environmental benefit module, and the environmental benefit module is specifically used to:

[0030] The water quality at the initial moment of a rainstorm is used as the baseline of the hydrodynamic model;

[0031] Based on the water purification data, different water purification plant strategies corresponding to the water purification data quantify the impact of the rainfall process and the subsequent drainage process on water quality to obtain quantitative results;

[0032] An environmental impact result is obtained based on the quantification result and the simulation result, and the environmental impact result represents the environmental benefit of the river network after regulation under heavy rain conditions.

[0033] The present application also provides an electronic device, the electronic device comprising a processor and a memory:

[0034] The memory is used to store a computer program and transmit the computer program to the processor;

[0035] The processor is used to execute the steps of the above-mentioned river network regulation method under heavy rain conditions according to the instructions in the computer program.

[0036] The present application also provides a computer-readable storage medium, which is used to store a computer program. When the computer program is executed by an electronic device, it implements the steps of the above-mentioned river network regulation method under heavy rain conditions.

[0037] Compared with the prior art, this application has the following beneficial effects:

[0038] The method provided in this application can realize accurate monitoring of water quality conditions by obtaining pollutant data of key water quality sections of the main river channel and secondary river channel of the target river network. This targeted data collection provides a reliable basis for the subsequent construction of the hydrodynamic model, helps to more accurately reflect the actual water quality of the river network, and makes up for the lack of comprehensive data collection in the prior art. This application constructs a more comprehensive hydrodynamic model by integrating multiple parameters such as water flow area, hydraulic radius, cross-sectional flow, water level and flow distance. This comprehensive model can more accurately simulate the water flow and pollutant transport of the river network under heavy rain conditions, and has higher applicability and accuracy than the single or local models in the prior art. This application can evaluate the drainage flow and rainwater flow into the river in real time under heavy rain conditions based on the climate data of the urban area and the actual location of the rainwater pumping station. This dynamic evaluation capability enables river network managers to respond to water quality changes caused by heavy rain in a timely manner and improves the ability to respond to emergencies. In summary, the urban river network water quality control method of the present application has demonstrated significant beneficial effects in pollutant monitoring, model construction, real-time evaluation, self-purification capacity setting, and management strategy optimization, and can accurately evaluate the control effect of the river network under heavy rain conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 A flow chart of a river network regulation method under heavy rain conditions provided for this application;

[0041] Figure 2 A schematic diagram of the location of a water purification plant and water quality monitoring section in a city river network provided in an embodiment of the present application;

[0042] Figure 3 A schematic diagram of daily rainfall between March and November 2020 provided in an embodiment of the present application;

[0043] Figure 4 A schematic diagram of the structure of a river network control device under heavy rain conditions provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] As described above, with the sudden increase in the proportion of impervious areas in urban areas, surface pollutants caused by household life, industrial and agricultural activities will flow into the urban river network along with the rainwater runoff formed by heavy rains, causing the water quality of the urban river network to suddenly deteriorate. The sudden increase in the concentration of pollutants in the river network will directly affect the river network ecosystem, destroy its ecological diversity and cause frequent eutrophication problems. In the relevant technology, the evaluation of river network regulation is relatively accurate in normal weather, but in heavy rain weather, the relevant technology is not accurate in the evaluation of river network regulation.

[0045] As a river network regulation method, urban river network water treatment plants can help improve river network water quality and promote river network water circulation. The water treatment plant collects substandard water in the river network into the water treatment plant through bypass treatment, and removes pollutants in the river network water through physical and biological technology. Although the performance of urban river network water treatment plants can be proven through measured data, there is still a need for a method to evaluate the effect of urban river network water treatment plants on improving river network water quality during heavy rain.

[0046] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0047] It is understandable that the method provided in the present application can be applied to a processing device, which is a processing device that can obtain pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network, for example, a terminal device or server that can obtain pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network. The method provided in the present application can be executed independently by a terminal device or a server, or it can be applied to a network scenario in which a terminal device and a server communicate, and is executed by the cooperation of a terminal device and a server. Among them, the terminal device can be a computer, a mobile phone and other devices. The server can be understood as an application server or a Web server. In actual deployment, the server can be a stand-alone server or a cluster server.

[0048] Figure 1 A flow chart of a river network regulation method under heavy rain conditions provided in this application, the method comprising the following steps:

[0049] S101: Obtain pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network.

[0050] The processing equipment can obtain pollutant data at key water quality sections of the main river and secondary river of the target river network. The pollutant data can include the main controlled pollutants and corresponding concentrations of the target river network.

[0051] S102: Construct a hydrodynamic model of the target river network based on pollutant data, water flow area data of the river network, hydraulic radius data, cross-sectional flow data, water level data and flow distance data.

[0052] The processing equipment can construct a hydrodynamic model of the target river network based on pollutant data, water flow area data of the river network, hydraulic radius data, cross-sectional flow data, water level data and flow distance data.

[0053] In a possible implementation, since design drawings are required when building a river network, information such as the connectivity layout of the river network and the location and scale of the gate and pump engineering will be recorded. In the target river network, there will be corresponding water flow and pollutant migration and transformation laws, which can be obtained by measuring the water quality. Based on the connectivity layout of the river network, the location and scale of the gate and pump engineering, the measured water quality data and other information, according to the flow and pollutant migration and transformation laws, the processing equipment can obtain pollutant data, river network water flow area data, hydraulic radius data, cross-sectional flow data, water level data and flow distance data under the condition of determining reasonable boundary conditions and initial conditions, and then construct the hydrodynamic model of the target river network based on pollutant data, river network water flow area data, hydraulic radius data, cross-sectional flow data, water level data and flow distance data. The hydrodynamic model can be used to predict the water flowing into the bypass of the water treatment plant.

[0054] Specifically, the processing equipment can extract the geometric information corresponding to the river network and generalize the river network structure, size and position through the geometric information. Then, the river section is reasonably generalized according to the measured terrain and water conservancy project data. Then, according to the design parameters, location and scheduling rules of the pump gate, it is generalized into the hydrodynamic model, including gate width, number of gate openings and closings, opening height, pump station drainage flow and time. Then, the measured water quality concentration and water level flow values ​​at the initial and boundary of the river network are input into the model as initial conditions and boundary conditions. Finally, the pollutants discharged into the river network in the study area are generalized and input into the model in the form of point sources. The required data include drainage and pollutant discharge concentration based on time series. The river roughness, diffusion coefficient and pollutant attenuation coefficient in the hydrodynamic calculation model and water quality calculation model are calibrated and verified.

[0055] In a possible implementation, the processing device can construct the Saint-Venant equations of the target river network based on pollutant data, water flow area data of the river network, hydraulic radius data, cross-sectional flow data, water level data and flow distance data, and the Saint-Venant equations include a water flow continuity equation, a water flow momentum equation and a one-dimensional convection equation;

[0056] The water flow continuity equation can be expressed by the following formula:

[0057]

[0058] Among them, X represents the flow distance, t represents the flow time, A represents the water flow area, and Q represents the cross-sectional flow rate;

[0059] The water flow momentum equation can be expressed as follows:

[0060]

[0061] Wherein, X represents the flow distance, t represents the flow time, A represents the water flow area, Q represents the cross-sectional flow rate, α represents the momentum correction coefficient, R represents the hydraulic radius, and n represents the roughness coefficient of the target river network;

[0062] The one-dimensional convection equation can be expressed as follows:

[0063]

[0064] Wherein, A represents the water flow area, C represents the pollutant data in the target river network, t represents the flow time, X represents the flow distance, Q represents the cross-sectional flow, D represents the water flow diffusion coefficient of the target river network, and K represents the attenuation coefficient.

[0065] In a possible implementation, the concentration of the main controlled pollutant data of the river can be simulated in the form of a generalized equation. The main controlled pollutant data can be chemical oxygen demand data, ammonia nitrogen data, dissolved oxygen data and total phosphorus data.

[0066] Chemical oxygen demand data can be expressed by the following formula:

[0067]

[0068] Among them, C COD represents the chemical oxygen demand concentration, t represents time, k COD represents the first-order degradation rate of chemical oxygen demand at a preset temperature, C DO represents the concentration of dissolved oxygen, HS_COD represents the half-saturated oxygen concentration corresponding to the chemical oxygen demand, The amount of sediment released to represent the chemical oxygen demand, θ COD represents the Arrhenius temperature coefficient, T represents temperature, and T-20 represents that the preset temperature is 20°C;

[0069] The ammonia nitrogen content data can be expressed by the following formula:

[0070]

[0071] in, represents the concentration of ammonia nitrogen, t represents time, UN P Indicates the total amount of ammonia nitrogen taken up by plants in the target river network, UN B represents the total amount of ammonia nitrogen taken up by bacteria in the target river network, Indicates the first-order decay rate of ammonia nitrogen at a preset temperature, represents the temperature coefficient of the decay rate of ammonia conversion to nitrite, HS_NH4 represents the half-saturated oxygen concentration corresponding to ammonia nitrogen, Indicates the amount of ammonia nitrogen released from the sediment, T indicates the temperature, and T-20 indicates that the preset temperature is 20°C;

[0072] Dissolved oxygen data can be expressed by the following formula:

[0073]

[0074] Among them, C DO represents the concentration of dissolved oxygen, t represents time, k2 represents the atmospheric reoxygenation rate, C S represents the saturated dissolved oxygen concentration, phtsyn represents the oxygen production of the plants in the target river network through photosynthesis, and respt represents the oxygen consumption of the plants in the target river network through plant respiration. Indicates the first-order decay rate of ammonia nitrogen at a preset temperature, The temperature coefficient representing the decay rate of ammonia conversion to nitrite, Indicates the concentration of ammonia nitrogen, C DO represents the concentration of dissolved oxygen, HS_NH4 represents the half-saturated oxygen concentration corresponding to ammonia nitrogen, k COD represents the first-order degradation rate of chemical oxygen demand at a preset temperature, θ COD represents the Arrhenius temperature coefficient, C COD represents the chemical oxygen demand concentration, HS_COD represents the semi-saturated oxygen concentration corresponding to the chemical oxygen demand, θ SOD represents the temperature coefficient of SOD, HS_SOD represents the half-saturated oxygen concentration corresponding to SOD, T represents temperature, and T-20 represents that the preset temperature is 20°C;

[0075] Total phosphorus data can be expressed by the following formula:

[0076]

[0077] Among them, C TP represents the concentration of phosphorus, k TP represents the yield of phosphorus released during the release of chemical oxygen demand, k COD represents the first-order degradation rate of chemical oxygen demand at a preset temperature, θCOD represents the Arrhenius temperature coefficient, C COD represents the chemical oxygen demand concentration, C DO represents the concentration of dissolved oxygen, HS_COD represents the half-saturated oxygen concentration corresponding to the chemical oxygen demand, Indicates the release of total phosphorus from sediment, UP P It represents the total amount of ammonia nitrogen taken up by plants in the target river network, and z is the total phosphorus coefficient.

[0078] S103: Obtain climate data for the urban area where the river network is located, pollutant concentrations in storm runoff, the actual location of stormwater pumping stations, and the impact range of stormwater pumping stations.

[0079] The processing equipment can obtain climate data for the urban area where the river network is located, the pollutant concentration of stormwater runoff, the actual location of the stormwater pumping station, and the influence range of the stormwater pumping station.

[0080] In one possible implementation, when constructing a river network, there will be corresponding rainwater pumping stations. The rainwater pumping stations are an important part of the urban drainage system. They can pump rainwater out of densely populated urban areas to avoid flood disasters within the city. The design drawings corresponding to the river network will include the actual location of the rainwater pumping stations and the influence range of the rainwater pumping stations. The climate data of the urban area where the river network is located and the pollutant concentration of the storm runoff will be recorded in the database corresponding to the target river network.

[0081] S104: Determine the drainage flow, the area of ​​the central urban area in the drainage area, and the depth of runoff caused by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station.

[0082] The processing equipment can determine the drainage flow, the urban area in the drainage area, and the depth of runoff caused by heavy rain based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station. Since the rainwater pumping station is an integral part of the urban drainage system, the drainage flow, the urban area in the drainage area, and the depth of runoff caused by heavy rain can be determined based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station.

[0083] S105: The flow rate of rainwater entering the river is obtained based on the drainage flow rate, the area of ​​the urban area in the drainage area, and the depth of runoff caused by the rainstorm.

[0084] The treatment equipment obtains the rainwater flow into the river based on the drainage flow, the urban area of ​​the drainage area and the runoff depth generated by the heavy rain.

[0085] In one possible implementation, the flow of rainwater into the river can be obtained by the following formula:

[0086]

[0087] Among them, Q represents the drainage flow, F represents the area of ​​the central urban area in the drainage area, R represents the runoff depth caused by heavy rain, and T represents the duration of drainage.

[0088] S106: Setting a removal rate parameter for the hydrodynamic model, where the removal rate parameter is obtained based on the clean water data of the target river network.

[0089] In a possible implementation, a removal rate parameter is set for the hydrodynamic model, and the removal rate parameter is obtained based on the net water data of the target river network.

[0090] Since the river network has a corresponding water purification plant, in one possible implementation, the water purification data corresponding to the water purification plant can be the water purification data of the target river network. Since the river has a certain self-purification ability, in another possible implementation, the water purification data of the target river network can be obtained based on the water purification data corresponding to the water purification plant and the self-purification ability of the river.

[0091] S107: The water quality of the river network under heavy rain is simulated by using the hydrodynamic model after setting the removal rate parameter using the rainwater inflow into the river to obtain a simulation result, and the simulation result is used to represent the river network regulation effect under heavy rain.

[0092] The treatment equipment can use the rainwater inflow into the river to simulate the water quality of the river network under heavy rain conditions based on a hydrodynamic model with set removal rate parameters to obtain simulation results, and the simulation results are used to indicate the effect of river network regulation under heavy rain conditions.

[0093] In a possible implementation, the processing device can use the water quality at the initial moment of a rainstorm as the baseline of the hydrodynamic model. Based on the water purification data and different water purification plant strategies corresponding to the water purification data, the impact of the rainfall process and the subsequent drainage process on the water quality is quantified to obtain a quantitative result. Based on the quantitative result and the simulation result, an environmental impact result is obtained, and the environmental impact result represents the environmental benefit of the river network after regulation under the rainstorm.

[0094] The method provided in this application can realize accurate monitoring of water quality conditions by obtaining pollutant data of key water quality sections of the main river channel and secondary river channel of the target river network. This targeted data collection provides a reliable basis for the subsequent construction of the hydrodynamic model, helps to more accurately reflect the actual water quality of the river network, and makes up for the lack of comprehensive data collection in the prior art. This application constructs a more comprehensive hydrodynamic model by integrating multiple parameters such as water flow area, hydraulic radius, cross-sectional flow, water level and flow distance. This comprehensive model can more accurately simulate the water flow and pollutant transport of the river network under heavy rain conditions, and has higher applicability and accuracy than the single or local models in the prior art. This application can evaluate the drainage flow and rainwater flow into the river in real time under heavy rain conditions based on the climate data of the urban area and the actual location of the rainwater pumping station. This dynamic evaluation capability enables river network managers to respond to water quality changes caused by heavy rain in a timely manner and improves the ability to respond to emergencies. In summary, the urban river network water quality control method of the present application has demonstrated significant beneficial effects in pollutant monitoring, model construction, real-time evaluation, self-purification capacity setting, and management strategy optimization, and can accurately evaluate the control effect of the river network under heavy rain conditions.

[0095] Next, we will explain it with an actual case. The urban river network water purification plant project in the case is located outside the outer ring of the urban river network. It uses the existing river section for water purification. The current construction scale is to purify 200,000 tons of water per day, and it may be expanded to purify 500,000 tons of water per day in the future. Through a historical rainfall event, the water quality concentration at the initial time of the rainfall event is used as the baseline to calculate the change in the river network water quality concentration during the rainfall event and the five days after the rainfall event.

[0096] Figure 2 A schematic diagram of the location of a city river network water purification plant and water quality monitoring section provided in an embodiment of the present application, Figure 2 M1-M10 are the locations of 10 water quality monitoring sections.

[0097] Figure 3 A schematic diagram of daily rainfall between March and November 2020 is provided in an embodiment of the present application.

[0098] Through the method corresponding to S102, the chemical oxygen demand data, ammonia nitrogen data and total phosphorus data of the target river network can be obtained.

[0099] Table 1 shows the chemical oxygen demand data of water quality monitoring sections in the target river network during historical rainfall events under different water treatment plant sizes.

[0100] Table 1

[0101]

[0102]

[0103]

[0104] Table 2 shows the ammonia nitrogen content data of water quality monitoring sections in historical rainfall events of the target river network under different water treatment plant scales.

[0105] Table 2

[0106]

[0107]

[0108] Table 3 shows the total phosphorus data of water quality monitoring sections in the target river network during historical rainfall events at different water treatment plant sizes.

[0109] Table 3

[0110]

[0111]

[0112] The data in Table 1, Table 2 and Table 3 can all be used as data in the hydrodynamic model of the target river network. The hydrodynamic model of the target river network obtained with the above data can more accurately represent the heavy rain situation.

[0113] The present application also provides a Figure 4 The schematic diagram of the structure of the river network control device under heavy rain conditions is shown, and the river network control device 400 under heavy rain conditions includes the following modules:

[0114] An acquisition module 401 is used to acquire pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network;

[0115] A hydrodynamic model module 402 is used to construct a hydrodynamic model of the target river network based on the pollutant data, the water flow area data of the river network, the hydraulic radius data, the cross-sectional flow data, the water level data and the flow distance data;

[0116] The storm module 403 is used to obtain climate data of the urban area where the river network is located, the pollutant concentration of storm runoff, the actual location of the storm water pumping station and the influence range of the storm water pumping station;

[0117] A first determination module 404 is used to determine the drainage flow, the urban area in the drainage area, and the runoff depth caused by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station;

[0118] The second determination module 405 is used to obtain the flow rate of rainwater into the river based on the drainage flow rate, the urban area in the drainage area and the runoff depth generated by the rainstorm;

[0119] A setting module 406, for setting a removal rate parameter for the hydrodynamic model, wherein the removal rate parameter is obtained based on the clean water data of the target river network;

[0120] The simulation module 407 is used to simulate the water quality of the river network under heavy rain conditions using the rainwater inflow into the river based on a hydrodynamic model with a set removal rate parameter to obtain simulation results, and the simulation results are used to represent the river network regulation effect under heavy rain conditions.

[0121] In a possible implementation, the device further includes an environmental benefit module, and the environmental benefit module is specifically used to:

[0122] The water quality at the initial moment of a rainstorm is used as the baseline of the hydrodynamic model;

[0123] Based on the water purification data, different water purification plant strategies corresponding to the water purification data quantify the impact of the rainfall process and the subsequent drainage process on water quality to obtain quantitative results;

[0124] An environmental impact result is obtained based on the quantification result and the simulation result, and the environmental impact result represents the environmental benefit of the river network after regulation under heavy rain conditions.

[0125] The device provided by the present application can realize accurate monitoring of water quality conditions by acquiring pollutant data of key water quality sections of the main river channel and secondary river channel of the target river network. This targeted data collection provides a reliable basis for the subsequent construction of the hydrodynamic model, helps to more accurately reflect the actual water quality of the river network, and makes up for the lack of comprehensive data collection in the prior art. The present application constructs a more comprehensive hydrodynamic model by integrating multiple parameters such as water flow area, hydraulic radius, cross-sectional flow, water level and flow distance. This comprehensive model can more accurately simulate the water flow and pollutant transport of the river network under heavy rain conditions, and has higher applicability and accuracy than the single or local models in the prior art. The present application can evaluate the drainage flow and rainwater flow into the river in real time under heavy rain conditions based on the climate data of the urban area and the actual location of the rainwater pumping station. This dynamic evaluation capability enables river network managers to respond to water quality changes caused by heavy rain in a timely manner and improves the ability to respond to emergencies. In summary, the urban river network water quality control method of the present application has demonstrated significant beneficial effects in pollutant monitoring, model construction, real-time evaluation, self-purification capacity setting, and management strategy optimization, and can accurately evaluate the control effect of the river network under heavy rain conditions.

[0126] An embodiment of the present application also provides a river network regulation device under heavy rain conditions, wherein the device includes a memory and a processor, the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device performs the steps of the river network regulation method under heavy rain conditions described in any embodiment of the present application.

[0127] In practical applications, the computer-readable storage medium may be any combination of one or more computer-readable media, which may be a computer-readable signal medium or a computer-readable storage medium.

[0128] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0129] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0130] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0131] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0132] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely schematic, in which the unit described as a separate component may or may not be physically separated, and the component prompted as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0133] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for regulating river network in case of heavy rain, characterized in that: include: Obtain pollutant data at key water quality sections of the main and secondary rivers of the target river network; Constructing a hydrodynamic model of the target river network based on the pollutant data, the water flow area data, hydraulic radius data, cross-sectional flow data, water level data and flow distance data of the river network; Obtain climate data for the urban area where the river network is located, pollutant concentrations in stormwater runoff, the actual location of stormwater pumping stations, and the impact range of stormwater pumping stations; Determine the drainage flow, the urban area in the drainage area, and the depth of runoff generated by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station; The flow rate of rainwater entering the river is obtained based on the drainage flow rate, the urban area in the drainage area and the runoff depth generated by the rainstorm; Setting a removal rate parameter for the hydrodynamic model, wherein the removal rate parameter is obtained based on the water purification data of the target river network; The rainwater inflow into the river is used to simulate the water quality of the river network under heavy rain conditions based on a hydrodynamic model after setting removal rate parameters to obtain simulation results, and the simulation results are used to represent the river network regulation effect under heavy rain conditions.

2. The method according to claim 1, characterized in that The rainwater flow into the river is obtained by the following formula: Among them, Q represents the drainage flow, F represents the area of ​​the central urban area in the drainage area, R represents the runoff depth caused by heavy rain, and T represents the duration of drainage.

3. The method according to claim 1, characterized in that The method further comprises: The water quality at the initial moment of a rainstorm is used as the baseline of the hydrodynamic model; Based on the water purification data, different water purification plant strategies corresponding to the water purification data quantify the impact of the rainfall process and the subsequent drainage process on water quality to obtain quantitative results; An environmental impact result is obtained based on the quantification result and the simulation result, and the environmental impact result represents the environmental benefit of the river network after regulation under heavy rain conditions.

4. A river network control device in case of heavy rain, characterized in that: include: An acquisition module is used to obtain pollutant data at key water quality sections of the main river channel and secondary river channels of the target river network; A hydrodynamic model module, used to construct a hydrodynamic model of the target river network based on the pollutant data, the water flow area data of the river network, the hydraulic radius data, the cross-sectional flow data, the water level data and the flow distance data; The stormwater module is used to obtain climate data for the urban area where the river network is located, pollutant concentrations in stormwater runoff, the actual location of stormwater pumping stations, and the impact range of stormwater pumping stations; A first determination module is used to determine the drainage flow, the urban area in the drainage area, and the runoff depth caused by the rainstorm based on the actual location of the rainwater pumping station and the influence range of the rainwater pumping station; A second determination module is used to obtain the flow of rainwater into the river based on the drainage flow, the urban area in the drainage area and the runoff depth generated by the rainstorm; A setting module, used for setting a removal rate parameter for the hydrodynamic model, wherein the removal rate parameter is obtained based on the water purification data of the target river network; The simulation module is used to simulate the water quality of the river network under heavy rain conditions using the rainwater inflow into the river based on a hydrodynamic model with a set removal rate parameter to obtain simulation results, and the simulation results are used to represent the river network regulation effect under heavy rain conditions.

5. The device according to claim 4, characterized in that The device further comprises an environmental benefit module, wherein the environmental benefit module is specifically used for: The water quality at the initial moment of a rainstorm is used as the baseline of the hydrodynamic model; Based on the water purification data, different water purification plant strategies corresponding to the water purification data quantify the impact of the rainfall process and the subsequent drainage process on water quality to obtain quantitative results; An environmental impact result is obtained based on the quantification result and the simulation result, and the environmental impact result represents the environmental benefit of the river network after regulation under heavy rain conditions.

6. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store the computer program; The processor is used to execute the computer program to implement the river network regulation method under heavy rain conditions as described in any one of claims 1-3.

7. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, the river network regulation method under heavy rain conditions as described in any one of claims 1 to 3 is implemented.

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