Runoff pollution load calculation method and apparatus, electronic device, and storage medium

Abstract

The present application is applied to the technical field of urban water environment treatment, and provides a runoff pollution load calculation method and apparatus, an electronic device, and a storage medium. The method comprises: determining a target outfall in a target area for which a runoff pollution load is to be calculated; for any sub-catchment area corresponding to the target outfall, obtaining load characteristic factors corresponding to the current sub-catchment area and characteristic coefficients respectively corresponding to the load characteristic factors when calculating a runoff pollution load on the basis of the load characteristic factors; on the basis of the load characteristic factors and the characteristic coefficients, determining a runoff pollution load corresponding to the current sub-catchment area; and determining the sum of runoff pollution loads of the sub-catchment areas corresponding to the target outfall, and correcting the sum of the runoff pollution loads on the basis of a time correction factor between a target year and a preset year, to determine a target runoff pollution load corresponding to the target outfall in the target year. The method of the present application realizes the improvement of the efficiency and accuracy of runoff pollution load result calculation.

Description

Runoff pollution load calculation method, device, electronic device and storage medium

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on March 27, 2024, with application number 202410355775.4 and application name “Runoff pollution load calculation method, device, electronic device and storage medium”, all contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the technical field of urban water environment governance, and more specifically, to a runoff pollution load calculation method, device, electronic device, and storage medium. Background Art

[0003] As point-source pollution in cities is effectively controlled, the impact of non-point source pollution on urban water environments is becoming increasingly prominent. Rainfall surface runoff, as a major non-point source of pollution in urban areas, is characterized by uncertainty in its occurrence, and its emissions and migration are significantly influenced by environmental factors. Therefore, its pollution load calculation is relatively complex.

[0004] At present, the method for calculating the pollution load of surface runoff mainly adopts the statistical model method, which is based on the analysis of a large amount of measured data, exploring the correlation between the pollution load and various influencing factors, and constructing empirical formulas or function equations, and then realizing the load calculation based on actual monitoring data.

[0005] However, due to the seasonality and randomness of rainfall each year, the timeliness and accuracy of the current algorithm in calculating runoff pollution loads cannot be guaranteed.

[0006] Summary of the Invention

[0007] The purpose of this application is to provide a runoff pollution load calculation method, device, electronic device and storage medium to solve the problems of low accuracy and low timeliness of runoff pollution load calculation in the existing technology, thereby improving the efficiency and accuracy of the runoff pollution load calculation results.

[0008] In a first aspect, the present application discloses a method for calculating runoff pollution load, comprising:

[0009] Determining a target outlet within a target area for which runoff pollution load is to be calculated; wherein the target area is composed of a plurality of characteristic areas with different regional characteristics; the characteristic areas are composed of a plurality of sub-catchment areas; the target area includes a plurality of outlets, each outlet collecting the runoff pollution load from a plurality of different sub-catchment areas;

[0010] For any subcatchment area corresponding to the target outlet, obtain the load characteristic factor corresponding to the current subcatchment area and the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; wherein the load characteristic factor is a factor that affects the pollution load formed when runoff pollutants from each subcatchment area converge at the outlet; the characteristic coefficient is determined based on the load characteristic factors corresponding to multiple preset subcatchments in the target area and the runoff pollution load equivalent in a preset year;

[0011] determining the runoff pollution load of the current sub-catchment area in the preset year based on the load characteristic factor and the characteristic coefficient;

[0012] The sum of the runoff pollution loads of each of the sub-catchment areas corresponding to the target outlet in the preset year is determined, and the sum of the runoff pollution loads is corrected based on a time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

[0013] Based on the above technical content, the benchmark runoff pollution load equivalent of the pre-selected benchmark catchment area in the target area in the preset year is used to determine the load characteristic factors that affect the pollution load formed when runoff pollutants converge at the catchment outlet of the sub-catchment, as well as the corresponding characteristic coefficients, so as to quickly calculate the runoff pollution load of each catchment area, and then quickly calculate the runoff pollution load of the target outlet in the target area, avoiding the technical problems that the calculation results are difficult to achieve the timeliness requirements and accuracy requirements of rapid calculation due to large amounts of monitoring data, repeated monitoring, large random errors in monitoring, and long load calculation cycles, thereby improving the efficiency and accuracy of the calculation results of the runoff pollution load.

[0014] In another possible implementation, before determining the target outlet for calculating the runoff pollution load in the target area, the method further includes:

[0015] Acquiring regional characteristic data that affects runoff pollution loads in different areas within the target area, and dividing the target area into functional areas based on the regional characteristic data to obtain a plurality of characteristic areas corresponding to the target area;

[0016] For any characteristic region, the current characteristic region is divided into catchment areas based on the rainfall catchment range to obtain a plurality of sub-catchment areas corresponding to the current characteristic region.

[0017] In another possible implementation, the characteristic area includes a reference sub-catchment area and other sub-catchment areas;

[0018] Accordingly, the characteristic coefficient is determined based on the load characteristic factors corresponding to the plurality of preset sub-catchment areas in the target area and the runoff pollution load equivalent in a preset year, including:

[0019] For any characteristic area, determining a reference subcatchment area in the current characteristic area, obtaining runoff pollution monitoring data of the reference subcatchment area in a preset year, and determining a reference runoff pollution load equivalent of the reference subcatchment area in the preset year based on the runoff pollution monitoring data;

[0020] Obtain the benchmark load characteristic factors of each benchmark sub-catchment area corresponding to each characteristic area, and based on each benchmark load characteristic factor and each benchmark runoff pollution load equivalent, determine the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

[0021] In another possible implementation, determining the baseline runoff pollution load equivalent of the baseline subcatchment area in the preset year based on the runoff pollution monitoring data includes:

[0022] Obtaining a preset runoff pollution load statistical algorithm, and determining a baseline runoff pollution load of the baseline subcatchment area based on the runoff pollution load statistical algorithm and the runoff pollution monitoring data;

[0023] The benchmark runoff pollution load is statistically processed to determine the benchmark runoff pollution load equivalent corresponding to the benchmark sub-catchment area in the preset year.

[0024] In another possible implementation, determining, based on each of the benchmark load characteristic factors and each of the benchmark runoff pollution load equivalents, a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor includes:

[0025] For any characteristic area, establishing a load-factor relationship equation between the benchmark load characteristic factor and the benchmark runoff pollution load equivalent in the current characteristic area;

[0026] A load-factor relationship equation group is constructed based on the load-factor relationship equation corresponding to each of the characteristic regions, and the characteristic coefficient is determined based on a preset coefficient correlation between the load-factor relationship equation group and each of the characteristic coefficients.

[0027] In another possible implementation, the load characteristic factors include road and square ratio, building roof ratio, green space ratio, water surface and wetland ratio, and terrain slope factor;

[0028] Accordingly, the load-factor relationship equation includes: S i=K pi ×(k 1i A i +k 2i B i +k 3i C i +k 4i D i );

[0029] Among them, S i A represents the baseline runoff pollution load equivalent of the baseline catchment sub-area in any characteristic area; i Indicates the ratio of road to square; B i Indicates the proportion of building roof; C i Indicates the proportion of green space; D i Indicates the proportion of water surface wetlands; K pi represents the terrain slope factor; k 1i Indicates the characteristic coefficient corresponding to the road-square ratio; k 2i Indicates the characteristic coefficient corresponding to the building roof ratio; k 3i Indicates the characteristic coefficient corresponding to the road green space ratio; k 4i Indicates the characteristic coefficient corresponding to the proportion of water surface wetlands.

[0030] In another possible implementation method, the coefficient correlation includes: the characteristic coefficients corresponding to the proportion of building roofs in different characteristic areas are equal; the characteristic coefficients corresponding to the proportion of water surface wetlands in different characteristic areas are equal; there is a preset proportional relationship between the characteristic coefficient corresponding to the proportion of green space and the characteristic coefficient corresponding to the proportion of road squares in the same characteristic area.

[0031] In a second aspect, the present application provides a runoff pollution load calculation device, comprising:

[0032] A target outlet determination module is configured to determine a target outlet within a target area for which runoff pollution load is to be calculated; wherein the target area is composed of a plurality of characteristic areas with different regional characteristics; the characteristic areas are composed of a plurality of sub-catchment areas; the target area includes a plurality of outlets, each outlet collecting the runoff pollution load from a plurality of different sub-catchment areas;

[0033] a data acquisition module configured to obtain, for any subcatchment corresponding to a target outlet, a load characteristic factor corresponding to the current subcatchment and a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; wherein the load characteristic factor is a factor that affects the pollution load formed when runoff pollutants from each subcatchment converge at the outlet; and the characteristic coefficient is determined based on the load characteristic factors corresponding to a plurality of preset subcatchments in the target area and the runoff pollution load equivalent for a preset year;

[0034] a runoff pollution load determination module, configured to determine the runoff pollution load of the current sub-catchment area in the preset year based on the load characteristic factor and the characteristic coefficient;

[0035] The target runoff pollution load determination module is used to determine the sum of the runoff pollution loads of each sub-catchment area corresponding to the target outlet in the preset year, and to correct the sum of the runoff pollution loads based on the time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

[0036] In another possible implementation, the device further includes:

[0037] a characteristic region determination unit, configured to obtain, before determining a target outlet for calculating the runoff pollution load within the target area, regional characteristic data affecting the runoff pollution load in different areas within the target area, and to divide the target area into functional areas based on the regional characteristic data to obtain a plurality of characteristic regions corresponding to the target area;

[0038] The sub-catchment area determination unit is used to divide the current characteristic area into catchment areas based on the rainfall catchment range for any characteristic area, and obtain multiple sub-catchment areas corresponding to the current characteristic area.

[0039] In another possible implementation, the characteristic area includes a base subcatchment area and other subcatchments;

[0040] Correspondingly, the data acquisition module includes:

[0041] A submodule for determining a baseline runoff pollution load equivalent is used to determine, for any characteristic area, a baseline subcatchment area in the current characteristic area, obtain runoff pollution monitoring data for the baseline subcatchment area in a preset year, and determine a baseline runoff pollution load equivalent for the baseline subcatchment area in the preset year based on the runoff pollution monitoring data;

[0042] The characteristic coefficient determination submodule is used to obtain the benchmark load characteristic factors of each benchmark sub-catchment area corresponding to each characteristic area, and based on each benchmark load characteristic factor and each benchmark runoff pollution load equivalent, determine the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

[0043] In another possible implementation, the baseline runoff pollution load equivalent determination submodule includes:

[0044] The benchmark runoff pollution load equivalent determination unit is used to obtain a preset runoff pollution load statistical algorithm, perform statistical processing of the runoff pollution load per unit area of ​​the benchmark sub-catchment area based on the runoff pollution load statistical algorithm and runoff pollution monitoring data, and determine the benchmark runoff pollution load equivalent corresponding to the benchmark sub-catchment area in the preset year.

[0045] In another possible implementation, the characteristic coefficient determination submodule includes:

[0046] A load-factor relationship equation determination unit is used to establish, for any characteristic area, a load-factor relationship equation between a benchmark load characteristic factor and a benchmark runoff pollution load equivalent in the current characteristic area;

[0047] The characteristic coefficient determination unit is used to construct a load-factor relationship equation group based on the load-factor relationship equation corresponding to each characteristic area, and determine the characteristic coefficient based on the preset coefficient correlation between the load-factor relationship equation group and each characteristic coefficient.

[0048] In another possible implementation method, the load characteristic factors include road and square ratio, building roof ratio, green space ratio, water surface wetland ratio and terrain slope factor;

[0049] Accordingly, the load-factor relationship equation includes: S i =K pi ×(k 1i A i +k 2i B i +k 3i C i +k 4i D i );

[0050] Among them, S i A represents the baseline runoff pollution load equivalent of the baseline catchment sub-area in any characteristic area; i Indicates the ratio of road to square; B i Indicates the proportion of building roof; C i Indicates the proportion of green space; D i Indicates the proportion of water surface wetlands; K pi represents the terrain slope factor; k 1i Indicates the characteristic coefficient corresponding to the road-square ratio; k 2i Indicates the characteristic coefficient corresponding to the building roof ratio; k 3i Indicates the characteristic coefficient corresponding to the road green space ratio; k 4i Indicates the characteristic coefficient corresponding to the proportion of water surface wetlands.

[0051] In another possible implementation method, the coefficient correlation includes: the characteristic coefficients corresponding to the proportion of building roofs in different characteristic areas are equal; the characteristic coefficients corresponding to the proportion of water surface wetlands in different characteristic areas are equal; there is a preset proportional relationship between the characteristic coefficient corresponding to the proportion of green space and the characteristic coefficient corresponding to the proportion of road squares in the same characteristic area.

[0052] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0053] The memory stores computer-executable instructions;

[0054] The processor executes the computer-executable instructions stored in the memory to implement the method according to the first aspect.

[0055] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0056] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0057] The technical solution provided in the present application determines the load characteristic factors and corresponding characteristic coefficients of the pollution load formed when the runoff pollutants of each sub-catchment converge at the catchment outlet through the benchmark runoff pollution load equivalent of the pre-selected benchmark sub-catchment area in the target area in a preset year, thereby quickly calculating the runoff pollution load of each sub-catchment area, and then quickly calculating the runoff pollution load of the target outlet in the target area, avoiding the technical problems that the calculation results are difficult to achieve the timeliness requirements and accuracy requirements of fast calculation due to large amounts of monitoring data, repeated monitoring, large random errors in monitoring, and long load calculation cycles, thereby improving the efficiency and accuracy of the calculation results of the runoff pollution load. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0059] FIG1 is a diagram showing an application scenario of the runoff pollution load calculation method provided in this application;

[0060] FIG2 is a flow chart of a method for calculating runoff pollution load provided in an embodiment of the present application;

[0061] FIG3 is a schematic structural diagram of a runoff pollution load calculation device provided in an embodiment of the present application;

[0062] FIG4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;

[0063] FIG5 is a block diagram of a terminal electronic device shown in an embodiment of the present application.

[0064] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0065] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0066] In related technologies, when calculating runoff pollution load, the runoff pollution load is generally determined by exploring the correlation between the pollution load and various influencing factors, and constructing empirical formulas or functional equations; for example, the runoff pollution load is calculated using the pollution load equivalent method. However, the above method requires a large amount of actual monitoring data. At least 15-20 rainfall runoff measurements are required for the sub-catchment area included in the target outlet to obtain a relatively accurate weighted average concentration of pollutants that represents the runoff pollution situation, and then calculate the runoff pollution load of the target outlet. There are problems such as large amount of monitoring data, repeated monitoring, large random errors in monitoring, and long load calculation cycle, which makes it difficult for the calculation results to meet the timeliness requirements and accuracy requirements of fast calculation.

[0067] The runoff pollution load calculation method provided in this application is intended to solve the above technical problems of the prior art. Specifically, the load characteristic factors affecting the pollution load formed when runoff pollutants converge at the sub-catchment outlet are determined by the benchmark runoff pollution load equivalent of the pre-selected benchmark catchment area in the target area in the preset year, as well as the corresponding characteristic coefficients, so as to quickly calculate the runoff pollution load of each catchment area, and then quickly calculate the runoff pollution load of the target outlet in the target area, avoiding the technical problems that the calculation results are difficult to achieve the timeliness requirements and accuracy requirements of the rapid calculation due to the large amount of monitoring data, repeated monitoring, large random errors in monitoring, and long load calculation cycles, thereby improving the efficiency and accuracy of the calculation results of the runoff pollution load.

[0068] Figure 1 is a diagram of an application scenario of the runoff pollution load calculation method provided by this application. For ease of understanding, the application scenario applicable to the embodiment of this application is described below in conjunction with Figure 1. Referring to Figure 1, the above-mentioned runoff pollution load calculation method can be applied to a preset load accounting system. The system may include a region division module, a monitoring data storage module, a parameter calculation module, and a load calculation module; wherein the region division module is configured to perform multi-layer region division on the target region, determine characteristic regions included in the target region, and the reference subcatchments and other subcatchments included in each characteristic region; and determine the subcatchments corresponding to the target outlets in the target region; the monitoring data storage module is configured to store pollution monitoring data acquired from multiple monitoring of the outlets of the reference subcatchments in each characteristic region in the target region in preset years; the parameter calculation module is configured to calculate the reference runoff pollution load equivalent of each reference subcatchment in the preset year based on the pollution monitoring data, establish a load-factor relationship equation group based on the reference runoff pollution load equivalent of each reference subcatchment in each characteristic region and the load characteristic factors of each reference outlet, and solve the equation relationship to obtain the characteristic coefficient corresponding to each load characteristic factor; the load calculation module is configured to determine the runoff pollution load of each catchment based on the regional load factor characteristics and the corresponding characteristic coefficient of each catchment corresponding to the target outlet, thereby quickly calculating the target runoff pollution load of the target outlet in the target region based on each runoff pollution load.

[0069] It can be explained that although the modules and the logical order between the modules are shown in the scene diagram, in some cases, the technical solutions shown or described can be executed with modules and logical orders different from those given here.

[0070] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0071] Figure 2 is a flow chart illustrating a method for calculating runoff pollution loads according to an embodiment of the present application. This method can be performed by a runoff pollution load calculation device, which can be a server or an electronic device. The following description uses an electronic device as an example. The method in this embodiment can be implemented using software, hardware, or a combination of software and hardware. As shown in Figure 2, the method includes the following steps.

[0072] S210. Determine a target outlet for calculating the runoff pollution load within the target area; wherein the target area is composed of a plurality of characteristic areas with different regional related characteristics; the characteristic area is composed of a plurality of sub-catchment areas; the target area includes a plurality of outlets, each outlet collecting the runoff pollution load of a plurality of different sub-catchment areas.

[0073] In the embodiment of the present application, the target area can be understood as any area where there is surface runoff pollution. For example, the target area can be the urban built-up area of ​​a city in the middle and lower reaches of the Yangtze River Basin. Since the target area is large, different locations in the area have different characteristics, resulting in different load statistics of runoff pollution at different locations in the target area. Therefore, in the relevant technology, the target area can be divided into multiple characteristic areas. Furthermore, in order to facilitate rapid and accurate pollution load statistics, the characteristic area is further divided into multiple catchment sub-areas. It can be explained that due to geographical characteristics, there are multiple outlets for discharging surface runoff pollution in the target area, and each outlet collects the runoff pollution load of multiple different sub-catchment areas.

[0074] In related technologies, in order to subsequently quickly and accurately calculate the target runoff pollution load corresponding to the target outlet in the target area, in an embodiment of the present application, the target area is divided into multiple characteristic areas according to the area-related characteristics in the area.

[0075] Optionally, the process of obtaining characteristic areas in the present application may specifically include: obtaining regional-related characteristic data within the target area that affects the runoff pollution load in different areas, and dividing the target area into functional areas based on the regional-related characteristic data to obtain multiple characteristic areas corresponding to the target area.

[0076] In related technologies, regional-related characteristics that affect runoff pollution loads in different regions may include, but are not limited to, any one or more of the following: functional characteristics of built-up areas, population density, stormwater pipe network coverage, topography, and per capita GDP.

[0077] Specifically, the target area can be divided according to the population density of the underlying surface and the distribution of human activity characteristics in the target area to obtain multiple characteristic areas. Specifically, the target area can also be divided according to the rainwater pipe network coverage rate or the regional topography of the target area to obtain multiple characteristic areas. Of course, regional division can also be performed based on other characteristics to obtain characteristic areas. In the embodiments of this application, the conditions for dividing characteristic areas are not specifically limited.

[0078] Exemplarily, the technical solution of the present application may include several (≤4) characteristic areas according to the target area; for example, a core business district, a living residential area, an industrial cluster area, and a low-impact development area.

[0079] In the embodiment of the present application, the sub-catchment area can be understood as multiple sub-areas obtained by further dividing the characteristic area. Specifically, the above-mentioned characteristic area can also be understood as multiple catchment areas divided by the target area. However, in the related art, the calculation results obtained when calculating the runoff pollution load when the catchment area is too large or too small are less reliable when used as the basis for subsequent engineering control. Therefore, based on the multiple regional features contained in the target area, each regional feature is further divided to obtain multiple sub-catchment areas contained in each regional feature.

[0080] Optionally, the process of obtaining the sub-catchment area in the present application may specifically include: dividing the current characteristic area based on the rainfall catchment range to obtain multiple sub-catchment areas corresponding to the current characteristic area.

[0081] In related technologies, taking any characteristic area as an example, the water basin range of the characteristic area is divided into regions according to the rainfall catchment range of the characteristic area, and at least one sub-catchment area of ​​the characteristic area is obtained. For example, in order to quickly calculate the runoff pollution load based on the sub-catchment area and make the calculation result more reliable, the area of ​​the sub-catchment area in this application is preferably controlled within 2-3 km 2 .

[0082] On this basis, based on the geographic characteristics of the target area, statistics are compiled for each subcatchment area corresponding to each outlet within the target area. Specifically, for any outlet, the runoff pollutants from which subcatchments in the target area will be collected and discharged from the current outlet are determined. Furthermore, a mapping table is created to establish the correspondence between each outlet and the catchment area. This allows for the rapid identification of multiple corresponding subcatchments when calculating the runoff pollution load for any outlet in the target area as the target outlet. The runoff pollution load for the target outlet can then be calculated by calculating the runoff pollution load for each subcatchment area.

[0083] S220 . For any sub-catchment area corresponding to the target outlet, obtain a load characteristic factor corresponding to the current sub-catchment area and a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

[0084] In this embodiment of the present application, the load characteristic factor can be understood as a factor that affects the pollution load generated when runoff pollutants from each subcatchment converge at the catchment outlet; the characteristic coefficient can be understood as a calculation parameter that characterizes the different runoff pollution loads affecting subcatchments with different characteristic areas. Specifically, the characteristic coefficient is determined based on the load characteristic factors corresponding to multiple pre-set subcatchments in the target area and the runoff pollution load equivalent for a pre-set year.

[0085] It can be explained that the runoff pollution load equivalent can be understood as the pollution load corresponding to the unit area in the preset sub-catchment area; that is, when determining the runoff pollution load equivalent, it is necessary to determine the runoff pollution load collected in the sub-catchment area in advance, and then determine the runoff pollution load equivalent of the sub-catchment area based on the runoff pollution load and the area of ​​the sub-catchment area.

[0086] It can also be explained that, for any subcatchment, each subcatchment in the characteristic region is divided into a base subcatchment and multiple other subcatchments. It can be explained that, taking any characteristic region as an example, the base subcatchment can be any randomly selected subcatchment in the current characteristic region; of course, to facilitate subsequent parameter calculations, in related art, a base subcatchment is a subcatchment in the current characteristic region that has a strong regional correlation with other subcatchments. Specifically, a correlation calculation can be performed on each subcatchment based on its regional correlation characteristics, thereby obtaining the subcatchment with the greatest regional correlation with each subcatchment, and determining this subcatchment as the base subcatchment in the current characteristic region.

[0087] On this basis, the calculation process of the characteristic coefficient in the embodiment of the present application may specifically include: for any characteristic area, determining the benchmark sub-catchment area in the current characteristic area, obtaining the runoff pollution monitoring data of the benchmark sub-catchment area in the preset year, and determining the benchmark runoff pollution load equivalent of the benchmark sub-catchment area in the preset year based on the runoff pollution monitoring data; obtaining the benchmark load characteristic factors of each benchmark sub-catchment area corresponding to each characteristic area, and based on each benchmark load characteristic factor and each benchmark runoff pollution load equivalent, determining the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

[0088] It can be explained that the above-mentioned calculation area load factor characteristics can be realized by mining the common factors and characteristic factors existing in different sub-catchment areas, determining the differences between different sub-catchment areas, and then calculating the runoff pollution load of a small number of sub-catchment areas, and correcting the calculated runoff pollution load through the differences to obtain the runoff pollution load of other sub-catchment areas, thereby quickly obtaining the target runoff pollution load corresponding to the target area.

[0089] Specifically, in the embodiment of the present application, the calculation of the characteristic coefficient requires pre-determining the baseline runoff pollution load equivalent of the baseline sub-catchment area in each characteristic area in a preset year and the load characteristic factors corresponding to each baseline sub-catchment area, and then constructing a set of relationship equations for the above two parameters and determining the characteristic coefficient based on the solution of the set of equations.

[0090] It can be explained that the preset year can be understood as any year selected in the embodiment of the present application, for example, it can include but is not limited to the current year or other years before the current year that meet the preset rainfall conditions.

[0091] Optionally, the specific process of determining the baseline runoff pollution load equivalent in the embodiment of the present application may include: obtaining a preset runoff pollution load statistical algorithm, determining the baseline runoff pollution load of the baseline sub-catchment area based on the runoff pollution load statistical algorithm and runoff pollution monitoring data; performing unit area runoff pollution load statistical processing on the baseline runoff pollution load, and determining the baseline runoff pollution load equivalent corresponding to the baseline sub-catchment area in the preset year.

[0092] In the present embodiment, the runoff pollution monitoring data can be understood as the monitoring data obtained from 10-15 pollutant monitoring sessions at the reference subcatchment corresponding to the reference subcatchment in a predetermined year. For example, the runoff pollution monitoring data includes, but is not limited to, rainfall runoff volume and pollutant concentration data.

[0093] For example, a calculation formula for calculating the baseline runoff pollution load may be: La = C F ×Ψ×A×P×C×0.01;

[0094] Where La represents the baseline runoff pollution load of the baseline subcatchment area; C F represents the correction factor for rainfall that does not generate surface runoff (the proportion of rainfall events that generate runoff to total rainfall events), which is usually taken as 0.9; Ψ represents the average runoff coefficient of multiple sub-catchments; A represents the catchment area of ​​the reference sub-catchment; P represents the annual rainfall in a preset year; C represents the average pollutant concentration at the reference catchment outlet, obtained from the monitoring data of 10 to 15 monitoring rainfall events in the preset year.

[0095] Specifically, the obtained runoff pollution monitoring data is brought into the above calculation formula to obtain the benchmark runoff pollution load of the benchmark sub-catchment area in each characteristic area in a preset year.

[0096] For example, this embodiment uses COD (Chemical Oxygen Demand) as a representative pollution indicator for pollution load calculation. The baseline runoff pollution load parameters corresponding to the baseline subcatchment areas of the four characteristic areas in the target area are shown in the following table:

[0097] Table 1. Baseline runoff pollution load parameters

[0098] When data monitoring is only performed on the benchmark water outlets in the characteristic areas, the amount of monitored data is relatively small, and the sampling and monitoring methods for different areas are consistent, which reduces monitoring errors and improves data accuracy, thereby ensuring the accuracy of pollution load calculations.

[0099] Furthermore, the baseline runoff pollution load of the benchmark sub-catchment is statistically processed to determine the baseline runoff pollution load per unit area, thereby determining the baseline runoff pollution load equivalent for the benchmark sub-catchment in a preset year. Specifically, the statistical processing of the runoff pollution load per unit area may be performed by dividing the baseline runoff pollution load of any benchmark sub-catchment by the area corresponding to the benchmark sub-catchment to obtain the baseline runoff pollution load equivalent for the benchmark sub-catchment in the preset year.

[0100] For example, the processing expression used when performing unit area processing may be:

[0101] Where S represents the baseline runoff pollution load equivalent of the baseline subcatchment; La represents the baseline runoff pollution load of the baseline subcatchment; and Ms represents the area of ​​the baseline subcatchment.

[0102] In an embodiment of the present application, based on the calculation of the benchmark runoff pollution load equivalent corresponding to the benchmark sub-catchment area in each characteristic area in a preset year, the load characteristic factors of each characteristic area are obtained, and then a group of equations is constructed based on each benchmark runoff pollution load equivalent and each load characteristic factor, and the group of equations is solved to obtain the characteristic coefficient.

[0103] Optionally, the above process of obtaining the characteristic coefficient may specifically include: for any characteristic area, establishing a load-factor relationship equation between the benchmark load characteristic factor and the benchmark runoff pollution load equivalent in the current characteristic area; constructing a load-factor relationship equation group based on the load-factor relationship equation corresponding to each characteristic area, and determining the characteristic coefficient based on the preset coefficient correlation between the load-factor relationship equation group and each characteristic coefficient.

[0104] In related technologies, since the rainfall characteristics, pollution deposition characteristics, and economic and social activities of the same city or region are basically the same, the calculated runoff pollution load is less affected by the above factors. In addition, since the area of ​​the sub-catchment area is 2-3 km 2 Therefore, the runoff pollution load is less affected by the pipe network confluence when calculating the runoff pollution load. Therefore, the load characteristic factors when calculating the runoff pollution load mainly include: road and square ratio, building roof ratio, green space ratio, water surface wetland ratio and terrain slope factor.

[0105] On the basis of the above, for any characteristic area, a load-factor relationship equation is constructed between the benchmark load characteristic factor and the benchmark runoff pollution load equivalent. For example, the equation expression can be: S i =K pi ×(k 1i A i +k 2i B i +k 3i C i +k 4i D i );

[0106] Among them, S i A represents the baseline runoff pollution load equivalent of the baseline catchment sub-area in any characteristic area; i Indicates the ratio of road to square; B i Indicates the proportion of building roof; C i Indicates the proportion of green space; D i Indicates the proportion of water surface wetlands; K pi represents the terrain slope factor; k 1i Indicates the characteristic coefficient corresponding to the road-square ratio; k 2i Indicates the characteristic coefficient corresponding to the building roof ratio; k 3i Indicates the characteristic coefficient corresponding to the road green space ratio; k 4i Indicates the characteristic coefficient corresponding to the proportion of water surface wetlands.

[0107] Furthermore, the equation expressions corresponding to the load-factor relationship equations of the four characteristic regions obtained based on the above-mentioned region division method are calculated respectively, and the four equation expressions are combined to obtain the load-factor relationship equation group. For example, the equation group can be specifically: S1=K p1 ×(k 11 A1+k 21 B1+k 31 C1+k 41 D1); S2=K p2 ×(k 12 A2+k 22 B2+k 32 C2+k 42 D2); S3=K p3 ×(k 13 A3+k 23 B3+k 33 C3+k 43 D3); S4=K p4 ×(k 14 A4+k 24 B4+k 34 C4+k 44 D4);

[0108] On this basis, in order to solve the characteristic coefficients corresponding to each load characteristic factor in each characteristic area in the equation group, it is necessary to obtain the preset coefficient correlation between each characteristic coefficient, and then bring it into the above equation group to facilitate coefficient solution.

[0109] In an embodiment of the present application, the preset coefficient correlation between the characteristic coefficients can specifically be: the characteristic coefficients corresponding to the proportion of building roofs in different characteristic areas are equal; the characteristic coefficients corresponding to the proportion of water surface wetlands in different characteristic areas are equal; there is a preset proportional relationship between the characteristic coefficient corresponding to the proportion of green space and the characteristic coefficient corresponding to the proportion of road squares in the same characteristic area.

[0110] In related technologies, since the rainfall pollutants brought by rainfall in the same urban built-up area are basically the same, and the architectural styles of the same urban built-up area are basically the same, the water surface pollution load and building roof pollution load in each characteristic area of ​​the target area are basically the same, that is, k 41 =k 42 =k 43 =k 44 , k 21 =k 22 =k 23 =k 24 ;

[0111] Due to urban planning and construction, the green space load equivalent in the same urban built-up area is directly related to the road square. In related technologies, it can generally be set as k. 3i =(0.15-0.3)k 1i .

[0112] In related art, K pi It is related to the regional slope of the subcatchment area. When the slopes of different areas are basically the same, K pi The same value is taken as 1, and if they are different, appropriate corrections are made.

[0113] On the basis of the above, the factor values ​​and proportional values ​​of each load characteristic factor corresponding to each characteristic area are obtained; and the coefficient parameters after calculating each coefficient based on the above coefficient correlation are obtained, and the coefficient parameters and factor values ​​are brought into the above equation group to solve the equation group to obtain the solved characteristic coefficient values.

[0114] For example, the load-factor relationship equations are constructed by fitting the baseline runoff pollution load equivalent S of four different characteristic areas in a preset year with each load characteristic factor (each equation fitting needs to be substituted into ≥4 groups of data), and the characteristic coefficients obtained are as follows: S1=5979.4A1+673.4B1+1136.1C1+197.9D1; S2=6269.4A2+673.4B2+1630.1C2+197.9D2; S3=1946.5A3+673.4B3+447.7C3+197.9D3; S4=430.4A4+673.4B4+116.2C4+197.9D4;

[0115] Among them, S1, S2, S3, and S4 represent the benchmark runoff pollution compliance of the benchmark sub-catchment areas characterized by core commercial areas, living residential areas, industrial clusters, and low-impact development areas respectively; A i 、B i 、C i 、D i Represent the load characteristic factors of each benchmark sub-catchment area.

[0116] S230: Determine the runoff pollution load corresponding to the current sub-catchment area in a preset year based on the load characteristic factor and the characteristic coefficient.

[0117] In the embodiment of the present application, the target runoff pollution load can be understood as the runoff pollution load discharged from the target area through the target outlet.

[0118] It can be explained that since each outlet collects the runoff pollution load of multiple different sub-catchment areas, when calculating the target runoff pollution load corresponding to the target outlet, it is necessary to pre-calculate the runoff pollution load corresponding to each sub-catchment area corresponding to the target outlet.

[0119] Specifically, for any sub-catchment area corresponding to the target outlet, the load characteristic factor corresponding to the current sub-catchment area is obtained. For example, in this embodiment, the calculation of the other five sub-catchments in the urban built-up area is taken as an example. The following table shows the load characteristic factor information of the five sub-catchments:

[0120] Table 2 Load characteristic factor information table of sub-catchment area

[0121] Furthermore, the load characteristic factor and the characteristic coefficient calculated based on the above implementation are substituted into the load-factor relationship equation constructed in the above implementation to obtain the runoff pollution load corresponding to the current sub-catchment area.

[0122] For example, the expression for calculating the runoff pollution load of any subcatchment area can be: U i =Kpi ×(k 1i ×A′ i +k 2i ×B′ i +k 3i ×C′ i +k 4i ×D′ i );

[0123] Among them, U i A′ represents the runoff pollution load of any sub-catchment area corresponding to the target outlet; i , B′ i , C′ i , D′ i k represents the road and square ratio, building roof ratio, green space ratio, and water surface wetland ratio of each sub-catchment area; 1i 、k 2i 、k 3i 、k 4i Indicates the characteristic coefficients corresponding to the above-mentioned proportional factors; K pi represents the slope factor.

[0124] Furthermore, since the above-mentioned runoff pollution load is the pollution load per unit area of ​​the sub-catchment area, in order to calculate the target runoff pollution load, it is also necessary to calculate the runoff pollution load of the sub-catchment area based on the area of ​​the sub-catchment area.

[0125] For example, the expression for calculating the runoff pollution load can be: L i =U i ×M i ;

[0126] Among them, L i represents the runoff pollution load of any subcatchment area; U i represents the runoff pollution load of any subcatchment area; M i Represents the catchment area of ​​the subcatchment.

[0127] For example, the runoff pollution loads and runoff pollution load information calculated for the above five sub-catchment areas are shown in the following table;

[0128] Table 3 Runoff pollution load information

[0129] S240. Determine the sum of the runoff pollution loads of each sub-catchment area corresponding to the target outlet in a preset year, and correct the sum of the runoff pollution loads based on a time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

[0130] In an embodiment of the present application, since the target outlet collects runoff pollutants from a plurality of preset sub-catchment areas, the runoff pollution loads corresponding to each sub-catchment area corresponding to the target outlet are obtained based on the above-mentioned implementation method, and the runoff pollution loads are summed to obtain the sum of the runoff pollution loads for the preset year.

[0131] Furthermore, since the characteristic coefficient is determined using data from a preset year, if the target runoff pollution load for the target area is calculated for a different year, to improve data accuracy, a time correction factor between the predetermined target year and the preset year can be used to perform load correction on the sum of the calculated runoff pollution loads to obtain the runoff pollution load for the target year, i.e., the target runoff pollution load for the target area in the target year. Optionally, the correction coefficients for different years in this application are related to rainfall intensity, rainfall, and annual pollution characteristics. If the target year is different from the preset year, the time correction factor is generally determined to be 0.8-1.2.

[0132] Of course, in the above embodiment, the runoff pollution load can also be corrected in advance using a time correction factor when calculating the runoff pollution load corresponding to each sub-catchment area, and the corrected runoff pollution loads can be summed to obtain the target runoff pollution load. The embodiment of the present application does not specifically limit the execution order of the correction and summation.

[0133] For example, the expression for determining the target runoff load based on each runoff pollution load may be: L = ∑K n L i ;

[0134] Where L represents the target runoff pollution load; K n Indicates the time correction factor; L i Represents the runoff pollution load of any subcatchment.

[0135] For example, on the basis that the target area is the urban built-up area of ​​a city in the middle and lower reaches of the Yangtze River Basin, the sub-catchment areas corresponding to the target outlet in the target area are the above-mentioned first sub-catchment area and second sub-catchment area. Therefore, based on the above expression, the target runoff pollution load (in terms of COD) of the target outlet in the target year is statistically analyzed, and the statistical result is: L = 394952.4 + 378545.8 = 773498.2 (kg).

[0136] In the above technical solution, the load characteristic factors and corresponding characteristic coefficients of the pollution load formed when the runoff pollutants of each sub-catchment converge at the catchment outlet are determined by the benchmark runoff pollution load equivalent of the pre-selected benchmark sub-catchment area in the target area in the preset year, so as to quickly calculate the runoff pollution load of each sub-catchment area, and then quickly calculate the runoff pollution load of the target outlet in the target area, avoiding the technical problems that the calculation results are difficult to achieve the timeliness requirements and accuracy requirements of fast calculation due to large amounts of monitoring data, repeated monitoring, large random errors in monitoring, and long load calculation cycles, thereby improving the efficiency and accuracy of the calculation results of the runoff pollution load.

[0137] FIG3 is a schematic diagram of the structure of a runoff pollution load calculation device provided in an embodiment of the present application. Referring to FIG3 , the device includes: a target outlet determination module 310, a data acquisition module 320, a runoff pollution load determination module 330, and a target runoff pollution load determination module 340; wherein,

[0138] The target outlet determination module 310 is configured to determine a target outlet within a target area for which runoff pollution load is to be calculated; wherein the target area is composed of multiple characteristic areas with different regional characteristics; each characteristic area is composed of multiple sub-catchment areas; and the target area includes multiple outlets, each outlet collecting the runoff pollution load from multiple different sub-catchment areas.

[0139] Data acquisition module 320 is configured to obtain, for any subcatchment corresponding to a target outlet, a load characteristic factor corresponding to the current subcatchment and a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; wherein the load characteristic factor is a factor that affects the pollution load formed when runoff pollutants from each subcatchment converge at the outlet; the characteristic coefficient is determined based on the load characteristic factors corresponding to multiple preset subcatchments in the target area and the runoff pollution load equivalent for a preset year;

[0140] A runoff pollution load determination module 330 is configured to determine the runoff pollution load of the current sub-catchment in a preset year based on the load characteristic factors and characteristic coefficients;

[0141] The target runoff pollution load determination module 340 is used to determine the sum of the runoff pollution loads of each sub-catchment area corresponding to the target outlet in a preset year, and to correct the sum of the runoff pollution loads based on the time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

[0142] Optionally, the device further comprises:

[0143] a characteristic region determination unit, configured to obtain, before determining a target outlet for calculating the runoff pollution load within the target area, regional characteristic data affecting the runoff pollution load in different areas within the target area, and to divide the target area into functional areas based on the regional characteristic data to obtain a plurality of characteristic regions corresponding to the target area;

[0144] The sub-catchment area determination unit is used to divide the current characteristic area into catchment areas based on the rainfall catchment range for any characteristic area, and obtain multiple sub-catchment areas corresponding to the current characteristic area.

[0145] Optionally, the characteristic area includes a base subcatchment area and other subcatchments;

[0146] Accordingly, the data acquisition module 320 includes:

[0147] A submodule for determining a baseline runoff pollution load equivalent is used to determine, for any characteristic area, a baseline subcatchment area in the current characteristic area, obtain runoff pollution monitoring data for the baseline subcatchment area in a preset year, and determine a baseline runoff pollution load equivalent for the baseline subcatchment area in the preset year based on the runoff pollution monitoring data;

[0148] The characteristic coefficient determination submodule is used to obtain the benchmark load characteristic factors of each benchmark sub-catchment area corresponding to each characteristic area, and based on each benchmark load characteristic factor and each benchmark runoff pollution load equivalent, determine the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

[0149] Optionally, the baseline runoff pollution load equivalent determination submodule includes:

[0150] The benchmark runoff pollution load equivalent determination unit is used to obtain a preset runoff pollution load statistical algorithm, perform statistical processing of the runoff pollution load per unit area of ​​the benchmark sub-catchment area based on the runoff pollution load statistical algorithm and runoff pollution monitoring data, and determine the benchmark runoff pollution load equivalent corresponding to the benchmark sub-catchment area in the preset year.

[0151] Optionally, the characteristic coefficient determination submodule includes:

[0152] A load-factor relationship equation determination unit is used to establish, for any characteristic area, a load-factor relationship equation between a benchmark load characteristic factor and a benchmark runoff pollution load equivalent in the current characteristic area;

[0153] The characteristic coefficient determination unit is used to construct a load-factor relationship equation group based on the load-factor relationship equation corresponding to each characteristic area, and determine the characteristic coefficient based on the preset coefficient correlation between the load-factor relationship equation group and each characteristic coefficient.

[0154] Optionally, the load characteristic factors include road and square ratio, building roof ratio, green space ratio, water surface and wetland ratio, and terrain slope factor;

[0155] Accordingly, the load-factor relationship equation includes: S i =K pi ×(k 1i A i +k 2i B i +k 3i C i +k 4i D i );

[0156] Among them, S i A represents the baseline runoff pollution load equivalent of the baseline catchment sub-area in any characteristic area; i Indicates the ratio of road to square; B i Indicates the proportion of building roof; C i Indicates the proportion of green space; D i Indicates the proportion of water surface wetlands; K pi represents the terrain slope factor; k 1i Indicates the characteristic coefficient corresponding to the road-square ratio; k 2i Indicates the characteristic coefficient corresponding to the building roof ratio; k 3i Indicates the characteristic coefficient corresponding to the road green space ratio; k 4i Indicates the characteristic coefficient corresponding to the proportion of water surface wetlands.

[0157] Optionally, the coefficient correlation includes: the characteristic coefficients corresponding to the proportion of building roofs in different characteristic areas are equal; the characteristic coefficients corresponding to the proportion of water surface wetlands in different characteristic areas are equal; there is a preset proportional relationship between the characteristic coefficient corresponding to the proportion of green space and the characteristic coefficient corresponding to the proportion of road squares in the same characteristic area.

[0158] FIG4 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. As shown in FIG4 , the electronic device of this embodiment may include:

[0159] At least one processor 820; and a memory 804 communicatively connected to the at least one processor;

[0160] The memory 804 stores instructions that can be executed by at least one processor 820 , and the instructions are executed by at least one processor 820 to enable the server to execute a method as described in any of the above embodiments.

[0161] Optionally, the memory 804 may be independent or integrated with the processor 820 .

[0162] The implementation principle and technical effects of the electronic device provided in this embodiment can be found in the aforementioned embodiments and will not be described in detail here.

[0163] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method of any of the aforementioned embodiments is implemented.

[0164] An embodiment of the present application also provides a computer program product, including a computer program, which implements the method of any of the aforementioned embodiments when executed by a processor.

[0165] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is only a logical function division. In actual implementation, other division methods may be used. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not implemented.

[0166] The above-mentioned integrated module implemented in the form of a software functional module can be stored in a computer-readable storage medium. The above-mentioned software functional module is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform some steps of the methods of various embodiments of the present application.

[0167] It should be understood that the above-mentioned processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in the application may be directly embodied as being executed by a hardware processor, or may be executed by a combination of hardware and software modules in the processor. The memory may include high-speed random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk storage, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk, etc.

[0168] The storage medium may be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random-access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0169] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and storage medium can be located in an application-specific integrated circuit (ASIC). Of course, the processor and storage medium can also exist as discrete components in a server or a host control device.

[0170] Figure 5 is a block diagram of a terminal electronic device shown in an embodiment of the present application. The electronic device can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0171] Device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output interface 812 , a sensor component 814 , and a communication component 816 .

[0172] The processing component 802 generally controls the overall operation of the device 800, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 802 may include one or more modules to facilitate interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

[0173] The memory 804 is configured to store various types of data to support operations on the device 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0174] The power supply component 806 provides power to the various components of the device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 800.

[0175] The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor can not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0176] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), which is configured to receive external audio signals when the device 800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal can be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0177] The input / output interface 812 provides an interface between the processing component 802 and peripheral interface modules, such as a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0178] The sensor assembly 814 includes one or more sensors for providing various aspects of the status assessment of the device 800. For example, the sensor assembly 814 can detect the open / closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800. The sensor assembly 814 can also detect changes in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration / deceleration of the device 800, and temperature changes of the device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0179] The communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices. The device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0180] In an exemplary embodiment, the device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0181] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by the processor 820 of the device 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0182] A non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of a terminal electronic device, enables the terminal electronic device to execute the above-mentioned terminal electronic device method.

[0183] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0184] It should be understood that the present application is not limited to the exact structure described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for calculating runoff pollution load, characterized in that: The method comprises: Determining a target outlet within a target area for which runoff pollution load is to be calculated; wherein the target area is composed of a plurality of characteristic areas with different regional characteristics; the characteristic areas are composed of a plurality of sub-catchment areas; the target area includes a plurality of outlets, each outlet collecting the runoff pollution load from a plurality of different sub-catchment areas; For any subcatchment area corresponding to the target outlet, obtain the load characteristic factor corresponding to the current subcatchment area and the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; wherein the load characteristic factor is a factor that affects the pollution load formed when runoff pollutants from each subcatchment area converge at the outlet; the characteristic coefficient is determined based on the load characteristic factors corresponding to multiple preset subcatchments in the target area and the runoff pollution load equivalent in a preset year; determining the runoff pollution load of the current sub-catchment area in the preset year based on the load characteristic factor and the characteristic coefficient; The sum of the runoff pollution loads of each of the sub-catchment areas corresponding to the target outlet in the preset year is determined, and the sum of the runoff pollution loads is corrected based on a time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

2. The method according to claim 1, characterized in that Before determining the target outlet for calculating the runoff pollution load in the target area, the method further includes: Acquiring regional characteristic data that affects runoff pollution loads in different areas within the target area, and dividing the target area into functional areas based on the regional characteristic data to obtain a plurality of characteristic areas corresponding to the target area; For any characteristic region, the current characteristic region is divided into catchment areas based on the rainfall catchment range to obtain a plurality of sub-catchment areas corresponding to the current characteristic region.

3. The method according to claim 1 or 2, characterized in that The characteristic area includes the benchmark sub-catchment area and other sub-catchment areas; Accordingly, the characteristic coefficient is determined based on the load characteristic factors corresponding to the plurality of preset sub-catchment areas in the target area and the runoff pollution load equivalent in a preset year, including: For any characteristic area, determining a reference subcatchment area in the current characteristic area, obtaining runoff pollution monitoring data of the reference subcatchment area in a preset year, and determining a reference runoff pollution load equivalent of the reference subcatchment area in the preset year based on the runoff pollution monitoring data; Obtain the benchmark load characteristic factors of each benchmark sub-catchment area corresponding to each characteristic area, and based on each benchmark load characteristic factor and each benchmark runoff pollution load equivalent, determine the characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor.

4. The method according to claim 3, characterized in that The determining of the baseline runoff pollution load equivalent of the baseline subcatchment area in the preset year based on the runoff pollution monitoring data includes: Obtaining a preset runoff pollution load statistical algorithm, and determining a baseline runoff pollution load of the baseline subcatchment area based on the runoff pollution load statistical algorithm and the runoff pollution monitoring data; The benchmark runoff pollution load is statistically processed to determine the benchmark runoff pollution load equivalent corresponding to the benchmark sub-catchment area in the preset year.

5. The method according to claim 3, characterized in that The determining, based on each of the benchmark load characteristic factors and each of the benchmark runoff pollution load equivalents, a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor includes: For any characteristic area, establishing a load-factor relationship equation between the benchmark load characteristic factor and the benchmark runoff pollution load equivalent in the current characteristic area; A load-factor relationship equation group is constructed based on the load-factor relationship equation corresponding to each of the characteristic regions, and the characteristic coefficient is determined based on a preset coefficient correlation between the load-factor relationship equation group and each of the characteristic coefficients.

6. The method according to claim 5, characterized in that The load characteristic factors include road and square ratio, building roof ratio, green space ratio, water surface wetland ratio and terrain slope factor; Accordingly, the load-factor relationship equation includes: S i =K pi ×(k 1i A i +k 2i B i +k 3i C i +k 4i D i ); Among them, S i A represents the baseline runoff pollution load equivalent of the baseline catchment sub-area in any characteristic area; i Indicates the ratio of road to square; B i Indicates the proportion of building roof; C i Indicates the proportion of green space; D i Indicates the proportion of water surface wetlands; K pi represents the terrain slope factor; k 1i Indicates the characteristic coefficient corresponding to the road-square ratio; k 2i Indicates the characteristic coefficient corresponding to the building roof ratio; k 3i Indicates the characteristic coefficient corresponding to the road green space ratio; k 4i Indicates the characteristic coefficient corresponding to the proportion of water surface wetlands.

7. The method according to claim 6, characterized in that The coefficient correlation includes: the characteristic coefficients corresponding to the proportion of building roofs in different characteristic areas are equal; the characteristic coefficients corresponding to the proportion of water surface wetlands in different characteristic areas are equal; there is a preset proportional relationship between the characteristic coefficient corresponding to the proportion of green space and the characteristic coefficient corresponding to the proportion of road squares in the same characteristic area.

8. A runoff pollution load calculation device, characterized in that: The device comprises: A target outlet determination module is configured to determine a target outlet within a target area for which runoff pollution load is to be calculated; wherein the target area is composed of a plurality of characteristic areas with different regional characteristics; the characteristic areas are composed of a plurality of sub-catchment areas; the target area includes a plurality of outlets, each outlet collecting the runoff pollution load from a plurality of different sub-catchment areas; a data acquisition module configured to obtain, for any subcatchment corresponding to a target outlet, a load characteristic factor corresponding to the current subcatchment and a characteristic coefficient corresponding to the load characteristic factor when calculating the runoff pollution load based on the load characteristic factor; wherein the load characteristic factor is a factor that affects the pollution load formed when runoff pollutants from each subcatchment converge at the outlet; and the characteristic coefficient is determined based on the load characteristic factors corresponding to a plurality of preset subcatchments in the target area and the runoff pollution load equivalent for a preset year; a runoff pollution load determination module, configured to determine the runoff pollution load of the current sub-catchment area in the preset year based on the load characteristic factor and the characteristic coefficient; The target runoff pollution load determination module is used to determine the sum of the runoff pollution loads of each sub-catchment area corresponding to the target outlet in the preset year, and to correct the sum of the runoff pollution loads based on the time correction factor between the target year and the preset year to determine the target runoff pollution load corresponding to the target outlet in the target year.

9. A terminal electronic device, characterized in that: include: a processor and a memory communicatively connected to the processor; The memory stores computer-executable instructions; When executing the computer-executable instructions, the processor is used to implement the runoff pollution load calculation method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the runoff pollution load calculation method according to any one of claims 1 to 7.

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