River flood season pollution monitoring and early warning method, system, equipment and medium

Abstract

The invention provides a river flood season pollution monitoring and early warning method, system, device and medium, and the method comprises the steps: collecting water body samples of each monitoring region in a target river, and determining the heavy metal pollution degree of each water body sample; determining the flow active state of the heavy metal pollutants according to the rainfall intensity of the area where the target river is located and all the heavy metal pollution degrees, performing diffusion simulation on migration of the heavy metal pollutants through all the flow active states to obtain pollution plumes, and performing diffusion recombination on all the pollution plumes to obtain the heavy metal pollutants. The method comprises the steps of obtaining a diffusion distribution diagram of heavy metal pollutants, determining a plurality of pollution overlapping areas, determining the migration flux of the heavy metal pollutants according to the flow velocity gradient among hydrodynamic data, and sending a pollution early warning to a monitoring management center of a target river when the migration flux is greater than a pollutant threshold value. And monitoring and early warning can be carried out on the overall water pollution of the target river under the influence of pollutant accumulation caused by flowing of pollutants along with the water body.

Description

Technical Field

[0001] The present application relates to the technical field of river flood season pollution monitoring, and more specifically, to a river flood season pollution monitoring and early warning method, system, equipment and medium. Background Art

[0002] Monitoring and early warning technology is a technical means based on real-time data collection and analysis, which aims to timely discover, predict and respond to potential risks. It is widely used in the fields of environment, public safety, meteorology, disaster warning, industrial safety, etc.

[0003] River flood season pollution monitoring and early warning refers to the timely discovery of potential risks of water pollution through real-time monitoring of the concentration, flow state and other relevant indicators of pollutants in water bodies, combined with data analysis and prediction models, and issuing warnings when the concentration of pollutants reaches a certain threshold, reminding relevant departments or the public to take countermeasures. In the existing river flood season pollution monitoring and early warning, pollution information of a large area of ​​water is obtained through satellite remote sensing, drone remote sensing, etc., combined with geographic information systems (GIS) for spatial analysis and pollution source tracking, or using data analysis and machine learning models to process a large amount of historical and real-time water quality data to identify pollution patterns and predict pollution trends. However, during rainfall, due to the influence of pollutant flow, the water pollution situation in a single area is not enough to represent the overall water pollution situation of the target river. Therefore, how to monitor and warn the overall water pollution of the target river under the influence of pollutant accumulation caused by the flow of pollutants with the water body has become a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a method, system, equipment and medium for monitoring and warning of river pollution during flood season, which can monitor and warn of the overall water pollution of a target river under the influence of pollutant accumulation caused by the flow of pollutants in the water body.

[0005] In a first aspect, the present application provides a method for monitoring and early warning of river pollution during flood season, comprising the following steps: Collect water samples from each monitoring area in the target river where rainfall occurs, and then determine the heavy metal pollution level of each water sample; The flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all heavy metal pollution levels in the target river area. The migration of heavy metal pollutants in the target river is simulated through all the flow activity states to obtain the pollution plume in each monitoring area. Based on the pollution distance between each monitoring area, all pollution plumes are diffusely reorganized to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map; Measure the hydrodynamic data of each pollution overlap zone, and determine the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data; When the migration flux is greater than the pollutant threshold, a pollution warning is sent to the monitoring and management center of the target river.

[0006] In some embodiments, determining the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all heavy metal pollution levels in the target river area specifically includes: Obtain the location coordinates of each monitoring area and the rainfall intensity in the area where the target river is located; Determine the pollution deviation of each monitoring area based on all heavy metal pollution levels; The flow activity state of heavy metal pollutants in each monitoring area is determined based on the rainfall intensity and all pollution deviations.

[0007] In some embodiments, the migration of heavy metal pollutants in the target river is simulated by diffusion through all flow activity states, and the pollution plumes in each monitoring area are obtained, specifically including: Selecting a monitoring area as a selected monitoring area, determining a water flow velocity in the selected monitoring area and a plurality of migration vectors in the selected monitoring area; Determine the migration and diffusion speed of heavy metal pollutants in the selected monitoring area according to the flow activity state corresponding to the selected monitoring area and the water flow speed; determining a pollution plume in a selected monitoring area based on the migration diffusion velocity and the migration vector; Continue to identify contamination plumes in the remaining monitoring areas.

[0008] In some embodiments, all pollution plumes are diffusely reorganized based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, specifically including: Determine the contamination distance between each monitoring interval; Determine the pollution diffusion network of the target river according to all pollution distances; Select a monitoring area as the selected monitoring area; Reorganizing the pollution plume in the selected monitoring area according to the pollution diffusion network and the water flow velocity in the selected monitoring area to obtain the reorganized pollution plume in the selected monitoring area; Continue to reorganize the contamination plume in the remaining monitoring areas; The diffusion distribution map of heavy metal pollutants in the target river is determined based on all reconstructed pollution plumes.

[0009] In some embodiments, determining multiple pollution overlapping areas of a target river through the diffusion distribution map specifically includes: determining a plurality of high contamination areas in the diffusion distribution map; Multiple pollution overlapping areas of the target river are determined based on all the high pollution areas.

[0010] In some embodiments, determining the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data specifically includes: Determine the velocity gradient between various hydrodynamic data; Selecting a contaminated overlap area as a selected contaminated overlap area; determining a diffusion flux of a selected contaminated overlap region based on the flow velocity gradient; Determine the migration flux of heavy metal pollutants in the selected pollution overlap area per unit time based on the diffusion flux and the hydrodynamic data of the selected pollution overlap area; Continue to determine the migration flux of heavy metal pollutants per unit time in the remaining pollution overlap area.

[0011] In some embodiments, water samples from various monitoring areas in a target river where rainfall occurs are collected by an automatic water quality sampler.

[0012] In a second aspect, the present application provides a river flood season pollution monitoring and early warning system, comprising: The collection module is used to collect water samples from each monitoring area in the target river where rainfall occurs, and then determine the heavy metal pollution degree of each water sample; A processing module is used to determine the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all heavy metal pollution degrees in the target river area, and to perform diffusion simulation on the migration of heavy metal pollutants in the target river through all flow activity states to obtain the pollution plume in each monitoring area; The processing module is further used to diffusely reorganize all pollution plumes based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then determine multiple pollution overlapping areas of the target river through the diffusion distribution map; The processing module is further used to measure the hydrodynamic data of each pollution overlap zone, and determine the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data; The execution module is used to send a pollution warning to the monitoring and management center of the target river when the migration flux is greater than the pollutant threshold.

[0013] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned river flood season pollution monitoring and early warning method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned river flood season pollution monitoring and early warning method is implemented.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: In the river flood season pollution monitoring and early warning method, system, equipment and medium provided by the present application, water samples of each monitoring area in the target river where rainfall occurs are first collected, and then the heavy metal pollution degree of each water sample is determined; the flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all heavy metal pollution degrees in the area where the target river is located, and the migration of heavy metal pollutants in the target river is diffusely simulated through all flow activity states to obtain the pollution plumes in each monitoring area; all pollution plumes are diffusely reorganized based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map; the hydrodynamic data of each pollution overlapping area is measured, and the migration flux of heavy metal pollutants in each pollution overlapping area per unit time is determined according to the flow velocity gradient between each hydrodynamic data; when the migration flux is greater than the pollutant threshold, a pollution warning is sent to the monitoring and management center of the target river.

[0016] It can be seen that in the process of the river flood season pollution monitoring and early warning method of the present application, first, water samples of each monitoring area in the target river where rainfall occurs are collected, and then the heavy metal pollution degree of each water sample is determined, and the flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees. The flow activity state refers to the dynamic behavior of the heavy metal pollutants in each monitoring area migrating in the water body during rainfall, which is used to reflect the activity and movement state of heavy metal pollutants in the water body. The migration of heavy metal pollutants in the target river is diffusely simulated through all the flow activity states to obtain the pollution plumes in each monitoring area. The pollution plume refers to the heavy metal pollutants in each monitoring area that are affected by rainfall. During the outward diffusion of water bodies, the concentration of heavy metal pollutants gradually decreases in space to form a regional range or spatial range of concentration gradient distribution, which is used to monitor the migration changes of heavy metal pollutants in the target river during rainfall. Secondly, all pollution plumes are diffused and reorganized based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map; the hydrodynamic data of each pollution overlapping area is measured, and the migration flux of heavy metal pollutants in each pollution overlapping area per unit time is determined according to the flow velocity gradient between each hydrodynamic data; when the migration flux is greater than the pollutant threshold, a pollution warning is sent to the monitoring and management center of the target river. The above scheme can monitor and warn the overall water pollution of the target river under the influence of pollutant accumulation caused by the flow of pollutants with the water body. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a method for monitoring and early warning of river pollution during flood season according to some embodiments of the present application; Figure 2 is an exemplary flow chart of determining a flow activity state according to some embodiments of the present application; Figure 3 is a schematic diagram of dividing blocks according to some embodiments of the present application; Figure 4 is a schematic diagram of the structure of a river flood season pollution monitoring and early warning system according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a method for monitoring and early warning of river pollution during flood season as shown in some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1, which is an exemplary flow chart of a method for monitoring and early warning of river pollution during flood season according to some embodiments of the present application. The method 100 for monitoring and early warning of river pollution during flood season mainly includes the following steps: In step 101, water samples are collected from each monitoring area of ​​a target river where rainfall occurs, and then the heavy metal pollution degree of each water sample is determined.

[0020] In the specific implementation, multiple areas with stable water flow in the target river are obtained from the database of the monitoring and management center of the target river, and all the above-mentioned areas with stable water flow are used as monitoring areas of the target river. Water samples of each monitoring area in the target river where rainfall occurs are collected through a water quality automatic sampler (such as GS-CYQ water quality proportional automatic sampler), and the heavy metal concentrations of all collected water samples are measured in combination with heavy metal detection methods (such as atomic absorption spectroscopy), and all measured heavy metal concentrations are used as the heavy metal pollution degree of the corresponding monitoring area. Other methods can also be used to achieve this in other embodiments, which will not be repeated here.

[0021] In step 102, the flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all heavy metal pollution levels in the target river area, and the migration of heavy metal pollutants in the target river is diffusely simulated through all flow activity states to obtain the pollution plume in each monitoring area.

[0022] In some embodiments, reference Figure 2 As shown, this figure is an exemplary flow chart for determining the active flow state in some embodiments of the present application. In this embodiment, the active flow state of heavy metal pollutants in each monitoring area can be determined according to the rainfall intensity and all heavy metal pollution levels in the area where the target river is located, which can be achieved by the following steps: First, in step 1021, the location coordinates of each monitoring area and the rainfall intensity of the area where the target river is located are obtained; Next, in step 1022, the pollution deviation of each monitoring area is determined based on all heavy metal pollution levels; Finally, in step 1023, the flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all pollution deviations.

[0023] In specific implementation, the location coordinates of each monitoring area and the rainfall intensity in the area where the target river is located can be obtained in the following manner, namely: the calibration points of the geographic coordinates of each monitoring area in the target river are obtained through a geographic information system (such as GIS positioning), and all the calibration points of the geographic coordinates are uploaded to the monitoring and early warning center of the target river, and the location coordinates of each monitoring area relative to the target river are obtained in combination with the pixel coordinates of the calibration points of the target river collected by the monitoring and early warning center, wherein the location coordinates are two-dimensional spatial coordinates of each monitoring area, including a horizontal coordinate and a vertical coordinate, and one monitoring area corresponds to one location coordinate, and the rainfall intensity of the area is monitored by the meteorological information center of the area where the target river is located; in other embodiments, other methods can also be used for determination, which are not limited here.

[0024] In specific implementation, the pollution deviation of each monitoring area is determined according to all heavy metal pollution levels, which can be achieved in the following manner, namely: select a monitoring area as the selected monitoring area, select a monitoring area other than the selected monitoring area as the comparison area, subtract the heavy metal pollution level of the comparison area from the heavy metal pollution level corresponding to the selected monitoring area, use the subtraction value as the pollution difference value between the selected monitoring area and the comparison area, continue to determine the pollution difference value between the selected monitoring area and the remaining monitoring areas, and take the average of all pollution difference values ​​as the pollution deviation of the selected monitoring area, wherein the pollution deviation is a parameter value that describes the degree of deviation of the heavy metal pollution levels between the selected monitoring area and the remaining monitoring areas, and continue to determine the pollution deviation of the remaining monitoring areas; in other embodiments, other methods may also be used for determination, which are not limited here.

[0025] In specific implementation, the flow active state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all pollution deviations, which can be achieved in the following manner, namely: select a monitoring area as the selected monitoring area, initialize a flow active state model, use the pollution deviation of the selected monitoring area as the initialization parameter of the flow active state model, and use the rainfall intensity as the constraint parameter of the flow active state model, and then obtain the flow active state of heavy metal pollutants in the selected monitoring area through the flow active state model, wherein the flow active state model is a flow active state model established using a machine learning algorithm (such as a decision tree, a neural network, etc.), and the model is, for example: the flow active state of heavy metal pollutants in the selected monitoring area = the pollution deviation of the selected monitoring area (i.e., initialization parameter) * A + rainfall intensity (i.e., constraint parameter) * B, wherein A and B are weight coefficients, and A and B can be determined by fitting the historical data set of the flow active state of training heavy metal pollutants according to a multivariate linear regression method (such as the least squares method); continue to determine the flow active state of heavy metal pollutants in the remaining monitoring areas; in other embodiments, other methods can also be used to determine, which are not limited here.

[0026] It should be noted that the active flow state in this application refers to the dynamic behavior of heavy metal pollutants migrating in the water body in each monitoring area during rainfall, including the flow velocity, flow direction and water mixing coefficient of heavy metal pollutants changing with distance and time. It is used to reflect the activity and movement state of heavy metal pollutants in the water body, which facilitates the subsequent analysis of the diffusion of heavy metal pollutants in the water body.

[0027] In some embodiments, the diffusion simulation of the migration of heavy metal pollutants in the target river through all flow activity states to obtain the pollution plume in each monitoring area can be achieved by the following steps: Selecting a monitoring area as a selected monitoring area, determining a water flow velocity in the selected monitoring area and a plurality of migration vectors in the selected monitoring area; Determine the migration and diffusion speed of heavy metal pollutants in the selected monitoring area according to the flow activity state corresponding to the selected monitoring area and the water flow speed; determining a pollution plume in a selected monitoring area according to the migration diffusion velocity and the migration vector; Continue to identify contamination plumes in the remaining monitoring areas.

[0028] In specific implementation, determining the water flow velocity of the selected monitoring area and multiple migration vectors of the selected monitoring area can be achieved in the following manner, namely: arranging an underwater sensor (such as a Turbidity sensor) in the selected monitoring area, monitoring the water flow velocity of the selected monitoring area in real time through the underwater sensor, selecting a monitoring area from the remaining monitoring areas as a comparison monitoring area, subtracting the horizontal coordinate of the comparison monitoring area from the horizontal coordinate of the selected monitoring area, and using the subtraction value as the horizontal component of the migration vector between the selected monitoring area and the comparison monitoring area, subtracting the vertical coordinate of the comparison monitoring area from the vertical coordinate of the selected monitoring area, and using the subtraction value as the vertical component of the migration vector between the selected monitoring area and the comparison monitoring area, and using the vector composed of the above-mentioned horizontal component and the above-mentioned vertical component and the vector composed of the direction of the line connecting the position coordinates of the selected monitoring area and the comparison monitoring area as the migration vector between the selected monitoring area and the comparison monitoring area, wherein the migration vector is a vector describing the migration direction of heavy metal pollutants in the selected monitoring area and the comparison monitoring area, and continuing to determine the migration vector between the selected monitoring area and the remaining monitoring areas; in other embodiments, other methods can also be used for determination, which are not limited here.

[0029] In specific implementation, the migration and diffusion speed of heavy metal pollutants in the selected monitoring area can be determined according to the flow activity state corresponding to the selected monitoring area and the water flow velocity, which can be achieved in the following manner, namely: adding the flow velocity in the flow activity state corresponding to the selected monitoring area and the rainfall intensity to obtain a first value, adding the water flow velocity and the rainfall intensity in the selected monitoring area, multiplying the added value by the first value, and using the multiplied value as the migration and diffusion speed of heavy metal pollutants in the selected monitoring area, wherein the migration and diffusion speed is a parameter value that describes the speed at which heavy metal pollutants in the selected monitoring area migrate with the flow of water during rainfall; in other embodiments, other methods can also be used to determine, which are not limited here.

[0030] In specific implementation, the pollution plume in the selected monitoring area is determined according to the migration diffusion speed and the migration vector, which can be achieved in the following manner, namely: the velocity vector of the water flow of the target river is obtained from the inspection and early warning center of the target river, wherein the velocity vector is a vector describing the speed and direction of the water flow in the target river, and a monitoring area is selected from the remaining monitoring areas as a comparison monitoring area. If the angle between the migration vector between the selected monitoring area and the comparison monitoring area and the velocity vector of the target river is not between plus or minus sixty degrees (including sixty degrees), then a monitoring area is selected from the remaining monitoring areas as a comparison monitoring area. Otherwise, the distance between the position coordinates of the selected monitoring area and the comparison monitoring area is used as the diameter, and the midpoint of the position coordinates between the selected monitoring area and the comparison monitoring area is used as the center of a circle combined with the above diameter to draw a circle, and reference is made to the diameter. Figure 3As shown, the figure is a schematic diagram of dividing the above circle in some embodiments of the present application, the horizontal component and the vertical component of the migration vector between the selected monitoring area and the comparison monitoring area are both rounded down, the vertical component is rounded down to obtain the value to evenly divide the above circle in the vertical direction, and the horizontal component is rounded down to obtain the value to evenly divide the above vertically divided circle in the horizontal direction, to obtain a plurality of partition blocks, one of the partition blocks is selected as the selected partition block, and the average value of the heavy metal pollution concentration of the selected monitoring area and the comparison monitoring area, the migration and diffusion speed of the selected monitoring area, the rainfall intensity in the area where the target river is located, and the selected monitoring area and the comparison area are obtained. The migration vector between the monitoring areas and the coordinates of the selected partition blocks are combined with the Gaussian plume formula to obtain the environmental concentration of the selected partition blocks, and the environmental concentrations of the remaining partition blocks are further determined, wherein the environmental concentration is a parameter value that describes the concentration of heavy metal pollutants in the selected monitoring area when they reach the selected partition blocks with the water body during rainfall, and multiple environmental concentrations between the selected monitoring area and the remaining monitoring areas are further determined, and the range of all the obtained environmental concentrations and the set of the coordinates of the partition blocks corresponding to all the environmental concentrations are used as the pollution plume of heavy metal pollutants in the selected monitoring area during rainfall; in other embodiments, other methods can also be used for determination, which are not limited here.

[0031] It should be noted that the pollution plume in this application refers to the regional or spatial range of a concentration gradient distribution formed by the gradual decrease in the concentration of heavy metal pollutants in the river during the diffusion of heavy metal pollutants in each monitoring area with the water body due to rainfall. It is used to monitor the migration changes of heavy metal pollutants in the target river, so as to facilitate the subsequent tracking of the main pollution range of heavy metal pollutants.

[0032] In step 103, all pollution plumes are diffusely reorganized based on the pollution distances between the various monitoring areas to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map.

[0033] In some embodiments, all pollution plumes are diffusely reorganized based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, which can be achieved by the following steps: Determine the contamination distance between each monitoring interval; Determine the pollution diffusion network of the target river according to all pollution distances; Select a monitoring area as the selected monitoring area; Reorganizing the pollution plume in the selected monitoring area according to the pollution diffusion network and the water flow velocity in the selected monitoring area to obtain the reorganized pollution plume in the selected monitoring area; Continue to reorganize the contamination plume in the remaining monitoring areas; The diffusion distribution map of heavy metal pollutants in the target river is determined based on all reconstructed pollution plumes.

[0034] In specific implementation, the pollution distance between each monitoring interval can be determined in the following way, namely: A monitoring area is selected as the selected monitoring area, and a monitoring area other than the selected monitoring area is selected as the comparison area. The horizontal coordinate of the comparison area is subtracted from the horizontal coordinate corresponding to the selected monitoring area, and the square of the value obtained by subtraction and the square of the difference between the vertical coordinates of the selected monitoring area and the comparison area are added to obtain a second value. The square of the first value is added to the square of the second value, and the value obtained by the addition is squared, and the value obtained by the square root operation is used as the pollution radius between the selected monitoring area and the comparison monitoring area, wherein the pollution radius is a parameter value describing the distance of mutual influence of heavy metal pollutants between the selected monitoring area and the comparison monitoring area, and the pollution radius of the selected monitoring area and the remaining monitoring areas is continued to be determined, and the average of all pollution radii is used as the pollution distance of the selected monitoring area, wherein the pollution distance is a parameter value describing the range of mutual influence of heavy metal pollutants between the selected monitoring area and the remaining monitoring areas, and the pollution distance of the remaining monitoring areas is continued to be determined; in other embodiments, other methods can also be used for determination, which are not limited here.

[0035] In specific implementation, the pollution diffusion network of the target river is determined according to all pollution distances, which can be implemented in the following manner, namely: select a monitoring area as the selected monitoring area, select a monitoring area other than the selected monitoring area as the comparison area, subtract the horizontal coordinate of the comparison area from the horizontal coordinate of the selected monitoring area to obtain a first value, subtract the vertical coordinate of the comparison area from the vertical coordinate of the selected monitoring area to obtain a second value, add the square of the first value to the square of the second value, perform a square root operation on the value obtained by the addition, compare the value obtained by the square root operation with the pollution distance corresponding to the selected monitoring area, if the pollution distance corresponding to the selected monitoring area is greater than or equal to the value obtained by the square root operation, then both the selected monitoring area and the comparison monitoring area are used as nodes, and the two nodes are connected, and the selected monitoring area is continuously judged and connected with the remaining monitoring areas, and all the edges and points after the above connection are used as the pollution diffusion network of the target river, wherein the pollution diffusion network is a relationship network that describes the process of pollutant diffusion in the target river, and the coordinates of the nodes are the coordinates of the monitoring area corresponding to the nodes; in other embodiments, other methods can also be used for determination, which are not limited here.

[0036] In specific implementation, the pollution plume of the selected monitoring area is reorganized according to the pollution diffusion network and the water flow velocity of the selected monitoring area, and the pollution plume reorganized in the selected monitoring area can be achieved in the following manner, namely: the water flow velocity of the selected monitoring area is uploaded to the geographic information system for flow direction processing to obtain the water flow direction vector of the selected monitoring area, and mark bits are set for all nodes and edges in the pollution diffusion network. Initially, the values ​​of all mark bits are 0, and the node corresponding to the selected monitoring area is used as the root node; a node is selected from all nodes connected to the corresponding node of the selected monitoring area as the selected node, and the difference between the horizontal coordinates of the selected node and the root node and the difference between the vertical coordinates of the selected node and the root node form a two-dimensional vector, and the obtained two-dimensional vector is parallel to the water flow direction vector. If the two-dimensional vector is parallel to the water flow direction vector and the value of the outer product of the two-dimensional vector and the water flow direction vector is positive, then the horizontal coordinate of the root node is subtracted from the horizontal coordinate of the selected node to obtain the first value, the vertical coordinate of the root node is subtracted from the vertical coordinate of the selected node, the square of the subtracted value is added to the square of the first value, and the added value is used as the value between the root node and the selected node. The pollution diffusion radius is a range radius that describes the migration of heavy metal pollutants between the monitoring area corresponding to the root node and the monitoring area corresponding to the selected node. If the mark bit of the selected node is 0, the mark bit of the corresponding node is set to 1, the mark of the edge between the two is set to 1, and the selected node is used as the new root node. The pollution diffusion radius between the new root node and the remaining nodes connected to the node corresponding to the selected monitoring area is continued to be determined. The mean value of all pollution diffusion radii is used as the radius, and the coordinates of the selected monitoring area are used as the center of the circle to draw a circle. The mean value of all pollution diffusion radii is rounded down, and the value obtained by rounding down is used to evenly divide the above circle in the vertical direction, and then the circle after vertical division is evenly divided in the horizontal direction according to the value obtained by rounding down. The environmental concentration of all divided areas in the above circle is calculated by the Gaussian plume formula, and the range of all environmental concentrations and the set of coordinates corresponding to all environmental concentrations are incorporated into the pollution plume of the selected monitoring area to obtain the reorganized pollution plume of the selected monitoring area. In other embodiments, other methods can also be used for determination, which are not limited here.

[0037] In specific implementation, the diffusion distribution map of heavy metal pollutants in the target river can be determined based on all reorganized pollution plumes in the following manner, namely: select a reorganized pollution plume as the selected pollution plume, upload all environmental concentrations in the selected pollution plume and the coordinates corresponding to all environmental concentrations to visualization software (such as ArcGIS) for data visualization processing, obtain a visualization image of the selected pollution plume, continue to visualize the remaining pollution plumes, and use a collection of visualization images of all pollution plumes as the diffusion distribution map of heavy metal pollutants in the target river; in other embodiments, other methods can also be used for determination, which are not limited here.

[0038] It should be noted that the diffusion distribution map in the present application is an image that describes the distribution of heavy metal pollutants in each monitoring area after diffusion by rainfall. It is used to reflect the migration process of heavy metal pollutants in the target river with the water body, which facilitates the subsequent analysis of the cross-contamination of heavy metal pollutants.

[0039] In some embodiments, determining multiple pollution overlapping areas of a target river through the diffusion distribution map may be achieved in the following manner, namely: determining a plurality of high contamination areas in the diffusion distribution map; Multiple pollution overlapping areas of the target river are determined based on all the high pollution areas.

[0040] In specific implementation, determining multiple high-pollution areas in the diffusion distribution map can be achieved in the following manner, namely: dividing the diffusion distribution map into multiple grids through a data management module in a geographic information system (such as ArcGIS), counting the total environmental concentration in each grid, selecting a grid as a selected grid, comparing the total environmental concentration of the selected grid with the mean of all environmental concentrations, if the total environmental concentration of the selected grid is greater than the mean of all environmental concentrations, then marking the selected grid in red in the diffusion distribution map, if the total environmental concentration of the selected grid is less than or equal to the mean of all environmental concentrations, then no operation is performed on the selected grid, and the remaining grids are continued to be judged, and the areas composed of the grids marked in red in each pollution plume are all used as the high-pollution areas of each corresponding pollution plume, wherein the high-pollution area refers to the area where the pollution concentration of heavy metal pollutants is higher than the mean, and one pollution plume corresponds to one high-pollution area; in other embodiments, other methods can also be used for determination, which is not limited here.

[0041] In specific implementation, the following method can be used to determine multiple pollution overlapping areas of the target river based on all high-pollution areas, namely: select any two pollution plumes as the selected two pollution plumes, if there are overlapping red-marked areas in the high-pollution areas of the selected two pollution plumes in the diffusion distribution map, then use the above-mentioned overlapping red-marked areas as the pollution overlapping areas of the selected two pollution plumes, and continue to determine the pollution overlapping areas of the remaining any two high-pollution areas, wherein one pollution overlapping area corresponds to multiple pollution plumes; in other embodiments, other methods can also be used for determination, which are not limited here.

[0042] It should be noted that the pollution overlap zone in the present application refers to the area where heavy metal pollutants in various monitoring areas of the target river diffuse with the water body and intersect with each other, causing the pollution concentration to increase. It is used to evaluate the aggregation of heavy metal pollutants in the target river and facilitate the implementation of control measures in the pollution overlap zone of the target river.

[0043] In step 104, the hydrodynamic data of each pollution overlap area is measured, and the migration flux of heavy metal pollutants in each pollution overlap area per unit time is determined according to the flow velocity gradient between each hydrodynamic data.

[0044] In the specific implementation, a pollution overlap area is selected as the selected pollution overlap area, and the velocity, flow direction and water cross-sectional area of ​​the water flow in the selected pollution overlap area are comprehensively measured by an acoustic Doppler current meter (ADCP) combined with GIS software (such as ArcGIS), and all the collected data are used as the hydrodynamic data of the selected pollution overlap area, wherein the water cross-sectional area refers to the vertical cross-sectional area through which the water flows, and the hydrodynamic data is data that describes the flow characteristics and logistics status of the water body, and the hydrodynamic data of the remaining pollution overlap areas are further determined. In other embodiments, other methods can also be used to obtain the data, which will not be repeated here.

[0045] In some embodiments, determining the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data can be achieved by the following steps: Determine the velocity gradient between various hydrodynamic data; Selecting a contaminated overlap area as a selected contaminated overlap area; determining a diffusion flux of a selected contaminated overlap region based on the flow velocity gradient; Determine the migration flux of heavy metal pollutants in the selected pollution overlap area per unit time based on the diffusion flux and the hydrodynamic data of the selected pollution overlap area; Continue to determine the migration flux of heavy metal pollutants per unit time in the remaining pollution overlap area.

[0046] In specific implementation, the flow velocity gradient between each hydrodynamic data can be determined by the following steps: initialize a flow velocity gradient model, use the flow velocity in all hydrodynamic data as the initialization parameter of the flow velocity gradient model, use the flow direction in all hydrodynamic data as the constraint parameter of the flow velocity gradient model, and then obtain the flow velocity gradient between each hydrodynamic data through the flow velocity gradient model, wherein the flow velocity gradient model is a flow velocity gradient model established using a machine learning algorithm (such as a decision tree, a neural network, etc.), and the model is, for example: the flow velocity gradient between each hydrodynamic data = the flow velocity in all hydrodynamic data (i.e., initialization parameter) * C + the flow direction in all hydrodynamic data (i.e., constraint parameter) * D, wherein C and D are weight coefficients, and C and D can be determined by fitting the historical data set of the training flow velocity gradient according to a multivariate linear regression method (such as the least squares method), wherein the flow velocity gradient is a parameter value that describes the change in the water flow velocity in the pollution overlap area; in other embodiments, other methods can also be used to determine, which are not limited here.

[0047] In specific implementation, the diffusion flux of the selected pollution overlapping area can be determined according to the flow velocity gradient by the following steps: multiplying the flow activity state of the heavy metal pollutants in the selected pollution overlapping area by the water flow cross-sectional area of ​​the selected pollution overlapping area, multiplying the multiplied value by the flow velocity gradient, and then using the multiplied value as the diffusion flux of the selected pollution overlapping area, wherein the diffusion flux is a parameter value that describes the degree of dispersion of the flow of heavy metal pollutants in the selected pollution overlapping area; in other embodiments, other methods can also be used for determination, which are not limited here.

[0048] In specific implementation, the migration flux of heavy metal pollutants in the selected pollution overlapping area per unit time can be determined based on the diffusion flux and the hydrodynamic data of the selected pollution overlapping area by the following steps: multiplying the flow velocity in the hydrodynamic data of the selected pollution overlapping area by the water cross-sectional area in the hydrodynamic data of the selected pollution overlapping area, multiplying the multiplied value by the average of the heavy metal pollution levels of all monitoring areas corresponding to the selected pollution overlapping area, adding the multiplied value to the diffusion flux of the selected pollution overlapping area, and using the added value as the migration flux of heavy metal pollutants in the selected pollution overlapping area per unit time; in other embodiments, other methods can also be used for determination, which are not limited here.

[0049] It should be noted that the migration flux in this application is a parameter value that describes the amount of heavy metal pollutants passing through the pollution overlap zone per unit time. It is used to describe the transmission efficiency of the migration and diffusion process of heavy metal pollutants in the water flow field of the pollution overlap zone, which facilitates river pollution monitoring and early warning for target rivers during flood season.

[0050] In step 105, when the migration flux is greater than the pollutant threshold, a pollution warning is sent to the monitoring and management center of the target river.

[0051] In some embodiments, when the migration flux is greater than the pollutant threshold, sending a pollution warning to the monitoring and management center of the target river can be achieved by the following steps: Determine pollutant thresholds for target rivers; comparing the migration flux to the contaminant threshold; If the migration flux is greater than the pollutant threshold, a pollution warning is issued for the target river.

[0052] In addition, if the migration flux is less than or equal to the pollutant threshold, the target river can continue to be monitored, which will not be repeated here.

[0053] It should be noted that the pollutant thresholds in the present application can be set accordingly according to the specific monitoring and early warning requirements. For example, if it is necessary to detect the pollution situation of the target river in a timely manner, the pollutant threshold can be set in a low range. If it is necessary to avoid false alarms of normal water body changes, the pollutant threshold can be set in a high range. In other embodiments, for example, when the target river is in an ecologically sensitive area, the pollutant threshold can be set in a low range, thereby ensuring the rationality of the water pollution early warning plan.

[0054] In addition, in another aspect of the present application, in some embodiments, the present application provides a river flood season pollution monitoring and early warning system, referring to Figure 4 , which is a schematic diagram of the structure of a river flood season pollution monitoring and early warning system according to some embodiments of the present application. The river flood season pollution monitoring and early warning system 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows: Collection module 401, in this application, the collection module 401 is mainly used to collect water samples from each monitoring area in the target river where rainfall occurs, and then determine the heavy metal pollution degree of each water sample; Processing module 402, in the present application, is used to determine the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all heavy metal pollution degrees in the area where the target river is located, and to perform diffusion simulation on the migration of heavy metal pollutants in the target river through all flow activity states to obtain the pollution plume in each monitoring area; It should be noted that the processing module 402 in the present application is also used to diffusely reorganize all pollution plumes based on the pollution distance between each monitoring area, obtain a diffusion distribution map of heavy metal pollutants in the target river, and then determine multiple pollution overlapping areas of the target river through the diffusion distribution map; In addition, it should be noted that the processing module 402 in the present application is also used to measure the hydrodynamic data of each pollution overlap zone, and determine the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data; Execution module 403, in this application, execution module 403 is mainly used to send a pollution warning to the monitoring and management center of the target river when the migration flux is greater than the pollutant threshold.

[0055] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the above-mentioned river flood season pollution monitoring and early warning method.

[0056] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a method for monitoring and warning river pollution during flood season according to some embodiments of the present application. The method for monitoring and warning river pollution during flood season in the above embodiment can be Figure 5 The computer device 500 shown in the figure is implemented, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503 and at least one communication interface 504.

[0057] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0058] The communication bus 502 may be used to transmit information between the above-mentioned components.

[0059] The memory 503 may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compressed optical disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer, but is not limited thereto. The memory 503 may exist independently and be connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0060] The memory 503 is used to store the program code for executing the solution of the present application, and the execution is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0061] The communication interface 504 uses any transceiver or other device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0062] In a specific implementation, as an embodiment, a computer device may include multiple processors, each of which may be a single-CPU processor or a multi-CPU processor. The processor here may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0063] The above-mentioned computer device may be a general-purpose computer device or a special-purpose computer device. In a specific implementation, the computer device may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device or an embedded device. The embodiment of the present application does not limit the type of computer device.

[0064] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned river flood season pollution monitoring and early warning method is implemented.

[0065] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for monitoring and early warning of river pollution during flood season, characterized in that: The steps include: Collect water samples from each monitoring area in the target river where rainfall occurs, and then determine the heavy metal pollution level of each water sample; The flow activity state of heavy metal pollutants in each monitoring area is determined according to the rainfall intensity and all heavy metal pollution levels in the target river area. The migration of heavy metal pollutants in the target river is simulated through all the flow activity states to obtain the pollution plume in each monitoring area. Based on the pollution distance between each monitoring area, all pollution plumes are diffusely reorganized to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map; Measure the hydrodynamic data of each pollution overlap zone, and determine the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data; When the migration flux is greater than the pollutant threshold, a pollution warning is sent to the monitoring and management center of the target river.

2. The method according to claim 1, characterized in that According to the rainfall intensity and all heavy metal pollution levels in the target river area, the flow activity of heavy metal pollutants in each monitoring area is determined, including: Obtain the location coordinates of each monitoring area and the rainfall intensity in the area where the target river is located; Determine the pollution deviation of each monitoring area based on all heavy metal pollution levels; The flow activity state of heavy metal pollutants in each monitoring area is determined based on the rainfall intensity and all pollution deviations.

3. The method according to claim 1, characterized in that The migration of heavy metal pollutants in the target river was simulated through all active flow states, and the pollution plumes in each monitoring area were obtained, including: Selecting a monitoring area as a selected monitoring area, determining a water flow velocity in the selected monitoring area and a plurality of migration vectors in the selected monitoring area; Determine the migration and diffusion speed of heavy metal pollutants in the selected monitoring area according to the flow activity state corresponding to the selected monitoring area and the water flow speed; determining a pollution plume in a selected monitoring area based on the migration diffusion velocity and the migration vector; Continue to identify contamination plumes in the remaining monitoring areas.

4. The method according to claim 1, characterized in that Based on the pollution distance between each monitoring area, all pollution plumes are diffused and reorganized to obtain the diffusion distribution map of heavy metal pollutants in the target river, including: Determine the contamination distance between each monitoring interval; Determine the pollution diffusion network of the target river according to all pollution distances; Select a monitoring area as the selected monitoring area; Reorganizing the pollution plume in the selected monitoring area according to the pollution diffusion network and the water flow velocity in the selected monitoring area to obtain the reorganized pollution plume in the selected monitoring area; Continue to reorganize the contamination plume in the remaining monitoring areas; The diffusion distribution map of heavy metal pollutants in the target river is determined based on all reconstructed pollution plumes.

5. The method according to claim 1, characterized in that The multiple pollution overlapping areas of the target river determined by the diffusion distribution map specifically include: determining a plurality of high contamination areas in the diffusion distribution map; Multiple pollution overlapping areas of the target river are determined based on all the high pollution areas.

6. The method according to claim 1, characterized in that The migration flux of heavy metal pollutants in each pollution overlap zone per unit time is determined based on the velocity gradient between various hydrodynamic data, including: Determine the velocity gradient between various hydrodynamic data; Selecting a contaminated overlap area as a selected contaminated overlap area; determining a diffusion flux of a selected contaminated overlap region based on the flow velocity gradient; Determine the migration flux of heavy metal pollutants in the selected pollution overlap area per unit time based on the diffusion flux and the hydrodynamic data of the selected pollution overlap area; Continue to determine the migration flux of heavy metal pollutants per unit time in the remaining pollution overlap area.

7. The method according to claim 1, characterized in that Water samples from each monitoring area in the target river where rainfall occurs are collected by using a water quality automatic sampler.

8. A river flood season pollution monitoring and early warning system, characterized in that: include: The collection module is used to collect water samples from each monitoring area in the target river where rainfall occurs, and then determine the heavy metal pollution degree of each water sample; A processing module is used to determine the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all heavy metal pollution degrees in the target river area, and to perform diffusion simulation on the migration of heavy metal pollutants in the target river through all flow activity states to obtain the pollution plume in each monitoring area; The processing module is further used to diffusely reorganize all pollution plumes based on the pollution distance between each monitoring area to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then determine multiple pollution overlapping areas of the target river through the diffusion distribution map; The processing module is further used to measure the hydrodynamic data of each pollution overlap zone, and determine the migration flux of heavy metal pollutants in each pollution overlap zone per unit time according to the flow velocity gradient between each hydrodynamic data; The execution module is used to send a pollution warning to the monitoring and management center of the target river when the migration flux is greater than the pollutant threshold.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores codes, and the processor is configured to obtain the codes and execute the river flood season pollution monitoring and early warning method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for monitoring and early warning of river pollution during flood season as claimed in any one of claims 1 to 7 is implemented.

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