A method, system, device and medium for monitoring and warning of river pollution during flood season

Abstract

The present application provides a method, system, device and medium for monitoring and warning river pollution during flood season. By collecting water samples from each monitoring area in the target river, determining the heavy metal pollution degree of each water sample, determining the flow activity state of heavy metal pollutants according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees, simulating the diffusion of the migration of heavy metal pollutants through all the flow activity states to obtain pollution plumes, recombining the diffusion of all the pollution plumes to obtain the diffusion distribution map of heavy metal pollutants, determining multiple pollution overlapping areas, determining the migration flux of heavy metal pollutants according to the velocity gradient between each hydrodynamic data, and when the migration flux is greater than the pollutant threshold, sending a pollution warning to the monitoring and management center of the target river. By adopting the solution of the present application, the overall water pollution of the target river can be monitored and warned under the influence of pollutant accumulation caused by the flow of pollutants with water bodies.

Description

Technical Field

[0001] This application relates to the technical field of river flood - season pollution monitoring. More specifically, this application relates to a method, system, device, and medium for river flood - season pollution monitoring and early warning. Background Art

[0002] Monitoring and early - warning technology is a technical means based on real - time data collection and analysis, aiming to timely detect, predict, and respond to potential risks. It is widely used in fields such as environment, public safety, meteorology, disaster early warning, and industrial safety.

[0003] River flood - season pollution monitoring and early warning refers to the real - time monitoring of the concentration, flow state, and other related indicators of pollutants in water bodies, combined with data analysis and prediction models, to timely detect potential risks of water pollution and issue early warnings when the pollutant concentration reaches a certain threshold, reminding relevant departments or the public to take countermeasures. In existing river flood - season pollution monitoring and early warning, satellite remote sensing, unmanned aerial vehicle (UAV) remote sensing, etc. are used to obtain pollution information of large - scale water areas, combined with geographic information system (GIS) for spatial analysis and pollution source tracking, or data analysis and machine - learning models are used to process a large amount of historical and real - time water quality data to identify pollution patterns and predict pollution trends. However, during rainfall, affected by the flow of pollutants, the water pollution situation in a single area is not sufficient to represent the overall water pollution situation of the target river. Therefore, how to monitor and early - warn the overall water pollution of the target river under the influence of pollutant accumulation caused by the flow of water bodies has become a difficult problem faced by the industry. Summary of the Invention

[0004] This application provides a method, system, device, and medium for river flood - season pollution monitoring and early warning, which can monitor and early - warn the overall water pollution of the target river under the influence of pollutant accumulation caused by the flow of water bodies.

[0005] In a first aspect, this application provides a method for river flood - season pollution monitoring and early warning, including the following steps:

[0006] 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.

[0007] According to the rainfall intensity in the area where the target river is located and all the heavy - metal pollution degrees, determine the flow - active state of heavy - metal pollutants in each monitoring area, and through all the flow - active states, simulate the migration and diffusion of heavy - metal pollutants in the target river to obtain the pollution plume of each monitoring area.

[0008] Based on the pollution distance between each monitoring area, perform diffusion recombination on all the pollution plumes to obtain the diffusion distribution map of heavy - metal pollutants in the target river, and then determine multiple pollution overlap areas of the target river through the diffusion distribution map.

[0009] Measure the hydrodynamic data of each pollution overlapping area, and determine the migration flux of heavy metal pollutants in each pollution overlapping area per unit time according to the flow velocity gradient between the hydrodynamic data.

[0010] 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.

[0011] In some embodiments, determining the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees specifically includes:

[0012] Obtain the position coordinates of each monitoring area and the rainfall intensity in the area where the target river is located.

[0013] Determine the pollution deviation degree of each monitoring area according to all the heavy metal pollution degrees.

[0014] Determine the flow activity state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all the pollution deviation degrees.

[0015] In some embodiments, performing a diffusion simulation on the migration of heavy metal pollutants in the target river through all the flow activity states to obtain the pollution plume of each monitoring area specifically includes:

[0016] Select a monitoring area as the selected monitoring area, and determine the water flow velocity of the selected monitoring area and multiple migration vectors of the selected monitoring area.

[0017] Determine the migration and diffusion velocity 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 velocity.

[0018] Determine the pollution plume of the selected monitoring area according to the migration and diffusion velocity and the migration vectors.

[0019] Continue to determine the pollution plume of the remaining monitoring areas.

[0020] In some embodiments, performing a diffusion recombination on all the pollution plumes based on the pollution distance between each monitoring area to obtain the diffusion distribution map of heavy metal pollutants in the target river specifically includes:

[0021] Determine the pollution distance between each monitoring interval.

[0022] Determine the pollution diffusion network of the target river according to all the pollution distances.

[0023] Select a monitoring area as the selected monitoring area.

[0024] Recombine 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 recombined pollution plume in the selected monitoring area;

[0025] Continue to recombine the pollution plume in the remaining monitoring areas;

[0026] Determine the diffusion distribution map of heavy metal pollutants in the target river based on all the recombined pollution plumes.

[0027] In some embodiments, determining multiple pollution overlapping areas of the target river through the diffusion distribution map specifically includes:

[0028] Determine multiple high-pollution areas in the diffusion distribution map;

[0029] Based on all the high-pollution areas, determine multiple pollution overlapping areas of the target river.

[0030] In some embodiments, determining the migration flux of heavy metal pollutants per unit time in each pollution overlapping area according to the flow velocity gradient between each hydrodynamic data specifically includes:

[0031] Determine the flow velocity gradient between each hydrodynamic data;

[0032] Select one pollution overlapping area as the selected pollution overlapping area;

[0033] Determine the diffusion flux of the selected pollution overlapping area according to the flow velocity gradient;

[0034] Based on the diffusion flux and the hydrodynamic data of the selected pollution overlapping area, determine the migration flux of heavy metal pollutants per unit time in the selected pollution overlapping area;

[0035] Continue to determine the migration flux of heavy metal pollutants per unit time in the remaining pollution overlapping areas.

[0036] In some embodiments, collect water body samples of each monitoring area in the target river where rainfall occurs through a water quality automatic sampler.

[0037] In a second aspect, the present application provides a river flood season pollution monitoring and early warning system, including:

[0038] A collection module, configured to collect water body samples of each monitoring area in the target river where rainfall occurs, and further determine the heavy metal pollution degree of each water body sample;

[0039] A processing module, configured to determine the flow active state of heavy metal pollutants in each monitoring area according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees, and perform diffusion simulation on the migration of heavy metal pollutants in the target river through all the flow active states to obtain the pollution plume of each monitoring area;

[0040] The processing module is further configured to perform diffusion recombination on all pollution plumes based on the pollution distances between the monitoring regions, obtain a diffusion distribution map of heavy metal pollutants in the target river, and further determine multiple pollution overlapping regions in the target river through the diffusion distribution map;

[0041] The processing module is further configured to measure the hydrodynamic data of each pollution overlapping region, and determine the migration flux of heavy metal pollutants in each pollution overlapping region per unit time according to the flow velocity gradient between the hydrodynamic data.

[0042] The execution module is configured 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.

[0043] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned river flood season pollution monitoring and warning method.

[0044] In a fourth aspect, the present application 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 warning method is implemented.

[0045] The technical solution provided by the embodiments disclosed in the present application has the following beneficial effects:

[0046] In the river flood season pollution monitoring and warning method, system, device and medium provided by the present application, first, water samples of each monitoring region in the target river where rainfall occurs are collected, and then the heavy metal pollution degrees of each water sample are determined; according to the rainfall intensity in the region where the target river is located and all the heavy metal pollution degrees, the flow active states of heavy metal pollutants in each monitoring region are determined, and diffusion simulation of the migration of heavy metal pollutants in the target river is performed through all the flow active states to obtain pollution plumes of each monitoring region; diffusion recombination is performed on all the pollution plumes based on the pollution distances between the monitoring regions to obtain a diffusion distribution map of heavy metal pollutants in the target river, and then multiple pollution overlapping regions in the target river are determined through the diffusion distribution map; the hydrodynamic data of each pollution overlapping region is measured, and the migration flux of heavy metal pollutants in each pollution overlapping region per unit time is determined according to the flow velocity gradient between the 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.

[0047] 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 degrees of each water sample are determined. According to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees, the flow active state of heavy metal pollutants in each monitoring area is determined. The flow active state refers to the dynamic behavior of heavy metal pollutants migrating in the water body in each monitoring area 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 diffusively simulated through all the flow active states to obtain the pollution plume of each monitoring area. The pollution plume refers to the area range or spatial range of a concentration gradient distribution formed by the concentration of heavy metal pollutants gradually decreasing in space during the process of heavy metal pollutants in each monitoring area diffusing outward with the water body along with rainfall, which is used to monitor the migration changes of heavy metal pollutants in the target river during rainfall. Secondly, based on the pollution distance between each monitoring area, all the pollution plumes are diffusively recombined to obtain the 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 are measured, and according to the velocity gradient between each hydrodynamic data, the migration flux of heavy metal pollutants in each pollution overlapping area per unit time is determined; when the migration flux is greater than the pollutant threshold, a pollution early warning is sent to the monitoring and management center of the target river. The above solution can monitor and early 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

[0048] Figure 1 is an exemplary flowchart of a river flood season pollution monitoring and early warning method shown in some embodiments of the present application;

[0049] Figure 2 is an exemplary flowchart of determining the flow active state shown in some embodiments of the present application;

[0050] Figure 3 is a schematic diagram of the division of divided blocks shown in some embodiments of the present application;

[0051] Figure 4 is a schematic diagram of the structure of a river flood season pollution monitoring and early warning system shown in some embodiments of the present application;

[0052] Figure 5 is a schematic diagram of the structure of a computer device for implementing the river flood season pollution monitoring and early warning method shown in some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0054] Referring to Figure 1 , which is an exemplary flowchart of a river flood season pollution monitoring and early warning method according to some embodiments of the present application. The river flood season pollution monitoring and early warning method 100 mainly includes the following steps:

[0055] In step 101, water samples of each monitoring area in the target river where rainfall occurs are collected, and then the heavy metal pollution degrees of each water sample are determined.

[0056] Specifically, when implemented, 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. All the above areas with stable water flow are used as the 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 a GS-CYQ water quality proportional automatic sampler). The heavy metal concentrations of all the collected water samples are measured in combination with a heavy metal detection method (such as atomic absorption spectrometry). All the measured heavy metal concentrations are used as the heavy metal pollution degrees of the corresponding monitoring areas. In other embodiments, it can also be implemented in other ways, which will not be elaborated here.

[0057] In step 102, according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees, the flow active states of heavy metal pollutants in each monitoring area are determined. The migration of heavy metal pollutants in the target river is diffusively simulated through all the flow active states, and pollution plumes of each monitoring area are obtained.

[0058] In some embodiments, referring to Figure 2 shown, which is an exemplary flowchart for determining the flow active state in some embodiments of the present application. In this embodiment, the flow active states of heavy metal pollutants in each monitoring area can be determined according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees by the following steps:

[0059] First, in step 1021, the position coordinates of each monitoring area and the rainfall intensity in the area where the target river is located are obtained;

[0060] Secondly, in step 1022, the pollution deviation degrees of each monitoring area are determined according to all the heavy metal pollution degrees;

[0061] Finally, in step 1023, the flow active states of heavy metal pollutants in each monitoring area are determined according to the rainfall intensity and all the pollution deviation degrees.

[0062] In specific implementation, the position 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: Obtain the calibration points of the geographical coordinates of each monitoring area in the target river through a geographic information system (such as GIS positioning), upload all the calibration points of the geographical coordinates to the monitoring and early warning center of the target river, and combine the pixel coordinates of the calibration points of the target river collected by the monitoring and early warning center to obtain the position coordinates of each monitoring area relative to the target river. Among them, the position coordinates are two-dimensional spatial coordinates of each monitoring area, including the abscissa and the ordinate, and one monitoring area corresponds to one position coordinate. Monitor the rainfall intensity in this area through the meteorological information center in the area where the target river is located; in other embodiments, other methods can also be used to determine, which is not limited here.

[0063] In specific implementation, the pollution deviation degree of each monitoring area can be determined according to all the heavy metal pollution degrees in the following manner: 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 degree corresponding to the comparison area from the heavy metal pollution degree corresponding to the selected monitoring area, and use the obtained subtracted 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 use the average value of all the pollution difference values as the pollution deviation degree of the selected monitoring area. Among them, the pollution deviation degree is a parameter value describing the deviation degree of the heavy metal pollution degree between the selected monitoring area and the remaining monitoring areas. Continue to determine the pollution deviation degree of the remaining monitoring areas; in other embodiments, other methods can also be used to determine, which is not limited here.

[0064] In specific implementation, to determine the flow active state of heavy metal pollutants in each monitoring area according to the rainfall intensity and all pollution deviation degrees, the following method can be adopted, that is: select a monitoring area as the selected monitoring area, initialize a flow active state model, use the pollution deviation degree of the selected monitoring area as the initialization parameter of this flow active state model, and use the rainfall intensity as the constraint parameter of this flow active state model. Then, obtain the flow active state of heavy metal pollutants in the selected monitoring area through this flow active state model. Among them, the flow active state model is a model of the flow active state established using machine learning algorithms (such as decision trees, neural networks, etc.). For example, the flow active state of heavy metal pollutants in the selected monitoring area = pollution deviation degree of the selected monitoring area (i.e., initialization parameter) * A + rainfall intensity (i.e., constraint parameter) * B, where A and B are weight coefficients, and A and B can be determined by fitting the historical data set of training the flow active state of heavy metal pollutants using the multiple 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 adopted for determination, which are not limited here.

[0065] It should be noted that the flow active state in this application refers to the dynamic behavior of the migration of heavy metal pollutants in each monitoring area in the water body during rainfall, including the flow velocity, flow direction of heavy metal pollutants, and the trend of the water body mixing coefficient changing with distance and time, which is used to reflect the activity and movement state of heavy metal pollutants in the water body and facilitate subsequent analysis of the diffusion situation of heavy metal pollutants in the water body.

[0066] In some embodiments, to perform a diffusion simulation on the migration of heavy metal pollutants in the target river through all the flow active states and obtain the pollution plume of each monitoring area, the following steps can be adopted:

[0067] Select a monitoring area as the selected monitoring area, and determine the water flow velocity of the selected monitoring area and multiple migration vectors of the selected monitoring area;

[0068] Determine the migration and diffusion velocity of heavy metal pollutants in the selected monitoring area according to the flow active state corresponding to the selected monitoring area and the water flow velocity;

[0069] Determine the pollution plume of the selected monitoring area according to the migration and diffusion velocity and the migration vectors;

[0070] Continue to determine the pollution plume of the remaining monitoring areas.

[0071] In specific implementation, the water flow velocity of the selected monitoring area and multiple migration vectors of the selected monitoring area can be determined in the following manner: arrange underwater sensors (such as Turbidity sensors) in the selected monitoring area, and monitor the water flow velocity of the selected monitoring area in real time through the underwater sensors. Select a monitoring area from the remaining monitoring areas as a comparison monitoring area. Subtract the abscissa of the comparison monitoring area from the abscissa of the selected monitoring area, and use the obtained value as the horizontal component of the migration vector between the selected monitoring area and the comparison monitoring area. Subtract the ordinate of the comparison monitoring area from the ordinate of the selected monitoring area, and use the obtained value as the vertical component of the migration vector between the selected monitoring area and the comparison monitoring area. Use the vector composed of the above horizontal component and vertical component and the vector composed of the connection direction of 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. Among them, the migration vector is a vector describing the migration direction of heavy metal pollutants in the selected monitoring area and the comparison monitoring area. Continue to determine the migration vectors 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.

[0072] In specific implementation, the migration and diffusion speed of heavy metal pollutants in the selected monitoring area can be determined according to the flow active state corresponding to the selected monitoring area and the water flow velocity in the following manner: add the flow velocity in the flow active state corresponding to the selected monitoring area and the rainfall intensity to obtain a first value. Add the water flow velocity of the selected monitoring area and the rainfall intensity, and multiply the obtained value by the first value. Use the obtained value as the migration and diffusion speed of heavy metal pollutants in the selected monitoring area. Among them, the migration and diffusion speed is a parameter value describing the speed at which heavy metal pollutants in the selected monitoring area migrate with the water body during rainfall. In other embodiments, other methods can also be used for determination, which are not limited here.

[0073] In specific implementation, the pollution plume of the selected monitoring area can be determined according to the migration and diffusion speed and the migration vector in the following manner: obtain the velocity vector of the water flow of the target river from the inspection and early warning center of the target river. Among them, the velocity vector is a vector describing the speed and direction of the water flow of the target river. Select a monitoring area from the remaining monitoring areas as a comparison monitoring area. If the included 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 re-select a monitoring area from the remaining monitoring areas as the comparison monitoring area. Otherwise, use the distance between the position coordinates of the selected monitoring area and the comparison monitoring area as the diameter, and use the midpoint of the position coordinates between the selected monitoring area and the comparison monitoring area as the center of the circle to draw a circle in combination with the above diameter. Refer to Figure 3As shown, this figure is a schematic diagram of the division of the above-mentioned circle in some embodiments of the present application. The horizontal and vertical components of the migration vector between the selected monitoring area and the comparison monitoring area are both rounded down. The value obtained by rounding down the vertical components is used to evenly divide the above-mentioned circle in the vertical direction, and the value obtained by rounding down the horizontal components is used to evenly divide the circle after the vertical division in the horizontal direction, resulting in a plurality of divided blocks. One divided block is selected as the selected divided block. The environmental concentration of the selected divided block is obtained by combining the mean values of the heavy metal pollution concentrations in 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, the migration vector between the selected monitoring area and the comparison monitoring area, and the coordinates of the selected divided block according to the Gaussian plume formula. Then, the environmental concentrations of the remaining divided blocks are determined. Among them, the environmental concentration is a parameter value describing the concentration of heavy metal pollutants in the selected monitoring area when they reach the selected divided block along with the water body during rainfall. Next, the multiple environmental concentrations between the selected monitoring area and the remaining monitoring areas are determined. The range composed of all the obtained environmental concentrations and the set composed of the coordinates of the divided blocks corresponding to all the environmental concentrations are used as the pollution plume of the heavy metal pollutants in the selected monitoring area during rainfall; in other embodiments, other methods can also be used to determine it, which is not limited here.

[0074] It should be noted that the pollution plume in the present application refers to the area range or spatial range of the concentration gradient distribution formed by the gradual decrease of the concentration of heavy metal pollutants in the river during the outward diffusion of heavy metal pollutants in each monitoring area along with the water body during rainfall, which is used to monitor the migration and change of heavy metal pollutants in the target river and facilitate subsequent tracking of the main pollution range of heavy metal pollutants.

[0075] In step 103, based on the pollution distances between each monitoring area, all the pollution plumes are diffusively recombined to obtain a diffusion distribution map of the heavy metal pollutants in the target river, and then multiple pollution overlapping areas of the target river are determined through the diffusion distribution map.

[0076] In some embodiments, the diffusively recombining all the pollution plumes based on the pollution distances between each monitoring area to obtain a diffusion distribution map of the heavy metal pollutants in the target river can be achieved by the following steps:

[0077] Determine the pollution distances between each monitoring interval;

[0078] Determine the pollution diffusion network of the target river according to all the pollution distances;

[0079] Select one monitoring area as the selected monitoring area;

[0080] Recombine 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 recombined pollution plume in the selected monitoring area;

[0081] Continue to recombine the pollution plumes in the remaining monitoring areas;

[0082] Determine the diffusion distribution map of heavy metal pollutants in the target river according to all the recombined pollution plumes.

[0083] When specifically implemented, the pollution distance between each monitoring interval can be determined by the following method, that is:

[0084] 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 abscissa of the comparison area from the abscissa corresponding to the selected monitoring area, add the square of the obtained value to the square of the difference between the ordinates of the selected monitoring area and the comparison 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 added value, and use the value obtained from the square root operation as the pollution radius between the selected monitoring area and the comparison monitoring area. Among them, the pollution radius is a parameter value describing the distance of the mutual influence of heavy metal pollutants between the selected monitoring area and the comparison monitoring area. Continue to determine the pollution radius between the selected monitoring area and the remaining monitoring areas, and use the average value of all pollution radii as the pollution distance of the selected monitoring area. Among them, the pollution distance is a parameter value describing the range of the mutual influence of heavy metal pollutants between the selected monitoring area and the remaining monitoring areas. Continue to determine the pollution distance of the remaining monitoring areas; in other embodiments, other methods can also be used to determine, which is not limited here.

[0085] When specifically implemented, the pollution diffusion network of the target river can be determined according to all the pollution distances by the following method, that is: 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 abscissa of the comparison area from the abscissa of the selected monitoring area to obtain a first value, subtract the ordinate of the comparison area from the ordinate 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 added value, and compare the value obtained from 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 from the square root operation, both the selected monitoring area and the comparison monitoring area are used as nodes, and the two nodes are connected. Continue to judge and connect the selected monitoring area and the remaining monitoring areas, and use all the connected edges and points as the pollution diffusion network of the target river. Among them, the pollution diffusion network is a relational network describing the process of pollutant diffusion in the target river, and the coordinates of the nodes are the coordinates of the monitoring areas corresponding to the nodes; in other embodiments, other methods can also be used to determine, which is not limited here.

[0086] In specific implementation, according to the pollution diffusion network and the water flow velocity of the selected monitoring area, the pollution plume of the selected monitoring area is reorganized. The following method can be used to obtain the reorganized pollution plume of the selected monitoring area, that is: upload the water flow velocity of the selected monitoring area to the geographic information system for flow direction processing to obtain the water flow direction vector of the selected monitoring area. Set marker bits for all nodes and edges in the pollution diffusion network. Initially, the values of all marker bits are 0, and use the node corresponding to the selected monitoring area as the root node; select a node from all nodes connected to the node corresponding to the selected monitoring area as the selected node. The difference between the abscissa of the selected node and the root node and the difference between the ordinate of the selected node and the root node form a two-dimensional vector. Determine the parallelism between the obtained two-dimensional vector and 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, subtract the abscissa of the root node from the abscissa of the selected node to obtain the first value, subtract the ordinate of the root node from the ordinate of the selected node, add the square of the subtracted value to the square of the first value, and use the added value as the pollution diffusion radius between the root node and the selected node. Here, the pollution diffusion radius is the 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 marker bit of the selected node is 0, set the marker bit of the corresponding node to 1, set the marker of the edge between the two to 1, and use the selected node as the new root node. Continue to determine the pollution diffusion radius between the new root node and the remaining nodes connected to the node corresponding to the selected monitoring area. Take the average value of all obtained pollution diffusion radii as the radius, use the coordinates of the selected monitoring area as the center of the circle, round down the average value of all pollution diffusion radii, and use the rounded-down value to evenly divide the circle in the vertical direction. Then, according to the rounded-down value, evenly divide the vertically divided circle in the horizontal direction. Calculate the environmental concentration of all divided areas in the circle through the Gaussian plume formula, and incorporate the range composed of all obtained environmental concentrations and the set composed of the coordinates corresponding to all environmental concentrations 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 to determine, which are not limited here.

[0087] In specific implementation, the diffusion distribution map of heavy metal pollutants in the target river can be determined according to all the recombined pollution plumes in the following way: select a recombined pollution plume as the selected pollution plume, upload all the environmental concentrations and the coordinates corresponding to all the environmental concentrations in the selected pollution plume to visualization software (such as ArcGIS) for data visualization processing to obtain the visualization image of the selected pollution plume, continue to perform visualization processing on the remaining pollution plumes, and use the set composed of the visualization images of all the 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.

[0088] It should be noted that the diffusion distribution map in this application is an image describing the distribution of heavy metal pollutants after diffusion by rainfall in each monitoring area, used to reflect the migration process of heavy metal pollutants in the target river and facilitate subsequent analysis of the cross - pollution situation of heavy metal pollutants.

[0089] In some embodiments, the following way can be used to determine multiple pollution overlapping areas of the target river through the diffusion distribution map, that is:

[0090] Determine multiple high - pollution areas in the diffusion distribution map;

[0091] Based on all the high - pollution areas, determine multiple pollution overlapping areas of the target river.

[0092] In specific implementation, the following way can be used to determine multiple high - pollution areas in the diffusion distribution map, that is: divide the diffusion distribution map into multiple grids through the data management module in the geographic information system (such as ArcGIS), count the total environmental concentration in each grid, select a grid as the selected grid, compare the total environmental concentration of the selected grid with the average value of all environmental concentrations. If the total environmental concentration of the selected grid is greater than the average value of all environmental concentrations, mark 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 average value of all environmental concentrations, do not perform any operation on the selected grid, continue to judge the remaining grids, and use the areas composed of the grids marked in red in each pollution plume as the high - pollution areas corresponding to each pollution plume. Among them, the high - pollution area refers to the area where the pollution concentration of heavy metal pollutants is higher than the average value, and one pollution plume corresponds to one high - pollution area; in other embodiments, other methods can also be used for determination, which are not limited here.

[0093] In specific implementation, to determine multiple pollution overlapping areas of the target river based on all highly polluted areas, the following method can be adopted, that is: Select any two pollution plumes as the selected two pollution plumes. If there are overlapping marked red areas in the highly polluted areas of the selected two pollution plumes in the diffusion distribution map, then regard the above overlapping marked red areas as the pollution overlapping areas of the selected two pollution plumes, and continue to determine the pollution overlapping areas of any remaining two highly polluted areas. Among them, one pollution overlapping area corresponds to multiple pollution plumes; in other embodiments, other methods can also be used to determine, which are not limited here.

[0094] It should be noted that the pollution overlapping area in this application refers to the area where the heavy metal pollutants in each monitoring area of the target river diffuse and intersect with each other along the water body, resulting in an increase in pollution concentration, which is used to evaluate the aggregation of heavy metal pollutants in the target river and facilitate the implementation of control measures in the pollution overlapping areas of the target river.

[0095] In step 104, measure the hydrodynamic data of each pollution overlapping area, and determine the migration flux of heavy metal pollutants in each pollution overlapping area per unit time according to the velocity gradient between the hydrodynamic data.

[0096] In specific implementation, select one pollution overlapping area as the selected pollution overlapping area, and comprehensively measure the flow velocity, flow direction and cross-sectional area of the water flow in the selected pollution overlapping area through an acoustic Doppler current profiler (ADCP) combined with GIS software (such as ArcGIS). All the collected data are used as the hydrodynamic data of the selected pollution overlapping area. Among them, the cross-sectional area of the water flow refers to the vertical cross-sectional area through which the water flow passes. The hydrodynamic data is the data describing the flow characteristics and material flow state of the water body. Continue to determine the hydrodynamic data of the remaining pollution overlapping areas. In other embodiments, other methods can also be used to obtain it, which will not be elaborated here.

[0097] In some embodiments, to determine the migration flux of heavy metal pollutants in each pollution overlapping area per unit time according to the velocity gradient between the hydrodynamic data, the following steps can be adopted:

[0098] Determine the velocity gradient between the hydrodynamic data;

[0099] Select one pollution overlapping area as the selected pollution overlapping area;

[0100] Determine the diffusion flux of the selected pollution overlapping area according to the velocity gradient;

[0101] Based on the diffusion flux and the hydrodynamic data of the selected pollution overlapping area, determine the migration flux of heavy metal pollutants in the selected pollution overlapping area per unit time;

[0102] Continue to determine the migration flux of heavy metal pollutants in the remaining pollution overlapping areas per unit time.

[0103] In specific implementation, the flow velocity gradient between various hydrodynamic data can be determined by the following steps: Initialize a flow velocity gradient model, use the flow velocities in all hydrodynamic data as the initialization parameters of the flow velocity gradient model, and use the flow directions in all hydrodynamic data as the constraint parameters of the flow velocity gradient model. Then, obtain the flow velocity gradient between various hydrodynamic data through the flow velocity gradient model. Among them, the flow velocity gradient model is a model of the flow velocity gradient established using machine learning algorithms (such as decision trees, neural networks, etc.). The model is, for example: the flow velocity gradient between various hydrodynamic data = the flow velocities in all hydrodynamic data (i.e., the initialization parameters) * C + the flow directions in all hydrodynamic data (i.e., the constraint parameters) * D, where 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 using the multiple linear regression method (such as the least squares method). Among them, the flow velocity gradient is a parameter value describing the change of the water flow velocity in the pollution overlap area; in other embodiments, other methods can also be used to determine it, which is not limited here.

[0104] In specific implementation, the diffusion flux of the selected pollution overlap area can be determined according to the flow velocity gradient by the following steps: Multiply the flow active state of the heavy metal pollutants in the selected pollution overlap area by the cross-sectional area of the selected pollution overlap area, multiply the obtained value by the flow velocity gradient, and then use the obtained value as the diffusion flux of the selected pollution overlap area. Among them, the diffusion flux is a parameter value describing the dispersion degree of the flow of heavy metal pollutants in the selected pollution overlap area; in other embodiments, other methods can also be used to determine it, which is not limited here.

[0105] In specific implementation, based on the diffusion flux and the hydrodynamic data of the selected pollution overlap area, the migration flux of the heavy metal pollutants in the selected pollution overlap area per unit time can be determined by the following steps: Multiply the flow velocity in the hydrodynamic data of the selected pollution overlap area by the cross-sectional area of the hydrodynamic data of the selected pollution overlap area, multiply the obtained value by the average value of the heavy metal pollution degrees of all monitoring areas corresponding to the selected pollution overlap area, add the obtained value to the diffusion flux of the selected pollution overlap area, and use the obtained value as the migration flux of the heavy metal pollutants in the selected pollution overlap area per unit time; in other embodiments, other methods can also be used to determine it, which is not limited here.

[0106] It should be noted that the migration flux in this application is a parameter value describing the amount of heavy metal pollutants passing through the pollution overlap area per unit time, which 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 area, and is convenient for monitoring and warning of river pollution during the flood season of the target river.

[0107] 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.

[0108] 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:

[0109] Determine the pollutant threshold of the target river;

[0110] Compare the migration flux with the pollutant threshold;

[0111] If the migration flux is greater than the pollutant threshold, issue a pollution warning for the target river.

[0112] 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 elaborated here.

[0113] It should be noted that the pollutant threshold in this application can be set according to the specific warning requirements of monitoring. 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 for 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, so as to ensure the rationality of the water pollution warning scheme.

[0114] On the other hand of this application, in some embodiments, this application provides a river flood season pollution monitoring and warning system. Refer to Figure 4 , this figure is a schematic structural diagram of a river flood season pollution monitoring and warning system according to some embodiments of this application. The river flood season pollution monitoring and warning system 400 includes: a collection module 401, a processing module 402, and an execution module 403, which are described as follows:

[0115] Collection module 401. In this application, the collection module 401 is mainly used to collect water body samples from each monitoring area of the target river where rainfall occurs, and then determine the heavy metal pollution degree of each water body sample.

[0116] Processing module 402. In this application, the processing module 402 is used to determine the flow active state of heavy metal pollutants in each monitoring area according to the rainfall intensity in the area where the target river is located and all the heavy metal pollution degrees, and simulate the diffusion of the migration of heavy metal pollutants in the target river through all the flow active states to obtain the pollution plume of each monitoring area.

[0117] It should be noted that in this application, the processing module 402 is further configured to perform diffusion recombination on all pollution plumes based on the pollution distances between the monitoring areas, obtain a diffusion distribution map of heavy metal pollutants in the target river, and further determine multiple pollution overlap areas in the target river through the diffusion distribution map;

[0118] In addition, it should be noted that in this application, the processing module 402 is further configured to measure the hydrodynamic data of each pollution overlap area, and determine the migration flux of heavy metal pollutants in each pollution overlap area per unit time according to the flow velocity gradient between the hydrodynamic data;

[0119] The execution module 403. In this application, the execution module 403 is mainly configured 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.

[0120] In addition, this application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned river flood season pollution monitoring and warning method.

[0121] In some embodiments, refer to Figure 5 , this figure is a schematic structural diagram of a computer device for implementing the river flood season pollution monitoring and warning method according to some embodiments of this application. The river flood season pollution monitoring and warning method in the above embodiments can be implemented by Figure 5 the computer device shown. The computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0122] The processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0123] The communication bus 502 can be used to transmit information between the above components.

[0124] The memory 503 can 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. It can also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 503 can exist independently and be connected to the processor 501 through the communication bus 502. The memory 503 can also be integrated with the processor 501.

[0125] Among them, the memory 503 is used to store the program code for executing the solution of this application, and is controlled by the processor 501 for execution. The processor 501 is used to execute the program code stored in the memory 503. The program code can include one or more software modules. The methods used in the above embodiments can be implemented by one or more software modules in the program code in the processor 501 and the memory 503.

[0126] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0127] In a specific implementation, as an embodiment, the computer device can include multiple processors, and each of these processors can be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, the processor can refer to one or more devices, circuits, and / or processing cores for processing data (such as computer program instructions).

[0128] The computer device described above 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 laptop 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 embodiments of the present application do not limit the type of the computer device.

[0129] In addition, the present application further provides a computer-readable storage medium storing 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.

[0130] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0131] 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 equivalent technologies, 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, wherein the pollution overlapping area refers to the area where heavy metal pollutants in various monitoring areas of the target river intersect with each other as they diffuse into the water body, resulting in an increase in pollution concentration; Measuring the hydrodynamic data of each pollution overlap zone, and 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, wherein the migration flux is a parameter value describing the amount of heavy metal pollutants passing through the pollution overlap zone per unit time; 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; Among them, all pollution plumes are diffused and reorganized based on the pollution distance between each monitoring area, and the diffusion distribution map of heavy metal pollutants in the target river is obtained, 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.

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 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.

5. 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.

6. 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.

7. A river flood season pollution monitoring and early warning system, which uses the method described in any one of claims 1 to 6 to perform river flood season pollution monitoring and early warning, characterized in that: The system includes: 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.

8. 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 6.

9. 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 6 is implemented.

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