A surface water quality assessment method, device and medium
Through dynamic adjustment of evaluation factors and summary analysis based on preset analysis modes, the problem of insufficient comprehensive and accurate surface water quality assessment results in the prior art are solved, and intuitive display and effective management of water quality conditions and trends are achieved.
Patent Information
- Application Number
- CN202410351837.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-26
- Publication Date
- 2025-02-25
- Estimated Expiration
- 2044-03-26
AI Technical Summary
The existing surface water quality assessment methods cannot flexibly adjust the evaluation indicators according to specific circumstances, resulting in the incomplete and accurate assessment results. Most methods are manually carried out, making it difficult to query historical data and analysis results, and cannot meet the needs of water quality monitoring staff.
A surface water quality assessment method is proposed. By collecting water quality monitoring data from multiple sampling points, determining the evaluation factor based on the current water quality monitoring period, and conducting evaluation to obtain the water quality assessment results. The results are summarized and analyzed based on the preset analysis mode, and the results are loaded into the analysis view, including administrative division analysis, water quality situation analysis and water quality spatial trend analysis.
By dynamically adjusting the evaluation factors, ensuring the accuracy and comprehensiveness of the evaluation, it can intuitively display the results of water quality assessment, helping decision makers and managers better understand water quality conditions and trends, and thus formulating effective water quality management measures and policies.
Smart Images

Figure CN118070014B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of water quality detection, and in particular to a surface water quality assessment method, equipment and medium. Background Art
[0002] Surface water is one of the important sources of water for human life and an important component of water resources. With the rapid development of industrialization and urbanization, surface water pollution has become a serious environmental problem, affecting human health and the balance of the ecosystem. Therefore, it is crucial to accurately assess and monitor surface water quality.
[0003] At present, the existing water quality assessment methods usually select a fixed set of evaluation indicators to assess water quality, and cannot be flexibly adjusted according to specific circumstances, resulting in incomplete and inaccurate assessment results, which are difficult to truly reflect the actual situation of the water body. In addition, most water quality assessments are performed manually, and the water quality assessment results are stored in Excel tables, which makes it difficult to query historical data and view analysis results, and cannot meet the daily work needs of water quality monitoring staff. Summary of the invention
[0004] In order to solve the above problems, this application proposes a surface water quality assessment method, including:
[0005] Collect water quality monitoring data corresponding to multiple sampling points set in the watershed to be monitored;
[0006] Determine the evaluation factor corresponding to the water quality monitoring data according to the current water quality monitoring period, and evaluate the water quality monitoring data according to the evaluation factor to obtain the water quality evaluation result of the corresponding sampling point; wherein the water quality evaluation result includes the water quality category and the excessive pollutant index of each evaluation factor;
[0007] Based on a preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, and the analysis results are loaded into the analysis view corresponding to the analysis mode; wherein the analysis mode includes an administrative division analysis mode, a water quality situation analysis mode and a water quality spatial trend analysis mode.
[0008] In one implementation of the present application, based on a preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, specifically including:
[0009] Based on the administrative division analysis model, the number of sampling points corresponding to each water quality category in the preset administrative division is summarized, and the proportion of the number of sampling points corresponding to different water quality categories is calculated;
[0010] Based on the water quality situation analysis mode, according to the preset situation change cycle, according to the water quality assessment results corresponding to the sampling points, a corresponding situation change curve is generated;
[0011] Based on the water quality spatial trend analysis mode, the river map corresponding to the watershed to be monitored is loaded, and according to the water quality assessment result, the color of the river section where the corresponding sampling point in the river map is located is rendered.
[0012] In one implementation of the present application, according to the water quality assessment result, the color of the river section where the corresponding sampling point is located in the river map is rendered, specifically including:
[0013] Determine the sampling position of each sampling point in the river map;
[0014] Obtaining a mapping relationship between different water quality categories and their corresponding rendering colors, and determining the rendering color corresponding to each sampling point according to the water quality assessment result corresponding to each sampling point and the mapping relationship;
[0015] According to the rendering color, the sampling positions corresponding to the sampling points in the river map are rendered; wherein the color of the river section between adjacent sampling points is gradually changed according to the rendering colors corresponding to the sampling points at both ends of the river section.
[0016] In one implementation of the present application, after generating a corresponding situation change curve according to the water quality assessment result corresponding to the sampling point, the method further includes:
[0017] For each sampling point, according to the situation change curve, the water quality situation change rate corresponding to the sampling point in different situation change cycles is calculated;
[0018] When the water quality situation change rate is greater than a preset change rate, generating a corresponding sampling trajectory based on the river map and according to the watershed relationship between the sampling points;
[0019] According to the water quality situation change rate, the designated sampling points in the sampling trajectory where the water quality situation changes occur are screened out, and the water quality situation change range formed by the designated sampling points is determined;
[0020] The sampling trajectory is updated according to the range of changes in the water quality situation.
[0021] In one implementation of the present application, determining the water quality situation change range composed of the designated sampling points specifically includes:
[0022] Get the preset water quality impact distance;
[0023] When the water quality situation change rate corresponding to the sampling point is greater than the preset change rate, a target sampling point having a water quality situation influence relationship with the sampling point is screened out from the designated sampling points according to the water quality influence distance; wherein the target sampling point is located upstream or downstream of the sampling point;
[0024] The watershed where the sampling point and the target sampling point are located is taken as the range of water quality situation change.
[0025] In one implementation of the present application, the sampling trajectory is updated according to the water quality situation change range, specifically including:
[0026] For the sampling trajectory within the range of water quality situation change, a number of new sampling points are inserted into the sampling trajectory; wherein the sampling intervals between the new sampling points gradually increase in a direction approaching the sampling points.
[0027] In one implementation of the present application, the water quality monitoring data is evaluated according to the evaluation factor, specifically including:
[0028] Obtain the index interval corresponding to each evaluation factor; wherein each index interval corresponds to a water quality category;
[0029] For each evaluation factor, matching the actual monitoring value in the water quality monitoring data that matches the evaluation factor with the indicator interval to determine the water quality category of the sampling point under the evaluation factor;
[0030] When the water quality category exceeds the preset level, the actual monitoring value is divided by the evaluation standard value corresponding to the water quality category to obtain the excessive pollution index of the sampling point under the evaluation factor.
[0031] In one implementation of the present application, the water quality assessment result of the corresponding sampling point is obtained, specifically including:
[0032] From the water quality categories corresponding to the various evaluation factors, the designated evaluation factor corresponding to the worst water quality category is screened out, and the water quality category and the excessive pollution index corresponding to the designated evaluation factor are used as the water quality evaluation result of the corresponding sampling point.
[0033] The present application provides a surface water quality assessment device, the device comprising:
[0034] at least one processor;
[0035] and, a memory communicatively coupled to the at least one processor;
[0036] Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a surface water quality assessment method as described in any of the above items.
[0037] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:
[0038] A method for assessing surface water quality as described in any one of the above items.
[0039] The surface water quality assessment method proposed in this application can bring the following beneficial effects:
[0040] The assessment factors are determined according to the current monitoring period, and different water quality evaluation indicators can be selected according to the characteristics of different periods to ensure the accuracy and comprehensiveness of the assessment. Summarizing and analyzing based on the preset analysis mode helps to integrate the water quality assessment results into different analysis views, and can intuitively display the water quality assessment results, helping decision makers and managers to better understand the water quality status and trends, so as to formulate effective water quality management measures and policies. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0042] Figure 1 A schematic diagram of a flow chart of a surface water quality assessment method provided in an embodiment of the present application;
[0043] Figure 2 A schematic diagram of the structure of a surface water quality assessment device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.
[0045] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.
[0046] like Figure 1 As shown, a surface water quality assessment method provided in an embodiment of the present application includes:
[0047] S101: Collect water quality monitoring data corresponding to multiple sampling points set in the watershed to be monitored.
[0048] For water bodies such as rivers, lakes, and reservoirs, it is necessary to regularly monitor and evaluate the water quality of the water bodies. According to the characteristics of the water bodies and monitoring needs, corresponding sampling points can be set up in the watershed to be monitored, and water quality parameters will be monitored and sampled at the sampling points, such as pH value, dissolved oxygen, permanganate index, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, copper, zinc, fluoride, selenium, arsenic, mercury, cadmium, chromium, lead, cyanide, volatile phenols, petroleum, anionic surfactants, sulfides, etc. The above water quality monitoring data is helpful to evaluate the degree of eutrophication, pollution and ecological environment of the water body, and help discover water quality problems.
[0049] S102: Determine the evaluation factor corresponding to the water quality monitoring data according to the current water quality monitoring period, and evaluate the water quality monitoring data according to the evaluation factor to obtain the water quality evaluation result of the corresponding sampling point; wherein the water quality evaluation result includes the water quality category and the index of excessive pollutants for each evaluation factor.
[0050] After the water quality monitoring data is collected at the sampling point, it is necessary to evaluate the water quality monitoring data through a pre-defined water quality evaluation system and logical judgment to determine whether there are water quality problems in the watershed to be tested. The embodiment of the present application adopts a single factor evaluation method to evaluate the water quality category of the surface water in the monitored watershed. The single factor evaluation method refers to evaluating the water quality status of a water body by analyzing the concentration or index value of a single water quality monitoring data. This method is usually based on the standard or standard value of a specific water quality indicator to determine whether the water body meets the relevant water quality standards or water quality categories.
[0051] It should be noted that the assessment needs corresponding to different water quality monitoring periods in the basin may vary to a certain extent, because the pollution sources, hydrodynamic characteristics and ecological environment of the water body will be different in different time periods. For example, the quarterly water quality assessment needs to take into account the impact of agricultural activities, temperature and rainfall on the water body in different seasons. In spring, it may be necessary to pay attention to the concentration of agricultural pollutants such as pesticides and fertilizers caused by agricultural activities, as well as runoff and dissolved material input during snowmelt. In summer, it may be necessary to pay attention to the impact of high temperature periods on water oxygen content, water temperature and eutrophication indicators such as cyanobacteria. In autumn, it may be necessary to pay attention to the increase in runoff water volume caused by rainfall and the overload of urban drainage systems, as well as organic matter indicators such as chlorophyll a. In winter, it may be necessary to pay attention to changes in water quality when rivers freeze and ice and snow melt in winter, as well as the accumulation of pollutants such as heavy metals.
[0052] Therefore, it is necessary to determine the evaluation factors corresponding to the water quality monitoring data according to the current water quality monitoring period. After determining the evaluation factors, the water quality monitoring data is evaluated according to the evaluation factors to obtain the water quality evaluation results of the corresponding sampling points. Among them, the water quality evaluation results include the water quality category and the index of pollutants exceeding the standard for each evaluation factor. The evaluation factors correspond to the water quality monitoring data, including pH value, dissolved oxygen, permanganate index, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, copper, zinc, fluoride, selenium, arsenic, mercury, cadmium, chromium, lead, cyanide, volatile phenol, petroleum, anionic surfactants, and sulfides. Each evaluation factor corresponds to multiple indicator intervals, and each indicator interval corresponds to a water quality category.
[0053] Among them, Table 1 shows the index range and water quality category corresponding to the evaluation factor of potassium permanganate index:
[0054]
[0055] As shown in Table 1, according to the environmental functions and protection targets of surface waters, water quality can be divided into Class I, Class II, Class III, Class IV, Class V and Class V-poor water quality in descending order of function, with Class I water quality being the best and Class V-poor water quality being the worst. The above table can be used to determine the assessment interval to which the actual monitoring value in the water quality monitoring data belongs, as well as the water quality category corresponding to the assessment interval.
[0056] Specifically, obtain the index interval corresponding to each evaluation factor. For each evaluation factor, match the actual monitoring value in the water quality monitoring data that matches the evaluation factor with the index interval to determine the water quality category of the sampling point under the evaluation factor. When the water quality category exceeds the preset level, it is necessary to calculate the excessive pollution index to assist water quality monitoring personnel in understanding the current pollution situation of the water body. Normally, the preset level is Class III. If the water quality category exceeds Class III, it is necessary to calculate the excessive pollution index corresponding to the current evaluation factor through the single factor pollution index method, that is, take the actual monitoring value and the evaluation standard value corresponding to the water quality category as the quotient to obtain the excessive pollution index of the sampling point under the evaluation factor.
[0057] After evaluating each evaluation factor, the corresponding evaluation factor result combination can be obtained. If you want to get the water quality evaluation result corresponding to the sampling point, you need to screen out the designated evaluation factor with the worst corresponding water quality category from the water quality category corresponding to each evaluation factor, and use the water quality category and the excessive pollution index corresponding to the designated evaluation factor as the water quality evaluation result of the corresponding sampling point. For example, the evaluation factor result combination corresponding to sampling point 1 is PH value: Class III, dissolved oxygen: Class II, permanganate index: Class IV, ... sulfide: Class II. Then, you need to take the worst value of the above evaluation factors, that is, Class IV, as the water quality evaluation result of the sampling point, and because Class IV exceeds the preset level Class III, you also need to output the excessive pollution index as the water quality evaluation result.
[0058] S103: Based on a preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, and the analysis results are loaded into the analysis view corresponding to the analysis mode; wherein the analysis mode includes an administrative division analysis mode, a water quality situation analysis mode and a water quality spatial trend analysis mode.
[0059] After obtaining the water quality assessment results, you can conduct statistical inquiries on the water quality assessment results, conduct special analyses such as provincial water quality assessment analysis and river basin water quality analysis, and display the water quality assessment results on a GIS map. The above results display requires summarizing and analyzing the water quality assessment results based on the preset analysis mode, obtaining different analysis results, and loading the analysis results into the analysis view corresponding to the analysis mode. Among them, the analysis modes include administrative division analysis mode, water quality situation analysis mode, and water quality spatial trend analysis mode.
[0060] Specifically, based on the administrative division analysis mode, the number of sampling points corresponding to each water quality category in the preset administrative division is summarized, and the proportion of the number of sampling points corresponding to different water quality categories is calculated. The purpose of this analysis mode is to summarize the number of water quality categories in each administrative division, and the corresponding analysis results can be displayed with the help of an analysis view such as a circular ratio chart.
[0061] Based on the water quality situation analysis mode, according to the preset situation change cycle and the water quality assessment results corresponding to the sampling points, the corresponding situation change curve is generated. The purpose of this analysis mode is to analyze the water quality assessment situation changes of this month, last month and the same period last year, so as to find the water quality changes of the sampling points and take corresponding treatment measures in time. The corresponding analysis results can be displayed with the help of analysis views such as bar charts or line charts.
[0062] Based on the water quality spatial trend analysis mode, the river map corresponding to the basin to be monitored is loaded, and the color of the river section corresponding to the sampling point in the river map is rendered according to the water quality assessment results. The purpose of this analysis mode is to display the spatial change trend of water quality upstream and downstream of the river, so as to help relevant departments to treat the sampling points with serious pollution in a targeted manner, and the corresponding analysis results can be displayed with the help of GIS map analysis view.
[0063] Among them, when rendering the color of the river section, it is necessary to first determine the sampling position of each sampling point in the river map, and then obtain the mapping relationship between different water quality categories and their corresponding rendering colors. For example, when the water quality category is Class I, the rendering color is green, and when the water quality category is Class V, the rendering color is purple. In this way, according to the water quality assessment results and mapping relationship corresponding to each sampling point, the rendering color corresponding to the sampling point can be determined. According to the rendering color, the sampling position corresponding to each sampling point in the river map is rendered. Since the location of the sampling point is a point position, the color of the river section between adjacent sampling points can be gradually changed according to the rendering colors corresponding to the sampling points at both ends of the river section. For example, the rendering color corresponding to sampling point 1 is blue, the rendering color corresponding to sampling point 2 is purple, and sampling point 1 is located upstream of sampling point 2. Then, the color of the river section between sampling point 1 and sampling point 2 can show a development trend from blue to purple.
[0064] In one embodiment, since the sampling points are fixed points, after analyzing the water quality situation of a certain sampling point, if it is found that the corresponding water quality situation is deteriorating, it is necessary to consider whether there are other pollution sources around the sampling point, such as factories, roads, farmland, etc. At this time, it is necessary to add corresponding sampling points based on the water quality situation, so as to better locate the source of water pollution and take corresponding treatment measures.
[0065] Therefore, for each sampling point, according to the situation change curve, the water quality situation change rate corresponding to the sampling point in different situation change cycles is calculated. The water quality situation change rate is used to characterize the degree of change of the water quality category. Each water quality category can be quantified into a level. For example, Class I corresponds to 1 and Class II corresponds to 2. In this way, according to the quantified level value, the water quality situation change rate corresponding to the sampling point can be calculated. The water quality situation change rate is compared with the preset change rate, where the preset change rate is 0. When the water quality situation change rate is greater than 0, it means that the pollution degree corresponding to the sampling point has increased. At this time, it is necessary to generate the corresponding sampling trajectory based on the river map according to the basin relationship between the sampling points. Then, according to the water quality situation change rate, the specified sampling points that produce water quality situation changes in the sampling trajectory are screened out, and the water quality situation change range composed of the specified sampling points is determined. Then, according to the water quality situation change range, the sampling trajectory is updated.
[0066] Among them, when determining the range of changes in water quality trends, it is first necessary to obtain the preset water quality impact distance. The water quality impact distance is used to characterize the degree of impact that a sampling point can have after being polluted, and it can be determined based on actual water quality testing experience data. When the water quality trend change rate corresponding to a sampling point is greater than the preset change rate, it is necessary to screen out target sampling points that have a water quality trend impact relationship with the sampling point from the designated sampling points based on the water quality impact distance. Among them, the target sampling point is located upstream or downstream of the sampling point. Then, the watershed where the sampling point and the target sampling point are located is used as the range of changes in water quality trends.
[0067] In this way, it is necessary to insert several new sampling points into the sampling trajectory for the sampling trajectory within the range of water quality situation changes. By adding new sampling points, the sampling trajectory can be more concentrated within the range of water quality situation changes where the pollution level is deepening, which is more conducive to locating the pollution source, so as to facilitate the adoption of more effective governance measures to solve the water pollution problem. It should be noted that if the water quality of the water body at the sampling point is affected by the upstream of the sampling point, the closer the location is to the sampling point, the lower the degree of impact. In addition, if the water flow is limited and the water body circulation is relatively closed, if the water quality of the water body at the sampling point is affected by the downstream of the sampling point, the closer the location is to the sampling point, the lower the corresponding degree of impact. For the location with the lower degree of impact, the sampling interval can be expanded accordingly to achieve the rational use of monitoring resources. Therefore, the sampling interval between the newly added sampling points gradually increases in the direction close to the sampling point.
[0068] The above are embodiments of the method proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.
[0069] Figure 2 This is a schematic diagram of the structure of a surface water quality assessment device provided in an embodiment of the present application. Figure 2 As shown, including:
[0070] at least one processor; and,
[0071] at least one processor is communicatively connected to a memory; wherein,
[0072] The memory stores instructions executable by at least one processor, the instructions being executed by at least one processor to enable the at least one processor to:
[0073] Collect water quality monitoring data corresponding to multiple sampling points set in the watershed to be monitored;
[0074] According to the current water quality monitoring period, the evaluation factor corresponding to the water quality monitoring data is determined, and the water quality monitoring data is evaluated according to the evaluation factor to obtain the water quality evaluation result of the corresponding sampling point; wherein the water quality evaluation result includes the water quality category and the index of excessive pollutants for each evaluation factor;
[0075] Based on the preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, and the analysis results are loaded into the analysis view corresponding to the analysis mode; among them, the analysis modes include administrative division analysis mode, water quality situation analysis mode and water quality spatial trend analysis mode.
[0076] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:
[0077] Collect water quality monitoring data corresponding to multiple sampling points set in the watershed to be monitored;
[0078] According to the current water quality monitoring period, the evaluation factor corresponding to the water quality monitoring data is determined, and the water quality monitoring data is evaluated according to the evaluation factor to obtain the water quality evaluation result of the corresponding sampling point; wherein the water quality evaluation result includes the water quality category and the index of excessive pollutants for each evaluation factor;
[0079] Based on the preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, and the analysis results are loaded into the analysis view corresponding to the analysis mode; among them, the analysis modes include administrative division analysis mode, water quality situation analysis mode and water quality spatial trend analysis mode.
[0080] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.
[0081] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.
[0082] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.
[0083] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0084] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0086] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0087] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0088] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0089] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.
[0090] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims
1. A method for assessing surface water quality, characterized in that: The method comprises: Collect water quality monitoring data corresponding to multiple sampling points set in the watershed to be monitored; Determine the evaluation factor corresponding to the water quality monitoring data according to the current water quality monitoring period, and evaluate the water quality monitoring data according to the evaluation factor to obtain the water quality evaluation result of the corresponding sampling point; wherein the water quality evaluation result includes the water quality category and the excessive pollutant index of each evaluation factor; Based on a preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, and the analysis results are loaded into the analysis view corresponding to the analysis mode; wherein the analysis mode includes an administrative division analysis mode, a water quality situation analysis mode and a water quality spatial trend analysis mode; Based on the preset analysis mode, the water quality assessment results are summarized and analyzed to obtain different analysis results, including: Based on the administrative division analysis model, the number of sampling points corresponding to each water quality category in the preset administrative division is summarized, and the proportion of the number of sampling points corresponding to different water quality categories is calculated; Based on the water quality situation analysis mode, according to the preset situation change cycle, according to the water quality assessment results corresponding to the sampling points, a corresponding situation change curve is generated; Based on the water quality spatial trend analysis mode, the river map corresponding to the watershed to be monitored is loaded, and according to the water quality assessment result, the color of the river section where the corresponding sampling point in the river map is located is rendered; After generating a corresponding situation change curve according to the water quality assessment result corresponding to the sampling point, the method further includes: For each sampling point, according to the situation change curve, the water quality situation change rate corresponding to the sampling point in different situation change cycles is calculated; When the water quality situation change rate is greater than a preset change rate, generating a corresponding sampling trajectory based on the river map and according to the watershed relationship between the sampling points; According to the water quality situation change rate, the designated sampling points in the sampling trajectory where the water quality situation changes occur are screened out, and the water quality situation change range formed by the designated sampling points is determined; According to the range of change of the water quality situation, the sampling trajectory is updated; Determine the range of water quality situation changes composed of the designated sampling points, including: Get the preset water quality impact distance; When the water quality situation change rate corresponding to the sampling point is greater than the preset change rate, a target sampling point having a water quality situation influence relationship with the sampling point is screened out from the designated sampling points according to the water quality influence distance; wherein the target sampling point is located upstream or downstream of the sampling point; The watershed where the sampling point and the target sampling point are located is used as the water quality situation change range; According to the range of changes in the water quality situation, the sampling trajectory is updated, specifically including: For the sampling trajectory within the range of water quality situation change, a number of new sampling points are inserted into the sampling trajectory; wherein the sampling intervals between the new sampling points gradually increase in a direction approaching the sampling points.
2. A surface water quality assessment method according to claim 1, characterized in that: According to the water quality assessment result, the color of the river section corresponding to the sampling point in the river map is rendered, specifically including: Determine the sampling position of each sampling point in the river map; Obtaining a mapping relationship between different water quality categories and their corresponding rendering colors, and determining the rendering color corresponding to each sampling point according to a water quality assessment result corresponding to each sampling point and the mapping relationship; According to the rendering color, the sampling positions corresponding to the sampling points in the river map are rendered; wherein the color of the river section between adjacent sampling points is gradually changed according to the rendering colors corresponding to the sampling points at both ends of the river section.
3. A surface water quality assessment method according to claim 1, characterized in that: According to the evaluation factors, the water quality monitoring data is evaluated, specifically including: Obtain the index interval corresponding to each evaluation factor; wherein each index interval corresponds to a water quality category; For each evaluation factor, matching the actual monitoring value in the water quality monitoring data that matches the evaluation factor with the indicator interval to determine the water quality category of the sampling point under the evaluation factor; When the water quality category exceeds the preset level, the actual monitoring value is divided by the evaluation standard value corresponding to the water quality category to obtain the excessive pollution index of the sampling point under the evaluation factor.
4. A surface water quality assessment method according to claim 3, characterized in that: The water quality assessment results of the corresponding sampling points are obtained, including: From the water quality categories corresponding to the various evaluation factors, the designated evaluation factor corresponding to the worst water quality category is screened out, and the water quality category and the excessive pollution index corresponding to the designated evaluation factor are used as the water quality evaluation result of the corresponding sampling point.
5. A surface water quality assessment device, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a surface water quality assessment method as described in any one of claims 1-4.
6. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: A method for assessing surface water quality as described in any one of claims 1 to 4.
Citation Information
Patent Citations
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