A method and system for optimizing and adjusting soil environmental monitoring network sites

Abstract

The present disclosure relates to the technical field of environmental monitoring, and provides a method and system for optimizing and adjusting soil environmental monitoring network points. The method includes: obtaining the latest agricultural land soil monitoring data; screening out the first-category polluted agricultural land and the second-category polluted agricultural land from the agricultural land soil monitoring data; respectively testing the pollutant contents of multiple measurement points in the first-category polluted agricultural land and the second-category polluted agricultural land to obtain the first test result and the second test result, and respectively screening out the first monitoring points and the second monitoring points according to the first and second test results; optimizing and adjusting the points in the soil environmental monitoring network according to the first monitoring points and the second monitoring points to obtain an updated soil environmental monitoring network. Through this updated soil environmental monitoring network, the present disclosure can achieve global monitoring of the national soil environmental quality, and accurate assessment of the change trend of the national soil environmental quality and the change trend of the pollution of the monitored agricultural land.

Description

Technical Field

[0001] The present disclosure relates to the technical field of environmental monitoring, and particularly to a method and system for optimizing and adjusting the positions of soil environmental monitoring points. Background Art

[0002] Soil is the material basis for the sustainable development of the economy and society. Strengthening soil environmental protection is an important part of promoting ecological civilization construction and maintaining national ecological security. Soil environmental monitoring refers to the monitoring activities of the sources, pollution levels, accumulation, transfer or degradation pathways of various metals, organic pollutants, pesticides and pathogenic bacteria in soil.

[0003] Currently, the overall supervision of the national soil environment is mainly implemented through the national soil environmental monitoring network (hereinafter referred to as the "national network"). However, according to the new management requirements, there are still imperfections in the layout settings of the monitoring points, background points and basic points in the existing national network. For example, there is an overlap between the existing monitoring points and the detailed soil survey points, and some agricultural lands with soil environmental risks are yet to be monitored daily during the detailed soil survey; the layout of the basic points and background points still needs to be further optimized and improved. Therefore, the existing national network has not been able to achieve the overall monitoring of the national soil environmental quality, and the accurate assessment of the changing trends of the national soil environmental quality and the pollution changes of the monitored agricultural lands, so as to further guide the national soil pollution prevention and control work. Summary of the Invention

[0004] In view of this, the embodiments of the present disclosure provide a method and system for optimizing and adjusting the positions of soil environmental monitoring points, so as to solve the problem of how to further improve the layout settings of the monitoring points, background points and basic points in the national network, so as to achieve the overall monitoring of the national soil environmental quality, and the accurate assessment of the changing trends of the national soil environmental quality and the pollution changes of the monitored agricultural lands, and further guide the national soil pollution prevention and control work.

[0005] In the first aspect of the embodiments of the present disclosure, a method for optimizing and adjusting the positions of soil environmental monitoring points is provided, including:

[0006] Obtaining the latest soil monitoring data of agricultural lands, where the soil monitoring data of agricultural lands includes the soil parent material background value, soil pollution influencing factors and soil pollution degree of the detailed agricultural lands;

[0007] According to the soil monitoring data of agricultural lands, screening out the first-category polluted agricultural lands and the second-category polluted agricultural lands among them;

[0008] Testing the pollutant contents at multiple measurement points in the first-category polluted agricultural lands to obtain a first test result, and screening out the first monitoring points according to the first test result;

[0009] Pollutant content tests are conducted on multiple measurement points in the agricultural land of the second pollution category to obtain the second test results, and the second monitoring points are selected according to the second test results;

[0010] Based on the first monitoring points and the second monitoring points, the points in the soil environment monitoring network are optimized and adjusted to obtain an updated soil environment monitoring network.

[0011] In the second aspect of the embodiments of the present disclosure, a system for optimizing and adjusting the points of a soil environment monitoring network is provided, including:

[0012] A data acquisition module configured to acquire the latest agricultural land soil monitoring data, where the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed investigation agricultural land;

[0013] A selection module configured to select the first pollution category agricultural land and the second pollution category agricultural land therefrom according to the agricultural land soil monitoring data;

[0014] A first screening module configured to conduct pollutant content tests on multiple measurement points in the first pollution category agricultural land to obtain the first test results, and select the first monitoring points according to the first test results;

[0015] A second screening module configured to conduct pollutant content tests on multiple measurement points in the second pollution category agricultural land to obtain the second test results, and select the second monitoring points according to the second test results;

[0016] An adjustment module configured to optimize and adjust the points in the soil environment monitoring network according to the first monitoring points and the second monitoring points to obtain an updated soil environment monitoring network.

[0017] The beneficial effects of the embodiments of the present disclosure compared with the prior art at least include: by obtaining the latest agricultural land soil monitoring data, the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed investigation agricultural land; according to the agricultural land soil monitoring data, the first pollution category agricultural land and the second pollution category agricultural land are screened out; the pollutant content tests are carried out on multiple measurement points in the first pollution category agricultural land to obtain the first test result, and the first monitoring point is screened out according to the first test result; the pollutant content tests are carried out on multiple measurement points in the second pollution category agricultural land to obtain the second test result, and the second monitoring point is screened out according to the second test result; according to the first monitoring point and the second monitoring point, the points in the soil environmental monitoring network are optimized and adjusted to obtain an updated soil environmental monitoring network, that is, the layout settings of the monitoring points, background points, and basic points in the national network are further improved, so that the global monitoring of the national soil environmental quality and the accurate assessment of the change trend of the national soil environmental quality and the change trend of the monitored agricultural land pollution can be realized through the updated soil environmental monitoring network, so as to further guide the national soil pollution prevention and control work. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 is a flowchart of a method for optimizing and adjusting the positions of soil environmental monitoring network points provided by an embodiment of the present disclosure;

[0020] Figure 2 is a structural diagram of a system for optimizing and adjusting the positions of soil environmental monitoring network points provided by an embodiment of the present disclosure;

[0021] Figure 3 is a structural diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present disclosure. However, those skilled in the art should clearly understand that the present disclosure can also be implemented in other embodiments without these specific details. In other cases, the detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present disclosure.

[0023] The following will describe in detail a method and system for optimizing and adjusting soil environmental monitoring site positions according to an embodiment of the present disclosure in conjunction with the accompanying drawings.

[0024] Figure 1 It is a flowchart of a method for optimizing and adjusting soil environmental monitoring site positions provided by an embodiment of the present disclosure. As Figure 1 shown, the method for optimizing and adjusting soil environmental monitoring site positions includes:

[0025] Step S101, obtaining the latest agricultural land soil monitoring data, where the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed survey agricultural land.

[0026] Among them, the soil parent material background value usually refers to the background value of soil salinity, that is, the salt content of the naturally formed soil without human interference.

[0027] Soil pollution influencing factors mainly include agricultural influencing factors (for example, the influence of operations such as fertilization and agricultural irrigation on the composition and / or content of the soil of agricultural land), industrial influencing factors (that is, the influence of pollutants generated by industrial production activities on the composition and / or content of the soil, for example, the influence of wastewater generated by the ferrous metal mining and dressing industry on the composition and / or content of the soil), and other influencing factors (mainly referring to some factors that cannot be accurately defined, for example, the change in the composition and / or content of the soil caused by atmospheric deposition, etc.).

[0028] The soil pollution degree mainly refers to the amount of accumulation of soil pollution components in agricultural land under the action of the above soil parent material background value and / or soil pollution influencing factors.

[0029] In one embodiment, the latest agricultural land soil monitoring data can be obtained through the Internet, big data platforms, etc. Among them, the latest agricultural land soil monitoring data specifically includes the detailed survey monitoring data of the soil of national agricultural land (that is, the detailed survey agricultural land) (including monitoring items, monitoring results, and analysis conclusions).

[0030] Step S102, screening out the first pollution category agricultural land and the second pollution category agricultural land according to the agricultural land soil monitoring data.

[0031] Among them, the first pollution category agricultural land refers to agricultural land not affected by industrial sources. The second pollution category agricultural land refers to agricultural land affected by industrial sources.

[0032] As an example, first, the detailed survey agricultural land can be divided into a high-background area (i.e., agricultural land with a relatively high soil parent material background value) and a low-background area (i.e., agricultural land with a relatively low soil parent material background value) according to the background value of the soil parent material; then, combined with the soil pollution influencing factors and the degree of soil pollution, further determine the agricultural land affected by non-industrial sources (i.e., the first pollution category agricultural land) and the agricultural land affected by industrial sources (i.e., the second pollution category agricultural land).

[0033] Step S103, conduct pollutant content tests on multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screen out the first monitoring points according to the first test result.

[0034] As an example, a number of measurement points can be pre-laid in the first pollution category agricultural land, and the number of these measurement points can be set as needed according to the items of the soil survey. Then, conduct pollutant content tests on multiple measurement points in the first pollution category agricultural land, mainly testing the index values of 5 heavy metals, namely cadmium, mercury, arsenic, lead, and chromium in the soil, to obtain a first test result (i.e., the 5 heavy metal index values of each measurement point); finally, screen out some measurement points as the first monitoring points according to the first test result.

[0035] Step S104, conduct pollutant content tests on multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screen out the second monitoring points according to the second test result.

[0036] As an example, first, determine the industrial enterprises involved in the second pollution category agricultural land according to the soil detailed survey results in the latest agricultural land soil monitoring data, and then screen out six key industries with greater impact on soil quality (such as ferrous metal mining and dressing, non-ferrous metal mining and dressing, manufacture of chemical raw materials and chemical products, ferrous metal smelting, non-ferrous metal smelting and metal products processing) from the above-mentioned involved industrial enterprises according to the analysis conclusions in the soil monitoring data; then, conduct pollutant content tests on multiple measurement points pre-laid in the second pollution category agricultural land, mainly testing the index values of 5 heavy metals, namely cadmium, mercury, arsenic, lead, and chromium in the soil, to obtain a second test result (i.e., the 5 heavy metal index values of each measurement point), and then select the measurement points corresponding to the industrial enterprises of the six key industries with greater impact on soil quality screened out above as the second monitoring points according to the second test result.

[0037] Step S105, optimize and adjust the points in the soil environment monitoring network according to the first monitoring points and the second monitoring points to obtain an updated soil environment monitoring network.

[0038] As an example, using the first monitoring point and the second monitoring point selected through the above steps, add, delete, adjust the points in the currently used soil environment monitoring network (including background points, basic points and monitoring points), or adjust the positions of the points in the currently used soil environment monitoring network in the grid, so as to obtain an updated soil environment monitoring network.

[0039] The technical solution provided by the embodiments of the present disclosure includes obtaining the latest agricultural land soil monitoring data, which includes the soil parent material background value, soil pollution influencing factors and soil pollution degree of the detailed investigation agricultural land; screening out the first pollution category agricultural land and the second pollution category agricultural land from the agricultural land soil monitoring data; testing the pollutant content of multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screening out the first monitoring point according to the first test result; testing the pollutant content of multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screening out the second monitoring point according to the second test result; optimizing and adjusting the points in the soil environment monitoring network according to the first monitoring point and the second monitoring point to obtain an updated soil environment monitoring network, further improving the layout settings of the monitoring points, background points and basic points in the national network, so that the overall monitoring of the national soil environment quality and the accurate assessment of the change trend of the national soil environment quality and the change trend of the pollution of the monitored agricultural land can be realized through the updated soil environment monitoring network, so as to further guide the national soil pollution prevention and control work.

[0040] In some embodiments, the above step S102 includes:

[0041] Determine the soil pollution accumulation degree of the detailed investigation agricultural land according to the soil parent material background value and the soil pollution degree;

[0042] Divide the detailed investigation agricultural land according to the soil pollution accumulation degree and the soil pollution influencing factors to obtain the first pollution category agricultural land and the second pollution category agricultural land.

[0043] Specifically, first, according to the soil parent material background values in the latest agricultural land soil monitoring data, the detailed survey agricultural land can be divided into high-background areas (i.e., areas with relatively high soil parent material background values, such as areas with relatively high salt content (such as a certain heavy metal content)) and low-background areas (i.e., areas with relatively low soil parent material background values, such as areas with relatively low salt content); then, combined with the degree of soil pollution (mainly referring to the degree of heavy metal pollution), high-accumulation areas and low-accumulation areas in the detailed survey agricultural land are determined, that is, the degree of soil pollution accumulation in the detailed survey agricultural land is determined; then, combined with soil pollution influencing factors (mainly referring to the causes of soil pollution), the agricultural land in the high-accumulation area is further divided into ① agricultural or other factor-influenced high-accumulation areas (including key high-background agricultural or other factor-influenced high-accumulation areas and non-key high-background agricultural or other factor-influenced high-accumulation areas), that is, agricultural land of the first pollution category; ② industrial-influenced high-accumulation areas (including key high-background industrial-influenced high-accumulation areas and non-key high-background industrial-influenced high-accumulation areas), that is, agricultural land of the second pollution category.

[0044] In some embodiments, step S103 described above includes:

[0045] Test the pollutant content at multiple measurement points in the agricultural land of the first pollution category to obtain measurement results corresponding to each measurement point;

[0046] Cluster the measurement points according to the point measurement results to obtain a first clustering result, and the first clustering result includes first-class agricultural land plots and second-class agricultural land plots;

[0047] Select first evaluation plots that meet the preset agricultural land area from the first-class agricultural land plots and the second-class agricultural land plots, and the first evaluation plots contain multiple evaluation points;

[0048] Select first monitoring points from the multiple evaluation points according to the preset point selection rules.

[0049] As an example, assume that 10,000 measurement points are pre-laid in agricultural land of the first pollution category. Then, the pollutant content in the soil of these 10,000 measurement points can be tested respectively (testing the content of 5 heavy metal elements, namely cadmium, mercury, arsenic, lead, and chromium in the soil). Among them, the specific pollutant content testing method can refer to the existing heavy metal content evaluation method (for example, the relevant testing method in the "Notice on Issuing <Technical Provisions for the Risk Assessment of Agricultural Land Soil Environment (Trial)>" (Letter No. 1479

[2018] of the Soil Department of the Ministry of Environmental Protection)). After testing, measurement results corresponding to each measurement point can be obtained, a total of 10,000 measurement results. Then, the content values of the above 5 heavy metal elements in each measurement result are respectively compared with the preset 5 heavy metal index values to obtain the difference between the heaviest heavy metal element in each measurement point and its corresponding index value, and the measurement points are clustered according to this difference to obtain the first clustering result. Among them, the first clustering result includes first-class agricultural land plots (that is, the difference between the heaviest heavy metal element and its corresponding index value is within the preset first numerical range) and second-class agricultural land plots (that is, the difference between the heaviest heavy metal element and its corresponding index value is within the preset second numerical range). The first numerical range and the second numerical range here can be flexibly set according to the actual situation, specifically set according to relevant national standards, and no specific restrictions are made here. In practical applications, the agricultural land plots with the difference falling within the first numerical range can be correspondingly determined as light pollution or pollution-free plots of heavy metals (that is, priority protection class evaluation units); the agricultural land plots with the difference falling within the second numerical range can be correspondingly determined as moderately polluted plots of heavy metals (that is, safe utilization class evaluation units).

[0050] Among them, the preset area of agricultural land can be flexibly set according to the actual situation. For example, it can be set to ≥5 square kilometers, 10 square kilometers, etc., and no specific limit is made here.

[0051] Next, combined with the above example, the first plot to be evaluated that meets the preset area of agricultural land (for example, ≥5 square kilometers) can be further selected from the above-selected first-class and second-class agricultural land plots. Finally, according to the preset point selection rule, the first monitoring point is selected from multiple points to be evaluated in the above first plot to be evaluated.

[0052] In one example, multiple points to be evaluated can be sorted according to the preset sorting rule to obtain the first sorting result; according to the first sorting result and the number of points to be evaluated, the first monitoring point is selected from multiple points to be evaluated.

[0053] Among them, the preset sorting rule can be to sort all the points to be evaluated in the first plot to be evaluated in descending order according to the maximum single factor (the factor corresponding to the maximum index obtained by evaluating each point to be evaluated through the single factor index method).

[0054] As an example, first, the maximum single factor of each point to be evaluated can be calculated according to the single factor index method; then, all the points to be evaluated are sorted in descending order of the maximum single factor to obtain the first sorting result; next, according to the number of total points to be evaluated in the first plot to be evaluated, a certain number of first monitoring points are sequentially selected in the direction from large to small according to the first sorting result.

[0055] For example, there are 10 points to be evaluated in the first plot to be evaluated, namely points to be evaluated 01, 02, 03, 04, 05, 06, 07, 08, 09, and 10. The sorting result of sorting these 10 points to be evaluated in descending order of the maximum single factor is 10 > 02 > 01 > 04 > 08 > 07 > 03 > 06 > 05 > 09. Then, the first five points to be evaluated, 10, 02, 01, 04, and 08, can be selected as the first monitoring points.

[0056] In some embodiments, the above step of screening out the first monitoring points from multiple points to be evaluated according to the first sorting result and the number of points to be evaluated specifically includes:

[0057] If the number of points to be evaluated meets the preset first range value, all the points to be evaluated in the first plot to be evaluated are determined as the first monitoring points;

[0058] If the number of points to be evaluated meets the preset second range value, the first monitoring points are screened out from multiple points to be evaluated according to the first sorting result, and the number of the first monitoring points is the lower limit value of the second range value;

[0059] If the number of points to be evaluated meets the preset third range value, points not exceeding 10% of its total number are screened out from multiple points to be evaluated according to the first sorting result as the first monitoring points;

[0060] If the number of points to be evaluated meets the preset fourth range value, points not exceeding 20 are screened out from multiple points to be evaluated according to the first sorting result as the first monitoring points.

[0061] Since there is no direct proportional relationship between the agricultural land area in the first plot to be evaluated obtained by the above screening and the number of point layouts, and the number of points in the evaluation units with similar agricultural land areas has a large span, therefore, to continue the soil detailed survey layout situation, the first monitoring points can be obtained by screening according to a certain proportion of the original layout point number.

[0062] Among them, the preset first range value, second range value, third range value, and fourth range value can be set according to the actual situation. For example, these four range values can be set respectively as follows: the first range value is <5, the second range value is 5 ≤ N ≤ 50, the third range value is 50 < N ≤ 200, and the fourth range value is N > 200. N represents the total number of all the points to be evaluated in the first plot to be evaluated.

[0063] In one embodiment, assume that the preset first range value is <5, the second range value is 5 ≤ N ≤ 50, the third range value is 50 < N ≤ 200, and the fourth range value is N > 200. In the first case, if the total number of all the points to be evaluated in the first plot to be evaluated is 4, then all 4 points to be evaluated in the first plot to be evaluated are determined as the first monitoring points. In the second case, if the total number of all the points to be evaluated in the first plot to be evaluated is 25, then the first 5 points to be evaluated can be selected from them according to the maximum single factor sorting result of all the points to be evaluated in the first plot to be evaluated as the first monitoring points. In the third case, if the total number of all the points to be evaluated in the first plot to be evaluated is 150, then the first 15 points to be evaluated can be selected from them according to the maximum single factor sorting result of all the points to be evaluated in the first plot to be evaluated as the first monitoring points. In the fourth case, if the total number of all the points to be evaluated in the first plot to be evaluated is 250, then the first 20 points to be evaluated can be selected from them according to the maximum single factor sorting result of all the points to be evaluated in the first plot to be evaluated as the first monitoring points.

[0064] In some embodiments, the above step S104 includes:

[0065] Screen out the industries with key soil concerns from the industrial enterprises involved in the second category of polluted agricultural land; [[ID=]]

[0066] Test the pollutant content at multiple test points in the agricultural land corresponding to the industries with key soil concerns to obtain the test results corresponding to each test point;

[0067] Cluster the test points according to the test results to obtain the second clustering result, and the second clustering result includes Class A agricultural land plots and Class B agricultural land plots;

[0068] Screen out the second plots to be evaluated that meet the preset agricultural land area from the Class A agricultural land plots and Class B agricultural land plots, and the second plots to be evaluated contain multiple candidate points;

[0069] According to the preset point screening rules, screen out the second monitoring points from the multiple candidate points.

[0070] As an example, the industrial enterprises involved in the agricultural land of the second pollution category can be determined first according to the latest agricultural land soil monitoring data; then, the key industries concerning soil can be screened out from these involved industrial enterprises, that is, the six key industries with greater impact on soil quality; then, the pollutant content tests are carried out on multiple test points pre-laid in the agricultural land corresponding to the screened key industries concerning soil. The specific test method can refer to the pollutant content test method of the measurement points of the agricultural land of the first pollution category above, which will not be elaborated here.

[0071] When laying out the test points, multiple test points (for example, 3 test points) can be laid out according to the influence range of each industrial enterprise on the surrounding soil. In specific applications, the first 3 points can be selected for layout according to the sorting result of the maximum single factor concentration; the test points can also be set near 50m, 100m and 200m from the center of the industrial enterprise. When laying out the test points, it is necessary to take into account the four directions around the enterprise and different land use types around the enterprise.

[0072] After that, the subsequent clustering of the test results is carried out to obtain the second clustering result, and further the second plot to be evaluated is selected according to the second clustering result. Furthermore, according to the preset point screening rules, the specific implementation method of selecting the second monitoring point from the second plot to be evaluated is basically the same as the specific implementation method of the above-mentioned first monitoring point. Therefore, the second monitoring point can be obtained by referring to the screening method of the above-mentioned first monitoring point, which will not be elaborated here.

[0073] In some embodiments, the above step S105 includes:

[0074] Comparing the first monitoring point and the second monitoring point with the points in the soil environment monitoring network to obtain a comparison result;

[0075] Updating and adjusting the original monitoring points in the soil environment monitoring network according to the comparison result to obtain an updated soil environment monitoring network.

[0076] As an example, using the above-mentioned latest agricultural land soil monitoring data, the agricultural land affected by non-industrial sources (i.e., the agricultural land of the first pollution category) and the agricultural land affected by industrial sources (i.e., the agricultural land of the second pollution category) with high-accumulation areas as the main focus can be accurately screened out, and further the maximum single factor test points (i.e., the first monitoring point and the second monitoring point) of these two types of agricultural land can be screened out. Then, the selected first monitoring point and second monitoring point are compared with the points in the currently used soil environment monitoring network. Here, mainly the scattered positions, quantities, etc. between them are compared to obtain a comparison result. Finally, the original monitoring points in the soil environment monitoring network are updated and adjusted according to the comparison result to obtain an updated soil environment monitoring network.

[0077] Specifically, for the original monitoring points with pollution, those original monitoring points that fall outside the scope of the first to-be-evaluated plot or the second to-be-evaluated plot selected above are continued to be retained in the currently used soil environment monitoring network; those original monitoring points that fall within the scope of the first to-be-evaluated plot or the second to-be-evaluated plot selected above are not retained. For the original monitoring points without pollution found, these original monitoring points and their corresponding industrial enterprises are removed. That is to say, through the first monitoring points and the second monitoring points selected above, the original monitoring points of the agricultural land with remaining pollution in the currently used soil environment monitoring network are added or deleted; the points without pollution found in the latest agricultural land soil monitoring data this time and their corresponding industrial enterprises are deleted, so as to obtain an updated soil environment monitoring network.

[0078] In the embodiment of the present disclosure, by using the latest agricultural land soil monitoring data, the first monitoring points and the second monitoring points are selected, and according to the first monitoring points and the second monitoring points, the original monitoring points with remaining pollution in the currently used soil environment monitoring network are adjusted and updated, and the original monitoring points without pollution found in the monitoring network are removed, which can better improve the layout settings of the monitoring points, background points and basic points in the national network, so that through this updated soil environment monitoring network, the overall monitoring of the national soil environment quality can be realized, and the accurate assessment of the change trend of the national soil environment quality and the change trend of the pollution of the monitored agricultural land can be carried out, and further guide the national soil pollution prevention and control work.

[0079] In some embodiments, the above method further includes:

[0080] Count the number of detailed soil investigation points in each basic point grid of the updated soil environment monitoring network, and the number of detailed soil investigation points is the total number of the first monitoring points and the second monitoring points;

[0081] When the number of detailed soil investigation points in the basic point grid is greater than zero, determine whether there is a soil environment quality dominant category according to the basic points and the detailed soil investigation points in the basic point grid;

[0082] If there is, adjust the basic points in the basic point grid according to the soil environment quality dominant category to obtain an adjusted soil environment monitoring network.

[0083] Among them, the updated soil environment monitoring network is composed of multiple basic point grids, and each basic point grid contains a basic point.

[0084] As an example, count and update the total number of the first monitoring points and the second monitoring points in each basic point grid of the soil environment monitoring network. When the number of soil detailed survey points in the basic point grid is equal to zero, that is, no soil detailed survey points appear in the basic point grid, then keep the existing basic points unchanged. When the number of soil detailed survey points in the basic point grid is greater than zero, that is, soil detailed survey points appear in the basic point grid, then, on the premise of keeping the land use type of the basic points of the currently used soil environment monitoring network unchanged, further calculate the sum of the total number of Class I agricultural land and Class II agricultural land in the first monitoring points and the total number of Class A agricultural land and Class B agricultural land in the second monitoring points that appear in this basic grid, and calculate the percentage of this sum in all the points (excluding the basic points and background points) in this basic grid. Then, determine whether there is a soil environmental quality dominant category in the basic point grid according to this percentage. For example, when the percentage of Class I agricultural land in the first monitoring points that appear in the basic grid in all the positioning in this basic grid is greater than 50%, it is determined that there is a soil environmental quality dominant category in this basic grid, and this dominant category is Class I agricultural land. If the basic point in this basic grid is consistent with this dominant category, then keep the original basic points in this basic grid unchanged. If the basic point in this basic grid is inconsistent with this dominant category, then select a point that is consistent with this dominant category and as close as possible to the grid center in this basic grid to replace the original basic point. If there is no dominant category, then keep the original basic points in the basic grid.

[0085] In addition, for the points in the background points that are clearly affected by human interference and are no longer suitable as background points, considering the continuity of the data, they can be changed to basic points.

[0086] In the embodiment of the present disclosure, by adjusting the basic points in the existing soil environment monitoring network through the technical solution of the present disclosure, approximately 95% of the basic points remain unchanged, thus ensuring the comparability of the basic points in the soil environment monitoring network.

[0087] In some embodiments, in the above step, after adjusting the basic points in the basic point grid according to the soil environmental quality dominant category to obtain the adjusted soil environment monitoring network, it further includes:

[0088] Conduct a comprehensive inventory of the basic points and background points of the adjusted soil environment monitoring network to obtain an inventory result;

[0089] If it is determined according to the inventory result that the adjusted soil environment monitoring network does not cover all counties, then add corresponding monitoring points to the adjusted soil environment monitoring network according to the preset point layout rules.

[0090] As an example, the county coverage of the basic points and background points in the optimized soil environment monitoring network is investigated to obtain the inventory results. If the inventory results show that there are some counties not covered by the adjusted soil environment monitoring network, corresponding monitoring points are added to the adjusted soil environment monitoring network according to the preset site layout rules (for example, the existing basic point layout principle of the soil environment monitoring network), and the situation where it is impossible to find a suitable location to set up basic points is explained.

[0091] In the embodiment of the present disclosure, by comprehensively investigating the basic points and background points of the adjusted soil environment monitoring network and supplementing the monitoring points of the uncovered counties according to the inventory results, the layout of various points in the adjusted soil environment monitoring network can be made more scientific and reasonable, so that it can realize the global monitoring of the national soil environment quality and the accurate assessment of the change trend of the national soil environment quality and the change trend of the pollution of the monitored agricultural land, which is beneficial to further guiding the national soil pollution prevention and control work.

[0092] All the above optional technical solutions can be combined arbitrarily to form the optional embodiments of the present application, which will not be elaborated one by one here.

[0093] The following is the device embodiment of the present disclosure, which can be used to execute the method embodiment of the present disclosure. For the details not disclosed in the device embodiment of the present disclosure, please refer to the method embodiment of the present disclosure.

[0094] Figure 2 It is a schematic structural diagram of a soil environment monitoring network site optimization and adjustment system provided by an embodiment of the present disclosure. As Figure 2 shown, the soil environment monitoring network site optimization and adjustment system includes:

[0095] A data acquisition module 201, configured to acquire the latest agricultural land soil monitoring data, where the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed investigation agricultural land;

[0096] A selection module 202, configured to screen out the first pollution category agricultural land and the second pollution category agricultural land from the agricultural land soil monitoring data;

[0097] A first screening module 203, configured to test the pollutant content of multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screen out the first monitoring points according to the first test result;

[0098] A second screening module 204, configured to test the pollutant content of multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screen out the second monitoring points according to the second test result;

[0099] Adjustment module 205, configured to optimize and adjust the points in the soil environment monitoring network according to the first monitoring point and the second monitoring point, to obtain an updated soil environment monitoring network.

[0100] The technical solution provided by the embodiments of the present disclosure obtains the latest agricultural land soil monitoring data through the data acquisition module 201. The agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed investigation agricultural land. The selection module 202 screens out the first pollution category agricultural land and the second pollution category agricultural land from the agricultural land soil monitoring data according to the agricultural land soil monitoring data. The first screening module 203 performs a pollutant content test on multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screens out the first monitoring point according to the first test result. The second screening module 204 performs a pollutant content test on multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screens out the second monitoring point according to the second test result. The adjustment module 205 optimizes and adjusts the points in the soil environment monitoring network according to the first monitoring point and the second monitoring point to obtain an updated soil environment monitoring network, that is, further improves the layout settings of the monitoring points, background points, and basic points in the national network, so that the updated soil environment monitoring network can realize the global monitoring of the national soil environment quality, and the accurate assessment of the change trend of the national soil environment quality and the change trend of the pollution of the monitored agricultural land, so as to further guide the national soil pollution prevention and control work.

[0101] In some embodiments, the above selection module 202 includes:

[0102] A determination unit, configured to determine the soil pollution accumulation degree of the detailed investigation agricultural land according to the soil parent material background value and the soil pollution degree;

[0103] A division unit, configured to divide the detailed investigation agricultural land according to the soil pollution accumulation degree and the soil pollution influencing factors to obtain the first pollution category agricultural land and the second pollution category agricultural land.

[0104] In some embodiments, the above first screening module 203 includes:

[0105] A measurement unit, configured to perform a pollutant content test on multiple measurement points in the first pollution category agricultural land to obtain a measurement result corresponding to each measurement point;

[0106] A first clustering unit, configured to cluster the measurement points according to the point measurement results to obtain a first clustering result, and the first clustering result includes a first-class agricultural land block and a second-class agricultural land block;

[0107] The first screening unit is configured to screen out the first plot to be evaluated that meets the preset agricultural land area from the first-class agricultural land plots and the second-class agricultural land plots. The first plot to be evaluated contains multiple points to be evaluated;

[0108] The point selection unit is configured to screen out the first monitoring point from the multiple points to be evaluated according to the preset point screening rules.

[0109] In some embodiments, the above point selection unit is specifically configured to:

[0110] Sort the multiple points to be evaluated according to the preset sorting rules to obtain the first sorting result;

[0111] Screen out the first monitoring point from the multiple points to be evaluated according to the first sorting result and the number of points to be evaluated.

[0112] In some embodiments, the above step of screening out the first monitoring point from the multiple points to be evaluated according to the first sorting result and the number of points to be evaluated includes:

[0113] If the number of points to be evaluated meets the preset first range value, all the points to be evaluated in the first plot to be evaluated are determined as the first monitoring points;

[0114] If the number of points to be evaluated meets the preset second range value, screen out the first monitoring point from the multiple points to be evaluated according to the first sorting result. The number of the first monitoring points is the lower limit value of the second range value;

[0115] If the number of points to be evaluated meets the preset third range value, screen out no more than 10% of the total number of points from the multiple points to be evaluated as the first monitoring points;

[0116] If the number of points to be evaluated meets the preset fourth range value, screen out no more than 20 points from the multiple points to be evaluated as the first monitoring points.

[0117] In some embodiments, the above second screening module 204 includes:

[0118] The industry screening unit is configured to screen out the industries with key concerns about soil from the industrial enterprises involved in the second pollution category of agricultural land;

[0119] The testing unit is configured to test the pollutant content of multiple testing points in the agricultural land corresponding to the industries with key concerns about soil to obtain the test results corresponding to each testing point;

[0120] The second clustering unit is configured to cluster the test points according to the test results to obtain a second clustering result, where the second clustering result includes Class A agricultural land plots and Class B agricultural land plots;

[0121] The second screening unit is configured to screen out second plots to be evaluated that meet the preset agricultural land area from the Class A agricultural land plots and the Class B agricultural land plots, and the second plots to be evaluated contain multiple candidate points;

[0122] The point screening unit is configured to screen out second monitoring points from the multiple candidate points according to the preset point screening rules.

[0123] In some embodiments, the above adjustment module 205 includes:

[0124] The comparison unit is configured to compare the first monitoring point and the second monitoring point with the points in the soil environment monitoring network to obtain a comparison result;

[0125] The update unit is configured to update and adjust the original monitoring points in the soil environment monitoring network according to the comparison result to obtain an updated soil environment monitoring network.

[0126] In some embodiments, the above system further includes:

[0127] The statistics module is configured to count the number of soil detailed investigation points in each basic point grid in the updated soil environment monitoring network, and the number of soil detailed investigation points is the total number of the first monitoring points and the second monitoring points;

[0128] The judgment module is configured to determine whether there is a soil environmental quality dominant category in the basic point grid according to the basic points and the soil detailed investigation points in the basic point grid when the number of soil detailed investigation points in the basic point grid is greater than zero;

[0129] The basic point adjustment module is configured to, if there is, adjust the basic points in the basic point grid according to the soil environmental quality dominant category to obtain an adjusted soil environment monitoring network.

[0130] In some embodiments, the above system further includes:

[0131] The inventory module is configured to conduct a comprehensive inventory of the basic points and background points in the adjusted soil environment monitoring network to obtain an inventory result;

[0132] The point layout module is configured to, if it is determined according to the inventory result that the adjusted soil environment monitoring network does not cover all counties, add corresponding monitoring points to the adjusted soil environment monitoring network according to the preset point layout rules.

[0133] It should be understood that the sequence numbers of the steps in the above embodiments do not imply the order of execution. The order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present disclosure.

[0134] Figure 3 FIG. 4 is a schematic diagram of an electronic device 300 provided by an embodiment of the present disclosure. As Figure 3 shown, the electronic device 300 of this embodiment includes: a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program 303, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 301 executes the computer program 303, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0135] Exemplarily, the computer program 303 may be divided into one or more modules / units, and one or more modules / units are stored in the memory 302 and executed by the processor 301 to complete the present disclosure. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 303 in the electronic device 300.

[0136] The electronic device 300 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 300 may include, but is not limited to, the processor 301 and the memory 302. Those skilled in the art can understand that Figure 3 merely an example of the electronic device 300, and does not constitute a limitation to the electronic device 300. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, the electronic device may further include input / output devices, network access devices, a bus, etc.

[0137] The processor 301 may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc.

[0138] The memory 302 may be an internal storage unit of the electronic device 300, for example, the hard disk or memory of the electronic device 300. The memory 302 may also be an external storage device of the electronic device 300, for example, a plug-in hard disk equipped on the electronic device 300, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 302 may also include both an internal storage unit of the electronic device 300 and an external storage device. The memory 302 is used to store computer programs and other programs and data required by the electronic device. The memory 302 may also be used to temporarily store the data that has been output or will be output.

[0139] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be assigned to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0140] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0141] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present disclosure.

[0142] In the embodiments provided in the present disclosure, it should be understood that the disclosed device / electronic device and method can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. Multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0143] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] In addition, in each embodiment of the present disclosure, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0145] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above method embodiments of the present disclosure, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method embodiments can be implemented. The computer program can include computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0146] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present disclosure, and should all be included within the protection scope of the present disclosure.

Claims

1. A method for optimizing and adjusting the positions of soil environmental monitoring points, characterized in that, Including: Obtain the latest agricultural land soil monitoring data, where the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of the detailed survey agricultural land; the soil parent material background value refers to the background value of soil salinity, that is, the salt content of the naturally formed soil without human interference; the detailed survey agricultural land is the national agricultural land. According to the agricultural land soil monitoring data, screen out the first pollution category agricultural land and the second pollution category agricultural land therein, where the first pollution category agricultural land and the second pollution category agricultural land are different. Test the pollutant content at multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screen out the first monitoring points according to the first test result. Test the pollutant content at multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screen out the second monitoring points according to the second test result. Compare the scattered positions and quantities between the first monitoring points and the second monitoring points and the points in the soil environment monitoring network to obtain a comparison result. According to the comparison result, add or delete the original monitoring points that are still polluted in the currently used soil environment monitoring network, and remove the original monitoring points where no pollution is found in the soil environment monitoring network to obtain an updated soil environment monitoring network.

2. The method according to claim 1, wherein The screening out of the first pollution category agricultural land and the second pollution category agricultural land according to the agricultural land soil monitoring data includes: Determine the soil pollution accumulation degree of the detailed survey agricultural land according to the soil parent material background value and the soil pollution degree. Divide the detailed survey agricultural land according to the soil pollution accumulation degree and soil pollution influencing factors to obtain the first pollution category agricultural land and the second pollution category agricultural land.

3. The method according to claim 1, wherein The testing of the pollutant content at multiple measurement points in the first pollution category agricultural land to obtain a first test result and screening out the first monitoring points according to the first test result includes: Test the pollutant content at multiple measurement points in the first pollution category agricultural land to obtain a measurement result corresponding to each measurement point. Cluster the measurement points according to the point measurement results to obtain a first clustering result, where the first clustering result includes first-class agricultural land plots and second-class agricultural land plots. Screen out the first plots to be evaluated that meet the preset agricultural land area from the first-class agricultural land plots and the second-class agricultural land plots, where the first plots to be evaluated contain multiple points to be evaluated. Screen out the first monitoring points from the multiple points to be evaluated according to the preset point screening rules.

4. The method according to claim 3, characterized in that, The screening out of the first monitoring points from the multiple points to be evaluated according to the preset point screening rules includes: Sort the multiple points to be evaluated according to the preset sorting rules to obtain a first sorting result. Screen out the first monitoring points from the multiple points to be evaluated according to the first sorting result and the number of points to be evaluated.

5. The method according to claim 4, characterized in that The screening out of the first monitoring points from the multiple points to be evaluated according to the first sorting result and the number of points to be evaluated includes: If the number of the points to be evaluated meets a preset first range value, all the points to be evaluated in the first plot to be evaluated are determined as first monitoring points; If the number of the points to be evaluated meets a preset second range value, first monitoring points are screened out from the multiple points to be evaluated according to the first sorting result, and the number of the first monitoring points is the lower limit value of the second range value; If the number of the points to be evaluated meets a preset third range value, points not exceeding 10% of the total number are screened out from the multiple points to be evaluated according to the first sorting result as first monitoring points; If the number of the points to be evaluated meets a preset fourth range value, no more than 20 points are screened out from the multiple points to be evaluated according to the first sorting result as first monitoring points.

6. The method according to claim 1, characterized in that, The method for testing the pollutant content of multiple measurement points in the agricultural land of the second pollution category to obtain a second test result and screening out second monitoring points according to the second test result includes: Screening out key industries related to soil from the industrial enterprises involved in the agricultural land of the second pollution category; Testing the pollutant content of multiple test points in the agricultural land corresponding to the key industries related to soil to obtain a test result corresponding to each test point; Clustering the test points according to the test results to obtain a second clustering result, and the second clustering result includes Class A agricultural land plots and Class B agricultural land plots; Screening out second plots to be evaluated that meet the preset agricultural land area from the Class A agricultural land plots and Class B agricultural land plots, and the second plots to be evaluated contain multiple candidate points; Screening out second monitoring points from the multiple candidate points according to a preset point screening rule.

7. The method according to claim 1, characterized in that, The method further includes: Counting the number of soil detailed investigation points in each basic point grid in the updated soil environment monitoring network, and the number of soil detailed investigation points is the total number of the first monitoring points and the second monitoring points; When the number of soil detailed investigation points in the basic point grid is greater than zero, determining whether there is a soil environmental quality dominant category in the basic point grid according to the basic points and soil detailed investigation points in the basic point grid; If there is, adjusting the basic points in the basic point grid according to the soil environmental quality dominant category to obtain an adjusted soil environment monitoring network.

8. The method according to claim 7, wherein After adjusting the basic points in the basic point grid according to the soil environmental quality dominant category to obtain an adjusted soil environment monitoring network, it further includes: Conducting a comprehensive inventory of the basic points and background points of the adjusted soil environment monitoring network to obtain an inventory result; If it is determined according to the inventory result that the adjusted soil environment monitoring network does not cover all counties, adding corresponding monitoring points to the adjusted soil environment monitoring network according to a preset point layout rule.

9. A soil environmental monitoring network site optimization and adjustment system, characterized in that, Including: A data acquisition module, configured to acquire the latest agricultural land soil monitoring data, where the agricultural land soil monitoring data includes the soil parent material background value, soil pollution influencing factors, and soil pollution degree of detailed survey agricultural land; the soil parent material background value refers to the background value of soil salinity, that is, the salt content of the naturally formed soil without human interference; the detailed survey agricultural land is the national agricultural land; A selection module, configured to screen out the first pollution category agricultural land and the second pollution category agricultural land from the agricultural land soil monitoring data, where the first pollution category agricultural land and the second pollution category agricultural land are different; A first screening module, configured to test the pollutant content of multiple measurement points in the first pollution category agricultural land to obtain a first test result, and screen out the first monitoring points according to the first test result; A second screening module, configured to test the pollutant content of multiple measurement points in the second pollution category agricultural land to obtain a second test result, and screen out the second monitoring points according to the second test result; An adjustment module, configured to compare the scattered positions and quantities between the first monitoring points and the second monitoring points and the points in the soil environment monitoring network to obtain a comparison result; according to the comparison result, add or delete the original monitoring points that are still polluted in the currently used soil environment monitoring network, and eliminate the original monitoring points where no pollution is found in the soil environment monitoring network to obtain an updated soil environment monitoring network.

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