A method for identifying key areas of rural black and odorous water bodies coupled with spatial information technology

Abstract

The embodiment of the present application relates to the technical field of environmental monitoring, and discloses a rural black and odorous water body key area identification method coupled with spatial information technology, which comprises the following steps: extracting land class code information of a target buffer area, land class name information of the target buffer area and town and village attribute code information of the target buffer area from a land class map spot layer; fusing three-investigation water body data information, the land class code information, the land class name information and the town and village attribute code information to obtain fusion data; and superimposing and analyzing the fusion data and the target buffer area to determine water area information. The embodiment of the present application can efficiently, scientifically, quickly and accurately identify a rural black and odorous water body key investigation area.

Description

Technical Field

[0001] This invention relates to the field of environmental monitoring technology, and in particular to a method for identifying key areas of black and odorous water bodies in rural areas by coupling spatial information technology. Background Technology

[0002] To comprehensively understand the current status of black and odorous water bodies in rural areas across the province, dynamic monitoring of polluted water bodies is crucial. In practice, it has been found that traditional methods of investigating polluted water bodies mainly rely on manual on-site surveys. However, unlike the concentrated and contiguous nature of urban polluted water bodies, rural black and odorous water bodies are more dispersed, making traditional survey methods time-consuming and labor-intensive. Furthermore, current research on polluted water body identification primarily focuses on identification through water body images and spectral characteristics. However, the accuracy of these identifications is significantly affected by image quality and local environmental factors, resulting in poor universality and hindering the comprehensive implementation of rural black and odorous water body identification and monitoring. While research has explored methods combining public review and water quality testing to improve identification accuracy, these methods offer no significant advantages in terms of economy and efficiency. Summary of the Invention

[0003] This invention discloses a method for identifying key areas of black and odorous water bodies in rural areas by coupling spatial information technology, which can achieve efficient, scientific, rapid and accurate identification of key areas of black and odorous water bodies in rural areas.

[0004] The first aspect of this invention discloses a method for identifying key areas of black and odorous water bodies in rural areas using spatial information technology, the method comprising:

[0005] From the land parcel layer, extract the land parcel code information, land parcel name information, and town / village attribute code information of the target buffer area;

[0006] The third national water body survey data, the land category coding information, the land category name information, and the town and village attribute code information are fused together to obtain fused data;

[0007] The fused data is overlaid and analyzed with the target buffer area to determine the water area information.

[0008] As another optional implementation, in the first aspect of the present invention, after performing overlay analysis on the fused data and the target buffer area to determine the water area information, the method further includes:

[0009] Based on the water body code data, remove river water areas from the water area information to obtain filtered water area information;

[0010] After processing the filtered water area information, and combining it with remote sensing monitoring image maps, water areas whose influence from villages is less than a specified threshold are deleted from the filtered water area information to obtain water body patch information.

[0011] As another optional implementation, in the first aspect of the present invention, after deleting water bodies affected by villages less than a specified threshold from the filtered water body information by combining remote sensing monitoring image maps to obtain water body patch information, the method further includes:

[0012] From the water body patch information, obtain water body patches of untreated water areas and water body patches of sewage outlet areas;

[0013] The water body patches of the untreated water area and the water body patches of the sewage outlet water area are merged and deduplicated to obtain the results of the affected water body patches;

[0014] By combining the administrative village boundaries, the affected villages related to the map results of the affected water bodies were identified.

[0015] As another optional implementation, in the first aspect of the present invention, after determining the affected villages related to the results of the affected water body map by combining administrative village-level boundaries, the method further includes:

[0016] Based on the number of permanent residents and location information of the affected villages, the population size level of the affected villages is determined;

[0017] The population size level is assigned to the attribute table of the water body patch layer corresponding to the affected village to determine the distribution of water body patches affected by the size of the resident population.

[0018] As another optional implementation, in the first aspect of the present invention, before extracting the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use patch layer, the method further includes:

[0019] Based on the geographical location of the village cluster area, a buffer zone extending outward from the village cluster area is determined to obtain the target buffer zone.

[0020] As another optional implementation, in the first aspect of the present invention, after determining the buffer range extending outward from the village cluster area based on the geographical location of the village cluster area to obtain the target buffer area, and before extracting the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use map layer, the method further includes:

[0021] After acquiring the remote sensing image map, the towns and villages in the remote sensing image map whose area is less than a first specified threshold are deleted to obtain the first filtered image map.

[0022] The isolated, remote, small-area towns and villages with sparse housing in the first filtered image map are deleted to obtain the second filtered image map.

[0023] From the second filtered image map, select the town and village areas whose area is greater than the second specified threshold as the village cluster area.

[0024] A second aspect of this invention discloses an identification system, the identification system comprising:

[0025] The extraction unit is used to extract the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use patch layer.

[0026] The fusion unit is used to fuse the third national water body survey data, the land category coding information, the land category name information, and the town and village attribute code information to obtain fused data;

[0027] The overlay analysis unit is used to overlay the fused data with the target buffer area to determine the water area information.

[0028] As another optional implementation, in a second aspect of the present invention, the identification system further includes:

[0029] The first deletion unit is used to delete river water areas from the water area information based on water body code data after the overlay analysis unit performs overlay analysis on the fused data and the target buffer area to determine the water area information, so as to obtain filtered water area information.

[0030] The second deletion unit is used to delete water bodies that are less than a specified threshold in the filtered water body information after the water body information has been processed by the map and combined with the remote sensing monitoring image map, so as to obtain water body patch information.

[0031] As another optional implementation, in a second aspect of the present invention, the identification system further includes:

[0032] The acquisition unit is used to delete water bodies in the filtered water body information that are less than a specified threshold affected by villages in the second deletion unit in combination with the remote sensing monitoring image map, so as to obtain water body patch information and then obtain untreated water body patches and sewage outlet water body patches from the water body patch information.

[0033] The processing unit is used to merge and deduplicate the water body patches of the untreated water area and the water body patches of the sewage outlet water area to obtain the results of the affected water body patches.

[0034] The first determining unit is used to identify the affected villages related to the results of the affected water body map by combining the administrative village-level boundaries.

[0035] A third aspect of this invention discloses an identification system, the identification system comprising:

[0036] Memory containing executable program code;

[0037] A processor coupled to the memory;

[0038] The processor calls the executable program code stored in the memory to execute a method for identifying key areas of black and odorous water bodies in rural areas that couples spatial information technology, as disclosed in the first aspect of the present invention.

[0039] The fourth aspect of this invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute a method for identifying key areas of black and odorous water bodies in rural areas that couples spatial information technology, as disclosed in the first aspect of this invention.

[0040] The fifth aspect of this invention discloses a computer program product that, when run on a computer, causes the computer to execute some or all of the steps of any of the methods for identifying key areas of black and odorous water bodies in rural areas using spatial information technology as described in the first aspect.

[0041] The sixth aspect of this invention discloses an application publishing platform for publishing computer program products, wherein when the computer program products are run on a computer, the computer executes some or all of the steps of any of the methods for identifying key areas of black and odorous water bodies in rural areas coupled with spatial information technology in the first aspect.

[0042] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0043] In this embodiment of the invention, the identification system can extract the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use map layer. It then fuses the third national land survey water body data, the land use code information, the land use name information, and the town / village attribute code information to obtain fused data. Finally, the identification system can overlay and analyze the fused data with the target buffer area to determine the water body information. Therefore, this embodiment of the invention can achieve efficient, scientific, rapid, and accurate identification of key areas for investigating black and odorous water bodies in rural areas. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart illustrating a method for identifying key areas of black and odorous water bodies in rural areas using spatial information technology, as disclosed in an embodiment of the present invention.

[0046] Figure 2 This is a flowchart illustrating another method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology, as disclosed in an embodiment of the present invention.

[0047] Figure 3 This is a schematic diagram of the structure of an identification system disclosed in an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram of another identification system disclosed in an embodiment of the present invention;

[0049] Figure 5 This is a schematic diagram of another identification system disclosed in an embodiment of the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] It should be noted that the terms "first," "second," "third," "fourth," etc., used in the specification and claims of this invention are used to distinguish different objects, not to describe a specific order. The terms "comprising" and "having," and any variations thereof, in the embodiments of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products, or devices.

[0052] This invention discloses a method for identifying key areas of black and odorous water bodies in rural areas by coupling spatial information technology, which can achieve efficient, scientific, rapid and accurate identification of key areas of black and odorous water bodies in rural areas.

[0053] The following is a detailed description in conjunction with the accompanying drawings.

[0054] Example 1

[0055] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for identifying key areas of black and odorous water bodies in rural areas using spatial information technology, as disclosed in an embodiment of the present invention. Figure 1 As shown, the method for identifying key areas of black and odorous water bodies in rural areas using this coupled spatial information technology may include the following steps.

[0056] 101. The identification system extracts the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use patch layer.

[0057] 102. The identification system integrates the water body data from the Third National Land Survey, land category coding information, land category name information, and town / village attribute code information to obtain integrated data.

[0058] 103. The identification system will overlay and analyze the fused data with the target buffer area to determine the water area information.

[0059] As an optional implementation method, in this embodiment of the invention, the data with DLBM (land use code) starting with 11 in the DLTB (land use map patch) layer can be extracted, which represents all water body data. However, because the third national land survey data may be divided into multiple water bodies based on different ownership attributes (QSXZ), ownership unit names (QSDWMC), etc., the extracted third national land survey water body data needs to be fused according to DLBM (land use code), land use name (DLMC), and town / village attribute code (CZCSXM). Then, the fused data is overlaid with the filtered and buffered villages for analysis to select rural water bodies.

[0060] As an optional implementation, in this embodiment of the invention, before performing step 101, the application may first acquire and filter basic data and determine the village cluster area.

[0061] As an optional implementation, in this embodiment of the invention, the application may use the 2019 quarterly remote sensing monitoring image of land and mineral resources in Guangdong Province as the map data of this application. The data format is img, the current time is 2019, the coordinate system is the National Geodetic Coordinate System 2000, and the ground resolution is 1 meter, as a reference base map.

[0062] As an optional implementation, in this embodiment of the invention, the application may use data from the National Third Land Survey "Second Phase" results database as the village and water system data for this application. The data format is gdb, the coordinate system is the National 2000 Geodetic Coordinate System, and the current status is 2019. This data is used to extract the rural agglomeration area and water body data. Specifically, in the CZCDYD (urban and village land use) layer, the village (203) and village independent industrial land (203A) areas represent rural areas; in the DLTB (land use patch) layer, data with DLBM (land use code) starting with 11 represents water body data.

[0063] As an optional implementation, in this embodiment of the invention, village-level ownership surface data can be used as the administrative division data of this application. The data format is shp, and the coordinate system is the National Geodetic Coordinate System 2000, which is used to filter the scope of rural agglomeration areas.

[0064] The purpose of this invention is to develop a novel technical method for identifying key areas of black and odorous water bodies in rural areas using spatial information analysis technology. This method effectively reduces manpower and material costs and achieves efficient, scientific, rapid, and accurate identification of these areas. Addressing the shortcomings of current methods for identifying black and odorous water bodies in rural areas mentioned in the background, this method offers the following advantages:

[0065] (1) Fully integrate and utilize existing data such as the Third National Land Survey, rural domestic sewage treatment, sewage outlets into rivers, and population size to reduce duplication of work and achieve better economic benefits.

[0066] (2) Coupled spatial information analysis technology is used to analyze the spatial relationship between villages with untreated domestic sewage, sewage outlets into rivers and water bodies. The identification of key investigation areas is scientific and accurate.

[0067] (3) The technology of each step of the present invention is mature and the process is simple. It does not require remote sensing interpretation, thus avoiding human and technical problems caused by differences in personnel skills and image quality. It reduces the difficulty of the work and greatly reduces the workload, making it easy to promote and apply.

[0068] exist Figure 1 In the method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology, the identification system is described as the implementing entity. It should be noted that... Figure 1 The implementing entity of the method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology can also be an independent device associated with the identification system, which is not limited in the embodiments of the present invention.

[0069] It is evident that implementation Figure 1 The described method for identifying key areas of black and odorous water bodies in rural areas using spatial information technology can achieve efficient, scientific, rapid, and accurate identification of key areas for investigation of black and odorous water bodies in rural areas.

[0070] In addition, implementation Figure 1 The described method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology can quickly identify rural water information, thereby reducing repetitive work.

[0071] Example 2

[0072] Please see Figure 2 , Figure 2 This is a flowchart illustrating another method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology, as disclosed in an embodiment of the present invention. Figure 2 The method for identifying key areas of black and odorous water bodies in rural areas using this coupled spatial information technology may include the following steps:

[0073] 201. After acquiring the remote sensing monitoring image map, the identification system deletes the town and village areas in the remote sensing monitoring image map whose area is less than a first specified threshold, so as to obtain the first filtered image map.

[0074] 202. The recognition system deletes isolated, remote, small-area towns and villages with sparse houses from the first-filtered image map to obtain the second-filtered image map.

[0075] 203. The identification system selects urban and village areas whose area is greater than the second specified threshold from the second filtered image map as village cluster areas.

[0076] As an optional implementation method, in this embodiment of the invention, since not all areas of villages (203) and independent industrial land in villages (203A) belong to the rural agglomeration area, it is necessary to filter these areas, deleting those with an area of ​​less than 2000㎡ ("CZCMJ"<2000), overlaying rural cadastral survey data and village-level ownership areas, and then deleting isolated, remote, small-area villages with sparse houses (non-village agglomeration areas) from the map. Since each administrative village has multiple village areas, only the filtered urban village areas with an area greater than or equal to 10000㎡ ("CZCMJ"≥10000) are buffered, while other areas are not buffered.

[0077] 204. The identification system determines the buffer zone extending outward from the village cluster area based on the geographical location of the village cluster area, so as to obtain the target buffer zone.

[0078] In this embodiment of the invention, the scope of identification can be appropriately extended outward from the main gathering area of ​​villagers within the administrative village, in accordance with the requirements of the "Guidelines for the Treatment of Black and Odorous Water Bodies in Rural Areas (Trial)" issued by the Ministry of Ecology and Environment. For example, if the geographical location of the village gathering area is in the south, the scope can be extended outward by 200m-500m; if the geographical location of the village gathering area is in the north, the scope can be extended outward by 500m-1000m.

[0079] As an optional implementation method, in this embodiment of the invention, the application can buffer the selected village (203) range (south) by 200m, 300m, 400m, and 500m respectively, and (north) by 500m, 600m, 700m, 800m, 900m, and 1000m respectively, and determine the buffer distance by comprehensively analyzing the data.

[0080] 205. The identification system extracts the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use patch layer.

[0081] 206. The identification system integrates the water body data from the Third National Land Survey, land category coding information, land category name information, and town / village attribute code information to obtain integrated data.

[0082] 207. The identification system will overlay and analyze the fused data with the target buffer area to determine the water area information.

[0083] 208. The identification system removes river water areas from the water area information based on the water body code data to obtain filtered water area information.

[0084] As an optional implementation method, in this embodiment of the invention, the data with DLBM (land use code) starting with 11 in the DLTB (land use map patch) layer can be extracted, which represents all water body data. Because the third national land survey data may be divided into multiple water bodies based on different ownership attributes (QSXZ), ownership unit names (QSDWMC), etc., the extracted third national land survey water body data needs to be fused according to DLBM (land use code), land use name (DLMC), and town / village attribute code (CZCSXM). Then, the fused data is overlaid with the filtered and buffered villages for analysis to select rural water bodies.

[0085] As an optional implementation method, in this embodiment of the invention, since rural black and odorous water bodies are usually mainly ponds and ditches, and less often rivers of a slightly larger scale (generally likely urban black and odorous water bodies), this application can filter out rivers based on water body codes, then uniformly process the maps, and combine them with images to remove large rivers that are less affected by rural areas. The final result is a water body map.

[0086] 209. After processing the filtered water area information, the identification system combines the remote sensing monitoring image map to delete water areas whose influence from villages is less than a specified threshold, in order to obtain water body patch information.

[0087] 210. The identification system obtains water body patches of untreated water areas and water body patches of sewage outlet areas from the water body patch information.

[0088] As an optional implementation method, in this embodiment of the invention, the application can obtain rural domestic sewage treatment data in .xlsx format, the main contents of which may include city, county / town, administrative village, natural village, longitude, latitude, and the number of natural villages that have completed treatment. This data can be used to determine whether sewage treatment has been completed, where a value of "1" for "number of natural villages that have completed treatment" indicates "treated," and a value of "0" indicates "not treated." The data is then displayed based on the longitude and latitude of the rural domestic sewage treatment data.

[0089] As an optional implementation, in this embodiment of the invention, this application can obtain a list of sewage outlets discharging into rivers in .xlsx format. This list mainly includes the name of the sewage outlet, whether it is a sewage outlet, the city, district / county, township (street), administrative village, detailed address, and geographical location information. This application can display points based on the geographical location information in the list of sewage outlets discharging into rivers to assist in identifying key areas for investigating black and odorous water bodies.

[0090] As an optional implementation, in this embodiment of the invention, the water body map information includes untreated water body maps and sewage outlet water body maps. This application can filter out water bodies affected (within the buffer range) by untreated points in the "Rural Domestic Sewage Treatment Data" ("Number of Completed Natural Villages" value is "0") and water bodies affected (within the buffer range) by points in the "List of Sewage Outlets into Rivers".

[0091] 211. The identification system merges and deduplicates water body patches of untreated water areas and water body patches of sewage outlets to obtain the results of affected water body patches.

[0092] As an optional implementation method, in this embodiment of the invention, the water body results extracted from the two factors can be merged and deduplicated to form the final affected water body patch results. Combined with administrative village boundaries, villages significantly affected by the above two factors can be clearly identified, further narrowing the scope of the field survey.

[0093] 212. The identification system, in conjunction with administrative village boundaries, identifies the affected villages related to the map results of the affected water bodies.

[0094] 213. The identification system determines the population size level of the affected villages based on the number of permanent residents and location information of the affected villages.

[0095] 214. The identification system assigns the population size level to the attribute table of the water body patch layer corresponding to the affected village to determine the distribution of water body patches affected by the size of the resident population, and then ends the process.

[0096] As an optional implementation method, in this embodiment of the invention, the permanent population size of villages with untreated rural domestic sewage can be divided into four levels (0-50, 50-150, 150-300, 300 and above). The larger the population size, the more sewage there is, and the higher the potential for forming black and odorous water bodies.

[0097] As an optional implementation method, in this embodiment of the invention, the application can display the latitude and longitude coordinates of each village based on the number of permanent residents and location information of villages where rural domestic sewage has not been treated. The population size level (level 1, level 2, level 3, level 4) is assigned to the corresponding water body patch layer attribute table according to the principle of proximity, so as to obtain the distribution of water body patches affected by the size of permanent residents.

[0098] This invention is a novel technical method for identifying key areas for investigation of black and odorous water bodies in rural areas using spatial information analysis technology. Its advantages are:

[0099] (1) It fully integrates and utilizes existing data such as the Third National Land Survey, rural domestic sewage treatment, sewage outlets into rivers, and population size, reducing the duplication of data collection and processing work and achieving good economic efficiency.

[0100] (2) Coupled spatial information analysis technology is used to analyze the spatial relationship between villages with untreated domestic sewage, sewage outlets into rivers and water bodies. The identification of key investigation areas is scientific and accurate.

[0101] (3) The technology of each step of the present invention is mature and the process is simple. It does not require remote sensing interpretation, thus avoiding human and technical problems caused by differences in personnel skills and image quality. It reduces the difficulty of the work and greatly reduces the workload, making it easy to promote and apply.

[0102] As an optional implementation method, in this embodiment of the invention, this application can utilize spatial analysis tools, combined with remote sensing images, third national land survey data, sewage-related data, population data, etc., to study a technical method and process for identifying key areas for investigation of black and odorous water bodies in rural areas. This method can extract large-scale investigation areas without the need for on-site visits and surveys, providing basic data for the monitoring and treatment of black and odorous water bodies in rural areas.

[0103] It is evident that implementation Figure 2 The invention describes another method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology. This method, according to the embodiments of the invention, can achieve efficient, scientific, rapid, and accurate identification of key areas for investigation of black and odorous water bodies in rural areas.

[0104] In addition, implementation Figure 2 The described alternative method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology has the advantages of strong scientific basis, high accuracy, reduced duplication of data collection and processing work, and good economic efficiency in identifying key areas.

[0105] Example 3

[0106] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an identification system disclosed in an embodiment of the present invention. Figure 3 The identification system 300 may include an extraction unit 301, a fusion unit 302, and an overlay analysis unit 303, wherein:

[0107] Extraction unit 301 is used to extract land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use map patch layer.

[0108] The fusion unit 302 is used to fuse the third national water body survey data, land category coding information, land category name information, and town and village attribute code information to obtain fused data.

[0109] The overlay analysis unit 303 is used to overlay the fused data with the target buffer area to determine the water area information.

[0110] As an optional implementation, in this embodiment of the invention, the extraction unit 301 can extract data from the DLTB (land parcel) layer whose DLBM (land parcel code) starts with 11, which represents all water body data. However, because the third national land survey data may be divided into multiple water bodies based on different ownership attributes (QSXZ), ownership unit names (QSDWMC), etc., the same water body may be divided into multiple water bodies. Therefore, the fusion unit 302 needs to fuse the extracted third national land survey water body data according to DLBM (land parcel code), land parcel name (DLMC), and town / village attribute code (CZCSXM). The overlay analysis unit 303 then overlays the fused data with the filtered and buffered villages to select rural water bodies.

[0111] As an optional implementation, in this embodiment of the invention, the extraction unit 301 may first acquire and filter basic data and determine the village cluster area before performing the operation.

[0112] As an optional implementation, in this embodiment of the invention, the application may use the 2019 quarterly remote sensing monitoring image of land and mineral resources in Guangdong Province as the map data of this application. The data format is img, the current time is 2019, the coordinate system is the National Geodetic Coordinate System 2000, and the ground resolution is 1 meter, as a reference base map.

[0113] As an optional implementation, in this embodiment of the invention, the application may use data from the National Third Land Survey "Second Phase" results database as the village and water system data for this application. The data format is gdb, the coordinate system is the National 2000 Geodetic Coordinate System, and the current status is 2019. This data is used to extract the rural agglomeration area and water body data. Specifically, in the CZCDYD (urban and village land use) layer, the village (203) and village independent industrial land (203A) areas represent rural areas; in the DLTB (land use patch) layer, data with DLBM (land use code) starting with 11 represents water body data.

[0114] As an optional implementation, in this embodiment of the invention, village-level ownership surface data can be used as the administrative division data of this application. The data format is shp, and the coordinate system is the National Geodetic Coordinate System 2000, which is used to filter the scope of rural agglomeration areas.

[0115] The purpose of this invention is to develop a novel technical method for identifying key areas of black and odorous water bodies in rural areas using spatial information analysis technology. This method effectively reduces manpower and material costs and achieves efficient, scientific, rapid, and accurate identification of these areas. Addressing the shortcomings of current methods for identifying black and odorous water bodies in rural areas mentioned in the background, this method offers the following advantages:

[0116] (1) Fully integrate and utilize existing data such as the Third National Land Survey, rural domestic sewage treatment, sewage outlets into rivers, and population size to reduce duplication of work and achieve better economic benefits.

[0117] (2) Coupled spatial information analysis technology is used to analyze the spatial relationship between villages with untreated domestic sewage, sewage outlets into rivers and water bodies. The identification of key investigation areas is scientific and accurate.

[0118] (3) The technology of each step of the present invention is mature and the process is simple. It does not require remote sensing interpretation, thus avoiding human and technical problems caused by differences in personnel skills and image quality. It reduces the difficulty of the work and greatly reduces the workload, making it easy to promote and apply.

[0119] It is evident that implementation Figure 3 The described identification system can achieve efficient, scientific, rapid and accurate identification of key areas for investigation of black and odorous water bodies in rural areas.

[0120] In addition, implementation Figure 3 The described identification system can quickly identify information about rural waterways, thereby reducing repetitive work.

[0121] Example 4

[0122] Please see Figure 4 , Figure 4 This is a schematic diagram of another identification system disclosed in an embodiment of the present invention. Figure 4 The identification system is composed of Figure 3 This was obtained by optimizing the recognition system. (Compared to...) Figure 3 Compared to other recognition systems, Figure 4 The identification system also includes:

[0123] The first deletion unit 304 is used to perform overlay analysis between the fused data and the target buffer area in the overlay analysis unit 303 to determine the water area information, and then delete the river water area in the water area information according to the water body code data to obtain the filtered water area information.

[0124] The second deletion unit 305 is used to delete water bodies in the filtered water body information that are less than a specified threshold affected by villages, after the water body information has been processed by the map and combined with the remote sensing monitoring image map, so as to obtain water body patch information.

[0125] As an optional implementation, in this embodiment of the invention, the extraction unit 301 can extract data from the DLTB (land parcel) layer whose DLBM (land parcel code) starts with 11, which represents all water body data. However, because the third national land survey data may be divided into multiple water bodies based on different ownership attributes (QSXZ), ownership unit names (QSDWMC), etc., the same water body may be divided into multiple water bodies. Therefore, the fusion unit 302 needs to fuse the extracted third national land survey water body data according to DLBM (land parcel code), land parcel name (DLMC), and town / village attribute code (CZCSXM). The overlay analysis unit 303 then overlays the fused data with the filtered and buffered villages to select rural water bodies.

[0126] As an optional implementation method, in this embodiment of the invention, since rural black and odorous water bodies are usually mainly ponds and ditches, and less often rivers of a slightly larger scale (generally likely urban black and odorous water bodies), the first deletion unit 304 can filter out rivers based on water body codes, and the second deletion unit 305 then unifies the image and, in conjunction with the image, removes large rivers that are less affected by rural areas. This ultimately forms water body patches.

[0127] and Figure 3 Compared to other recognition systems, Figure 4 The identification system also includes:

[0128] The acquisition unit 306 is used to delete water bodies in the filtered water body information that are less than a specified threshold affected by villages, in conjunction with the remote sensing monitoring image map in the second deletion unit 305, so as to obtain water body patch information and then obtain water body patches of untreated water bodies and sewage outlet water bodies from the water body patch information.

[0129] Processing unit 307 is used to merge and deduplicate water body patches of untreated water areas and water body patches of sewage outlets to obtain the results of affected water body patches.

[0130] As an optional implementation, in this embodiment of the invention, the processing unit 307 can merge and deduplicate the water body results extracted from the two factors, integrating them into the final affected water body patch results. The first determining unit 308, combined with administrative village boundaries, can clearly identify villages significantly affected by the above two factors, further narrowing the scope of the field survey.

[0131] The first determining unit 308 is used to identify the affected villages related to the results of the affected water body map by combining the administrative village-level boundaries.

[0132] As an optional implementation, in this embodiment of the invention, the acquisition unit 306 can acquire rural domestic sewage treatment data in xlsx format. Its main content may include city, county / town, administrative village, natural village, longitude, latitude, and the number of natural villages that have completed treatment. This data can be used to determine whether sewage treatment has been completed, where a value of "1" for "number of natural villages that have completed treatment" indicates "treated," and a value of "0" indicates "not treated." The data is then displayed based on the longitude and latitude of the rural domestic sewage treatment data.

[0133] As an optional implementation, in this embodiment of the invention, the acquisition unit 306 can acquire a list of sewage outlets into rivers in .xlsx format, which mainly includes the name of the sewage outlet, whether it is a sewage outlet, city, district / county, township (street), administrative village, detailed address, and geographical location information. This application can display points based on the geographical location information of the list of sewage outlets into rivers to assist in identifying key areas for the investigation of black and odorous water bodies.

[0134] As an optional implementation, in this embodiment of the invention, the water body map information includes untreated water body maps and sewage outlet water body maps. The acquisition unit 306 can filter out water bodies affected (within the buffer range) by untreated points in the "Rural Domestic Sewage Treatment Data" ("Number of Completed Natural Villages" value is "0") and water bodies affected (within the buffer range) by points in the "List of Sewage Outlets into Rivers".

[0135] and Figure 3 Compared to other recognition systems, Figure 4 The identification system also includes:

[0136] The second determining unit 309 is used to determine the population size level of the affected villages based on the number of permanent residents and location information of the affected villages after the first determining unit 308 has determined the affected villages related to the results of the affected water body map based on the administrative village boundaries.

[0137] Assignment unit 310 is used to assign the population size level to the attribute table of the water body patch layer corresponding to the affected village, so as to determine the distribution of water body patches affected by the size of the resident population.

[0138] As an optional implementation method, in this embodiment of the invention, the permanent population size of villages with untreated rural domestic sewage can be divided into four levels (0-50, 50-150, 150-300, 300 and above). The larger the population size, the more sewage there is, and the higher the potential for forming black and odorous water bodies.

[0139] As an optional implementation, in this embodiment of the invention, the second determining unit 309 can plot the latitude and longitude coordinates of each village based on the number of permanent residents and location information of villages where rural domestic sewage has not been treated. The assigning unit 310 can assign the population size level (level 1, level 2, level 3, level 4) to the corresponding water body patch layer attribute table according to the proximity principle, thereby obtaining the distribution of water body patches affected by the size of the permanent residents.

[0140] and Figure 3 Compared to the recognition system, Figure 4 The identification system also includes:

[0141] The third determining unit 311 is used to determine the buffer range extending outward from the village cluster area based on the geographical location of the village cluster area before the extraction unit 301 extracts the land type code information, land type name information and town / village attribute code information of the target buffer area from the land type map patch layer, so as to obtain the target buffer area.

[0142] In this embodiment of the invention, the third determining unit 311 may, in accordance with the requirements of the "Guidelines for the Treatment of Black and Odorous Water Bodies in Rural Areas (Trial)" issued by the Ministry of Ecology and Environment, appropriately extend the identification scope outward from the main gathering area of ​​villagers within the administrative village. For example, if the geographical location of the village gathering area is in the south, it can be extended outward by 200m-500m; if the geographical location of the village gathering area is in the north, it can be extended outward by 500m-1000m.

[0143] As an optional implementation, in this embodiment of the invention, the third determining unit 311 can buffer the selected village (203) range (south) by 200m, 300m, 400m, and 500m respectively, and (north) by 500m, 600m, 700m, 800m, 900m, and 1000m respectively, and determine the buffer distance by comprehensively analyzing the data.

[0144] and Figure 3 Compared to the recognition system, Figure 4 The identification system also includes:

[0145] The third deletion unit 312 is used after the third determining unit 311 determines the buffer range extending outward from the village cluster area according to the geographical location of the village cluster area to obtain the target buffer area, and before the extraction unit 301 extracts the land use code information, land use name information and town / village attribute code information of the target buffer area from the land use patch layer, after obtaining the remote sensing monitoring image map, to delete the town / village areas in the remote sensing monitoring image map whose town / village area is less than the first specified threshold, so as to obtain the first filtered image map.

[0146] As an optional implementation, in this embodiment of the invention, the third deletion unit 312 is further used to delete isolated, remote, small-area, and sparsely populated town and village areas in the first filtered image map to obtain the second filtered image map.

[0147] The fourth determining unit 313 is used to select, from the second filtered image map, the town and village areas with a range greater than the second specified threshold as village cluster areas.

[0148] As an optional implementation, in this embodiment of the invention, since not all areas of villages (203) and independent industrial land in villages (203A) belong to the rural agglomeration area, the third deletion unit 31 needs to filter the area, deleting urban villages with an area less than 2000㎡ ("CZCMJ"<2000), overlaying rural cadastral survey data and village-level ownership areas, and passing the entire map over, deleting independent, remote, small-area villages with few houses (non-village agglomeration areas). Since each administrative village corresponds to multiple village areas, this application can only buffer the filtered urban village areas with an area greater than or equal to 10000㎡ ("CZCMJ"≥10000), and not buffer other areas.

[0149] This invention is a novel technical method for identifying key areas for investigation of black and odorous water bodies in rural areas using spatial information analysis technology. Its advantages are:

[0150] (1) It fully integrates and utilizes existing data such as the Third National Land Survey, rural domestic sewage treatment, sewage outlets into rivers, and population size, reducing the duplication of data collection and processing work and achieving good economic efficiency.

[0151] (2) Coupled spatial information analysis technology is used to analyze the spatial relationship between villages with untreated domestic sewage, sewage outlets into rivers and water bodies. The identification of key investigation areas is scientific and accurate.

[0152] (3) The technology of each step of the present invention is mature and the process is simple. It does not require remote sensing interpretation, thus avoiding human and technical problems caused by differences in personnel skills and image quality. It reduces the difficulty of the work and greatly reduces the workload, making it easy to promote and apply.

[0153] As an optional implementation method, in this embodiment of the invention, this application can utilize spatial analysis tools, combined with remote sensing images, third national land survey data, sewage-related data, population data, etc., to study a technical method and process for identifying key areas for investigation of black and odorous water bodies in rural areas. This method can extract large-scale investigation areas without the need for on-site visits and surveys, providing basic data for the monitoring and treatment of black and odorous water bodies in rural areas.

[0154] It is evident that implementation Figure 4 The other identification system described in this invention can achieve efficient, scientific, rapid and accurate identification of key areas for investigation of black and odorous water bodies in rural areas.

[0155] In addition, implementation Figure 4 The other identification system described has the advantages of being scientifically sound in identifying key investigation areas, having a high accuracy rate, reducing repetitive work in data collection and processing, and being economical.

[0156] Example 5

[0157] Please see Figure 5 , Figure 5 This is a schematic diagram of another identification system disclosed in an embodiment of the present invention.

[0158] like Figure 5 The identification system may include:

[0159] Memory 501 storing executable program code;

[0160] Processor 502 coupled to memory 501;

[0161] Specifically, processor 502 calls the executable program code stored in memory 501 and executes it. Figures 1-2 A method for identifying key areas of black and odorous water bodies in rural areas using any type of coupled spatial information technology.

[0162] This invention discloses a computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute... Figures 1-2 A method for identifying key areas of black and odorous water bodies in rural areas using any type of coupled spatial information technology.

[0163] This invention also discloses a computer program product, wherein when the computer program product is run on a computer, the computer performs some or all of the steps of the methods described in the above method embodiments.

[0164] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0165] The foregoing has provided a detailed description of a method for identifying key areas of black and odorous water bodies in rural areas using coupled spatial information technology, as disclosed in the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for identifying key areas of black and odorous water bodies in rural areas using spatial information technology, characterized in that, include: From the land parcel layer, extract the land parcel code information, land parcel name information, and town / village attribute code information of the target buffer area; The third national water body survey data, the land category coding information, the land category name information, and the town and village attribute code information are fused together to obtain fused data; The fused data is overlaid and analyzed with the target buffer area to determine the water area information; The method further includes, after overlaying the fused data with the target buffer area to determine the water area information, deleting river water areas from the water area information based on water body code data to obtain filtered water area information. After processing the filtered water area information, and combining it with remote sensing monitoring image maps, water areas in the filtered water area information that are less than a specified threshold influencing villages are deleted to obtain water body patch information. In addition, after combining remote sensing monitoring image maps and deleting water bodies in the filtered water body information that are less than a specified threshold affected by villages to obtain water body patch information, the method further includes: obtaining water body patches of untreated water bodies and water body patches of sewage outlet water bodies from the water body patch information. The water body patches of the untreated water area and the water body patches of the sewage outlet water area are merged and deduplicated to obtain the results of the affected water body patches; By combining the administrative village boundaries, the affected villages related to the map results of the affected water bodies were identified.

2. The method according to claim 1, characterized in that, After determining the affected villages related to the affected water body map results by combining administrative village-level boundaries, the method further includes: determining the population size level of the affected villages based on the number of permanent residents and location information of the affected villages; The population size level is assigned to the attribute table of the water body patch layer corresponding to the affected village to determine the distribution of water body patches affected by the size of the resident population.

3. The method according to any one of claims 1 to 2, characterized in that, Before extracting the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use map layer, the method further includes: determining the buffer range extending outward from the village cluster area based on the geographical location of the village cluster area, so as to obtain the target buffer area.

4. The method according to claim 3, characterized in that, After determining the buffer zone extending outward from the village cluster area based on its geographical location to obtain the target buffer zone, and before extracting the land use code information, land use name information, and town / village attribute code information of the target buffer zone from the land use map layer, the method further includes: after obtaining the remote sensing image map, deleting town / village areas in the remote sensing image map whose town / village area is less than a first specified threshold to obtain a first filtered image map; The isolated, remote, small-area towns and villages with sparse housing in the first filtered image map are deleted to obtain the second filtered image map. From the second filtered image map, select the town and village areas whose area is greater than the second specified threshold as the village cluster area.

5. An identification system, characterized in that, The identification system includes: The extraction unit is used to extract the land use code information, land use name information, and town / village attribute code information of the target buffer area from the land use patch layer. The fusion unit is used to fuse the third national water body survey data, the land category coding information, the land category name information, and the town and village attribute code information to obtain fused data; The overlay analysis unit is used to overlay and analyze the fused data with the target buffer area to determine the water area information; The identification system further includes: a first deletion unit, used to delete river water areas from the water area information based on water body code data after the overlay analysis unit performs overlay analysis on the fused data and the target buffer area to determine the water area information, so as to obtain filtered water area information; The second deletion unit is used to delete water bodies that are less than a specified threshold affected by villages from the filtered water body information after the water body information has been processed by the map and combined with the remote sensing monitoring image map, so as to obtain water body patch information. In addition, the identification system also includes: an acquisition unit, used to delete water bodies in the filtered water body information that are less than a specified threshold affected by villages in the second deletion unit in combination with remote sensing monitoring image map, so as to obtain water body patch information, and then obtain untreated water body patches and sewage outlet water body patches from the water body patch information. The processing unit is used to merge and deduplicate the water body patches of the untreated water area and the water body patches of the sewage outlet water area to obtain the results of the affected water body patches. The first determining unit is used to identify the affected villages related to the results of the affected water body map by combining the administrative village-level boundaries.

6. An identification system, characterized in that, The identification system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for identifying key areas of black and odorous water bodies in rural areas that couples spatial information technology as described in any one of claims 1-4.

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