A system and method for evaluating the water resource carrying capacity of water resource overloaded areas

By integrating multi-source information and establishing a quantitative correlation model, sub-regions based on land function attributes are divided, and water supply thresholds are dynamically adjusted. This solves the problems of insufficient spatial coverage and rigid early warning in existing water resource monitoring systems, and enables refined assessment and dynamic early warning of water resource status.

CN122134010APending Publication Date: 2026-06-02HUBEI PROVINCE XIAOGAN CITY HYDROLOGY & WATER RESOURCES SURVEY BUREAU

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUBEI PROVINCE XIAOGAN CITY HYDROLOGY & WATER RESOURCES SURVEY BUREAU
Filing Date
2026-02-28
Publication Date
2026-06-02

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Abstract

This invention discloses a water resource carrying capacity assessment system and method for water resource overload areas, relating to the field of water resource monitoring. It includes a historical regional water supply data acquisition module, a regional total water storage seasonal correlation module, a regional segmented water supply clustering analysis module, a segmented regional real-time water supply demand dynamic early warning module, a regional water resource multi-trend coordination module, and an information service control platform. The aim is to integrate multi-source information to conduct multi-dimensional perception and collection of water resource conditions in the target area, establish a quantitative correlation model between the regional reservoir's total water storage and seasonal variation data, assess the deviation of the current water storage in the target area from the historical seasonal average level, and divide the target area into sub-regions with different land function attributes. It compares the water supply guarantee data and real-time water demand data of sub-regions with the same land function attribute, and provides dynamic early warnings for the comprehensive water supply and demand data of the same land function attribute area.
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Description

Technical Field

[0001] This invention relates to the field of water resources monitoring, specifically to a system and method for evaluating the water resources carrying capacity of water resource overloaded areas. Background Technology

[0002] With rapid economic and social development and the intensifying impact of climate change, regional water shortages and supply-demand imbalances are becoming increasingly prominent. Water resource monitoring systems are gradually shifting from manual observation to automated data collection. By deploying equipment such as water level gauges, flow meters, and water quality sensors, managers can obtain real-time basic data on reservoir storage levels. However, existing monitoring systems mostly rely on a single data source, have insufficient spatial coverage, and are unable to reflect the overall situation of the region. At the same time, they have failed to establish a quantitative correlation model between water storage and seasonal changes, making it difficult to scientifically determine whether the current water storage status is a normal fluctuation or an abnormal deviation, leading to misjudgments of the water resource situation. They also lack fine differentiation of areas with different land function attributes, have rigid water resource supply and demand early warning thresholds for different land function attributes, and lack the ability to dynamically adapt to the reservoir water storage status. Existing water resource early warning systems generally use a fixed threshold method, which cannot dynamically adjust the sensitivity according to the macro water resource storage situation, resulting in a disconnect between early warning results and actual risks. This application aims to integrate multi-source information to conduct multi-dimensional perception and collection of water resource status in a target area, perform smoothing and verification processing on the collected water resource data of the target area, establish a quantitative correlation model between the total water storage of regional reservoirs and seasonal variation data, assess the deviation of the current water storage of the target area from the historical average level for the same season, and determine the water resource status of the area. At the same time, the target area is divided into sub-regions with different land function attributes, and the water supply guarantee data and real-time water demand data of sub-regions with the same land function attribute are compared. Dynamic early warning is provided for the comprehensive water supply and demand data of the same land function attribute, and the scheduling and optimization of water resources within the target area are carried out to promote the sharing and co-governance of water resource information. Summary of the Invention

[0003] The purpose of this invention is to provide a water resource carrying capacity evaluation system and method for water resource overload areas, so as to solve the problems in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: A water resource carrying capacity assessment system for water resource overloaded areas includes a historical regional water supply data acquisition module, a regional total water storage seasonal correlation module, a regional segmented water supply cluster analysis module, a segmented regional real-time water supply demand dynamic early warning module, a regional water resource multi-trend coordination module, and an information service control platform. The historical regional water supply data acquisition module collects the historical water storage of reservoirs in the current region, and combines it with the water system distribution and hydrological data of reservoirs in the current region to statistically analyze the historical water storage change data of reservoirs in the current region. The regional total water storage seasonal correlation module performs multi-interval fluctuation verification and early warning of regional reservoir water storage in advance, establishes a correlation model between the current regional reservoir total water storage and historical seasonal data, analyzes the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assesses the current regional reservoir real-time water storage status. The regional segmented water supply clustering analysis module divides the current region into hierarchical sub-regions based on the water supply network topology and administrative divisions. It assigns a division attribute label to each hierarchical sub-region, collects the water supply of different hierarchical sub-regions, and clusters the water supply of hierarchical sub-regions with the same division attribute. The segmented regional real-time water supply demand dynamic early warning module analyzes the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs and compares the water supply demand of the sub-regions with the corresponding preset water supply thresholds to dynamically trigger supply and demand early warning. The regional water resources multi-trend coordination module acquires comprehensive water supply and demand gap data for each sub-region with the same land function attribute, and performs water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.

[0005] Further configuration: The historical regional water supply data acquisition module includes a regional reservoir basic information map construction submodule and a historical water storage change data multi-source acquisition submodule. The regional reservoir basic information map construction submodule includes an external satellite remote sensing unit and an external hydrological station data unit. The external satellite remote sensing unit connects to external satellite remote sensing data to acquire the location of each reservoir in the current region, and collects upstream and downstream and tributary data of each reservoir. The external hydrological station data unit acquires hydrological station data of each reservoir in real time, and collects the real-time water level and flow of each reservoir. The multi-source data of each reservoir is preprocessed to remove outliers. The real-time water level and flow data of each reservoir are automatically marked with a precise timestamp. Reservoir data under different timestamps are randomly selected and sent to the information service control platform for manual verification. The multi-source data acquisition submodule for historical water storage changes obtains the real-time verified historical water storage of reservoirs, establishes a standardized time series water storage dataset for each reservoir in different years, and, through the information service control platform backend administrator, combines the hydrological characteristics of the reservoir location in the current area to divide the different months of the year into the high water period, the low water period, and the normal water period, and divides and statistically analyzes the water storage of each reservoir in the current area in different historical years according to different time periods; A fixed time window is manually selected and set through the information service control platform backend. The fixed time window is set as follows: In 2019, statistics Data on the water storage capacity of each reservoir in the region during the current year.

[0006] Further configuration: The regional total water storage seasonal correlation module includes a multi-interval verification and analysis submodule for the same-period regional reservoir water storage and a multi-seasonal real-time reservoir water storage deviation analysis submodule. The multi-interval verification and analysis submodule for the same-period regional reservoir water storage acquires the real-time water storage data of each reservoir in the current region, calculates the total water storage of the regional reservoirs on a daily basis, smooths the total water storage data of the current region's reservoirs, and verifies the total water storage of the reservoirs in the current region with similar dates one by one, wherein a certain time interval is set. The total water storage of the reservoir in the current area on each date is Extract the maximum total water storage capacity of the reservoir in the current area within the time interval. The minimum value is Calculate the fluctuation of the total water storage of the reservoir in the current area within a set time interval. , The system determines whether the current reservoir in the designated time interval is in a high-water season, a low-water season, or a normal-water season, and sets a fluctuation threshold for the total water storage of the current reservoir within the high-water season for each interval. The threshold for fluctuation in the total water storage of reservoirs within the dry season period is: The fluctuation threshold of the total water storage of the reservoir in the current area within the normal water period is: Set time interval Fluctuation of the total water storage of reservoirs in the current region Each time interval is compared with the fluctuation threshold of the hydrological characteristic interval of the current reservoir area. If the fluctuation of the total water storage in the current reservoir exceeds the set threshold, an abnormal fluctuation warning will be issued and sent to the information service control platform for manual review.

[0007] Further settings: The multi-seasonal reservoir real-time water storage deviation analysis submodule combines the current region's hydrological characteristics and external meteorological data to determine the standard seasonal time interval and calculate... The historical average daily total water storage of reservoirs in the current region during the same seasonal period within the year is set as the benchmark. The average daily total water storage of reservoirs in the current region during a specific seasonal period within the year is Calculate the time interval within the current season. The historical daily water storage average of the current regional reservoir in 2018 According to the formula: Within its current seasonal time interval The clipped average of the historical daily water storage of the current regional reservoir in a given year is defined as the historical baseline daily water storage of the current regional reservoir within the current seasonal time interval. Collect the real-time daily water storage of reservoirs in the current area, determine the seasonal time interval to which the collected real-time daily water storage belongs, and extract the historical baseline daily water storage for the same period within the seasonal time interval to which the real-time daily water storage belongs. Set the real-time daily water storage of the reservoir in the current area. Calculate the deviation of the current daily water storage of reservoirs in the region from the historical baseline daily water storage. , Specifically, when the deviation is positive, the real-time daily water storage of the reservoir in the current region is marked as high water; when the deviation is negative, the real-time daily water storage of the reservoir in the current region is marked as low water. The deviation of the real-time daily water storage of the reservoir in the current region from the historical baseline daily water storage is calculated according to the formula: Calculate the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval from the historical baseline water storage. Define the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval as... Calculate the trimmed mean of the daily real-time water storage deviation of the reservoir in the current region within a certain seasonal time interval. According to the formula: The system pre-sets wet and dry water thresholds manually through the information service control platform backend. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is negative, it is compared with the set dry water threshold. If it is less than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be dry; if it is greater than the dry water threshold but less than the wet water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is positive, it is compared with the set wet water threshold. If it is greater than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be wet; if it is less than the wet water threshold but greater than the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. The system then summarizes the reservoir water storage status within the current seasonal time interval and sends it to the information service control platform backend for manual review.

[0008] Further configuration: The regional segmented water supply clustering analysis module includes a regional division information coding submodule and a regional historical water supply data collection and database construction submodule. The regional division information coding submodule obtains the geographic boundary data of the current region, pre-divides it according to administrative boundaries, and at the same time uses land function attributes to further divide the land within each administrative boundary into residential areas, industrial areas, agricultural areas, and ecological areas. Each sub-region is assigned a unique identifier code, which includes information on the administrative region to which it belongs, GPS positioning information, area proportion information, land function attribute information, and sequential code. The historical water supply data collection and database construction submodule acquires the historical water supply of each sub-region, collects the historical water supply of the sub-region for each year within a set time period, and simultaneously acquires the sum of the metering data of each smart water meter in each sub-region for each year within the set time period. It compares and verifies the sum of the metering data of each smart water meter in the current sub-region within the same time period with the water supply of the sub-region. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is within a set threshold range, the sum of the metering data of each smart water meter in the current sub-region within the same time period is defined as the water supply data of the current sub-region for that year. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is outside the set threshold range, the water supply data of the current sub-region is sent to a human for verification. Different sub-regions belonging to the same administrative region, with identical land function attribute information, and whose annual water supply data differs within a set threshold are clustered and labeled to construct a hierarchical sub-region historical water supply database.

[0009] Further configuration: The real-time water supply demand dynamic early warning module for different regions includes a sub-module for preset sub-regional water supply thresholds under water storage conditions and a sub-module for comparing and analyzing the real-time water supply demand gap in sub-regions. Under water storage conditions, the sub-module for preset sub-regional water supply thresholds is manually set in advance by the information service control platform backend to set the basic threshold for the current reservoir water supply in different seasonal time intervals. This method obtains the water storage status of reservoirs in the current region under different seasonal time intervals. Based on the current water storage status, it sets adjustment coefficients for the basic threshold of water supply from reservoirs in the current region under different seasonal time intervals. If the water storage status of reservoirs in the current region is in a high-water state under a certain seasonal time interval, the adjustment coefficient for the basic threshold of water supply from reservoirs in the current region under that seasonal time interval is set to... The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: If the water storage status of the reservoir in the current region is normal within a certain seasonal time interval, then the basic threshold for the water supply of the reservoir in the current region within the current seasonal time interval remains at [value missing]. If the water storage status of the reservoir in the current area is low during a certain seasonal time interval, the basic threshold adjustment coefficient for the water supply of the reservoir in the current area during that seasonal time interval is set as follows: The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: ,in, Based on the baseline threshold of the current regional reservoir water supply for each seasonal time interval, the comprehensive baseline threshold of the actual water supply of the current regional reservoir within a year is calculated. .

[0010] Further settings: The sub-module for comparing and analyzing the real-time water supply demand gap in sub-regions obtains the historical water supply of each sub-region in the current region for the previous year, defining it as the demand water supply for each sub-region. It also obtains the land function attributes of each sub-region in the current region, calculates the sum of the demand water supply for sub-regions with the same land function attribute, and calculates the comprehensive demand water supply for sub-regions with the same land function attribute. Simultaneously, it obtains the comprehensive basic threshold for the actual water supply from the reservoir in the current region for the year. Through the information service control platform, it manually sets the water supply guarantee ratio for sub-regions with different land function attributes, calculates the comprehensive guaranteed actual water supply for sub-regions with the same land function attribute, and sets the comprehensive demand water supply for a sub-region with a certain land function attribute as... The actual comprehensive water supply for a sub-region with the same land function attribute within that year was Calculate the water supply and demand gap rate of the sub-region under the same land function attribute. According to the formula: The information service control platform allows for the manual setting of regional water supply and demand gap rate thresholds for different land function attributes. The calculated water supply and demand gap rate of the sub-region under the same land function attribute is compared with the set threshold for the regional water supply and demand gap rate corresponding to the land function attribute. If the threshold is greater than the set threshold, a regional water supply and demand gap warning message for the current land function attribute is sent to the information service control platform for manual review.

[0011] Further configuration: The regional water resources multi-trend coordination module includes a supply and demand status matrix construction submodule and a water resources coordination priority feedback submodule. The supply and demand status matrix construction submodule obtains the water supply and demand gap rate of each sub-region under the same land function attribute, and summarizes it to form a comprehensive water supply and demand gap rate data matrix for each region under the same land function attribute. The water resources coordination priority feedback submodule sorts the comprehensive water supply and demand gap rates of regions under different land function attributes in descending order, sorts the water resources coordination priority of regions under different land function attributes from high to low in descending order, and sends the water resources coordination priority of regions under different land function attributes to the information service control platform for manual processing.

[0012] A method for evaluating the water resource carrying capacity of water resource overload areas: S1: Collect the historical water storage of reservoirs in the current area using the historical water supply data acquisition module, and combine it with the water system distribution and hydrological data of reservoirs in the current area to statistically analyze the historical water storage change data of reservoirs in the current area. S2: Utilize the regional total water storage seasonal correlation module to conduct multi-interval fluctuation verification and early warning of regional reservoir water storage, establish a correlation model between the current regional reservoir total water storage and historical seasonal data, analyze the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assess the current regional reservoir real-time water storage status. S3: Using the regional segmented water supply volume clustering analysis module, the current region is divided into hierarchical sub-regions based on the water supply network topology and administrative divisions. Each hierarchical sub-region is labeled with a division attribute, and the water supply volume of different hierarchical sub-regions is collected. The water supply volume of hierarchical sub-regions with the same division attribute is clustered. S4: Utilize the segmented regional real-time water supply demand dynamic early warning module to perform preset water supply threshold analysis on the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs, compare the water supply demand of the sub-regions with the corresponding preset water supply thresholds, and dynamically trigger supply and demand early warning. S5: Use the regional water resources multi-trend coordination module to obtain the comprehensive water supply and demand gap data of each sub-region with the same land function attribute, and conduct water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.

[0013] Compared with existing technologies, the beneficial effects of this invention are: it aims to integrate multi-source information to conduct multi-dimensional perception and collection of water resource status in the target area, perform smoothing and verification processing on the collected water resource data of the target area, establish a quantitative correlation model between the total water storage of regional reservoirs and seasonal variation data, assess the deviation of the current water storage of the target area from the historical average level of the same season, and realize the determination of the water resource status of the area. At the same time, it divides the target area into sub-regions with different land function attributes, compares the water supply guarantee data and real-time water demand data of sub-regions with the same land function attribute, provides dynamic early warning of the comprehensive water supply and demand data of the same land function attribute, optimizes the scheduling of water resources within the target area, and promotes the sharing and co-governance of water resource information. Attached Figure Description

[0014] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0015] Figure 1 This is a schematic diagram of the module structure of a water resource carrying capacity evaluation system for water resource overload areas according to the present invention; Figure 2 This is a schematic diagram showing the specific module connections of a water resource carrying capacity assessment system for water resource overload areas according to the present invention; Figure 3 This is a flowchart illustrating the steps of a method for evaluating the water resource carrying capacity of an overloaded water resource zone according to the present invention. Detailed Implementation

[0016] 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.

[0017] Please see Figures 1-2 In this embodiment of the invention, a water resource carrying capacity evaluation system for water resource overloaded areas is provided. The system includes a historical regional water supply data acquisition module, a regional total water storage seasonal correlation module, a regional segmented water supply cluster analysis module, a segmented regional real-time water supply demand dynamic early warning module, a regional water resource multi-trend coordination module, and an information service control platform. The historical regional water supply data acquisition module collects the historical water storage of reservoirs in the current region, and combines it with the water system distribution and hydrological data of reservoirs in the current region to statistically analyze the historical water storage change data of reservoirs in the current region. It should be specifically noted that the historical regional water supply data acquisition module includes a regional reservoir basic information map construction submodule and a multi-source acquisition submodule for historical water storage change data. The regional reservoir basic information map construction submodule includes an external satellite remote sensing unit and an external hydrological station data unit. The external satellite remote sensing unit connects to external satellite remote sensing data to acquire the location of each reservoir in the current region and collects upstream and downstream and tributary data for each reservoir. The external hydrological station data unit acquires hydrological station data for each reservoir in real time and collects the real-time water level and flow rate of each reservoir. The multi-source data of each reservoir is preprocessed to remove outliers. The real-time water level and flow rate data of each reservoir are automatically marked with a precise timestamp. Reservoir data under different timestamps are randomly selected and sent to the information service control platform for manual verification. The multi-source data acquisition submodule for historical water storage changes obtains the real-time verified historical water storage of reservoirs, establishes a standardized time series water storage dataset for each reservoir in different years, and, through the information service control platform backend administrator, combines the hydrological characteristics of the reservoir location in the current area to divide the different months of the year into the high water period, the low water period, and the normal water period, and divides and statistically analyzes the water storage of each reservoir in the current area in different historical years according to different time periods; A fixed time window is manually selected and set through the information service control platform backend. The fixed time window is set as follows: In 2019, statistics Data on the water storage capacity of each reservoir in the region during the current year.

[0018] The regional total water storage seasonal correlation module performs multi-interval fluctuation verification and early warning of regional reservoir water storage in advance, establishes a correlation model between the current regional reservoir total water storage and historical seasonal data, analyzes the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assesses the current regional reservoir real-time water storage status. It should be specifically noted that the regional total water storage seasonal correlation module includes a multi-interval verification and analysis submodule for the same-period regional reservoir water storage and a multi-seasonal real-time reservoir water storage deviation analysis submodule. The multi-interval verification and analysis submodule for the same-period regional reservoir water storage obtains the real-time water storage data of each reservoir in the current region, calculates the total water storage of the regional reservoirs on a daily basis, smooths the total water storage data of the current region's reservoirs, and verifies the total water storage of the reservoirs in the current region with similar dates one by one, wherein a certain time interval is set. The total water storage of the reservoir in the current area on each date is Extract the maximum total water storage capacity of the reservoir in the current area within the time interval. The minimum value is Calculate the fluctuation of the total water storage of the reservoir in the current area within a set time interval. , The system determines whether the current reservoir in the designated time interval is in a high-water season, a low-water season, or a normal-water season, and sets a fluctuation threshold for the total water storage of the current reservoir within the high-water season for each interval. The threshold for fluctuation in the total water storage of reservoirs within the dry season period is: The fluctuation threshold of the total water storage of the reservoir in the current area within the normal water period is: Set time interval Fluctuation of the total water storage of reservoirs in the current region Each time interval is compared with the fluctuation threshold of the hydrological characteristic interval of the current reservoir area. If the fluctuation of the total water storage in the current reservoir exceeds the set threshold, an abnormal fluctuation warning will be issued and sent to the information service control platform for manual review.

[0019] Furthermore, the multi-seasonal reservoir real-time water storage deviation analysis submodule combines the current regional hydrological characteristics and external meteorological data to determine the standard seasonal time interval and calculate... The historical average daily total water storage of reservoirs in the current region during the same seasonal period within the year is set as the benchmark. The average daily total water storage of reservoirs in the current region during a specific seasonal period within the year is Calculate the time interval within the current season. The historical daily water storage average of the current regional reservoir in 2018 According to the formula: Within its current seasonal time interval The clipped average of the historical daily water storage of the current regional reservoir in a given year is defined as the historical baseline daily water storage of the current regional reservoir within the current seasonal time interval. Collect the real-time daily water storage of reservoirs in the current area, determine the seasonal time interval to which the collected real-time daily water storage belongs, and extract the historical baseline daily water storage for the same period within the seasonal time interval to which the real-time daily water storage belongs. Set the real-time daily water storage of the reservoir in the current area. Calculate the deviation of the current daily water storage of reservoirs in the region from the historical baseline daily water storage. , Specifically, when the deviation is positive, the real-time daily water storage of the reservoir in the current region is marked as high water; when the deviation is negative, the real-time daily water storage of the reservoir in the current region is marked as low water. The deviation of the real-time daily water storage of the reservoir in the current region from the historical baseline daily water storage is calculated according to the formula: Calculate the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval from the historical baseline water storage. Define the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval as... Calculate the trimmed mean of the daily real-time water storage deviation of the reservoir in the current region within a certain seasonal time interval. According to the formula: The system pre-sets wet and dry water thresholds manually through the information service control platform backend. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is negative, it is compared with the set dry water threshold. If it is less than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be dry; if it is greater than the dry water threshold but less than the wet water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is positive, it is compared with the set wet water threshold. If it is greater than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be wet; if it is less than the wet water threshold but greater than the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. The system then summarizes the reservoir water storage status within the current seasonal time interval and sends it to the information service control platform backend for manual review.

[0020] The regional segmented water supply clustering analysis module divides the current region into hierarchical sub-regions based on the water supply network topology and administrative divisions. It assigns a division attribute label to each hierarchical sub-region, collects the water supply of different hierarchical sub-regions, and clusters the water supply of hierarchical sub-regions with the same division attribute. Further explanation is needed: the regional segmented water supply clustering analysis module includes a regional division information coding submodule and a regional historical water supply data collection and database construction submodule. The regional division information coding submodule obtains the geographic boundary data of the current region, pre-divides it according to administrative boundaries, and at the same time uses land function attributes to further divide the land within each administrative boundary into residential areas, industrial areas, agricultural areas, and ecological areas. Each sub-region is assigned a unique identifier code, which includes information on the administrative region to which it belongs, GPS positioning information, area proportion information, land function attribute information, and sequential code. The historical water supply data collection and database construction submodule acquires the historical water supply of each sub-region, collects the historical water supply of the sub-region for each year within a set time period, and simultaneously acquires the sum of the metering data of each smart water meter in each sub-region for each year within the set time period. It compares and verifies the sum of the metering data of each smart water meter in the current sub-region within the same time period with the water supply of the sub-region. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is within a set threshold range, the sum of the metering data of each smart water meter in the current sub-region within the same time period is defined as the water supply data of the current sub-region for that year. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is outside the set threshold range, the water supply data of the current sub-region is sent to a human for verification. Different sub-regions belonging to the same administrative region, with identical land function attribute information, and whose annual water supply data differs within a set threshold are clustered and labeled to construct a hierarchical sub-region historical water supply database.

[0021] The segmented regional real-time water supply demand dynamic early warning module analyzes the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs and compares the water supply demand of the sub-regions with the corresponding preset water supply thresholds to dynamically trigger supply and demand early warning. It needs to be explained in detail that the regional real-time water supply demand dynamic early warning module includes a sub-module for preset sub-regional water supply thresholds under water storage conditions and a sub-module for comparing and analyzing the real-time water supply demand gap in sub-regions. Under water storage conditions, the sub-module for preset sub-regional water supply thresholds is manually set in advance by the information service control platform backend to set the basic threshold for the current reservoir water supply in different seasonal time intervals. This method obtains the water storage status of reservoirs in the current region under different seasonal time intervals. Based on the current water storage status, it sets adjustment coefficients for the basic threshold of water supply from reservoirs in the current region under different seasonal time intervals. If the water storage status of reservoirs in the current region is in a high-water state under a certain seasonal time interval, the adjustment coefficient for the basic threshold of water supply from reservoirs in the current region under that seasonal time interval is set to... The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: If the water storage status of the reservoir in the current region is normal within a certain seasonal time interval, then the basic threshold for the water supply of the reservoir in the current region within the current seasonal time interval remains at [value missing]. If the water storage status of the reservoir in the current area is low during a certain seasonal time interval, the basic threshold adjustment coefficient for the water supply of the reservoir in the current area during that seasonal time interval is set as follows: The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: ,in, Based on the baseline threshold of the current regional reservoir water supply for each seasonal time interval, the comprehensive baseline threshold of the actual water supply of the current regional reservoir within a year is calculated. .

[0022] Further explanation is needed. The sub-regional real-time water supply demand gap comparison and analysis sub-module obtains the historical water supply of each sub-region under the current region for the previous year, which is defined as the demand water supply of each sub-region. It also obtains the land function attribute of each sub-region under the current region, calculates the sum of the demand water supply of sub-regions with the same land function attribute, and calculates the comprehensive demand water supply of sub-regions with the same land function attribute. At the same time, it obtains the comprehensive basic threshold of the actual water supply of the reservoir in the current region for the current year. Through the information service control platform, the water supply guarantee ratio of sub-regions with different land function attributes is manually set, and the comprehensive guarantee actual water supply of sub-regions with the same land function attribute is calculated. The comprehensive demand water supply of a sub-region with a certain land function attribute is set as... The actual comprehensive water supply for a sub-region with the same land function attribute within that year was Calculate the water supply and demand gap rate of the sub-region under the same land function attribute. According to the formula: The information service control platform allows for the manual setting of regional water supply and demand gap rate thresholds for different land function attributes. The calculated water supply and demand gap rate of the sub-region under the same land function attribute is compared with the set threshold for the regional water supply and demand gap rate corresponding to the land function attribute. If the threshold is greater than the set threshold, a regional water supply and demand gap warning message for the current land function attribute is sent to the information service control platform for manual review.

[0023] The regional water resources multi-trend coordination module acquires comprehensive water supply and demand gap data for each sub-region with the same land function attribute, and performs water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.

[0024] Further explanation is needed: the regional water resources multi-trend coordination module includes a supply and demand status matrix construction submodule and a water resources coordination priority feedback submodule. The supply and demand status matrix construction submodule obtains the water supply and demand gap rate of each sub-region under the same land function attribute, and summarizes it to form a comprehensive water supply and demand gap rate data matrix for each region under the same land function attribute. The water resources coordination priority feedback submodule sorts the comprehensive water supply and demand gap rates of regions under different land function attributes in descending order, sorts the water resources coordination priority of regions under different land function attributes from high to low in descending order, and sends the water resources coordination priority of regions under different land function attributes to the information service control platform for manual processing.

[0025] See Figure 3 Example 2: A method for evaluating the water resource carrying capacity of water resource overloaded areas: S1: Collect the historical water storage of reservoirs in the current area using the historical water supply data acquisition module, and combine it with the water system distribution and hydrological data of reservoirs in the current area to statistically analyze the historical water storage change data of reservoirs in the current area. S2: Utilize the regional total water storage seasonal correlation module to conduct multi-interval fluctuation verification and early warning of regional reservoir water storage, establish a correlation model between the current regional reservoir total water storage and historical seasonal data, analyze the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assess the current regional reservoir real-time water storage status. S3: Using the regional segmented water supply volume clustering analysis module, the current region is divided into hierarchical sub-regions based on the water supply network topology and administrative divisions. Each hierarchical sub-region is labeled with a division attribute, and the water supply volume of different hierarchical sub-regions is collected. The water supply volume of hierarchical sub-regions with the same division attribute is clustered. S4: Utilize the segmented regional real-time water supply demand dynamic early warning module to perform preset water supply threshold analysis on the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs, compare the water supply demand of the sub-regions with the corresponding preset water supply thresholds, and dynamically trigger supply and demand early warning. S5: Use the regional water resources multi-trend coordination module to obtain the comprehensive water supply and demand gap data of each sub-region with the same land function attribute, and conduct water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.

[0026] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A water resource carrying capacity assessment system for water resource overload areas, characterized in that: The system includes a historical regional water supply data acquisition module, a regional total water storage seasonal correlation module, a regional segmented water supply cluster analysis module, a segmented regional real-time water supply demand dynamic early warning module, a regional water resources multi-trend coordination module, and an information service control platform. The historical regional water supply data acquisition module collects the historical water storage of reservoirs in the current region, and combines it with the water system distribution and hydrological data of reservoirs in the current region to statistically analyze the historical water storage change data of reservoirs in the current region. The regional total water storage seasonal correlation module performs multi-interval fluctuation verification and early warning of regional reservoir water storage in advance, establishes a correlation model between the current regional reservoir total water storage and historical seasonal data, analyzes the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assesses the current regional reservoir real-time water storage status. The regional segmented water supply clustering analysis module divides the current region into hierarchical sub-regions based on the water supply network topology and administrative divisions. It assigns a division attribute label to each hierarchical sub-region, collects the water supply of different hierarchical sub-regions, and clusters the water supply of hierarchical sub-regions with the same division attribute. The segmented regional real-time water supply demand dynamic early warning module analyzes the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs and compares the water supply demand of the sub-regions with the corresponding preset water supply thresholds to dynamically trigger supply and demand early warning. The regional water resources multi-trend coordination module acquires comprehensive water supply and demand gap data for each sub-region with the same land function attribute, and performs water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.

2. The water resource carrying capacity assessment system for water resource overload areas according to claim 1, characterized in that... The historical regional water supply data acquisition module includes a regional reservoir basic information map construction submodule and a historical water storage change data multi-source acquisition submodule. The regional reservoir basic information map construction submodule includes an external satellite remote sensing unit and an external hydrological station data unit. The external satellite remote sensing unit connects to external satellite remote sensing data to acquire the location of each reservoir in the current region and collects upstream and downstream and tributary data of each reservoir. The external hydrological station data unit acquires hydrological station data of each reservoir in real time and collects the real-time water level and flow of each reservoir. The multi-source data of each reservoir is preprocessed to remove outliers. The real-time water level and flow data of each reservoir are automatically marked with a precise timestamp. Reservoir data under different timestamps are randomly selected and sent to the information service control platform for manual verification. The multi-source data acquisition submodule for historical water storage changes obtains the real-time verified historical water storage of reservoirs, establishes a standardized time series water storage dataset for each reservoir in different years, and, through the information service control platform backend administrator, combines the hydrological characteristics of the reservoir location in the current area to divide the different months of the year into the high water period, the low water period, and the normal water period, and divides and statistically analyzes the water storage of each reservoir in the current area in different historical years according to different time periods; A fixed time window is manually selected and set through the information service control platform backend. The fixed time window is set as follows: In 2019, statistics Data on the water storage capacity of each reservoir in the region during the current year.

3. The water resource carrying capacity assessment system for water resource overload areas according to claim 1, characterized in that... The regional total water storage seasonal correlation module includes a multi-interval verification and analysis submodule for the same-period regional reservoir water storage and a multi-seasonal real-time reservoir water storage deviation analysis submodule. The multi-interval verification and analysis submodule acquires real-time water storage data for each reservoir in the current region, calculates the total water storage of the region's reservoirs daily, smooths the total water storage data for the current region's reservoirs, and verifies the total water storage of reservoirs in the current region for similar dates, wherein a certain time interval is set. The total water storage of the reservoir in the current area on each date is Extract the maximum total water storage capacity of the reservoir in the current area within the time interval. The minimum value is Calculate the fluctuation of the total water storage of the reservoir in the current area within a set time interval. , The system determines whether the current reservoir in the designated time interval is in a high-water season, a low-water season, or a normal-water season, and sets a fluctuation threshold for the total water storage of the current reservoir within the high-water season for each interval. The threshold for fluctuation in the total water storage of reservoirs within the dry season period is: The fluctuation threshold of the total water storage of the reservoir in the current area within the normal water period is: Set time interval Fluctuation of the total water storage of reservoirs in the current region Each time interval is compared with the fluctuation threshold of the hydrological characteristic interval of the current reservoir area. If the fluctuation of the total water storage in the current reservoir exceeds the set threshold, an abnormal fluctuation warning will be issued and sent to the information service control platform for manual review.

4. The water resource carrying capacity assessment system for water resource overload areas according to claim 3, characterized in that... The multi-seasonal reservoir real-time water storage deviation analysis submodule combines the current region's hydrological characteristics and external meteorological data to determine the standard seasonal time interval and calculate... The historical average daily total water storage of reservoirs in the current region during the same seasonal period within the year is set as the average value for the same period. The average daily total water storage of reservoirs in the current region during a specific seasonal period within the year is Calculate the time interval within the current season. The historical daily water storage average of the current regional reservoir in 2023 According to the formula: Within its current seasonal time interval The clipped average of the historical daily water storage of the current regional reservoir in a given year is defined as the historical baseline daily water storage of the current regional reservoir within the current seasonal time interval. Collect the real-time daily water storage of reservoirs in the current area, determine the seasonal time interval to which the collected real-time daily water storage belongs, and extract the historical baseline daily water storage for the same period within the seasonal time interval to which the real-time daily water storage belongs. Set the real-time daily water storage of the reservoir in the current area. Calculate the deviation of the current daily water storage of reservoirs in the region from the historical baseline daily water storage. , Specifically, when the deviation is positive, the real-time daily water storage of the reservoir in the current region is marked as high water; when the deviation is negative, the real-time daily water storage of the reservoir in the current region is marked as low water. The deviation of the real-time daily water storage of the reservoir in the current region from the historical baseline daily water storage is calculated according to the formula: Calculate the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval from the historical baseline water storage. Define the deviation of the current daily real-time water storage of reservoirs in a given seasonal time interval as... Calculate the trimmed mean of the daily real-time water storage deviation of the reservoir in the current region within a certain seasonal time interval. According to the formula: The system pre-sets wet and dry water thresholds manually through the information service control platform backend. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is negative, it is compared with the set dry water threshold. If it is less than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be dry; if it is greater than the dry water threshold but less than the wet water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. If the average daily real-time water volume deviation of the current region's reservoirs within the current seasonal time interval is positive, it is compared with the set wet water threshold. If it is greater than or equal to the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be wet; if it is less than the wet water threshold but greater than the dry water threshold, the reservoir's water storage status within the current seasonal time interval is determined to be normal. The system then summarizes the reservoir water storage status within the current seasonal time interval and sends it to the information service control platform backend for manual review.

5. The water resource carrying capacity assessment system for water resource overload areas according to claim 1, characterized in that... The regional segmented water supply clustering analysis module includes a regional division information coding submodule and a regional historical water supply data collection and database construction submodule. The regional division information coding submodule obtains the geographic boundary data of the current region, pre-divides it according to administrative boundaries, and at the same time uses land function attributes to further divide the land within each administrative boundary into residential areas, industrial areas, agricultural areas, and ecological areas. Each sub-region is assigned a unique identifier code, which includes information on the administrative region to which it belongs, GPS positioning information, area proportion information, land function attribute information, and sequence code. The historical water supply data collection and database construction submodule acquires the historical water supply of each sub-region, collects the historical water supply of the sub-region for each year within a set time period, and simultaneously acquires the sum of the metering data of each smart water meter in each sub-region for each year within the set time period. It compares and verifies the sum of the metering data of each smart water meter in the current sub-region within the same time period with the water supply of the sub-region. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is within a set threshold range, the sum of the metering data of each smart water meter in the current sub-region within the same time period is defined as the water supply data of the current sub-region for that year. If the deviation between the sum of the metering data of each smart water meter in the current sub-region within the same time period and the water supply of the sub-region is outside the set threshold range, the water supply data of the current sub-region is sent to a human for verification. Different sub-regions belonging to the same administrative region, with identical land function attribute information, and whose annual water supply data differs within a set threshold are clustered and labeled to construct a hierarchical sub-region historical water supply database.

6. The water resource carrying capacity assessment system for water resource overload areas according to claim 1, characterized in that... The segmented regional real-time water supply demand dynamic early warning module includes a sub-module for presetting differentiated sub-region water supply thresholds under water storage conditions and a sub-module for comparing and analyzing real-time water supply demand gaps in sub-regions. Under water storage conditions, the sub-module for presetting differentiated sub-region water supply thresholds is manually set in advance by the information service control platform backend to set the basic threshold for the current reservoir water supply in different seasonal time intervals. This method obtains the water storage status of reservoirs in the current region under different seasonal time intervals. Based on the current water storage status, it sets adjustment coefficients for the basic threshold of water supply from reservoirs in the current region under different seasonal time intervals. If the water storage status of reservoirs in the current region is in a high-water state under a certain seasonal time interval, the adjustment coefficient for the basic threshold of water supply from reservoirs in the current region under that seasonal time interval is set to... The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: If the water storage status of the reservoir in the current region is normal within a certain seasonal time interval, then the basic threshold for the water supply of the reservoir in the current region within the current seasonal time interval remains at [value missing]. If the water storage status of the reservoir in the current area is low during a certain seasonal time interval, the basic threshold adjustment coefficient for the water supply of the reservoir in the current area during that seasonal time interval is set as follows: The basic threshold for water supply from reservoirs in the current region during the current seasonal time interval is: ,in, Based on the baseline threshold of the current regional reservoir water supply for each seasonal time interval, the comprehensive baseline threshold of the actual water supply of the current regional reservoir within a year is calculated. .

7. A water resource carrying capacity assessment system for water resource overload areas according to claim 6, characterized in that... The sub-module for comparing and analyzing the real-time water supply demand gap in the sub-regions obtains the historical water supply of each sub-region in the previous year, defining it as the demand water supply of each sub-region. It also obtains the land function attributes of each sub-region in the current region, calculates the sum of the demand water supply of sub-regions with the same land function attribute, and statistically analyzes the comprehensive demand water supply of sub-regions with the same land function attribute. Simultaneously, it obtains the comprehensive basic threshold for the actual water supply of the reservoir in the current year. Through the information service control platform, it manually sets the water supply guarantee ratio for sub-regions with different land function attributes, calculates the comprehensive guaranteed actual water supply of sub-regions with the same land function attribute, and sets the comprehensive demand water supply of a sub-region with a certain land function attribute as... The actual comprehensive water supply for a sub-region with the same land function attribute within that year was Calculate the water supply and demand gap rate of the sub-region under the same land function attribute. According to the formula: The information service control platform allows for the manual setting of regional water supply and demand gap rate thresholds for different land function attributes. The calculated water supply and demand gap rate of the sub-region under the same land function attribute is compared with the set threshold for the regional water supply and demand gap rate corresponding to the land function attribute. If the threshold is greater than the set threshold, a regional water supply and demand gap warning message for the current land function attribute is sent to the information service control platform for manual review.

8. A water resource carrying capacity assessment system for water resource overload areas according to claim 1, characterized in that... The regional water resources multi-trend coordination module includes a supply and demand status matrix construction submodule and a water resources coordination priority feedback submodule. The supply and demand status matrix construction submodule obtains the water supply and demand gap rate of each sub-region under the same land function attribute, and summarizes them to form a comprehensive water supply and demand gap rate data matrix for each region under the same land function attribute. The water resources coordination priority feedback submodule sorts the comprehensive water supply and demand gap rates of regions under different land function attributes in descending order, sorts the water resources coordination priorities of regions under different land function attributes from high to low in descending order, and sends the water resources coordination priorities of regions under different land function attributes to the information service control platform for manual processing.

9. A method for evaluating the water resource carrying capacity of water resource overloaded areas, characterized in that... : S1: Collect the historical water storage of reservoirs in the current area using the historical water supply data acquisition module, and combine it with the water system distribution and hydrological data of reservoirs in the current area to statistically analyze the historical water storage change data of reservoirs in the current area. S2: Utilize the regional total water storage seasonal correlation module to conduct multi-interval fluctuation verification and early warning of regional reservoir water storage, establish a correlation model between the current regional reservoir total water storage and historical seasonal data, analyze the deviation data of the current regional reservoir real-time water storage relative to the historical seasonal average level, and assess the current regional reservoir real-time water storage status. S3: Using the regional segmented water supply volume clustering analysis module, the current region is divided into hierarchical sub-regions based on the water supply network topology and administrative divisions. Each hierarchical sub-region is labeled with a division attribute, and the water supply volume of different hierarchical sub-regions is collected. The water supply volume of hierarchical sub-regions with the same division attribute is clustered. S4: Utilize the segmented regional real-time water supply demand dynamic early warning module to perform preset water supply threshold analysis on the water supply of different sub-regions with different classification attributes based on the real-time water storage status of regional reservoirs, compare the water supply demand of the sub-regions with the corresponding preset water supply thresholds, and dynamically trigger supply and demand early warning. S5: Use the regional water resources multi-trend coordination module to obtain the comprehensive water supply and demand gap data of each sub-region with the same land function attribute, and conduct water resources coordination priority analysis according to the comprehensive water supply and demand gap data of the region under different land function attributes.