A method for determining a drought assessment value and related device

Abstract

This application provides a method and related equipment for determining drought assessment values, belonging to the field of drought management technology. In this application, water supply units are divided based on the water supply area of ​​the water source. The drought deficit rate in each water supply unit is accurately calculated, and the overall drought index of the region is comprehensively calculated by combining the weight of each water supply unit. This method can determine the drought deficit of each water supply unit in the overall region and comprehensively determine the overall drought situation. Compared with related technologies, this application can reflect the drought level at a micro level, helping to implement targeted decisions.

Description

Technical Field

[0001] This application relates to the field of drought management technology, and in particular to a method and related equipment for determining drought assessment values. Background Technology

[0002] Drought assessment is a core foundation for water resource management and emergency dispatch, directly impacting the scientific rigor, timeliness, and accuracy of drought relief decisions. Among related technologies, assessments of socio-economic drought primarily employ the total balance method at the administrative region level. This involves calculating the regional comprehensive supply-demand gap rate by statistically analyzing the difference between the total water supply (surface water, groundwater, and externally diverted water) and the total water demand (domestic, industrial, and ecological water use) within a specific administrative region, thereby classifying drought levels. For example, both City A and City B have a comprehensive supply-demand gap rate of 0.3 (indicating severe drought). However, City A has a uniform gap of 0.3 across its entire region, while City B has a gap of 0.9 in one-third of its area (indicating extremely severe drought) and no gap in two-thirds. This makes it impossible to distinguish the severity of drought in City A and City B. Furthermore, the impact of localized extreme drought in City B on people's livelihoods and the economy is far greater than in City A, failing to objectively reflect the true level of socio-economic drought and resulting in a lack of targeted decision-making.

[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the Invention

[0004] The main objective of this application is to propose a method and related equipment for determining drought assessment values.

[0005] To achieve the above objectives, one aspect of this application proposes a method for determining drought assessment values, the method comprising:

[0006] Based on the distribution of water supply sources in the assessment area, one or more water supply units are divided, wherein the water supply coverage area of ​​each water supply source is defined as the unit area of ​​the water supply unit. Collect the total water supply data and total water demand data of each water supply unit within a preset assessment period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data; Obtain the preset evaluation index data of each water supply unit, and determine the weight of each water supply unit based on the evaluation index data using the entropy weight-variance coefficient coupling weighting method. The comprehensive drought index for the assessment area is calculated based on the drought deficit rate and weight of each water supply unit.

[0007] In some embodiments, after calculating the comprehensive drought index of the assessment area based on the drought deficit rate and its weight for each water supply unit, the method further includes: Based on the comprehensive drought index, combined with the dispersion index of drought deficit rate of each water supply unit and / or the proportion of extremely drought units, the final drought level of the assessment area is determined; wherein, the extremely drought unit is a water supply unit with a drought deficit rate not less than a preset threshold.

[0008] In some embodiments, when there is at least one water supply source in the same area, the water supply unit to which it belongs is determined according to the principle of priority of the main water supply source, and the water supply of the auxiliary water supply source is included in the total water supply of the water supply unit to which it belongs.

[0009] In some embodiments, the method of determining the weight of each water supply unit using the entropy weight-variance coefficient coupled weighting method includes: Construct an indicator system that includes at least two evaluation indicators; The raw data of the evaluation indicators for each water supply unit are standardized to obtain a standardized matrix; Based on the standardized matrix, the weights of each evaluation index are calculated using the entropy weight method and the coefficient of variation method, respectively, to obtain the entropy weight method weight and the coefficient of variation method weight. The weights of the entropy weight method and the weights of the coefficient of variation method are weighted and fused to obtain the coupled weights of each evaluation index; Based on the standardized matrix and the coupling weights, the comprehensive weight of each water supply unit is calculated.

[0010] In some embodiments, the indicator system includes at least one of the following indicators: resident population density, GDP per capita, and domestic water consumption ratio.

[0011] In some embodiments, the method further includes: Generate a final drought level for the assessment area, the drought deficit rate and its weight for each water supply unit, a spatial distribution map of the drought deficit rate, and / or a list of extreme drought units.

[0012] To achieve the above objectives, another aspect of this application provides a drought assessment value determination apparatus, the apparatus comprising: The division module is used to divide one or more water supply units according to the distribution of water supply sources in the assessment area, wherein the water supply coverage area of ​​each water supply source is used as the unit area of ​​the water supply unit. The calculation module is used to collect the total water supply data and total water demand data of each water supply unit within a preset assessment period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data. The weighting module is used to obtain the preset evaluation index data of each water supply unit, and based on the evaluation index data, the weight of each water supply unit is determined by the entropy weight-variance coefficient coupled weighting method. The determination module is used to calculate the comprehensive drought index of the assessment area based on the drought deficit rate and weight of each water supply unit.

[0013] To achieve the above objectives, another aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described above.

[0014] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described above.

[0015] To achieve the above objectives, another aspect of the embodiments of this application proposes a computer program product, including a computer program that, when executed by a processor, implements the aforementioned method.

[0016] The embodiments of this application include at least the following beneficial effects: This application provides a method, apparatus, electronic device, storage medium, and computer program product for determining drought assessment values. This solution divides the assessment area into one or more water supply units based on the distribution of water sources, with the water supply coverage area of ​​each water source serving as the unit area of ​​the water supply unit; collects total water supply data and total water demand data for each water supply unit within a preset assessment period, and calculates the drought deficit rate for each water supply unit based on the total water supply data and total water demand data; obtains preset assessment index data for each water supply unit, and determines the weight of each water supply unit based on the assessment index data using an entropy weight-variance coefficient coupling weighting method; and calculates the comprehensive drought index for the assessment area based on the drought deficit rate and weight of each water supply unit. In this application, water supply units are divided based on the water supply area of ​​the water source, the drought deficit rate in each water supply unit is accurately calculated, and the overall drought index of the area is comprehensively calculated by combining the weight of each water supply unit. This technology can identify drought gaps in each water supply unit within a region as a whole and comprehensively determine the overall drought situation. Compared to related technologies, this technology can reflect drought levels at a micro level, helping to implement targeted decisions. Attached Figure Description

[0017] Figure 1 This is a flowchart of the drought assessment value determination method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the drought assessment value determination device provided in the embodiments of this application; Figure 3 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit it. In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application; they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0020] Before providing a detailed description of the embodiments of this application, some of the nouns and terms involved in the embodiments of this application will be explained first. The nouns and terms involved in the embodiments of this application are subject to the following interpretations.

[0021] The drought assessment value determination method provided in this application relates to the field of drought management. This method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, smart speaker, smartwatch, or vehicle terminal, but is not limited to these. The server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network. The software can be an application implementing the drought assessment value determination method, but is not limited to the above forms.

[0022] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics devices, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0023] Figure 1 This is an optional flowchart of the drought assessment value determination method provided in the embodiments of this application. Figure 1 The method may include, but is not limited to, steps S101 to S104.

[0024] Step S101: Based on the distribution of water supply sources in the assessment area, divide the area into one or more water supply units, wherein the water supply coverage area of ​​each water supply source is defined as the unit area of ​​the water supply unit.

[0025] This embodiment forms the basis for achieving refined assessment. Its core lies in breaking away from the limitations of traditional administrative boundaries and instead dividing assessment units based on the physical network structure of the water supply system and actual water supply relationships. Dividing water supply units requires the comprehensive use of multi-source data to ensure the accuracy of the boundaries. The main data sources include: Water supply planning map: clearly defines the planned water supply area and major water users of each water source.

[0026] Water source distribution map: Marks the location and basic information of reservoirs, river intakes, groundwater sources, etc.

[0027] Water supply network topology diagram: It reflects the connection relationship, pipe diameter and flow direction of water transmission pipelines and is the key to determining the water supply coverage area.

[0028] Water user profile: includes user location, water usage type (domestic, industrial, agricultural, etc.), and information on the registered main water supplier.

[0029] Geographic Information System (GIS) base map: provides a basic geospatial framework.

[0030] The physical water supply coverage area of ​​a single primary water source serves as the boundary for division. Within a water supply unit, the water needs of the vast majority of users (typically exceeding 80%) should be met by that primary water source. This ensures the relative independence and consistency of supply and demand within the unit. Each water supply unit has one and only one clearly defined primary water source. For example, an area supplied by a specific reservoir through an independent pipeline network can be classified as a water supply unit.

[0031] In actual water supply systems, a region may be served by multiple water sources, or a backup water source may be activated in an emergency. To address the ambiguity of traditional methods in this scenario, this invention explicitly adopts the principle of prioritizing the primary water supply source for attribution determination. Specifically, the process involves consulting the primary water supply unit registered in the user's file and attributing all of the user's water consumption (regardless of the source) to the corresponding water supply unit. The water supply from auxiliary water sources (such as emergency water diversion or groundwater replenishment) is included in the total water supply from the primary water supply unit of the user's unit. This rule originates from the provisions regarding the responsible entities for water supply services in the "Urban Water Supply Regulations," has a management practice basis and rationality, effectively avoids the problem of double-counting or undercounting of water supply, and standardizes the logic of supply and demand calculation.

[0032] After the division is completed, a boundary vector map (GIS layer) of the water supply units should be generated, and a unique number should be assigned to each unit. At the same time, a unit attribute table should be established to record basic information such as the type of its main water supply source (e.g., Reservoir A) and the main user types covered (domestic / production / ecological), laying the foundation for subsequent data collection and analysis.

[0033] Step S102: Collect the total water supply data and total water demand data of each water supply unit within the preset evaluation period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data.

[0034] Total water supply (W) 供i This refers to the total water volume actually supplied to the i-th water supply unit within a preset assessment period (such as one month or one quarter). Data should come from the water plant's metering at the outlet, flow meters at key nodes of the pipeline network, or aggregated data from users' smart water meters. It must cover the water supply from the main water source and all auxiliary water sources, and be calculated separately according to water source type (surface water, groundwater, and externally diverted water) and then summed to support more in-depth analysis.

[0035] Total water demand (W) 需i Water demand refers to the total water volume required for the i-th water supply unit to operate normally within the same assessment period. Water demand is a concept based on standards, planning, or forecasts, and typically includes: Domestic water demand: daily water use by residents and water use for public services (schools, hospitals, commerce, etc.).

[0036] Water demand for production: water for industrial production and water for agricultural irrigation.

[0037] Ecological water demand: The amount of water required to maintain the basic ecological functions of the river channel, wetland health, and groundwater recharge.

[0038] These data can be obtained from local water resources departments' water use statistics ledgers, water resources bulletins, economic and social development statistical yearbooks, and relevant planning documents.

[0039] The formula for calculating the drought deficit rate (G_i) of the i-th water supply unit is: (1) The Max() function ensures that the deficit rate is 0 when supply exceeds demand, which is consistent with the definition of drought as a water shortage event. G i The value ranges from [0, 1], with a larger value indicating a more severe water shortage in the unit. For example, G i =0.3 indicates that 30% of the water demand of this unit is not being met.

[0040] The success of this step relies on an effective data acquisition module. This module should be able to connect to hydrological monitoring stations, water supply company SCADA systems, smart water meter platforms, and statistical department databases to achieve W 供i and W 需i Automated or semi-automated data collection and verification reduce human intervention and improve efficiency and accuracy.

[0041] Step S103: Obtain the preset evaluation index data of each water supply unit, and determine the weight of each water supply unit based on the evaluation index data using the entropy weight-variance coefficient coupling weighting method. The purpose of this embodiment is to objectively and scientifically quantify the differences in importance of different water supply units in regional drought assessment, overcoming the drawbacks of traditional methods that rely on subjective assignment or simple averaging.

[0042] The weighting is based on objective indicators that reflect the socioeconomic importance and drought sensitivity of a unit. A preferred indicator system includes: Resident population density (P): Total resident population within a unit divided by the unit area (unit: people / square kilometer). Drought in densely populated areas has a wide-ranging impact and poses a high risk to social stability, thus requiring greater attention. Data is sourced from statistical yearbooks or population censuses.

[0043] GDP per capita (G): Total GDP within a unit divided by the resident population (unit: 10,000 yuan / person). Regions with high economic output experience greater economic losses due to drought, thus placing a higher priority on water supply security. Data sourced from local statistical bulletins.

[0044] Domestic water use percentage (L): The percentage of domestic water demand within a unit relative to total water demand (%). Domestic water use is essential for basic livelihoods, and its shortage has a far greater social impact than production or ecological water use, making it the highest priority water use type in drought emergency responses. Data is sourced from water use records of the water resources department.

[0045] These three indicators characterize the importance of a unit from three dimensions: social impact, economic impact, and water use sensitivity. All are positive indicators; that is, the higher the indicator value, the higher the weight the unit should generally have in drought assessment. In practical applications, other relevant indicators can be added or replaced depending on the specific circumstances of the assessment area. The specific calculation process includes: 1. Implementation steps of the coupling weighting method: Assuming there are n water supply units and m evaluation indicators, forming the original data matrix .

[0046] a) Data standardization processing: Because the indicators have different dimensions and orders of magnitude, standardization is necessary to eliminate their influence. For positive indicators, the range standardization formula is used: (2) in, and These are the maximum and minimum values ​​of the j-th indicator across all units, respectively. After standardization, all indicator values... All fall within the [0,1] interval. If a negative indicator exists, then... (3) Standardize the matrix. Let the standardized matrix be denoted as . .

[0047] b) Calculate the index weights (W) using the entropy weight method 1j ): The entropy weight method uses information entropy to measure the degree of disorder in indicator data. The smaller the entropy value, the greater the difference between different units of the indicator, the more information it provides, and the greater the weight it should be given.

[0048] Calculate the feature weight of the i-th unit under the j-th indicator: (4) Calculate the information entropy of the j-th indicator: (5) in ,make sure .

[0049] Calculate the utility value of the j-th indicator: . The larger the value, the more important the indicator.

[0050] Normalization yields the entropy weight method weights: (6) c) Calculation of index weights (W) using the coefficient of variation method 2j ): The coefficient of variation method directly uses the dispersion of index data to assign weights.

[0051] Calculate the mean of the j-th indicator. and standard deviation .

[0052] Calculate the coefficient of variation of the j-th indicator: (7) The larger the value, the more significant the relative differences between different units, and the stronger the distinguishing ability.

[0053] Normalization yields the weights obtained using the coefficient of variation method. (8) d) Coupling weight fusion: To balance the information content of the indicators and the degree of data variability, the weights obtained from the two methods are combined. A preferred and robust fusion method is to take the arithmetic mean: (9) Generally acceptable This indicates that both methods are equally important. In practical applications, the α value can be adjusted based on the assessment of the reliability of the two methods.

[0054] This is the final coupling weight of the j-th evaluation index.

[0055] e) Calculate the comprehensive weight of the unit (W) i ): The final weight W of the unit i Its standardized index values Coupling weights with corresponding indicators The weighted sum and determination reflect the unit's overall performance across all importance dimensions.

[0056] First, calculate the importance score for each unit: (10) The importance scores of all units are normalized to obtain the final weight of each unit: (11) make sure To prevent the weights from being too concentrated or dispersed, a reasonable range of values ​​can be set (such as 0.05 to 0.3), which can be achieved naturally through the normalization process or with slight constraints.

[0057] Through the above steps, W i The determination of the weights is based entirely on objective data, avoiding the subjective arbitrariness of expert scoring methods, making the weight allocation more scientific and convincing, and truly reflecting the concept of data-driven decision-making.

[0058] Step S104: Calculate the comprehensive drought index of the assessment area based on the drought deficit rate and weight of each water supply unit.

[0059] In obtaining the drought deficit rate G for each water supply unit i and its objective weight W i Then, the comprehensive index I, which reflects the overall drought level of the assessed area, can be calculated.

[0060] The calculation formula is as follows: (12) Where n is the total number of water supply units. This formula is essentially a weighted average of the drought deficit rates of all units, with weights W. i This reflects the different contributions of water shortages in different units to the overall regional drought. Severe water shortages in a high-weight unit will significantly increase the overall I value, which is consistent with the actual concerns of drought management (prioritizing key areas).

[0061] In some embodiments, after calculating the comprehensive drought index I, to further enhance the scientific rigor and decision support capabilities of the assessment, the method may further include: Based on the comprehensive drought index, combined with the dispersion index of drought deficit rate of each water supply unit and / or the proportion of extremely drought units, the final drought level of the assessment area is determined.

[0062] This step aims to address a key challenge in traditional assessment methods: situations where the overall index is the same but the drought distribution differs, such as the example of City A (uniform drought) and City B (localized extreme drought) mentioned in the background section. Specific indicators include: The dispersion index of drought deficit rate is usually expressed as standard deviation (σ). The calculation formula is as follows: (13) in, σ is the arithmetic mean of all units Gi (i.e., the unweighted average deficit rate). The larger the value of σ, the greater the difference in water deficit among units and the more uneven the drought distribution.

[0063] Extreme drought unit percentage (R): Based on drought management experience, the drought gap rate can be... Units with a water shortage rate exceeding 50% are defined as extremely arid units, where water use has been severely impacted. The formula for calculating the proportion R of extremely arid units is: (14) The R value directly reflects the extent to which a region has been devastated by water shortages.

[0064] The comprehensive drought index I reflects the overall level of water shortage, while the standard deviation σ and the proportion of extreme drought R characterize the spatial distribution structure of water shortage. The final determination of the drought level requires combining all three factors.

[0065] A preliminary drought level classification standard based on the comprehensive drought index I can be established, for example: 0 ≤ I < 0.1: Mild drought 0.1 ≤ I < 0.2: Moderate drought 0.2 ≤ I < 0.3: Severe drought I ≥ 0.3: Extremely severe drought When the combined drought index I of two or more regions is the same or very close, σ and R need to be introduced for fine-grained discrimination. The judgment principle is: under the condition that the overall water shortage level is similar, the situation where the drought distribution is more concentrated and the proportion of extreme drought areas is higher, the actual harm and the urgency of emergency treatment are higher, and it should be judged as a more severe drought level.

[0066] Specifically, the following rules can be set: If the I value of region A is the same as that of region B, but the σ value and R value of region A are significantly greater than those of region B, then region A is determined to be more arid than region B.

[0067] When defining specific levels within the same I value range, σ and R can be used as adjustment factors. For example, within the "severe drought (0.2≤I<0.3)" range, it can be further specified that if σ ≥ 0.1 or R ≥ 10%, it is judged as "severe drought - concentrated type"; otherwise, it is "severe drought - uniform type".

[0068] In some embodiments, the method further includes: Generate a final drought level for the assessment area, the drought deficit rate and its weight for each water supply unit, a spatial distribution map of the drought deficit rate, and / or a list of extreme drought units.

[0069] The method also includes generating and outputting a comprehensive evaluation report. The report content includes: Overview of the assessment area and assessment period.

[0070] The final drought level and the basis for the determination (I, σ, R).

[0071] A detailed list of each water supply unit, including unit number, main water source, drought deficit rate (Gi), and weight (W). i ).

[0072] Spatial distribution map of drought deficit rate in water supply units: Each unit is rendered with different colors or shades on the GIS map to intuitively show drought hotspots.

[0073] List of localized drought hotspots: Extreme drought units (G) are specifically listed. i ≥ 0.5) and / or high-weighted high-gap-ratio cells (W i × G i (High value) provides a clear target for emergency dispatch.

[0074] Relevant data tables, a summary of the calculation process, and necessary explanations.

[0075] The report supports exporting to multiple formats such as Excel, Word, PDF, and images, making it easy to use on different platforms and in different scenarios.

[0076] The following is a detailed introduction and explanation of the solutions in the embodiments of the present invention, in conjunction with specific application scenarios: S1: According to the water supply plan of City X, five water supply units with a single water source (U1-U5) are divided. Among them, U1 (main water source: Reservoir A) covers the city center (mainly for domestic water use, population 400,000), U2 (main water source: River B) covers the industrial area (mainly for production water use, population 200,000), U3 (main water source: Groundwater C) covers the suburban agricultural area (mainly for agricultural water use, population 300,000), U4 (main water source: Reservoir D) covers the western residential area (population 200,000), and U5 (main water source: River E) covers the ecological protection area (mainly for ecological water use, population 100,000). U4 has an auxiliary water supply from River E. Following the principle of prioritizing the main water source, the auxiliary water supply volume is included in the W of U4. 供4 .

[0077] S2: Using water conservancy monitoring data and water usage statistics, obtain the total water demand and actual water supply for each unit in July and August 2025, and calculate the drought deficit rate G. i The results are shown in Table 1 below:

[0078] Table 1. Drought Deficit Rate Parameters for Water Supply Units S3: Obtain the raw data of the three indicators for each unit from the statistical yearbook and water conservancy ledger, as shown in Table 2.

[0079]

[0080] Table 2. Parameters related to the weight calculation of water supply units Standardize the data in Table 2. Taking population density P as an example, the maximum value max(P) = 1200 and the minimum value min(P) = 200. The standardized value of U1 P' = (1200-200) / (1200-200) = 1.0; the standardized value of U5 P' = (200-200) / (1000) = 0.0. Similarly, calculate G' and L' to obtain the standardized matrix, as shown in Table 3.

[0081]

[0082] Table 3 Standardized matrix after standardization of relevant parameters for weight calculation S4: Calculation of W using the entropy weight method 1j : Calculate the information entropy H of each indicator. j HP=0.86, H G =0.82, H L =0.88 Utility value E j E P =0.14, E G =0.18, E L =0.12 Entropy weight W 1j :W 1P =0.35, W 1G =0.45, W 1L =0.20 S5: Calculation of W using the coefficient of variation method 2j : Coefficient of variation (CV) j CV P =0.68, CV G =0.75, CV L =0.82 Coefficient of variation weight W 2j :W 2P =0.30, W 2G =0.33, W 2L =0.37 S6: Coupling weight W j : W P =0.5×0.35+0.5×0.30=0.325 W G =0.5×0.45+0.5×0.33=0.39 W L =0.5×0.20+0.5×0.37=0.285 Unit comprehensive weight W i : U1: (0.325×1.0 + 0.39×0.78 + 0.285×1.0)=0.325+0.304+0.285=0.914 U2: (0.325×0.67 + 0.39×1.0 + 0.285×0.29) = 0.218 + 0.39 + 0.083 = 0.691 U3: (0.325×0.25 + 0.39×0.12 + 0.285×0.0)=0.081+0.047+0=0.128 U4: (0.325×0.75 + 0.39×0.54 + 0.285×0.91)=0.244+0.211+0.259=0.714 U5: (0.325×0.0 + 0.39×0.0 + 0.285×0.59)=0+0+0.168=0.168 Normalized W i U1=0.30, U2=0.23, U3=0.05, U4=0.24, U5=0.18 (total = 1.00). The final weight table is shown in Table 4.

[0083] Table 4 Final Weight Values S7: Calculate the comprehensive drought index I I=(0.30×0.30)+(0.23×0.50)+(0.05×0.10)+(0.24×0.70)+(0.18×0.10)=0.09+0.115+0.005+0.168+0.018=0.396 In some special cases, the I value of city Y is the same as that of city X, and the G value is 5 units. i The values ​​are 0.35, 0.40, 0.38, 0.36, and 0.39 respectively (σ=0.018, R=0), while in City X, σ=0.21 and R=40%; Since σ (0.21) in City X is greater than σ (0.018) in City Y, and R (40%) in City X is greater than R (0) in City Y, it is determined that the drought in City X is more severe.

[0084] S8: Determine the final drought level City X has I=0.396≥0.3, σ=0.21≥0.2, and R=40%≥20%, which is classified as extremely severe drought. The overall I value for the administrative region was 0.38 (extremely severe drought), while the Gi values ​​of U2 and U4 (0.50 and 0.70, respectively) were significantly higher than the overall average (0.38). These were the core units driving the escalation of the regional drought level. Therefore, the local hotspots were U4 (G4=0.70, W4=0.24) and U2 (G2=0.50, W2=0.23), which is consistent with the actual drought scenario and verifies the effectiveness of the objective weighting method.

[0085] Based on on-site investigation and verification, the actual situation in City X during the assessment period is as follows: Due to persistent high temperatures and insufficient water storage in the main water source, Reservoir D, U4 (the western residential area) experienced a water supply shortage of up to 70%, leading to the implementation of time-based water supply measures, which significantly impacted residents' lives. U2 (the industrial zone) faced a water supply shortage of 50% due to low water flow from River B, forcing some water-intensive enterprises to reduce production. The assessment results of this invention closely match the actual situation. However, if the traditional administrative region total balance method is used, it can only calculate the overall supply-demand gap rate of City X to be approximately 0.38, classifying it as an extremely severe drought, but it cannot identify that the drought mainly occurred in the two key areas of U2 and U4, nor can it distinguish the essential differences between them and City Y.

[0086] Please see Figure 2 This application also provides a drought assessment value determination device that can implement the above-described method. The device includes: The division module 21 is used to divide one or more water supply units according to the distribution of water supply sources in the assessment area, wherein the water supply coverage area of ​​each water supply source is used as the unit area of ​​the water supply unit. The calculation module 22 is used to collect the total water supply data and total water demand data of each water supply unit within a preset evaluation period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data. The weighting module 23 is used to obtain the preset evaluation index data of each water supply unit, and based on the evaluation index data, the weight of each water supply unit is determined by the entropy weight-variance coefficient coupled weighting method. The determination module 24 is used to calculate the comprehensive drought index of the assessment area based on the drought deficit rate and weight of each water supply unit.

[0087] In some embodiments, the determining module 24 is configured to: Based on the comprehensive drought index, combined with the dispersion index of drought deficit rate of each water supply unit and / or the proportion of extremely drought units, the final drought level of the assessment area is determined; wherein, the extremely drought unit is a water supply unit with a drought deficit rate not less than a preset threshold.

[0088] In some embodiments, when there is at least one water supply source in the same area, the water supply unit to which it belongs is determined according to the principle of priority of the main water supply source, and the water supply of the auxiliary water supply source is included in the total water supply of the water supply unit to which it belongs.

[0089] In some embodiments, the empowerment module 23 is used for: Construct an indicator system that includes at least two evaluation indicators; The raw data of the evaluation indicators for each water supply unit are standardized to obtain a standardized matrix; Based on the standardized matrix, the weights of each evaluation index are calculated using the entropy weight method and the coefficient of variation method, respectively, to obtain the entropy weight method weight and the coefficient of variation method weight. The weights of the entropy weight method and the weights of the coefficient of variation method are weighted and fused to obtain the coupled weights of each evaluation index; Based on the standardized matrix and the coupling weights, the comprehensive weight of each water supply unit is calculated.

[0090] In some embodiments, the indicator system includes at least one of the following indicators: resident population density, GDP per capita, and domestic water consumption ratio.

[0091] In some embodiments, the determining module 24 is configured to: Generate a final drought level for the assessment area, the drought deficit rate and its weight for each water supply unit, a spatial distribution map of the drought deficit rate, and / or a list of extreme drought units.

[0092] It is understood that the content of the above method embodiments is applicable to the present device embodiments. The specific functions implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0093] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0094] It is understood that the content of the above method embodiments is applicable to this device embodiment. The specific functions implemented by this device embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0095] Please see Figure 3 , Figure 3 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 302 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 302 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and is called and executed by the processor 301 using the methods described above in the embodiments of this application. Input / output interface 303 is used to implement information input and output; The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304); The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0096] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method.

[0097] It is understood that the content of the above method embodiments is applicable to this storage medium embodiment. The specific functions implemented in this storage medium embodiment are the same as those in the above method embodiments, and the beneficial effects achieved are also the same as those achieved in the above method embodiments.

[0098] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0099] It is understood that the content of the above method embodiments is applicable to the embodiments of this program product. The specific functions implemented by the embodiments of this program product are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0100] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0101] The drought assessment method, apparatus, electronic device, storage medium, and program product provided in this application divide the assessment area into one or more water supply units based on the distribution of water supply sources, with the water supply coverage area of ​​each water supply source serving as the unit area of ​​the water supply unit; collects total water supply data and total water demand data for each water supply unit within a preset assessment period, and calculates the drought deficit rate for each water supply unit based on the total water supply data and total water demand data; obtains preset assessment index data for each water supply unit, and determines the weight of each water supply unit based on the assessment index data using an entropy weight-variance coefficient coupling weighting method; and calculates the comprehensive drought index for the assessment area based on the drought deficit rate and weight of each water supply unit. In this application, water supply units are divided based on the water supply area of ​​the water supply source, the drought deficit rate in each water supply unit is accurately calculated, and the overall drought index of the region is comprehensively calculated by combining the weight of each water supply unit. This allows for the determination of the drought deficit of each water supply unit within the overall region and a comprehensive assessment of the overall drought situation. Compared to related technologies, this application can reflect the drought level at a microscopic level, aiding in the implementation of targeted decision-making.

[0102] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0103] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0104] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0105] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0106] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises 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 such processes, methods, products, or apparatus.

[0107] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0108] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0109] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0110] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0111] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0112] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for determining drought assessment values, characterized in that, The method includes: Based on the distribution of water supply sources in the assessment area, one or more water supply units are divided, wherein the water supply coverage area of ​​each water supply source is defined as the unit area of ​​the water supply unit. Collect the total water supply data and total water demand data of each water supply unit within a preset assessment period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data; Obtain the preset evaluation index data of each water supply unit, and determine the weight of each water supply unit based on the evaluation index data using the entropy weight-variance coefficient coupling weighting method. The comprehensive drought index for the assessment area is calculated based on the drought deficit rate and weight of each water supply unit.

2. The method of claim 1, wherein, After calculating the comprehensive drought index of the assessment area based on the drought deficit rate and its weight for each water supply unit, the method further includes: Based on the comprehensive drought index, combined with the dispersion index of drought deficit rate of each water supply unit and / or the proportion of extremely drought units, the final drought level of the assessment area is determined; wherein, the extremely drought unit is a water supply unit with a drought deficit rate not less than a preset threshold.

3. The method of claim 1, wherein, When there is at least one water supply source in the same area, the water supply unit to which it belongs shall be determined according to the principle of priority of the main water supply source, and the water supply of the auxiliary water supply source shall be included in the total water supply of the water supply unit to which it belongs.

4. The method of claim 1, wherein, The method of determining the weights of each water supply unit using entropy weight-variance coefficient coupling weighting includes: Construct an indicator system that includes at least two evaluation indicators; The raw data of the evaluation indicators for each water supply unit are standardized to obtain a standardized matrix; Based on the standardized matrix, the weights of each evaluation index are calculated using the entropy weight method and the coefficient of variation method, respectively, to obtain the entropy weight method weight and the coefficient of variation method weight. The weights of the entropy weight method and the weights of the coefficient of variation method are weighted and fused to obtain the coupled weights of each evaluation index; Based on the standardized matrix and the coupling weights, the comprehensive weight of each water supply unit is calculated.

5. The method according to claim 4, characterized in that, The indicator system includes at least one of the following indicators: resident population density, GDP per capita, and the proportion of domestic water consumption.

6. The method according to claim 2, characterized in that, The method further includes: Generate a final drought level for the assessment area, the drought deficit rate and its weight for each water supply unit, a spatial distribution map of the drought deficit rate, and / or a list of extreme drought units.

7. A drought evaluation value determination device characterized by comprising: The device includes: The division module is used to divide one or more water supply units according to the distribution of water supply sources in the assessment area, wherein the water supply coverage area of ​​each water supply source is used as the unit area of ​​the water supply unit. The calculation module is used to collect the total water supply data and total water demand data of each water supply unit within a preset assessment period, and calculate the drought deficit rate of each water supply unit based on the total water supply data and the total water demand data. The weighting module is used to obtain the preset evaluation index data of each water supply unit, and based on the evaluation index data, the weight of each water supply unit is determined by the entropy weight-variance coefficient coupled weighting method. The determination module is used to calculate the comprehensive drought index of the assessment area based on the drought deficit rate and weight of each water supply unit.

8. An electronic device, comprising: The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 8. When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.

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