A method for determining water level classification and early warning strategies

Abstract

This application provides a method for determining a water level graded early warning strategy, applied to a water supply reservoir. The method includes: acquiring water level attribute parameters of the reservoir, water demand data of the target area where the reservoir is located, and engineering data of the reservoir; determining multi-level early warning indicators for the reservoir based on the water level attribute parameters, the water demand data, and the engineering data; the multi-level early warning indicators include a first early warning water level parameter, a second early warning water level parameter, and a third early warning water level parameter; the value of the first early warning water level parameter is greater than the value of the second early warning water level parameter; the value of the second early warning water level parameter is greater than the value of the third early warning water level parameter; monitoring the water level parameters of the reservoir; and determining the graded early warning strategy corresponding to the reservoir according to the relationship between the water level parameters and the multi-level early warning indicators.

Description

Technical Field

[0001] This application relates to the field of reservoir management technology, specifically to a method for determining water level classification and early warning strategies. Background Technology

[0002] As the core water source for urban water supply, the water quantity of reservoirs is directly related to water supply security. In practical applications, the early warning indicators for reservoir water levels in related technologies do not differentiate between various risk levels, leading to either excessive or insufficient response measures. These problems result in inaccurate early warnings and untimely responses when reservoir water supply is insufficient, thus affecting water supply security. Summary of the Invention

[0003] This application provides a method for determining water level graded early warning strategies, aiming to solve the problem of using a single water level threshold or empirical value for early warning in related technologies.

[0004] This application provides a method for determining a water level classification and early warning strategy, applied to a water supply reservoir, the method comprising:

[0005] Obtain the water level attribute parameters of the reservoir, the water demand data of the target area where the reservoir is located, and the engineering data of the reservoir;

[0006] Based on the water level attribute parameters, the water demand data, and the engineering data, a multi-level early warning index for the reservoir is determined; the multi-level early warning index includes a first early warning water level parameter, a second early warning water level parameter, and a third early warning water level parameter; the value of the first early warning water level parameter is greater than the value of the second early warning water level parameter; the value of the second early warning water level parameter is greater than the value of the third early warning water level parameter;

[0007] Monitor the water level parameters of the reservoir;

[0008] Based on the relationship between the water level parameters and the multi-level early warning indicators, a graded early warning strategy corresponding to the reservoir is determined.

[0009] In the embodiments of this application, by acquiring the water level attribute parameters of the reservoir, the water demand data of the target area, and the engineering data of the reservoir, a multi-level early warning index including the first early warning water level, the second early warning water level, and the third early warning water level parameters is determined. The reservoir water level parameters are monitored, and a graded early warning strategy is determined based on the relationship between the water level parameters and the multi-level early warning indexes. This can achieve graded and accurate early warning and targeted response for insufficient water supply from the reservoir, thereby improving the technical problems in related technologies that use a single water level threshold or empirical value for early warning, without fully combining reservoir characteristics, water demand, and engineering scheduling rules, resulting in weak targeting of early warning indicators, poor emergency response coordination, and failure to distinguish different risk levels. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating a method for determining a water level classification and early warning strategy provided in an embodiment of this application;

[0012] Figure 2 This is another flowchart illustrating the water level classification and early warning strategy determination method provided in the embodiments of this application;

[0013] Figure 3 This is a schematic diagram of the main control sections of a river basin provided in an embodiment of this application;

[0014] Figure 4 This is a schematic diagram of a hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0016] The existing early warning indicators in related technologies suffer from three major shortcomings: First, they fail to differentiate between different risk levels, such as "routine scheduling gaps," "critical activation of backup water sources," and "failure of water intake capacity," leading to either excessive or insufficient response measures. Second, they do not link with the scheduling priority of upstream water replenishment projects, failing to achieve a closed-loop connection between "early warning-water transfer-emergency response." For example, XX Reservoir, as the core water source for a certain area of ​​a city, has its early warnings based solely on fixed water levels, without considering the water use priority of the core area, resulting in delayed water transfer responses during droughts. Third, the early warning indicators are mostly static, failing to consider monthly water inflow differences. Therefore, there is an urgent need for a dynamic, tiered early warning indicator determination method that combines reservoir characteristics, water demand, and engineering scheduling to improve the accuracy of emergency water supply security.

[0017] like Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for determining a water level classification and early warning strategy provided in an embodiment of this application. The method is applied to a water supply reservoir and includes:

[0018] Step 101: Obtain the water level attribute parameters of the reservoir, the water demand data of the target area where the reservoir is located, and the engineering data of the reservoir.

[0019] The reservoir can be a town water supply reservoir. Water level attribute parameters can be parameters characterizing the relationship between reservoir water level and capacity, as well as parameters representing the basic operational characteristics of the reservoir. For example, water level attribute parameters can include curve data of the relationship between water level and capacity, dead water level, normal storage water level, and the highest water intake level of the water plant. Water demand data can be various basic data related to water use within the target area where the reservoir is located. The target area can be a water supply zone. For example, water demand data can include the current or planned population of the water supply zone, water use index data, the water plant's designed water supply capacity, and the daily water consumption of the water supply zone. Engineering data can be data related to the reservoir's hydrological conditions and associated upstream water supply projects. Engineering data can include the reservoir's long-sequence monthly inflow, the upstream water replenishment project's long-sequence monthly inflow, and the priority of inter-reservoir scheduling.

[0020] Step 102: Determine the multi-level early warning indicators for the reservoir based on water level attribute parameters, water demand data, and engineering data; the multi-level early warning indicators include a first early warning water level parameter, a second early warning water level parameter, and a third early warning water level parameter; the value of the first early warning water level parameter is greater than the value of the second early warning water level parameter; the value of the second early warning water level parameter is greater than the value of the third early warning water level parameter.

[0021] The multi-level early warning indicators can be tiered water level parameters set according to different water supply risk scenarios. These indicators can include a set of tiered water level parameters set according to the progressive logic of water supply risks, such as a first warning water level parameter, a second warning water level parameter, and a third warning water level parameter. Specifically, the first warning water level parameter can be the first-level warning water level (daily dispatch water level) corresponding to the first-level warning indicator; the second warning water level parameter can be the second-level warning water level (critical warning water level) corresponding to the second-level warning indicator; and the third warning water level parameter can be the third-level warning water level (water intake guarantee water level) corresponding to the third-level warning indicator.

[0022] Specifically, due to differences in water level attribute parameters among different reservoirs—for example, the normal storage water level and the curve data of the relationship between water level and storage capacity differ among different reservoirs; water demand data for different target areas will also vary due to differences in population size, industrial structure, and water use standards; and engineering data corresponding to different reservoirs will also differ due to differences in hydrological basin characteristics and water replenishment project configurations. Therefore, the warning water level parameters at each level derived from the differentiated water level attribute parameters, water demand data, and engineering data will also be different.

[0023] It should be noted that the critical thresholds of the warning water levels at each level can be determined based on water level attribute parameters, water demand data, and engineering data. This ensures that the first warning water level parameter corresponds to the activation condition of routine scheduling intervention, the second warning water level parameter corresponds to the critical state of switching to backup water sources, and the third warning water level parameter corresponds to the trigger node of mandatory water conservation control. Furthermore, the three levels form a progressive risk hierarchy.

[0024] In some embodiments, the water level attribute parameters include the water storage level parameters; the method further includes: obtaining the effective storage capacity ratio parameter of the reservoir; the effective storage capacity ratio parameter is the ratio of the effective storage capacity of the reservoir to the total storage capacity of the reservoir;

[0025] The first warning water level parameter is determined based on the effective reservoir capacity ratio parameter and the water level parameter.

[0026] Among these parameters, the water level parameter represents the normal water level, which characterizes the reservoir's water storage status. The effective storage capacity ratio parameter reflects the proportion of the reservoir's effective water storage capacity relative to its total water storage capacity. Effective storage capacity refers to the storage capacity between the normal water level and the dead water level, i.e., the storage capacity available for normal water supply scheduling, also known as beneficial storage capacity, working storage capacity, or regulating storage capacity. Total storage capacity refers to the total water storage volume of the reservoir at the check flood level. The effective storage capacity ratio parameter is calculated as the ratio of the reservoir's effective storage capacity to its total storage capacity.

[0027] Specifically, different reservoirs can select corresponding adjustment coefficients based on the varying effective storage capacity ratio parameters. The value of the adjustment coefficient can be set according to the actual situation, generally ranging from 0.95 to 1.00. The process of determining the first warning water level parameter based on the effective storage capacity ratio parameter and the water level parameter can include multiplying the water level parameter by the adjustment coefficient to obtain the first warning water level parameter. The selection of the adjustment coefficient can be positively correlated with the effective storage capacity ratio parameter; that is, the larger the effective storage capacity ratio parameter, the closer the adjustment coefficient can be to 1, making the first warning water level parameter more closely match the normal water level. Conversely, the smaller the effective storage capacity ratio parameter, the smaller the adjustment coefficient can be, to ensure the main water demand.

[0028] As an example, the minimum control water level for ensuring daily water use in the core area can be determined based on the reservoir's beneficial operation and scheduling regulations. The determination process is shown in the formula: Level 1 warning water level = normal storage water level × adjustment coefficient. The adjustment coefficient for different reservoirs can be adjusted according to the proportion of beneficial storage capacity, which is generally between 0.95 and 1.00.

[0029] In the embodiments of this application, by obtaining the effective storage capacity ratio parameter of the reservoir, and clarifying that the effective storage capacity ratio parameter is the ratio of the effective storage capacity to the total storage capacity, and combining the effective storage capacity ratio parameter with the water level parameter to jointly determine the first warning water level parameter, the first warning water level parameter can be accurately matched with the actual water storage capacity of the reservoir. This improves the technical problem in related technologies where the first warning water level parameter only relies on a single water level parameter or empirical value, without considering the effective water storage capacity ratio of the reservoir, resulting in poor adaptability and insufficient targeting of the warning indicators to the actual water supply scheduling needs of the reservoir.

[0030] In some embodiments, the water level attribute parameters include a first water intake level parameter and curve data showing the relationship between water level and reservoir capacity; the water demand data includes population data and water use index data for the target area; the engineering data also includes a first inflow data sequence from the reservoir and a water replenishment data sequence from the upstream canal corresponding to the reservoir; the method further includes:

[0031] Based on population data and water consumption index data, determine the total water demand parameters for the preset time period;

[0032] Determine the dry season water volume parameters within a preset time period based on the first water inflow data sequence;

[0033] Determine the target water replenishment volume parameters within a preset time period based on the water replenishment data sequence;

[0034] Based on the dry season water volume parameters and the target water replenishment parameters, the target water volume parameters for the preset time period are determined.

[0035] The second reservoir capacity parameter is determined based on the first reservoir capacity parameter, total water demand parameter, and target inflow parameter corresponding to the first water intake parameter;

[0036] Based on the curve data of the relationship between water level and reservoir capacity, and the second reservoir capacity parameter, the second warning water level parameter of the reservoir is determined.

[0037] The population data can be statistical data on the population of the target area where the reservoir is located, including the current or planned population of each water supply zone. The water consumption index data can be the daily water consumption standard per unit population, including the current or planned water consumption index values. The total water demand parameter can be the total water consumption of the target area within a preset time period. The preset time period can be set according to the actual water supply guarantee needs. For example, the preset time period can be 15 days, and the total water demand parameter can be the total water demand for 15 days.

[0038] In this embodiment, the process of determining the total water demand parameter within a preset time period based on population data and water consumption index data may include: calculating the total water demand parameter within the preset time period by multiplying the population size by the water consumption index and then by the number of days in the preset time period, based on the population data and water consumption index data of the target area. As an example, the formula for calculating the total water demand parameter is: Total water demand for 15 days = Daily water consumption of water supply zone × 15. Wherein, the daily water consumption of the water supply zone is calculated by multiplying the current or planned population by the water consumption index data.

[0039] The first inflow data sequence can be a long-term monthly inflow data of the reservoir, used to characterize the monthly inflow statistics of the reservoir over many years, reflecting the inflow patterns of the reservoir at different times. The low-water inflow parameter can be the total inflow of the reservoir under low-water conditions within a preset time period. For example, the low-water inflow parameter can be the low-water inflow on the 15th. In this embodiment, the process of determining the low-water inflow parameter within the preset time period based on the first inflow data sequence can include: performing frequency analysis on the monthly inflow over many years based on the first inflow data sequence of the reservoir to determine the inflow under low-water conditions in a certain month, and then obtaining the low-water inflow parameter within the preset time period based on the inflow under low-water conditions in that month. The frequency analysis standard can be the monthly inflow corresponding to the low-water year with P=95%. It should be noted that the inflow under low-water conditions in different months can be different, and the corresponding low-water inflow parameter within the preset time period will also be different.

[0040] The water replenishment data sequence can be a long-term monthly water replenishment volume of the upstream water replenishment project, used to characterize the monthly water replenishment statistics of the upstream canal corresponding to the reservoir over many years, reflecting the water replenishment capacity of the upstream canal. The target water replenishment volume parameter can be the total amount of water replenishment that the upstream canal can provide to the reservoir within a preset time period. For example, the target water replenishment volume parameter can be the water replenishment volume of the upstream water replenishment project on the 15th. In this embodiment, the process of determining the target water replenishment volume parameter within the preset time period based on the water replenishment data sequence can include: calculating the target water replenishment volume parameter within the preset time period based on the water replenishment data sequence of the upstream canal and the year corresponding to the dry season. If the water replenishment data sequence does not cover the year corresponding to the dry season, the ratio of the multi-year average water replenishment volume to the multi-year average inflow volume can be used, combined with the inflow volume of the upstream canal under the dry season, for calculation.

[0041] The target inflow parameter can be the total inflow that the reservoir can obtain within a preset time period, including the low-water inflow and upstream replenishment. For example, the target inflow parameter can be the inflow over 15 days under extreme conditions. The process of determining the target inflow parameter within the preset time period based on the low-water inflow parameter and the target replenishment parameter can include adding the low-water inflow parameter to the target replenishment parameter to obtain the target inflow parameter within the preset time period. As an example, the formula for calculating the target inflow parameter is: 15-day inflow under extreme conditions = 15-day low-water inflow + 15-day upstream replenishment.

[0042] The first water intake level parameter can be the highest water intake level of the water plant, used to characterize the highest water level at which the water plant can stably draw water. If the reservoir supplies water to multiple water plants, the water plant corresponding to the highest water intake level among all receiving water plants can be selected first, and then the highest water intake level of that water plant can be defined as the highest water intake level for the entire reservoir. The first reservoir capacity parameter can be the reservoir storage volume corresponding to the first water intake level parameter; for example, the first reservoir capacity parameter can be the reservoir capacity corresponding to the highest water intake level of the water plant. The second reservoir capacity parameter can be the critical storage volume required to ensure water demand within a preset time period; for example, the second reservoir capacity parameter can be the critical reservoir capacity. The second warning water level parameter can be the water level value corresponding to the second reservoir capacity parameter. When the reservoir water level drops to the value of the second warning water level parameter, relevant response measures for switching to a backup water source need to be activated. In this embodiment, the process of determining the second reservoir capacity parameter based on the first reservoir capacity parameter corresponding to the first water intake parameter, the total water demand parameter, and the target inflow parameter may include: finding the first reservoir capacity parameter corresponding to the first water intake parameter through the curve data of the relationship between water level and reservoir capacity, and then calculating the second reservoir capacity parameter by adding the total water demand parameter to the first reservoir capacity parameter and subtracting the target inflow parameter.

[0043] The curve data representing the relationship between water level and reservoir capacity can be a dataset characterizing the correlation between reservoir water level and corresponding storage capacity. The process of determining the second warning water level parameter for a reservoir based on the curve data and the second reservoir capacity parameter can include: finding the water level corresponding to the critical reservoir capacity using the curve data, which is the second warning water level parameter.

[0044] In some embodiments, if the calculated value of the second warning water level parameter is greater than the value of the first warning water level parameter, the value of the first warning water level parameter can be increased so that the value of the first warning water level parameter is greater than the value of the second warning water level parameter.

[0045] In the embodiments of this application, by combining water level attribute parameters, water demand data, and engineering data, the total water demand parameter, the dry season inflow parameter, the target water replenishment parameter, the target inflow parameter, and the second reservoir capacity parameter are calculated sequentially. Finally, the second warning water level parameter is determined based on the curve data of the relationship between water level and reservoir capacity. This can achieve accurate matching between the second warning water level parameter and the reservoir inflow characteristics, water demand, and upstream water replenishment capacity. This improves the technical problem in related technologies where the second warning water level parameter is set using static indicators or empirical values, without fully considering the differences in inflow, water demand, and upstream water replenishment within a preset time period, resulting in weak targeting of the warning indicator and untimely activation of backup water sources.

[0046] In some embodiments, determining the low-water inflow parameters within a preset time period based on a first inflow data sequence includes:

[0047] Frequency analysis of the first water inflow data sequence based on natural months yields the water inflow parameter for each natural month corresponding to the target guarantee rate; the target guarantee rate is the probability of a year in which the water inflow data for a natural month is greater than or equal to the preset water inflow parameter.

[0048] Based on the water inflow parameters for the first month, determine the dry season water inflow parameters for the preset time period.

[0049] In this context, a calendar month can be any month in the Gregorian calendar, from January to December, with the number of days in each month determined based on the actual calendar. Frequency analysis involves using statistical methods to sort and analyze water data from multiple years within a given calendar month to determine the corresponding water inflow under different guarantee rates. The target guarantee rate is the probability of a year in which the water inflow data for a given calendar month is greater than or equal to a preset water inflow parameter. For example, the target guarantee rate can be denoted as P, and its value can be set based on water supply security requirements and regional hydrological characteristics; for instance, the target guarantee rate could be 95%. The first month's water inflow parameter is the water inflow value corresponding to a given calendar month under the target guarantee rate condition. The preset water inflow parameter is a reference water inflow value used to define a specific guarantee rate, which can be determined based on the criteria for defining dry season conditions; for example, the preset water inflow parameter could be the first month's water inflow parameter.

[0050] Specifically, the first water inflow data sequence can be organized, and the water data over many years can be classified by calendar month to ensure that there is sufficient sample data for each calendar month to support frequency analysis. Then, frequency analysis is performed on the water inflow data for each calendar month. Through steps such as sorting and calculating cumulative frequency, the first month's water inflow parameter corresponding to the target guarantee rate is determined. For example, the target guarantee rate can be set to 95%, meaning that the probability of a year in which the water inflow data for that calendar month is greater than or equal to the first month's water inflow parameter is 95%, corresponding to the dry season water inflow for that calendar month. Finally, based on the ratio of the preset time period length to the number of days in a calendar month, the first month's water inflow parameter is converted to obtain the dry season water inflow parameter within the preset time period. If the preset time period is 15 days and a calendar month is calculated as 30 days, the dry season water inflow parameter can be half of the first month's water inflow parameter. As an example, the frequency of water discharge from the reservoir over many years can be calculated on a monthly basis. The formula for calculating the dry season water volume parameter is: dry season water volume on the 15th = monthly water volume under the condition of P=95% for each month / 2. Wherein, the dry season condition of P=95% for each month may correspond to different years.

[0051] In the embodiments of this application, frequency analysis is performed on the first inflow data sequence based on natural months to obtain the first monthly inflow parameters corresponding to the target guarantee rate for each natural month. Then, based on the first monthly inflow parameters, the low-water inflow parameters within a preset time period are determined. This can achieve accurate matching between the low-water inflow parameters and the inflow characteristics of the reservoir in different natural months. This improves the technical problem in related technologies that do not consider the differences in monthly inflows and only use a uniform standard to estimate the low-water inflow, resulting in a large deviation between the low-water inflow parameters and the actual inflow situation, which in turn affects the scientificity and pertinence of the second warning water level parameters.

[0052] In some embodiments, frequency analysis is performed on the first inflow data sequence based on the natural month to obtain the first monthly inflow parameters corresponding to the target guarantee rate for each natural month, including:

[0053] Based on the hydrological analogy method, the flow data of the reference hydrological station is adjusted by combining the ratio of the drainage area of ​​the reservoir to that of the reference hydrological station and the ratio of the multi-year average precipitation of the area above the dam site of the reservoir to that above the site of the reference hydrological station, so as to obtain the multi-year average flow data of the reservoir.

[0054] Based on the frequency analysis of the first inflow data sequence for each natural month, and combined with the reservoir's multi-year average flow data, the inflow parameter for the first month corresponding to the target guarantee rate is obtained. The target guarantee rate is the probability of a year in which the inflow data for a natural month is greater than or equal to the preset inflow parameter. The inflow parameter for the first month is the dry season inflow for each natural month corresponding to the target guarantee rate.

[0055] Specifically, considering that some reservoirs lack measured long-term runoff data and cannot directly obtain a baseline for basic inflow capacity, a reference hydrological station with complete measured flow data is selected based on the hydrological analogy method. Its flow data is used as the baseline for relocation. At the same time, the flow data of the reference hydrological station is double-relocated and corrected by combining the ratio of the catchment area of ​​the reservoir and the reference hydrological station (correcting for differences in runoff generation area) and the ratio of the multi-year average precipitation of the area above the reservoir dam site and the area above the reference hydrological station site (correcting for differences in regional precipitation conditions). Finally, the multi-year average flow data of the reservoir that can truly reflect the basic inflow level of the reservoir is obtained.

[0056] As an example, the formula for calculating the multi-year average flow data of a reservoir can be: Q 水库 =Q 水文站 ×F 水库 / F 水文站 ×P 水库 / P 水文站 Among them, Q 水库 Q 水文站 : These are the flow rates of XX Reservoir and ZZ River Hydrological Station, respectively (m³). 3 / s); F 水库 F 水文站 : These represent the controlled drainage area of ​​XX Reservoir (31km²) 2 ) and the drainage area of ​​the ZZ River hydrological station (207 km²) 2 ); P 水库 P 水文站 : These are the multi-year average precipitation in the area above the dam site and the multi-year average precipitation in the area above the ZZ River hydrological station site, respectively, with values ​​of 1141.5 mm and 1226.2 mm.

[0057] Specifically, the process involves collecting the first inflow data sequence of the reservoir (long-series monthly inflow data). Using the existing multi-year average flow data of the reservoir as a reference, the first inflow data sequence is analyzed by calendar month. Specifically, for each calendar month, years in which the inflow data meets the preset inflow parameter are selected from the historical inflow data. The probability of these years is calculated and matched to a target guarantee rate, thus locking in the corresponding monthly inflow data under that guarantee rate. This data is the dry season inflow for each calendar month corresponding to the target guarantee rate (the first month's inflow parameter). This monthly frequency analysis method effectively adapts to the differences in inflow characteristics across different calendar months, ensuring that the dry season inflow parameter for each month closely matches the actual inflow pattern for that month, avoiding estimation errors due to general analysis.

[0058] In the embodiments of this application, the problem of quantifying the basic inflow capacity of reservoirs lacking measured long-series runoff data is effectively solved by combining the hydrological analogy method with the dual correction of the proportion of watershed area and the proportion of multi-year average precipitation, ensuring the accuracy of the reservoir's multi-year average flow data. At the same time, using this basic flow data as a reference, the dry season inflow of each natural month is accurately locked by monthly frequency analysis and combined with the clear judgment criteria of the target guarantee rate, so that the inflow parameters of the first month not only meet the definition of dry season conditions, but also adapt to the monthly inflow difference characteristics.

[0059] In some embodiments, the engineering data further includes a second inflow data sequence from the upstream canal; determining the target water replenishment volume parameter within a preset time period based on the water replenishment data sequence includes:

[0060] Determine the water replenishment amount parameter for the first month corresponding to the target guarantee rate for each natural month based on the water replenishment data sequence;

[0061] Based on the water replenishment parameters for the first month, determine the target water replenishment parameters for the preset time period.

[0062] In the absence of the first month's water replenishment parameter in the water replenishment data sequence, the average water replenishment parameter of the upstream canal is determined based on the water replenishment data sequence.

[0063] Based on the second inflow data sequence, determine the average inflow parameters of the upstream canal and the second-month inflow parameters corresponding to the target guarantee rate for each natural month;

[0064] The target water replenishment parameters for the preset time period are determined based on the average water replenishment parameters, the average inflow parameters, and the inflow parameters for the second month.

[0065] The second inflow data series can be a long-term monthly inflow sequence of the upstream water supply project, representing a set of statistical data on inflow recorded by calendar month over many years for the upstream canal, reflecting the inflow capacity of the upstream canal in different calendar months. The first month's replenishment parameter can be the replenishment volume of the upstream canal to the reservoir corresponding to a specific calendar month under the target guarantee rate condition. The average replenishment parameter can be the multi-year average replenishment volume of the upstream canal to the reservoir for a specific calendar month. The average inflow parameter can be the multi-year average inflow volume of the upstream canal for a specific calendar month. The second month's inflow parameter can be the inflow volume of the upstream canal corresponding to a specific calendar month under the target guarantee rate condition.

[0066] Specifically, the water replenishment data sequence and the second inflow water data sequence can be obtained from the engineering data. For each calendar month, based on the water replenishment data sequence, the same frequency analysis method used to determine the inflow water parameter for the first month is applied to determine the water replenishment water parameter for that calendar month corresponding to the target guarantee rate. If the water replenishment water parameter for the first month exists in the water replenishment data sequence, that is, if the water replenishment water sequence covers the year corresponding to the target guarantee rate, then the water replenishment water parameter for the first month is converted according to the ratio between the preset time period and the number of days in the calendar month to obtain the target water replenishment water parameter within the preset time period. For example, if the preset time period is 15 days and the calendar month is counted as 30 days, the value of the water replenishment water parameter for the first month can be divided by 2.

[0067] If the water replenishment data sequence does not contain the water replenishment parameter for the first month, meaning the water replenishment data sequence does not cover the year corresponding to the target guarantee rate, then first, the average water replenishment parameter of the upstream canal supplying the reservoir for that natural month is calculated based on the water replenishment data sequence. Then, based on the second inflow data sequence, the average inflow parameter for that natural month and the inflow parameter for the second month corresponding to the target guarantee rate are calculated. The ratio coefficient of water replenishment to inflow is obtained by dividing the average water replenishment parameter by the average inflow parameter. This ratio coefficient is multiplied by the inflow parameter for the second month to obtain the water replenishment for that natural month under the target guarantee rate condition. Finally, the target water replenishment parameter for the preset time period is obtained by converting it according to the ratio of the preset time period to the number of days in the natural month.

[0068] As an example, the formula for calculating the target water replenishment volume parameter can be: Water replenishment volume of the upstream water replenishment project on the 15th = Monthly water replenishment volume of the upstream water replenishment project in the corresponding year under the condition of monthly inflow with P=95% / 2. As another example, if the year of upstream water replenishment does not cover the year of monthly inflow with P=95%, the formula for calculating the target water replenishment volume parameter can be: Water replenishment volume of the upstream water replenishment project on the 15th = Multi-year average water replenishment volume of the upstream water replenishment project to the reservoir in that month / Multi-year average inflow volume of the upstream project in that month × Monthly inflow volume of the upstream project under the condition of P=95% / 2.

[0069] In the embodiments of this application, by determining the first month's water replenishment parameters based on the water replenishment data sequence and converting them into target water replenishment parameters, and when the water replenishment data sequence does not include the first month's water replenishment parameters, the target water replenishment parameters are calculated by combining the average water replenishment parameters, the average inflow parameters, and the second month's inflow parameters. This can achieve accurate matching between the target water replenishment parameters and the actual water replenishment capacity, inflow characteristics, and data coverage of the upstream canal. This improves the technical problem in related technologies where the coverage difference between water replenishment data and inflow data is not considered, and the target water replenishment is estimated using only a single method, resulting in a large deviation between the target water replenishment parameters and the actual water replenishment situation, which in turn affects the accuracy of the calculation of the second warning water level parameters and the pertinence of the warning.

[0070] Step 103: Monitor the water level parameters of the reservoir.

[0071] Among these technologies, water level monitoring equipment or systems can be used to continuously monitor the water level parameters of the reservoir and keep track of changes in the water level in real time.

[0072] Step 104: Determine the corresponding graded early warning strategy for the reservoir based on the relationship between water level parameters and multi-level early warning indicators.

[0073] The tiered early warning strategy can be a set of targeted emergency response measures formulated based on the correspondence between reservoir water levels and multi-level early warning indicators. Specifically, the corresponding tiered early warning strategy can be determined based on the magnitude relationship between the monitored water level parameters and the multi-level early warning indicators. That is, when the water level drops to the first early warning water level parameter, the response measures related to routine water diversion and replenishment are activated; when the water level drops to the second early warning water level parameter, the response measures related to switching to backup water sources are activated; and when the water level drops to the third early warning water level parameter, the response measures related to mandatory water conservation control are activated.

[0074] In some embodiments, the engineering data includes cross-reservoir scheduling priorities; based on the magnitude relationship between water level parameters and multi-level early warning indicators, a tiered early warning strategy corresponding to the reservoir is determined, including:

[0075] If the value of the water level parameter is less than or equal to the value of the first warning water level parameter, the warning strategy is determined to trigger the upstream water channel corresponding to the reservoir to perform upstream water replenishment project to the reservoir according to the cross-reservoir scheduling priority.

[0076] The cross-reservoir scheduling priority can be a pre-defined rule for the order of water replenishment for different reservoirs and their corresponding water supply areas, used to clarify the priority of water supply allocation for upstream water replenishment projects. Upstream water channels can be water conservancy facilities connected to reservoirs that provide them with replenishment water. Upstream water replenishment projects can be related water conservancy projects and scheduling operations that transport replenishment water to reservoirs via upstream water channels. The first warning water level parameter can be the minimum control water level used to ensure daily water use in the core area.

[0077] Specifically, when determining the tiered early warning strategy for a reservoir, it is first necessary to ensure that the engineering data includes cross-reservoir scheduling priorities. These priorities can be set based on factors such as the importance of the water supply area, the urgency of water demand, and the reservoir's water supply function, clearly defining the order in which different reservoirs and their corresponding water supply areas receive upstream water replenishment. The monitored water level parameters are compared with a pre-determined first early warning water level parameter. When the water level parameter is less than or equal to the first early warning water level parameter, it indicates that the reservoir water level has dropped to a critical state requiring the initiation of routine water replenishment. The corresponding early warning strategy at this time is to trigger the upstream canal corresponding to the reservoir, executing upstream water replenishment to the reservoir according to the preset cross-reservoir scheduling priority. This orderly water replenishment maintains the reservoir water level, ensuring that core water demand is not affected.

[0078] In the embodiments of this application, when the value of the water level parameter is less than or equal to the value of the first warning water level parameter, the upstream water channel corresponding to the reservoir is triggered to perform upstream water replenishment project to the reservoir according to the cross-reservoir scheduling priority. This can achieve orderly and precise scheduling of upstream water replenishment project, ensure that the water demand of the core area is guaranteed first, and improve the technical problem in related technologies where the warning is not linked to the scheduling priority of upstream water replenishment project, resulting in delayed water transfer response, insufficient water supply guarantee, and inability to achieve effective connection of "early warning-water transfer-emergency".

[0079] In some embodiments, a tiered early warning strategy for the reservoir is determined based on the magnitude relationship between water level parameters and multi-level early warning indicators, including:

[0080] If the value of the water level parameter is less than or equal to the value of the second warning water level parameter, the warning strategy is to switch the reservoir to the backup water source.

[0081] Specifically, when the reservoir water level drops to the value of the second warning water level parameter, the current inflow cannot meet the water demand within the preset time period. The backup water source can be a pre-planned alternative water source to supplement the water supply, in addition to the reservoir's regular water supply source, including other reservoirs, canals, groundwater, etc.

[0082] Specifically, the monitored water level parameters are compared and analyzed with the pre-calculated second warning water level parameters. When the value of the water level parameter is less than or equal to the value of the second warning water level parameter, it indicates that the current water inflow of the reservoir, combined with the upstream water replenishment, is still insufficient to meet the water demand within the preset time period. At this time, the corresponding warning strategy is to switch the reservoir's regular water supply source to the backup water source. By supplementing the water supply through the backup water source, the water supply stability of the target area is ensured.

[0083] In the embodiments of this application, when the value of the water level parameter is less than or equal to the value of the second warning water level parameter, the warning strategy is determined to switch the reservoir to the backup water source. This can achieve timely and accurate activation of the backup water source, ensuring that the water demand of the target area is stably guaranteed within a preset time period. This improves the technical problem in related technologies where the critical water level for the activation of the backup water source is not accurately defined, resulting in delayed or premature activation of the backup water source, which in turn affects the stability of water supply or causes water waste.

[0084] In some embodiments, the method further includes:

[0085] The first water level parameter was determined as the third warning water level parameter.

[0086] Specifically, when the reservoir water level is lower than the value of the first water intake level parameter, the water intake capacity of the water intake pipeline may decrease. The third warning water level parameter can be the water level value corresponding to the highest risk level among the multi-level warning indicators. When the reservoir water level drops to the third warning water level parameter, it is necessary to activate the relevant response measures for mandatory water conservation control.

[0087] Specifically, when determining the third warning water level parameter, considering that the first water intake level parameter is directly related to the water plant's water intake capacity, when the reservoir water level is lower than the value of the first water intake level parameter, the water intake pipeline can no longer maintain a stable water intake efficiency, leading to a substantial decrease in the water plant's water supply capacity. In this case, the highest level of emergency response needs to be activated. Therefore, there is no need to design additional complex calculation logic; the first water intake level parameter can be directly determined as the third warning water level parameter. This ensures the scientific validity of the third warning water level parameter and simplifies the process of determining multi-level warning indicators, making the construction of the warning system more efficient.

[0088] In the embodiments of this application, by determining the first water intake level parameter as the third warning water level parameter, the third warning water level parameter can be directly bound to the actual water intake capacity of the water plant, ensuring that the third warning water level parameter can accurately reflect the critical state of water intake capacity failure. This improves the technical problem in related technologies where the third warning water level parameter lacks a clear setting basis, is out of touch with the actual water intake needs of the water plant, and leads to inappropriate timing of the activation of mandatory water conservation control measures, making it impossible to respond in a timely manner to the risk of declining water intake capacity.

[0089] In some embodiments, a tiered early warning strategy for the reservoir is determined based on the magnitude relationship between water level parameters and multi-level early warning indicators, including:

[0090] If the value of the water level parameter is less than or equal to the value of the third warning water level parameter, the warning strategy is determined to be to reduce the water intake of the reservoir according to the preset scenario water use priority.

[0091] The preset scenario-based water use priorities can be pre-defined rules for the water-saving order of different water use scenarios, used to clarify the logic of water withdrawal reduction. Reducing water withdrawal can be a targeted reduction of water withdrawal quotas for different water use scenarios based on their priority. Specifically, preset scenario-based water use priorities can be defined, based on factors such as the importance of the water use scenario and its relevance to people's livelihoods, prioritizing key water use for people's livelihoods before considering other water use scenarios. Water level parameters of the reservoir are continuously acquired through water level monitoring equipment and compared with the third warning water level parameter. When the water level parameter value is less than or equal to the third warning water level parameter value, it indicates that the reservoir's water withdrawal capacity has decreased, requiring the activation of the highest level of water-saving control measures. Water withdrawal is gradually reduced according to the preset scenario-based water use priorities to ensure that limited water resources prioritize meeting core water use needs.

[0092] In the embodiments of this application, when the value of the water level parameter is less than or equal to the third warning water level parameter, the water intake of the reservoir is reduced according to the preset scenario water use priority. This can achieve the orderliness and targeting of water intake reduction, ensure that the key water use for people's livelihood is guaranteed, and thus improve the technical problem in related technologies where water intake is blindly reduced without a clear water use priority, resulting in chaotic water conservation order and failure to guarantee the core water use needs.

[0093] In some embodiments, the method further includes:

[0094] The system collects updated water level attribute parameters, updated water demand data, and updated engineering data according to a preset cycle.

[0095] Based on updated water level attribute parameters, updated water demand data, and updated engineering data, multi-level early warning indicators were redefined.

[0096] The preset period can be a pre-defined time interval for updating data and adjusting early warning indicators. The length of the preset period can be determined based on factors such as reservoir operation, frequency of water demand changes, and hydrological condition fluctuations. Updated water level attribute parameters can be the latest parameters representing the relationship between reservoir water level and capacity, as well as the basic operational characteristics of the reservoir, obtained within the preset period. These include updated curve data of the water level-capacity relationship, adjusted normal storage levels, and corrected maximum water intake levels for water treatment plants. Updated water demand data can be the latest water-related data for the target area within the preset period, including the current or planned population of newly added water supply zones, adjusted water consumption indicators, and updated design water supply capacity for water treatment plants. Updated engineering data can be the latest data related to reservoir hydrological conditions and associated upstream water supply projects within the preset period, including the replenished monthly inflow of the reservoir, updated monthly replenishment and inflow of upstream water replenishment projects, and adjusted cross-reservoir scheduling priorities. The multi-level early warning indicators can be graded water level parameters recalculated based on updated data, including the first early warning water level parameter, the second early warning water level parameter, and the third early warning water level parameter.

[0097] Specifically, during long-term operation, reservoir water level parameters may change due to factors such as reservoir siltation and engineering maintenance, water demand data may fluctuate with regional population growth and industrial restructuring, and engineering data may be updated due to changes in hydrological conditions and the optimization and upgrading of water replenishment projects. To ensure that multi-level early warning indicators always reflect actual conditions, it is necessary to systematically collect the aforementioned updated data according to a preset cycle to guarantee the timeliness and accuracy of the data. After collection, following the logic used in the aforementioned embodiments for determining multi-level early warning indicators, and combining the updated water level parameters, water demand data, and engineering data, new multi-level early warning indicators are recalculated. This enables dynamic optimization and adjustment of the early warning indicators, avoiding the problem of decreased relevance caused by indicators remaining fixed for a long time.

[0098] In the embodiments of this application, by collecting and updating water level attribute parameters, water demand data, and engineering data according to a preset cycle, and redetermining multi-level early warning indicators based on these updated core data, dynamic optimization and adjustment of multi-level early warning indicators can be achieved. This ensures that the early warning indicators are always accurately matched with the actual operating status of the reservoir, the water demand of the target area, and engineering conditions. This improves the technical problem in related technologies where early warning indicators are mostly statically set, unable to adapt to long-term changes in water level attributes, water demand, and engineering data, resulting in a gradual decrease in the pertinence of early warnings, poor coordination of emergency response, and difficulty in continuously ensuring water supply security.

[0099] The following describes the water level early warning strategy determination method provided in the embodiments of this application, such as... Figure 2 As shown, Figure 2 This is another flowchart illustrating the water level classification and early warning strategy determination method provided in this application embodiment. As an example, the water level early warning strategy determination method can be a method for determining dynamic classification and early warning indicators for insufficient water supply from a reservoir.

[0100] For reservoir water sources, and in accordance with emergency water supply standards and inter-reservoir dispatch priorities, early warnings for water supply events are categorized into multi-level early warning indicators. Specifically, these multi-level early warning indicators are three levels, and the inter-reservoir dispatch priority is defined by the dispatch priority requirements of upstream water channels (e.g., the YY channel). Priority is given to ensuring water supply through the YY channel, followed by activating backup water sources, and finally implementing industry-wide water conservation and water consumption reduction measures. Specifically, the first-level early warning indicator corresponds to the first early warning water level parameter, which is the daily dispatch water level. When the water level drops to this level, priority is given to releasing water through the YY channel. The second-level early warning indicator corresponds to the second early warning water level parameter, which is the water level at which the water plant's highest intake level is reached 15 days after the lowest possible water level in any reservoir, assuming the water level drops to its lowest point, combined with the lowest possible water inflow from the YY channel. Based on water demand data for each water use zone, curves showing the relationship between water level and capacity in each reservoir, the lowest possible inflow from reservoirs overlaid with the inflow from the YY Canal, and real-time water level data, the predicted water level drop under the lowest possible conditions within 15 days can be calculated. This, combined with the water plant's highest intake level, allows for the derivation of the second warning water level parameter. When the water level drops to this level, a backup water source is activated based on the YY Canal's water supply schedule. The third warning water level parameter corresponds to a third-level warning indicator, specifically the water plant's highest intake level among certain water level attribute parameters. When the water level drops to this level, further water conservation measures are implemented across the industry, and water consumption is reduced. The YY Canal's water release, activation of the backup water source, and industry-wide water conservation measures are collectively referred to as emergency response measures.

[0101] As an example, a step-by-step judgment is made based on the curve data of water demand in different zones, the relationship between water level and reservoir capacity, the lowest inflow conditions, and real-time water level conditions. The first judgment condition is that the water level drops to the daily dispatch level. When the first water level condition is triggered, i.e., the water level drops to the daily dispatch level, the response measure is to release water from the YY canal, i.e., to replenish water to the reservoir from an external water diversion channel. If the situation develops, the second judgment condition is that the water level drops to the predicted water level drop value within N days (e.g., 15 days) plus the highest water intake level of a certain water plant. When the second water level condition is triggered, i.e., the water level drops to the critical warning level, the response measure is upgraded to activating the backup water source, which means switching the affected water supply area to other independent water sources. If the situation continues to deteriorate, the third judgment condition is that the water level drops to the highest water intake level of a certain water plant. When the third water level condition is triggered, i.e., the water level drops to the highest water intake level of the water plant, the strictest measures must be taken, i.e., to carry out water conservation in the industry, and to reduce non-essential water consumption in the order of industry, commerce and public services to ensure basic livelihood.

[0102] like Figure 3 As shown, Figure 3The diagram shows the main control sections of a river basin provided in this application embodiment. It should be noted that the section is a dedicated collection point for reservoir hydrological data. Each key reservoir corresponds to a fixed control section. Data such as reservoir water level and inflow can be continuously obtained through the section, providing a basis for quantifying the reservoir's operational status.

[0103] Based on the water supply and water conservation planning documents for a specific area of ​​a city, the current water supply situation, current water consumption indicators, planned population, and planned water consumption indicator values ​​of each water-using zone in that area can be determined. This allows for the estimation of current and planned water demand for each water-using zone within the city. Combining the current water supply of each water plant, the current and planned coverage population of each water plant of a certain scale can be estimated. The current water plants can basically cover the water consumption of the current population. With the planning and construction of new water plants, the long-term planned annual water supply capacity will exceed the water demand, resulting in a surplus water supply, which is beneficial to socio-economic development.

[0104] As an example, the runoff data from the LL hydrological station was shifted using the hydrological analogy method for the XX Reservoir, and corrected using the basin's multi-year average precipitation. The calculated monthly dry season inflow for the XX Reservoir under P=95% conditions is shown in Table 1 below. Table 1 illustrates the monthly dry season inflow for the XX Reservoir under P=95% conditions; see the second column of Table 1 for details. In addition to natural inflow, the XX Reservoir also receives water from the YY Canal. The multi-year average inflow from the upstream of the YY Canal is 158.94 million m³. 3 The inflow volume with P=95% is 125.22 million m³. 3 The average annual water supply from the YY Canal to the XX Reservoir in recent years is 107,026,700 cubic meters. 3 Based on the dry season water flow of the YY Canal (P=95%), the calculated water diversion volume of the YY Canal in a dry season (P=95%) is approximately 84.32 million m³. 3 Based on the natural inflow of XX Reservoir and the water diversion volume of YY Canal, the total inflow of XX Reservoir under the condition of low water natural inflow (P=95%) can be calculated.

[0105] Table 1

[0106]

[0107] Based on the current situation, the water diversion order rules for the YY Canal when it is short of water are as follows: water diversion from the YY Canal will prioritize the first zone (e.g., the core urban area) with the highest water demand priority, followed by the second zone with a relatively high water demand priority, and finally the third zone with a relatively low water demand priority; reservoir scheduling will prioritize the first reservoir with the largest water supply capacity (e.g., XX Reservoir), followed by the second reservoir with a relatively large water supply capacity, and finally the third reservoir with a relatively small water supply capacity, prioritizing residential water use and then ensuring basic production water use.

[0108] Water supply events from reservoirs are categorized into three levels, with water level indicators as the primary indicator. The first-level warning indicator is the daily scheduled water level. The second-level warning indicator is calculated as follows: based on the highest water intake level and the water level-reservoir capacity curve, the reservoir capacity corresponding to the highest water intake level is obtained. This is then subtracted from the inflow during a 15-day dry season, and the water consumption during that 15-day period is added. The water level corresponding to the calculated reservoir capacity is then found using the water level-reservoir capacity curve; this is the second-level warning indicator. The third-level warning indicator is the highest water intake level of the water plant. The minimum and maximum water intake levels of the reservoir water plant are determined based on the water resources assessment reports of each water plant.

[0109] As an example, under normal circumstances, the XX Reservoir is maintained at a water level of no less than 192.0m throughout the year. If the water volume is insufficient and the water level falls below 192.0m (the first-level warning indicator), the first-level response measures will be activated, prioritizing the YY Canal for flood control. Following the YY Canal water diversion sequence, priority will be given to increasing water supply to the XX Reservoir, ensuring water supply to the core urban water plants. The reservoir's water level will be continuously monitored to ensure it remains above the critical level of 192.0m.

[0110] Currently, there are three conventional water plants that draw water from XX Reservoir: MM Water Plant, NN Water Plant, and PP Water Plant. The plan is to add QQ Water Plant annually. The current daily water supply capacity of these three plants is 320,000 m³. 3 / d, totaling approximately 4.8 million m³ of water supplied over 15 days. 3 / d. According to relevant plans, all water plants will supply water according to their designed capacity in the planned year, with a planned daily water supply of 560,000 m³. 3 / d, totaling approximately 8.4 million m³ of water supplied over 15 days. 3 / d. The highest water intake level in both the current year and the planned year is 186.2m at the PP water plant. Based on the reservoir capacity corresponding to the highest water intake level, the lowest inflow, and water usage, the critical capacity index of XX Reservoir can be calculated. According to the water level and reservoir capacity curve, the second-level early warning index (critical early warning water level) of XX Reservoir can be further obtained.

[0111] When the water level of XX Reservoir reaches the critical warning level corresponding to the second-level warning indicator each month, the PP Water Plant supplying the second zone may first face water shortage problems. At this time, the second-level response measures will be activated, and the backup water source will be started. Under the current circumstances, MM Water Plant and NN Water Plant will switch to the backup water source of the canal for water intake, and PP Water Plant will simultaneously start emergency water supply to divert water supply pressure from XX Reservoir. In the planning year, in addition to the above measures, QQ Water Plant will use the backup water source to further reduce the water supply load of XX Reservoir. It should be noted that the second-level warning indicator in the planning year is higher than the current regular scheduling water level. It is recommended to raise the daily scheduling water level to 194.0m in the planning year.

[0112] The third-level warning indicator for XX Reservoir is the highest water intake level of PP Water Plant, which is 186.2m. When the water level drops to this level, considering the lack of water available for adjustment in the YY Canal, the water supply capacity of PP Water Plant's XX Reservoir begins to decline substantially. At this time, water conservation and reduction measures should be implemented in the industry, prioritizing industrial use, followed by commercial use, and then public services: large industrial water users should reduce their water intake by 30%-40%, commercial water users by 20%-30%, and unnecessary landscaping water use and redundant water use for public facilities should be shut down. Simultaneously, a report should be submitted to the municipal government, a water conservation notice should be issued, residents should be guided to reduce unnecessary water use, and priority should be given to ensuring water supply for key livelihood units.

[0113] Verification was conducted using a case study of a prolonged drought in a certain city during a specific year: At a certain moment, the water level of Reservoir XX dropped to 188.0m (close to the secondary warning indicator of 187.63m). Following this application, the canal's backup water source was activated, and the YY canal's water supply was increased, ensuring uninterrupted water supply to the core area. In contrast, in related technologies, when the warning indicator (185m) was triggered, the backup water source switching was delayed by 3 days, resulting in insufficient water pressure in some areas. The comparison shows that this application improves the warning response efficiency by 60% and the accuracy of backup water source activation by 80%.

[0114] This application is able to achieve precise classification: it distinguishes three types of risk scenarios, avoiding the shortcomings of traditional indicators that are "one-size-fits-all"; it has strong linkage: it embeds the scheduling rules of upstream water replenishment projects to achieve a "early warning-water transfer" closed loop; and it has high universality: by adjusting the basic parameters, it is applicable to reservoirs of different sizes and with different water supply ranges.

[0115] To implement the method of the embodiments of this application, Figure 4 A schematic diagram of a hardware structure of an electronic device provided in an embodiment of this application, such as... Figure 4 As shown, this application embodiment also provides an electronic device 40 that may include: a memory 401 for storing a computer program; and a processor 402 for implementing the method described above when executing the computer program. The processor 402 can implement the steps of any of the methods described above, which will not be repeated here.

[0116] Of course, in practical applications, such as Figure 4 As shown, the electronic device 40 may further include at least one network interface 403. Various components in the electronic device are coupled together via a bus system 404. It is understood that the bus system 404 is used to implement communication between these components. In addition to a data bus, the bus system 404 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 4Various buses are labeled as bus systems 404. The number of processors 402 can be at least one. Network interface 403 is used for wired or wireless communication between electronic devices and other devices. Memory 401 in this embodiment is used to store various types of data to support the operation of the electronic device. The methods disclosed in the above embodiments can be applied to processor 402, or implemented by processor 402. Processor 402 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 402 or by instructions in software form. The processor 402 can be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 402 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. A general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly reflected as the combined execution of hardware and software modules in a microcontroller. The software module can reside in a storage medium located in memory 401. Processor 402 reads information from memory 401 and, in conjunction with its hardware, completes the steps of the aforementioned method. In an exemplary embodiment, electronic device 40 can be implemented by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers (MCUs), microprocessors, or other electronic components to execute the aforementioned method.

[0117] Specifically, embodiments of this application provide a computer-readable storage medium storing a computer program thereon, such as a memory 401 storing the computer program, which can be executed by a processor 402 to complete the aforementioned method steps. The computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disc, or CD-ROM.

[0118] In addition, each functional unit in the various embodiments of this application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0119] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0120] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, or the parts that contribute to related technologies, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0121] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for determining a water level classification and early warning strategy, characterized in that, The method, applied to a water supply reservoir, includes: Obtain the water level attribute parameters of the reservoir, the water demand data of the target area where the reservoir is located, and the engineering data of the reservoir; Based on the water level attribute parameters, the water demand data, and the engineering data, a multi-level early warning index for the reservoir is determined; the multi-level early warning index includes a first early warning water level parameter, a second early warning water level parameter, and a third early warning water level parameter; the value of the first early warning water level parameter is greater than the value of the second early warning water level parameter; the value of the second early warning water level parameter is greater than the value of the third early warning water level parameter; Monitor the water level parameters of the reservoir; Based on the relationship between the water level parameters and the multi-level early warning indicators, the corresponding graded early warning strategy for the reservoir is determined; The water level attribute parameters include water storage level parameters, first water intake level parameters, and curve data showing the relationship between water level and reservoir capacity; the water demand data includes population data and water use index data for the target area; the engineering data includes the first inflow data sequence of the reservoir and the water replenishment data sequence of the upstream canal corresponding to the reservoir; the method further includes: Obtain the effective storage capacity ratio parameter of the reservoir; the effective storage capacity ratio parameter is the ratio of the effective storage capacity of the reservoir to the total storage capacity of the reservoir; The first warning water level parameter is determined based on the effective reservoir capacity ratio parameter and the water level parameter. Based on the population data and the water consumption index data, determine the total water demand parameters within the preset time period; Based on the first water inflow data sequence, determine the low-water inflow parameters within the preset time period; The target water replenishment amount parameter within the preset time period is determined based on the water replenishment data sequence; Based on the low water inflow parameters and the target water replenishment parameters, the target inflow parameters within the preset time period are determined. The second reservoir capacity parameter is determined based on the first reservoir capacity parameter corresponding to the first water level parameter, the total water demand parameter, and the target inflow parameter; Based on the curve data of the relationship between water level and reservoir capacity and the second reservoir capacity parameter, the second early warning water level parameter of the reservoir is determined; The first water level parameter is determined as the third warning water level parameter.

2. The method according to claim 1, characterized in that, The engineering data includes cross-reservoir scheduling priorities; the step of determining the graded early warning strategy corresponding to the reservoir based on the magnitude relationship between the water level parameters and the multi-level early warning indicators includes: If the value of the water level parameter is less than or equal to the value of the first warning water level parameter, the warning strategy is determined to trigger the upstream water channel corresponding to the reservoir to perform an upstream water replenishment project to the reservoir according to the cross-reservoir scheduling priority.

3. The method according to claim 1, characterized in that, The step of determining the dry season water volume parameters within the preset time period based on the first water inflow data sequence includes: Frequency analysis is performed on the first water inflow data sequence based on natural months to obtain the water inflow parameter of the first month corresponding to the target guarantee rate for each natural month; the target guarantee rate is the probability of a year in which the water inflow data of the natural month is greater than or equal to the preset water inflow parameter. Based on the water inflow parameters of the first month, determine the dry season water inflow parameters for the preset time period.

4. The method according to claim 3, characterized in that, The engineering data also includes a second inflow data sequence from the upstream canal; determining the target water replenishment parameters within the preset time period based on the water replenishment data sequence includes: Based on the water replenishment data sequence, determine the water replenishment amount parameter for the first month corresponding to the target guarantee rate for each natural month; Based on the water replenishment parameters of the first month, the target water replenishment parameters for the preset time period are determined; If the water replenishment amount parameter for the first month is not present in the water replenishment data sequence, the average water replenishment amount parameter of the upstream canal is determined based on the water replenishment data sequence. Based on the second inflow data sequence, determine the average inflow parameter of the upstream canal and the inflow parameter of the second month corresponding to the target guarantee rate for each natural month; The target water replenishment parameter for the preset time period is determined based on the average water replenishment parameter, the average inflow parameter, and the inflow parameter for the second month.

5. The method according to claim 3 or 4, characterized in that, The step of determining the graded early warning strategy corresponding to the reservoir based on the magnitude relationship between the water level parameters and the multi-level early warning indicators includes: If the value of the water level parameter is less than or equal to the value of the second warning water level parameter, the warning strategy is determined to be to switch the reservoir to a backup water source.

6. The method according to claim 1, characterized in that, The step of determining the graded early warning strategy corresponding to the reservoir based on the magnitude relationship between the water level parameters and the multi-level early warning indicators includes: If the value of the water level parameter is less than or equal to the value of the third warning water level parameter, the warning strategy is determined to be to reduce the water intake of the reservoir according to the preset scenario water use priority.

7. The method according to claim 1, characterized in that, The method further includes: The updated water level attribute parameters, updated water demand data, and updated engineering data are collected and updated according to a preset cycle. Based on the updated water level attribute parameters, the updated water demand data, and the updated engineering data, the multi-level early warning indicators are redefined.

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