A river management plan generation method, device, equipment and medium

Abstract

This invention discloses a method for generating river management plans. The method includes: obtaining the total pollution reduction required for the pollution control of a target river based on management needs; obtaining information on the watersheds and regions of the target river; allocating the total pollution reduction to each sub-watershed according to a multi-objective allocation principle to obtain the annual reduction amount for each sub-watershed; obtaining the seasonal characteristics of each watershed and allocating the annual reduction amount of each watershed as a quarterly reduction amount based on the seasonal characteristics; obtaining the monthly characteristics of each watershed and dividing the quarterly reduction amount of each watershed to obtain the monthly reduction amount for each watershed; and determining the daily reduction amount for each watershed based on the monthly reduction amount and real-time detected early warning information. This invention can improve the flexibility and accuracy of river management projects.

Description

Technical Field

[0001] This invention relates to the field of watershed pollution control and water resource management technology, and in particular to a method, apparatus, equipment and medium for generating river management plans. Background Technology

[0002] Watershed pollution load allocation is a core technical means to achieve continuous improvement in water environmental quality, and it is widely used in scenarios such as water quality target management, total capacity control, and discharge permit limit verification in key watersheds. Watershed pollution load allocation plays an irreplaceable role in specific tasks such as assessing water quality compliance at monitoring sections and managing daily discharge restrictions.

[0003] Traditional watershed pollution load allocation methods primarily rely on single-time-scale optimization decisions. For example, existing pollution load allocation models often employ fixed annual or monthly timescales for optimization calculations. Allocating regional loads only at an annual or monthly scale is detrimental to refined pollution control management, leading to inefficient allocation and scheduling of engineering measures. Furthermore, when heavy rainfall events or water quality anomaly warnings occur, single-time-scale optimization models lack rapid response mechanisms and cannot adjust engineering control strategies at a daily planning scale. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and medium for generating river management plans, which can improve the flexibility and accuracy of river management projects.

[0005] According to one aspect of the present invention, an embodiment of the present invention provides a method for generating a river management plan, the method comprising: Based on the overall water quality requirements for river management, obtain the total amount of pollutant reduction for the target river pollution control, and obtain information on each basin and region obtained from the division of the target river; Based on the regional information of each watershed, and in accordance with the multi-objective allocation principle, the total amount of pollutant reduction for the target rivers is optimized and allocated to obtain the annual reduction amount for each watershed. The seasonal characteristics of each watershed are obtained, and the annual reduction amount of each watershed is divided according to the seasonal characteristics to obtain the seasonal reduction amount of each watershed. Obtain monthly rainfall forecasts, and divide the seasonal reduction amount of each watershed according to the monthly rainfall forecasts to obtain the monthly reduction amount of each watershed. Based on the monthly reduction amount and the real-time detected early warning information, the daily reduction amount for each of the watersheds is determined.

[0006] According to another aspect of the present invention, embodiments of the present invention also provide a river management plan generation apparatus, the apparatus comprising: The information acquisition module is used to acquire the total amount of pollutant reduction for the target river pollution control based on the overall water quality requirements of river management; and to acquire information on the watersheds and regions of the target river. The annual reduction determination module is used to combine the regional information of each watershed and, based on the multi-objective allocation principle, divide the total amount of pollutant reduction for the target rivers to obtain the annual reduction amount for each watershed. The seasonal reduction determination module is used to obtain the seasonal characteristics of each watershed, divide the annual reduction of each watershed according to the seasonal characteristics, and obtain the seasonal reduction of each watershed. The monthly reduction determination module is used to obtain monthly rainfall forecasts, divide the seasonal reduction of each watershed according to the monthly rainfall forecasts, and obtain the monthly reduction of each watershed. The daily reduction determination module is used to determine the daily reduction amount for each of the watersheds based on the monthly reduction amount and the real-time detected early warning information.

[0007] According to another aspect of the present invention, embodiments of the present invention also provide a river management plan generation device, the river management plan generation device comprising: At least one processor; and A memory that is communicatively connected to at least one processor; wherein, The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to execute the river management plan generation method of any embodiment of the present invention.

[0008] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the river management plan generation method of any embodiment of the present invention.

[0009] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the river management plan generation method according to any embodiment of the present invention.

[0010] This invention addresses the problem of coarse pollution load allocation at a single fixed time scale, which fails to guide the dynamic scheduling of engineering measures, by establishing a multi-timescale target decomposition system of "year-quarter-month-day". The solution locks in the total pollutant reduction at the annual scale, ensuring overall controllability of the treatment direction; at the quarterly scale, it differentiates seasonal characteristics to avoid load mismatch caused by average allocation; at the monthly scale, it matches monthly plans based on monthly rainfall forecasts to control pollution flowing into rivers; and at the daily scale, it connects with real-time monitoring and early warning information to achieve rapid response and precise control under conditions of heavy rainfall or abnormal water quality. Through progressive refinement at the annual, quarterly, monthly, and daily levels, macro-level total control targets are transformed into daily executable operational instructions, improving the flexibility and accuracy of river management projects.

[0011] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention, 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 the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a flowchart of a river management plan generation method provided by an embodiment of the present invention; Figure 2 This is a flowchart of a river management plan generation method provided by an embodiment of the present invention; Figure 3 This is a structural diagram of a river management plan generation device according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a river management plan generation device provided in an embodiment of the present invention. Detailed Implementation

[0014] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0015] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention 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 the invention 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 a 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.

[0016] In the technical solutions of this invention, the acquisition, storage, and application of the target river basins and regional information of each basin are all in compliance with relevant laws and regulations and do not violate public order and good morals.

[0017] Figure 1 This is a flowchart illustrating a method for generating a river management plan, as provided in an embodiment of the present invention. This embodiment is applicable to situations where pollution control plans are formulated for target rivers. The method can be executed by a river management plan generation device, which can be implemented in hardware and / or software. This river management plan generation device can be configured in a server.

[0018] See Figure 1 The method for generating river management plans shown includes: S101. Based on the overall water quality requirements for river management, obtain the total amount of pollutant reduction for the target river pollution control; obtain the information on each basin and region obtained from the division of the target river.

[0019] The overall water quality requirement for river management can be the current water quality management requirement based on the standard water quality of the target river. The target river can be a river that requires pollution control. The total pollutant reduction target refers to the amount of pollution that needs to be reduced in the target river. The watershed can be the river region defined by the target river. Regional information can be information about the watershed area.

[0020] Based on the natural geographical features and river system distribution of the watershed, the target river is divided into multiple spatial units, resulting in various watersheds of the target river. In some embodiments, the regional information of the watershed may refer to the basic attribute information of each watershed.

[0021] For example, as shown in Table 1 below, the target river includes 6 watersheds, and the regional information includes: population, land area, gross domestic product (GDP), agricultural land area, urban construction land area, and water area within the region.

[0022] Table 1. Watershed Division and Regional Information for Implementation Cases The main sources of pollution in rivers include, but are not limited to: agricultural non-point source pollution, urban domestic pollution, industrial point source pollution, and pollution released from endogenous sediment.

[0023] Agricultural non-point source pollution refers to the pollution caused by fertilizers and manure entering water bodies through surface runoff or seepage during agricultural planting and livestock breeding activities.

[0024] Urban domestic pollution refers to pollution caused by sewage or catering wastewater entering rivers through sewage systems.

[0025] Industrial point source pollution refers to pollution caused by wastewater and sewage discharged from factories. Generally, in industrial point source pollution, factories have fixed wastewater discharge outlets, and wastewater discharge can be centrally monitored and controlled.

[0026] Endogenous sediment release pollution refers to the re-release of pollutants (such as phosphorus) that have been deposited on the riverbed for a long time into the water body through physical, chemical or biological processes, thus becoming a source of secondary pollution.

[0027] In some embodiments, total phosphorus (TP) can be used as a control indicator to calculate the total amount of pollutant reduction for the treatment of pollution in the target river.

[0028] For example, first calculate the annual total phosphorus pollution in the target river. The total annual total phosphorus entering the river at the monitoring section is approximately 14.91 t / a (tons / year). That is, the exogenous annual flux of total phosphorus into the target river is 14.91 t / a. According to monitoring data, the water area affected by sediment release near the river mouth is 3 km². 2 The daily phosphorus release rate is 1.45 mg / (m²) per square meter of sediment. 2 •d) That is, 1.45 mg / m² / day. Based on this, the annual endogenous release flux of total phosphorus in the target river is calculated to be 1.45 × 3 × 365 = 1588 kg / a ≈ 1.6 t / a. Therefore, the annual total phosphorus pollution in the target river is: 1.6 + 14.91 = 16.51 ≈ 16.5 t / a.

[0029] Next, the maximum annual total phosphorus pollution that the target river can withstand under the water quality target was obtained. Based on the Environmental Fluid Dynamics Code (EFDC) hydrodynamic-water quality coupled model, the water environmental capacity of the target river under the Class III water target was simulated and found to be approximately 8.6 t / a.

[0030] Finally, the total amount of pollutant reduction for the target river pollution control should be: 16.5 - 8.6 = 7.9 t / a.

[0031] S102. Combining the regional information of each watershed, and based on the multi-objective allocation principle, the total amount of pollutant reduction for the target rivers is divided to obtain the annual reduction amount for each watershed.

[0032] The multi-objective allocation principle can refer to the principle of allocating the total amount of pollutant reduction based on multiple dimensions of governance objectives. Annual reduction refers to the amount of pollution reduction in a given year. Understandably, the sum of the annual reductions for each river basin equals the total pollutant reduction for the target river.

[0033] Based on the regional information of each river basin, an appropriate allocation ratio is set for each river basin, and the total amount of pollutant reduction of the target river is allocated to each river basin to obtain the annual reduction amount of each river basin.

[0034] S103. Obtain the seasonal characteristics of each watershed, and divide the annual reduction of each watershed according to the seasonal characteristics to obtain the seasonal reduction of each watershed.

[0035] Among these, seasonal characteristics can refer to the seasonal variations in each watershed. Seasonal reduction can refer to the amount of pollution reduction in each quarter. Understandably, the sum of the quarterly reduction amounts for the four quarters of a watershed equals the annual reduction amount for that watershed.

[0036] By analyzing historical monitoring data and reports of the target rivers, the seasonal characteristics of each basin were obtained.

[0037] In an optional embodiment, obtaining the seasonal characteristics of each watershed and dividing the annual reduction amount of each watershed according to the seasonal characteristics to obtain the seasonal reduction amount of each watershed includes: obtaining the seasonal pollution characteristics of each watershed and determining the seasonal pollution coefficient of each watershed in each season; obtaining the seasonal treatment characteristics of each watershed and determining the seasonal treatment coefficient of each watershed in each season; and dividing the annual reduction amount of each watershed according to the seasonal pollution coefficient and the seasonal treatment coefficient to obtain the seasonal reduction amount of each watershed.

[0038] Among these, seasonal pollution characteristics can refer to the characteristics of pollution levels in a watershed that vary with the seasons. Seasonal pollution coefficients can be pollution proportion coefficients for each season obtained based on seasonal pollution characteristics. Seasonal governance characteristics can refer to the characteristics of watershed governance that vary with the seasons. Seasonal governance coefficients can be governance seasonal adaptability coefficients for each season obtained based on seasonal governance characteristics.

[0039] Understandably, the amount of pollutants flowing into rivers varies with seasonal rainfall. Therefore, the pollution level in a watershed exhibits seasonal characteristics. Pollution control measures can be implemented in several ways, such as preserving or artificially constructing strips of vegetation composed of trees, shrubs, and grasses at the river-land interface. This measure can intercept particulate pollutants such as sediment and phosphorus from slope runoff and also absorb dissolved nutrients from the water. Different control measures also exhibit seasonal characteristics. For example, a certain measure may be most effective in spring.

[0040] The seasonal pollution coefficient for each quarter can be determined based on the seasonal pollution characteristics.

[0041] In some embodiments, the average pollution levels of each sub-basin in the four seasons are analyzed based on long-term monitored historical hydrological and water quality data as seasonal pollution characteristics, and the seasonal pollution coefficient is calculated. The specific formula is as follows: in, Represents watershed In the season Seasonal pollution coefficient, Represents watershed In the season The average pollution level.

[0042] For example, seasonal pollution coefficients can be shown in Table 2.

[0043] Table 2 Seasonal pollution coefficients for each river basin in the implementation case. In some embodiments, river management measures include: low-impact development (LID), pipeline repair, tailrace wetlands, riverbed buffer zones, estuary pretreatment, sediment solidification, and tannin flocculation.

[0044] Non-point source LID refers to reducing runoff volume through methods such as infiltration, filtration, evaporation, and storage.

[0045] Pipeline repair refers to the inspection, dredging, leak sealing, replacement, or lining repair of urban drainage pipelines.

[0046] Wastewater effluent wetlands are artificial wetland systems installed between the effluent outlet of a wastewater treatment plant and the receiving river. Wastewater effluent wetlands utilize the synergistic physical, chemical, and biological effects of plants, microorganisms, and fillers to further purify wastewater that has already met discharge standards.

[0047] A river buffer zone is a strip of vegetation consisting of trees, shrubs, and grasses that is preserved or artificially constructed at the boundary between a river and land.

[0048] Estuary pretreatment refers to the construction of sedimentation ponds, oxidation ponds, ecological floating islands, or pre-treatment facilities in the estuary area where major tributaries flow into the main stream or lakes. Estuary pretreatment can take advantage of the relatively open water conditions of the estuary to allow some suspended solids and phosphorus in the upstream water to settle or react and be removed before entering the sensitive downstream water bodies.

[0049] Sediment solidification refers to injecting or mixing a solidifying agent into river and lake sediments. Through physicochemical reactions, the water in the sediment is absorbed, and toxic and harmful substances are fixed or encapsulated, forming a solid block with high strength.

[0050] Tannin flocculation refers to the process of adding tannins, natural plant extracts, into water bodies, allowing tannin molecules to complex, adsorb, and neutralize dissolved phosphorus, suspended particles, and phosphorus in the interstitial water of the sediment, forming larger flocs that settle down and cover the surface of the sediment to form a passivation film.

[0051] Different measures have different effects in different seasons. Based on the seasonal governance characteristics of each measure, a seasonal governance coefficient is determined.

[0052] In a specific embodiment, the seasonal governance coefficient can be calculated using the following formula: in, Indicates the various governance measures, Indicating governance measures In the season The actual processing capacity; Indicating governance measures Maximum processing capacity under optimal conditions. Indicating governance measures In the season The seasonal governance coefficient.

[0053] For example, the seasonal governance coefficient can be shown in Table 3.

[0054] Table 3 Seasonal governance coefficients for each governance measure in the implementation cases. Based on the seasonal pollution coefficient and the seasonal governance coefficient, the annual reduction amount of each watershed can be divided into different dimensions of governance measures to obtain the seasonal reduction amount of each watershed in each dimension of governance measures.

[0055] The specific formula is as follows: in, Represents watershed Adopt governance measures In the season The seasonal reduction. Represents watershed Adopt governance measures The annual reduction Indicates the seasonal pollution coefficient. This represents the seasonal governance coefficient.

[0056] The above formula will divide the watershed Adopt governance measures The annual reduction is multiplied by a normalized weighting coefficient obtained from the seasonal pollution coefficient and the seasonal treatment coefficient, and this is used as the standard value. This makes the watershed... Adopt governance measures In the season The seasonal reduction is close to this standard value, and the seasonal reduction of each watershed in each governance measure dimension is calculated.

[0057] The calculation process must adhere to the processing capacity constraints of each governance measure.

[0058] For example, the seasonal reductions in area source LID and pipeline repair in each watershed can be shown in Table 4.

[0059] Table 4. Seasonal water reduction in each river basin under various governance measures in the implementation cases. It is evident that dividing the annual reduction amount of each watershed by determining the seasonal pollution coefficient and seasonal governance coefficient based on seasonal pollution characteristics and seasonal governance characteristics can decompose the annual reduction amount from both the seasonality of pollution and the seasonality of governance measures. This avoids the problem of time-period control imbalance caused by uniformly distributing the reduction amount, takes into account the temporal variation of regional natural pollution output and the ability to implement pollution control measures in different time periods, and improves the rationality and practicality of watershed pollution control and governance plans.

[0060] S104. Obtain monthly rainfall forecast, and divide the seasonal reduction amount of each watershed according to the monthly rainfall forecast to obtain the monthly reduction amount of each watershed.

[0061] Among these, monthly rainfall forecasts can be used to predict the rainfall amount for each month of the coming year. Monthly reduction can refer to the amount of pollution reduced each month.

[0062] To reflect the impact of meteorological factors on river pollution, a meteorological influence coefficient is determined based on monthly rainfall forecasts. The specific formula is as follows: in, Indicates the first The meteorological impact coefficient for a given month. Indicates the first Monthly rainfall forecast for the next month. for The average rainfall in a month over several historical years.

[0063] For example, the monthly meteorological impact coefficients can be shown in Table 5 below. In Table 5, the meteorological impact coefficients (hereinafter referred to as impact coefficients) are rounded off.

[0064] Table 5 Monthly Rainfall Forecast and Multi-Year Monthly Average Based on the meteorological impact coefficient, the seasonal water loss in each watershed is divided to obtain the monthly water loss for each watershed. The monthly water loss for each watershed can be obtained by using the following formula: in, Indicates the first Monthly meteorological impact coefficient Indicating governance measures In the Monthly operating cost coefficient. Represents watershed Adopt governance measures In the Monthly quarterly reduction.

[0065] In an optional embodiment, obtaining the monthly rainfall forecast and dividing the seasonal reduction of each watershed according to the monthly rainfall forecast to obtain the monthly reduction of each watershed includes: obtaining the monthly rainfall forecast; dividing the seasonal reduction of the target river according to the monthly rainfall forecast to obtain the monthly reduction of the target river in each month; calculating the water quality compliance probability of the monthly reduction of the target river in each month; correcting the monthly reduction of the target river in each month according to the water quality compliance probability; and determining the monthly reduction of each watershed according to the monthly rainfall forecast and the corrected monthly reduction of the target river in each month.

[0066] Among them, the probability of water quality meeting standards can be a prediction of the likelihood of water quality meeting standards.

[0067] First, we can sum the seasonal reduction amounts of all watersheds to obtain the total seasonal reduction amount for each season, which is also the seasonal reduction amount for the target river. Then, we can divide the seasonal reduction amount for the target river into monthly reduction amounts. The monthly reduction amount for the target river must meet the requirement that the probability of water quality compliance is greater than a probability threshold. In other words, the monthly reduction amount should have a high probability of ensuring that the water quality meets the standards for that month. Finally, we can divide the monthly reduction amount for each watershed into monthly reduction amounts for each watershed.

[0068] For example, taking summer as an example, the seasonal reduction in summer is 3448 kg. The monthly impact can be calculated by multiplying the meteorological impact coefficient by the number of days in June, July, and August. Then, the proportion of each month's impact to the total monthly impact is calculated, and this proportion is used as the impact weight to divide the seasonal reduction of the target river in summer, thus obtaining the monthly reduction of the target river in June, July, and August.

[0069] Specifically, as shown in Table 6 below.

[0070] Table 6. Distribution of meteorological impact coefficients by seasonal reduction amount The monthly reduction amount should ensure that the probability of water quality meeting standards is not lower than the set threshold. The specific formula is as follows: Among them, C k express Pollutant concentrations at the target river control sections at the end of the month. C s This indicates the water quality standard concentration limit, expressed in mg / L. P target This represents the probability of achieving the target, typically ranging from [0.8, 0.95]. Using a probability distribution approximation method, the above probabilistic constraint is transformed into a deterministic equivalent constraint, as shown in the following formula: in, Indicates the first Average monthly pollutant concentration, mg / L; Indicates the first Standard deviation of monthly pollutant concentration, mg / L; Let P( be the inverse cumulative distribution function of the standard normal distribution. The condition for the preset probability of water quality compliance is: P( ) ≤ 0.05) ≥ 0.90, which can be equivalent to ≤0.05.

[0071] Based on the monthly reductions in the target river in June, July, and August, we examine whether the probability of meeting water quality standards is met in each month.

[0072] Taking August as an example: Based on the EFDC model simulation, the monthly reduction in the target river in August. Under the given kg condition, the probability distribution parameters of TP concentration in the control sections of the target river basin in August are: ≈0.055mg / L, ≈0.006 mg / L. Substituting the deterministic equivalence constraint: +1.282 =0.055 + 1.282 × 0.006 = 0.063, 0.063 > 0.05 Therefore, it can be concluded that the monthly reduction amount in August for the target river is insufficient to meet the requirements for water quality compliance, and the monthly reduction amount in August needs to be increased.

[0073] Based on the correlation between pollution amount and concentration in the EFDC model, an additional reduction of approximately 140 kg is needed to lower the average TP concentration across the entire watershed by 0.01 mg / L in August. This requires reducing the equivalent concentration from 0.063 mg / L to 0.05 mg / L, corresponding to an additional reduction of: 0.063 - 0.05 = 0.013 × 140 / 0.01 ≈ 182 kg. The revised target river's monthly reduction in August is 1190.94 + 182 = 1372.94 kg.

[0074] Similarly, the monthly reduction amounts for each target month are adjusted. For summer, the adjusted monthly reduction amounts for each target river month are shown in Table 7 below.

[0075] Table 7. Revised monthly shedding of the target river in summer. Next, for each watershed, the monthly reduction amount of the target river is divided into monthly reduction amounts for each watershed. It can be understood that, for each month, the sum of the monthly reduction amounts of all watersheds equals the monthly reduction amount of the target river. For example, the monthly reduction amounts for each watershed can be shown in Table 8 below, where Table 8 shows the reduction amounts of some of the governance measures.

[0076] Table 8 Monthly Reduction Amount of Non-point Source LID and Pipeline Repair in Each Watershed (Summer) / (kg) As can be seen, by first allocating monthly reduction amounts to the target rivers based on monthly rainfall forecasts, and then correcting the monthly reduction amounts of the target rivers based on the probability of water quality compliance, the monthly reduction amounts of each watershed are determined based on the monthly rainfall forecasts and the corrected monthly reduction amounts of the target rivers. This makes the monthly reduction amounts of each watershed more accurate, as they are planned based on more reasonable monthly reduction amounts of the target rivers.

[0077] S105. Based on the monthly reduction amount and the real-time detected early warning information, determine the daily reduction amount for each of the watersheds.

[0078] Warning information can refer to information on sudden emergency events. Warning information may include: warnings for heavy rain events and warnings for abnormal water quality.

[0079] In some embodiments, rainstorm warning information is divided into multiple levels as shown in Table 9 below: Table 9 Emergency Level Classification Specifically, if the current heavy rainfall reaches the corresponding warning level in terms of 24-hour rainfall or runoff increase, it will be designated as a heavy rainfall event warning of the corresponding level. For example, if the 24-hour rainfall exceeds 50, but the runoff increase does not exceed 15, it will still be designated as a blue warning.

[0080] In an optional embodiment, determining the daily reduction amount for each watershed based on the monthly reduction amount and the early warning information includes: dividing the monthly reduction amount into an average of the number of days in the month to obtain the basic daily reduction amount for each watershed; and adjusting the basic daily reduction amount for each watershed when an early warning information is received to obtain the emergency daily reduction amount.

[0081] The basic daily reduction amount can be the daily reduction amount when there are no sudden emergency events. The emergency daily reduction amount can be the daily reduction amount after adjustments based on the early warning information.

[0082] When a sudden emergency event triggers an early warning, the basic daily reduction amount is adjusted based on the warning information to ensure that the adjusted daily reduction amount can meet the emergency response needs.

[0083] In a specific embodiment, assuming a predicted rainfall of 180mm on August 12th, triggering a yellow alert, the system invokes a pre-set emergency dispatch strategy library to determine the emergency adjustment amounts for each governance measure based on the emergency level. in, Represents watershed Adopt governance measures Emergency daily reduction amount on day d. Represents watershed Adopt governance measures The daily reduction based on day d. Represents watershed Adopt governance measures The emergency adjustment amount is τ, where τ is the emergency level. τ = 1, 2, 3 correspond to blue alert, yellow alert, and red alert, respectively.

[0084] In some embodiments, the emergency adjustment amounts for each governance measure may be as shown in Table 10: Table 10 Examples of Emergency Adjustment Quantities for Various Governance Measures During Rainstorm Events When abnormal water quality data is detected at a monitoring section, a water quality anomaly warning is triggered, and water quality anomaly warning information is obtained.

[0085] In some embodiments, a warning threshold and an emergency threshold for water quality concentration are preset. An early warning is triggered when the monitored water quality concentration exceeds the warning threshold, and an emergency response is triggered when the monitored water quality concentration exceeds the emergency threshold. In one specific embodiment, the warning threshold is 0.10 mg / L, and the emergency threshold is 0.15 mg / L.

[0086] Among the various pollution control measures, they can be divided into two dimensions: external pollution source control and internal pollution source control. External pollution source control refers to pollution originating from land areas and flowing into rivers. Internal pollution source control refers to pollution released into rivers.

[0087] Treatment measures for external pollution sources include: non-point source pollution (LID), pipeline repair, tailwater wetlands, river buffer zones, and estuary pretreatment.

[0088] Treatment measures for internal pollution sources include: sediment solidification and tannin flocculation.

[0089] The handling of rainstorm event warnings mainly adopts measures from the perspective of controlling external pollution sources, while the handling of water quality anomaly warnings mainly adopts measures from the perspective of controlling internal pollution sources.

[0090] In one embodiment, when a water quality anomaly warning is triggered, the basic daily reduction amount is adjusted using the following method: in, This indicates the change in pollutant concentration. This is an emergency adjustment based on changes in pollutant concentration.

[0091] In some embodiments, in order to control the response costs to sudden emergencies, the emergency daily reduction amount can be determined from an economic perspective in the following manner to provide further reference. in: Represents watershed Adopt governance measures The emergency adjustment amount on day d, where D is the number of days the emergency dispatch lasts. Indicates the adoption of governance measures The unit cost of emergency dispatch.

[0092] It is evident that by adjusting the basic daily reduction amount based on the early warning information, the emergency daily reduction amount can be obtained. When a rainstorm event or water quality anomaly warning occurs, a rapid response can be made, and the engineering management operation strategy can be quickly adjusted on a daily planning scale, thereby improving the response speed of the plan.

[0093] This invention addresses the problem of coarse pollution load allocation at a single fixed time scale, which fails to guide the dynamic scheduling of engineering measures, by establishing a multi-timescale target decomposition system of "year-quarter-month-day". The solution locks in the total pollutant reduction at the annual scale, ensuring overall controllability of the treatment direction; at the quarterly scale, it differentiates seasonal characteristics to avoid load mismatch caused by average allocation; at the monthly scale, it matches monthly plans based on monthly rainfall forecasts to control pollution flowing into rivers; and at the daily scale, it connects with real-time monitoring and early warning information to achieve rapid response and precise control under conditions of heavy rainfall or abnormal water quality. Through progressive refinement at the annual, quarterly, monthly, and daily levels, macro-level total control targets are transformed into daily executable operational instructions, improving the flexibility and accuracy of river management projects.

[0094] Figure 2 This is a flowchart illustrating a method for generating a river management plan according to an embodiment of the present invention. Based on the above embodiments, this embodiment combines regional information of each watershed and, according to a multi-objective allocation principle, divides the total pollutant reduction amount of the target river to obtain the annual reduction amount of each watershed. The method is defined as follows: using the annual reduction amount of each watershed as an input variable; weighting and summing the annual reduction amounts of each watershed based on ecological contribution information in the regional information of each watershed to determine the ecological function of the target river; weighting and summing the annual reduction amounts of each watershed based on management cost information in the regional information of each watershed to determine the cost function of the target river; weighting and summing the annual reduction amounts of each watershed based on environmental attribute information in the regional information of each watershed to determine the environmental function of the target river; summing the ecological function, the cost function, and the environmental function to obtain the total pollutant reduction amount of the target river; and solving for the annual reduction amount of each watershed with the optimization objectives of increasing the output variable of the ecological function, decreasing the output variable of the cost function, and decreasing the output variable of the environmental function.

[0095] It should be noted that for parts not described in detail in the embodiments of the present invention, please refer to the descriptions in other embodiments.

[0096] See Figure 2 The method for generating river management plans shown includes: S201. Based on the overall water quality requirements for river management, obtain the total amount of pollutant reduction for the target river pollution control; obtain the information on each basin and region obtained from the division of the target river.

[0097] S202. Use the annual reduction amount of each watershed as an input variable.

[0098] The annual reduction amount forms the basis of the entire plan. The annual reduction amount can be determined using a multi-constraint solution method. This involves establishing multiple constraint equations and finding the optimal solution, with the annual reduction amount for each watershed serving as the input variable.

[0099] S203. Based on the ecological contribution information in the regional information of each watershed, the annual reduction of each watershed is weighted and summed to determine the ecological function of the target river.

[0100] Among these, ecological contribution information can be information about the ecological contribution of the watershed region. An ecological function can be a function that quantifies ecological contribution.

[0101] The ecological contribution coefficient of each watershed is determined based on the ecological contribution information, and an ecological function is established based on the ecological contribution coefficient.

[0102] The specific formula is as follows: in, Represents watershed Adopt governance measures Ecological contribution coefficient, Represents watershed Adopt governance measures The annual reduction. As an input variable.

[0103] S204. Based on the governance cost information in the regional information of each watershed, the annual reduction amount of each watershed is weighted and summed to determine the cost function of the target river.

[0104] Among these, the governance cost information can be information on the governance costs of the area where the watershed is located. The cost function can be a function that calculates the governance costs.

[0105] Based on the governance cost information, determine the unit reduction governance cost for each governance measure adopted in each watershed, and establish a cost function based on the unit reduction governance cost.

[0106] The specific formula is as follows: in, Represents watershed Adopt governance measures The unit reduction in governance costs.

[0107] S205. Based on the environmental attribute information in the regional information of each watershed, the annual reduction of each watershed is weighted and summed to determine the environmental function of the target river.

[0108] Among these, environmental attribute information can include information on the natural and human environment of the watershed area. Environmental functions can quantify the information regarding the ratio of environmental factors to attributes.

[0109] Understandably, the target river basins are located in different geographical locations, and their basin areas and populations vary. To ensure fair allocation of annual reduction amounts, more annual reduction amounts should be allocated to basins with larger populations and / or larger areas, while less annual reduction amounts should be allocated to basins with smaller populations and / or smaller areas.

[0110] The environmental Gini coefficient can be determined based on environmental attribute information, and it can be used to measure the fairness of the allocation of annual reduction among different watersheds.

[0111] The specific formula is as follows: Among them, G k (X) represents the single-indicator environmental Gini coefficient based on the k-th indicator.

[0112] Based on the governance cost information, determine the unit reduction governance cost for each governance measure adopted in each watershed, and establish a cost function based on the unit reduction governance cost.

[0113] S206. The total amount of pollutant reduction for the target river is obtained by summing the ecological function, the cost function, and the environmental function.

[0114] In the optimal allocation of pollution load in a watershed, three mutually constraining objectives typically need to be considered simultaneously: ecological benefits (i.e., the degree of water quality improvement), economic costs (i.e., the cost of treatment), and social equity (i.e., the degree of balance in the allocation of reduction amounts among different watersheds). These three objectives are quantified by ecological functions, cost functions, and environmental functions, respectively. Since these three functions often have different dimensions and trends—for example, ecological improvement requires increased reduction amounts while cost reduction requires decreased reduction amounts—they cannot be directly compared. Therefore, the technical solution uses a weighted summation method to merge the three independent functions into a single comprehensive objective function, and then derives the optimal total pollution reduction amount by solving for the minimum or maximum value of this function.

[0115] It should be noted that the comprehensive index obtained by summing the three functions is used as the optimization target. Through iterative calculation by the optimization algorithm, an optimal pollution reduction value is finally output.

[0116] S207. With the optimization objectives of increasing the output variable of the ecological function, decreasing the output variable of the cost function, and decreasing the output variable of the environmental function, the annual reduction amount of each watershed is calculated to obtain the annual reduction amount of each watershed.

[0117] Among these objectives, the ecological function aims to improve water quality; a larger output variable means more pollutants are removed from the water, resulting in a healthier aquatic ecosystem. The cost function aims for economic efficiency; a smaller output variable means less investment in remediation projects. The environmental function aims for equitable distribution; a smaller output variable means less imbalance in reduction targets across regions. However, these three objectives are inherently contradictory: increasing the output of the ecological function usually requires constructing more or larger-scale remediation projects, which increases the output of the cost function; forcibly reducing the output of the cost function may sacrifice remediation effectiveness or exacerbate distribution inequality. Therefore, the technical solution sets "increasing the ecological function, decreasing the cost function, and decreasing the environmental function" as common optimization objectives, and uses a multi-objective optimization algorithm to solve for the annual reduction amount in each watershed.

[0118] Under the premise of meeting water quality standards, from countless possible annual reduction allocation schemes, we will find a set of annual reduction values ​​that can make the three objectives approach the optimal value as much as possible at the same time, and use it as the pollution reduction task that each river basin should undertake in that year.

[0119] Optionally, the above multi-objective optimization problem can be solved using a weighted summation method based on the Pareto optimal solution set.

[0120] In an optional embodiment, the ecological contribution information includes: ecological contribution information for each governance dimension; the governance cost information includes: governance cost information for each governance dimension; the environmental attribute information includes: environmental attribute information for each governance dimension; the annual reduction amount for each watershed includes: the annual reduction amount for each watershed in each governance dimension; the governance dimensions include: external pollution source governance dimension and internal pollution source governance dimension.

[0121] In this context, the governance dimension can refer to the dimension of the governance measures taken. Each governance dimension corresponds to a different governance measure.

[0122] The governance dimensions specifically include two categories: external pollution source governance and internal pollution source governance. External pollution source governance refers to controlling pollution input from the land-based areas of the watershed, such as agricultural non-point sources, urban domestic pollution, and industrial point sources. Internal pollution source governance refers to controlling pollution from within the water body, such as sediment release and internal water circulation. Because external and internal pollution source governance differ fundamentally in their mechanisms of action, cost structure, environmental equity assessment, and project implementation cycles, annual reduction amounts are allocated based on these governance dimensions. For example, external pollution source governance typically involves infrastructure investment such as pipeline repair and wetland construction, with its ecological contribution reflected in reducing the load entering the river; while internal pollution source governance, such as sediment solidification or tannin flocculation, contributes ecologically by inhibiting phosphorus release from the sediment. These two types of governance cannot be evaluated and optimized using the same set of parameters. Therefore, ecological contribution information, governance cost information, environmental attribute information, and annual reduction amounts are defined and calculated separately for external and internal pollution source governance dimensions. This allows the optimization model to differentiate governance measures for different pollution sources, thereby achieving a more accurate allocation of annual reduction amounts.

[0123] It is evident that by defining and calculating ecological contribution information, governance cost information, environmental attribute information, and annual reduction amount separately according to the dimensions of external and internal governance, the optimization model can perform differentiated modeling for governance measures of different pollution sources, thereby achieving a more accurate allocation of annual reduction amounts.

[0124] In an optional embodiment, the method further includes: obtaining the actual daily amount of water treated on the current day, and calculating the daily difference between the actual daily amount and the daily reduction amount; for each month, accumulating the daily differences of each day included in the month to obtain the cumulative difference for the month; when the cumulative difference is greater than a difference threshold, adjusting the monthly reduction amount for the next month of the watershed; if the current month is the last month of the current quarter, calculating the monthly deviation between the actual monthly reduction amount of the target river and the monthly reduction amount of the target river; and adjusting the quarterly reduction amount for the next quarter of the current quarter of each watershed according to the monthly deviation.

[0125] Daily variance refers to the difference between the actual pollution reduction amount completed on a given day and the planned reduction amount for that day. A positive daily variance indicates over-fulfillment, while a negative daily variance indicates under-fulfillment. Daily variances are recorded independently without directly triggering adjustments, providing foundational data for subsequent accumulation. Accumulated variance is calculated for each month by algebraically summing all daily variances for that month. Accumulated variance reflects the net deviation between the overall performance and the overall plan for that month; a positive value indicates overall over-fulfillment, and a negative value indicates overall under-fulfillment. The variance threshold is a preset threshold that triggers adjustments to the monthly reduction amount. When the absolute value of the cumulative variance for a month exceeds the variance threshold, an adjustment to the monthly reduction amount for the following month for that watershed is triggered. The size of the variance threshold can be flexibly set according to the required governance precision. For example, it could be set to 5% of the total planned monthly amount.

[0126] Monthly deviation can be the calculated monthly difference between the actual monthly reduction of the target river and the planned monthly reduction. If the current month is the last month of the quarter, the monthly deviation of the current month can be understood as the quarterly deviation, and the monthly deviation of this month can be allocated to the next quarter.

[0127] Let's take the daily-to-month feedback mechanism as an example. In a non-point source pollution (LID) control project in a certain watershed, the plan is to achieve a certain amount of pollution reduction each day. Suppose that in the first twenty days of August, due to continuous rainfall, the treatment efficiency of the LID facilities decreases, and the actual daily reduction is less than the planned daily reduction. The daily differences are accumulated and recorded. By August 20, the accumulated difference exceeds a preset difference threshold, and the system triggers a monthly reduction adjustment, with the shortfall in August being made up in September.

[0128] Optionally, if the cumulative quarterly deviation poses a risk that the annual reduction target cannot be achieved, an early warning will be triggered, and the annual reduction amount for each river basin will be readjusted based on the remaining annual reduction amount. The cumulative quarterly deviation can be reflected in the monthly deviation of the last month of the quarter. For example, the cumulative quarterly deviation of the first quarter is reflected in the monthly deviation in March. The cumulative quarterly deviation of the first two quarters is reflected in the monthly deviation in June.

[0129] It is evident that by setting trigger conditions to adjust the reduction amount based on the difference between the actual implementation and the allocated reduction amount, control from short-term implementation feedback to medium-term plan adjustment is achieved, ensuring that governance tasks at each time scale can correct deviations, making the reduction plan more in line with the actual implementation, and making the reduction amount more precise.

[0130] S208. Obtain the seasonal characteristics of each watershed, and divide the annual reduction amount of each watershed according to the seasonal characteristics to obtain the seasonal reduction amount of each watershed.

[0131] S209. Obtain monthly rainfall forecast, and divide the seasonal reduction amount of each watershed according to the monthly rainfall forecast to obtain the monthly reduction amount of each watershed.

[0132] S210. Based on the monthly reduction amount and the real-time detected early warning information, determine the daily reduction amount for each of the watersheds.

[0133] The technical solution of this invention constructs an ecological function, a cost function, and an environmental function, and uses the maximization of the former and the minimization of the latter two as optimization objectives to solve for the annual reduction amount in each watershed. It can simultaneously take into account the water quality improvement effect, the economic input of governance, and the fairness of regional allocation within the same mathematical framework, avoiding the serious imbalance of other dimensions caused by focusing on a single objective. The output annual reduction amount scheme achieves comprehensive optimization in the three dimensions of ecological benefits, economic costs, and fairness, thus improving the comprehensiveness of the allocation of annual pollution reduction amount in watersheds.

[0134] Figure 3 This is a schematic diagram of a river management plan generation device provided in an embodiment of the present invention. This embodiment of the present invention is applicable to situations where pollution management plans are formulated for target rivers. The device can execute a river management plan generation method and can be implemented in hardware and / or software.

[0135] See Figure 3 The river management plan generation device shown includes: The information acquisition module 301 is used to acquire the total amount of pollutant reduction for the pollution control of the target river based on the overall water quality requirements of river management; and to acquire information on the watersheds and regions of the target river. The annual reduction determination module 302 is used to combine the regional information of each watershed and, based on the multi-objective allocation principle, divide the total amount of pollutant reduction of the target river to obtain the annual reduction amount of each watershed. The seasonal reduction determination module 303 is used to obtain the seasonal characteristics of each watershed, divide the annual reduction of each watershed according to the seasonal characteristics, and obtain the seasonal reduction of each watershed. The monthly reduction amount determination module 304 is used to obtain the monthly rainfall forecast, divide the seasonal reduction amount of each watershed according to the monthly rainfall forecast, and obtain the monthly reduction amount of each watershed. The daily reduction determination module 305 is used to determine the daily reduction amount for each watershed based on the monthly reduction amount and the real-time detected early warning information.

[0136] This invention addresses the problem of coarse pollution load allocation at a single fixed time scale, which fails to guide the dynamic scheduling of engineering measures, by establishing a multi-timescale target decomposition system of "year-quarter-month-day". The solution locks in the total pollutant reduction at the annual scale, ensuring overall controllability of the treatment direction; at the quarterly scale, it differentiates seasonal characteristics to avoid load mismatch caused by average allocation; at the monthly scale, it matches monthly plans based on monthly rainfall forecasts to control pollution flowing into rivers; and at the daily scale, it connects with real-time monitoring and early warning information to achieve rapid response and precise control under conditions of heavy rainfall or abnormal water quality. Through progressive refinement at the annual, quarterly, monthly, and daily levels, macro-level total control targets are transformed into daily executable operational instructions, improving the flexibility and accuracy of river management projects.

[0137] In an optional embodiment, the annual reduction determination module 302 includes: The variable determination unit is used to take the annual reduction amount of each watershed as an input variable; An ecological function determination unit is used to perform a weighted summation of the annual reduction of each watershed based on the ecological contribution information in the regional information of each watershed, and to determine the ecological function of the target river. The cost function determination unit is used to perform a weighted summation of the annual reduction amount of each watershed based on the governance cost information in the regional information of each watershed, and to determine the cost function of the target river; An environmental function determination unit is used to perform a weighted summation of the annual reduction of each watershed based on the environmental attribute information in the regional information of each watershed, and to determine the environmental function of the target river. A multi-condition determination unit is used to sum the ecological function, the cost function, and the environmental function to obtain the total amount of pollutant reduction for the target river; The multi-condition solution unit is used to solve for the annual reduction of each watershed by taking the optimization objectives of increasing the output variable of the ecological function, decreasing the output variable of the cost function, and decreasing the output variable of the environmental function.

[0138] In an optional embodiment, the ecological contribution information includes: ecological contribution information for each governance dimension; the governance cost information includes: governance cost information for each governance dimension; the environmental attribute information includes: environmental attribute information for each governance dimension; the annual reduction amount for each watershed includes: the annual reduction amount for each watershed in each governance dimension; the governance dimensions include: external pollution source governance dimension and internal pollution source governance dimension.

[0139] In an optional embodiment, the seasonal reduction determination module 303 includes: The pollution coefficient determination unit is used to obtain the seasonal pollution characteristics of each watershed and determine the seasonal pollution coefficient of each watershed in each season. The governance coefficient determination unit is used to obtain the seasonal governance characteristics of each watershed and determine the seasonal governance coefficient of each watershed in each season. The seasonal reduction determination unit is used to divide the annual reduction of each watershed according to the seasonal pollution coefficient and the seasonal governance coefficient, so as to obtain the seasonal reduction of each watershed.

[0140] In an optional embodiment, the daily reduction determination module 305 includes: The basic quantity determination unit is used to divide the monthly reduction amount into averages according to the number of days in the month to obtain the basic daily reduction amount for each watershed. The emergency reduction unit is used to adjust the basic daily reduction amount of each watershed when an early warning information is received, so as to obtain the emergency daily reduction amount.

[0141] In an optional embodiment, the monthly reduction determination module 304 includes: The first monthly reduction determination unit is used to obtain the monthly rainfall forecast, and divide the seasonal reduction of the target river into quarterly reductions based on the monthly rainfall forecast to obtain the monthly reduction of the target river. The compliance probability calculation unit is used to calculate the water quality compliance probability of the monthly reduction amount of the target river in each month; The correction unit is used to correct the monthly reduction amount of the target river in each month based on the water quality compliance probability. The second monthly reduction determination unit is used to determine the monthly reduction of each watershed based on the monthly reduction of the target river as predicted and corrected by monthly rainfall.

[0142] In an optional embodiment, it further includes: The daily difference determination unit is used to obtain the actual daily amount of treatment on the day and calculate the daily difference between the actual daily amount and the daily reduction amount. The cumulative difference determination unit is used to accumulate the daily differences of each day included in the month for each month to obtain the cumulative difference of the month; The trigger adjustment unit is used to adjust the monthly reduction amount of the watershed in the next month when the cumulative difference is greater than the difference threshold. The quarterly adjustment trigger unit is used to calculate the monthly deviation between the actual monthly reduction of the target river and the monthly reduction of the target river if the current month is the last month of the current quarter. The quarterly adjustment unit is used to adjust the quarterly reduction amount for the next quarter of the current quarter for each of the watersheds based on the monthly deviation.

[0143] The river management plan generation device provided in this embodiment of the invention can execute the river management plan generation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the river management plan generation method.

[0144] Figure 4 A schematic diagram of a river management plan generation device 400 that can be used to implement embodiments of the present invention is shown.

[0145] like Figure 4 As shown, the river management plan generation device 400 includes at least one processor 401 and a memory, such as a read-only memory 402 and a random access memory 403, communicatively connected to the at least one processor 401. The memory stores computer programs executable by the at least one processor. The processor 401 can perform various appropriate actions and processes based on the computer program stored in the read-only memory 402 or loaded from the storage unit 408 into the random access memory 403. The random access memory 403 can also store various programs and data required for the operation of the river management plan generation device 400. The processor 401, read-only memory 402, and random access memory 403 are interconnected via a bus 404. An input / output interface 405 is also connected to the bus 404.

[0146] Multiple components in the river management plan generation device 400 are connected to the input / output interface 405, including: an input unit 406, such as a keyboard, mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, optical disk, etc.; and a communication unit 409, such as a network card, modem, wireless transceiver, etc. The communication unit 409 allows the river management plan generation device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0147] Processor 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, central processing units, graphics processing units, various special-purpose artificial intelligence computing chips, various processors running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. Processor 401 performs the various methods and processes described above, such as river management plan generation methods.

[0148] In some embodiments, the river management plan generation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed onto the river management plan generation device 400 via read-only memory 402 and / or communication unit 409. When the computer program is loaded into random access memory 403 and executed by processor 401, one or more steps of the river management plan generation method described above may be performed. Alternatively, in other embodiments, processor 401 may be configured to execute the river management plan generation method by any other suitable means (e.g., by means of firmware).

[0149] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard products (ASICs), systems-on-a-chip (SoCs), complex programmable logic devices, computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0150] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0151] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, flash memory, optical fiber, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0152] To provide user interaction, the systems and techniques described herein can be implemented on the operational detection device. This river management plan generation device includes: a display device (e.g., a cathode ray tube or liquid crystal display monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the river management plan generation device. Other types of devices can also be used to provide user interaction; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0153] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0154] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product within the cloud computing service system. This addresses the shortcomings of traditional physical hosts and virtual private servers, such as high management difficulty and weak business scalability.

[0155] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0156] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for generating a river management plan, characterized in that, The method includes: Based on the overall water quality requirements for river management, obtain the total amount of pollutant reduction for the target river pollution control; obtain information on each basin and region derived from the target river; Based on the regional information of each watershed and the principle of multi-objective allocation, the total amount of pollutant reduction for the target rivers is divided to obtain the annual reduction amount for each watershed. The seasonal characteristics of each watershed are obtained, and the annual reduction amount of each watershed is divided according to the seasonal characteristics to obtain the seasonal reduction amount of each watershed. Obtain monthly rainfall forecasts, and divide the seasonal reduction amount of each watershed according to the monthly rainfall forecasts to obtain the monthly reduction amount of each watershed. Based on the monthly reduction amount and the real-time detected early warning information, the daily reduction amount for each of the watersheds is determined.

2. The method according to claim 1, characterized in that, The method combines regional information of each watershed and, based on a multi-objective allocation principle, divides the total pollutant reduction amount of the target rivers to obtain the annual reduction amount for each watershed, including: The annual reduction in each of the aforementioned watersheds is used as an input variable; The annual reduction of each watershed is weighted and summed based on the ecological contribution information in the regional information of each watershed to determine the ecological function of the target river; The annual reduction amount of each watershed is weighted and summed based on the governance cost information in the regional information of each watershed to determine the cost function of the target river; The annual reduction of each watershed is weighted and summed based on the environmental attribute information in the regional information of each watershed to determine the environmental function of the target river; The total amount of pollutant reduction in the target river is obtained by summing the ecological function, the cost function, and the environmental function. With the optimization objectives of increasing the output variables of the ecological function, decreasing the output variables of the cost function, and decreasing the output variables of the environmental function, the annual reduction amount of each watershed is calculated to obtain the annual reduction amount of each watershed.

3. The method according to claim 2, characterized in that, The ecological contribution information includes: ecological contribution information for each governance dimension; the governance cost information includes: governance cost information for each governance dimension; the environmental attribute information includes: environmental attribute information for each governance dimension; the annual reduction amount for each watershed includes: the annual reduction amount for each watershed in each governance dimension; the governance dimensions include: external pollution source governance dimension and internal pollution source governance dimension.

4. The method according to claim 1, characterized in that, The step of obtaining the seasonal characteristics of each watershed and dividing the annual reduction amount of each watershed according to the seasonal characteristics to obtain the seasonal reduction amount of each watershed includes: The seasonal pollution characteristics of each watershed are obtained, and the seasonal pollution coefficient of each watershed in each season is determined. Obtain the seasonal governance characteristics of each watershed and determine the seasonal governance coefficient of each watershed in each season; Based on the seasonal pollution coefficient and the seasonal treatment coefficient, the annual reduction amount of each watershed is divided to obtain the seasonal reduction amount of each watershed.

5. The method according to claim 1, characterized in that, The step of determining the daily reduction amount for each of the watersheds based on the monthly reduction amount and early warning information includes: The monthly reduction amount is divided into equal parts according to the number of days in the month to obtain the basic daily reduction amount for each watershed. When an early warning is received, the basic daily reduction amount for each of the aforementioned watersheds is adjusted to obtain the emergency daily reduction amount.

6. The method according to claim 1, characterized in that, The process of obtaining monthly rainfall forecasts, and dividing the seasonal reduction of each watershed based on these forecasts to obtain the monthly reduction of each watershed, includes: Obtain monthly rainfall forecasts, and divide the seasonal reduction of the target river into different seasons based on the monthly rainfall forecasts to obtain the monthly reduction of the target river in each month; Calculate the probability of water quality meeting standards for the monthly reduction amount of the target river in each month; The monthly reduction amount of the target river is adjusted based on the probability of water quality compliance. The monthly reduction amount for each of the target rivers is determined based on the monthly rainfall forecast and the corrected monthly reduction amount for each month.

7. The method according to claim 1, characterized in that, Also includes: Obtain the actual daily amount treated on the current day, and calculate the daily difference between the actual daily amount and the daily reduction amount; For each month, the daily differences of each day included in the month are accumulated to obtain the cumulative difference of the month; When the cumulative difference exceeds the difference threshold, the monthly reduction amount for the watershed in the following month is adjusted. If the current month is the last month of the current quarter, calculate the monthly deviation between the actual monthly reduction of the target river and the monthly reduction of the target river; The quarterly reduction amount for the next quarter of the current quarter in each of the aforementioned watersheds is adjusted based on the monthly deviation.

8. A river management plan generation device, characterized in that, The device includes: The information acquisition module is used to acquire the total amount of pollutant reduction for the target river pollution control based on the overall water quality requirements of river management; and to acquire information on the watersheds and regions of the target river. The annual reduction determination module is used to combine the regional information of each watershed and, based on the multi-objective allocation principle, divide the total amount of pollutant reduction for the target rivers to obtain the annual reduction amount for each watershed. The seasonal reduction determination module is used to obtain the seasonal characteristics of each watershed, divide the annual reduction of each watershed according to the seasonal characteristics, and obtain the seasonal reduction of each watershed. The monthly reduction determination module is used to obtain monthly rainfall forecasts, divide the seasonal reduction of each watershed according to the monthly rainfall forecasts, and obtain the monthly reduction of each watershed. The daily reduction determination module is used to determine the daily reduction amount for each of the watersheds based on the monthly reduction amount and the real-time detected early warning information.

9. A river management plan generation device, characterized in that, The river management plan generation equipment includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the river management plan generation method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the river management plan generation method according to any one of claims 1-7.

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