A Distributed Water Resource Allocation Method Oriented to Dynamic Water Demand Patterns

Abstract

This invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns. The method includes obtaining basic configuration parameters affecting water resource allocation in a target area; calculating water demand configuration parameters for each water demand module on a daily basis for the target date using a dynamic water demand algorithm based on the basic configuration parameters; the water demand modules include at least one of urban domestic water demand modules, rural domestic water demand modules, industrial water demand modules, and agricultural water demand modules; and allocating water resources for each water demand module on the corresponding target date according to the water demand configuration parameters. This invention considers the mechanisms and patterns of domestic, industrial, and agricultural water demand, fully utilizes the main influencing factors of multi-sectoral water demand, accurately reflects the changes in water demand of each sector at different times, improves the accuracy of daily water demand process simulation, and makes the distributed water resource allocation results more scientific and reasonable, providing technical support for refined regional water resource management.

Description

Technical Field

[0001] This invention relates to the field of water resource simulation and allocation technology, specifically to a distributed water resource allocation method oriented towards dynamic water demand patterns. Background Technology

[0002] With the increasing maturity of distributed hydrological models, some experts and scholars in my country have proposed a dynamic water resource allocation model. This model typically employs two methods: first, loosely coupling the traditional centralized water resource allocation model with the distributed hydrological model, achieving dynamic water resource allocation through output files; second, bidirectionally coupling the water resource allocation module with the hydrological module to construct a distributed water resource allocation model, achieving dynamic water resource allocation through parameter passing. This dynamic allocation model can accurately describe the dynamic feedback between the natural water cycle and the social water cycle, effectively reflecting the interaction between human water use processes and natural hydrological processes, thereby achieving accurate simulation and dynamic allocation of complex water resource systems.

[0003] However, most current distributed water resource allocation models still calculate domestic, industrial, and agricultural water demands by multiplying the size of the economy and society by water consumption quotas, lacking a physical mechanism in the calculation process. Domestic water demand is influenced not only by population size but also by population structure, living standards, living habits, temperature, and other factors. Industrial water demand is affected by temperature, water price, and unit water output value, while agricultural irrigation water demand is influenced by crop transpiration characteristics, precipitation, temperature, and soil moisture content. The daily water demand of each sector is not constant. Current distributed water resource allocation models neglect the impact of temporal differences in water demand intensity among different water-using sectors on the water resource allocation results. In the calculation process, daily domestic and industrial water demands are often calculated using a constant value, while irrigation water demand is determined based on established irrigation systems, setting irrigation dates and amounts without considering the actual needs of crops. This approach affects the accuracy of water resource allocation results and fails to meet the needs of refined regional water resource management. Summary of the Invention

[0004] To address this issue, the present invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns, aiming to solve the technical problem that existing technologies struggle to meet the requirements of refined regional water resource management, resulting in low accuracy of water resource allocation outcomes.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] According to a first aspect of the present invention, the present invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns, the method comprising:

[0007] Obtain the basic configuration parameters that affect the allocation of water resources in the target area;

[0008] Based on the aforementioned basic configuration parameters, a dynamic water demand algorithm is used to calculate the water demand configuration parameters for each water demand module corresponding to the target date; the water demand module includes at least one of urban domestic water demand module, rural domestic water demand module, industrial water demand module, and agricultural water demand module;

[0009] Based on the water demand configuration parameters, water resources are configured for each water demand module for the corresponding target date.

[0010] Furthermore, the basic configuration parameters include at least one of population information parameters, economic information parameters, domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters;

[0011] The population information parameters include the population size and structure information of the target region;

[0012] The economic information parameters include historical economic scale information of the target region;

[0013] The domestic water demand parameters include urban domestic water demand parameters and / or rural domestic water demand parameters. The urban domestic water demand parameters are the parameter values ​​of various parameters that affect the urban domestic water demand of the target area, and the rural domestic water demand parameters are the parameter values ​​of various parameters that affect the rural domestic water demand of the target area.

[0014] The industrial water demand parameters include various parameter values ​​that affect the industrial-related water demand of the target area;

[0015] The agricultural water demand parameters include various parameter values ​​that affect the agricultural irrigation-related water demand of the target area.

[0016] Furthermore, the step of calculating the water demand configuration parameters for each water demand module corresponding to the target date on a daily basis using a dynamic water demand algorithm, based on the basic configuration parameters, includes:

[0017] Identify the land use types of multiple minimum water demand configuration units in the target area to determine the target water demand type corresponding to each minimum water demand configuration unit; wherein, the water demand type includes at least one of urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand;

[0018] Based on the population information parameters and / or the economic information parameters, assign corresponding target population and economic additional parameters to each of the minimum water demand configuration units;

[0019] Based on the target population economic additional parameters and the target water demand parameters corresponding to the target water demand type, the target water demand of each of the minimum water demand configuration units is calculated on the target date using the dynamic water demand algorithm.

[0020] The water demand parameters include at least one of urban domestic water demand parameters, rural domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters.

[0021] Further, the allocation of corresponding target population and economic additional parameters to each of the minimum water demand configuration units based on the population information parameters and / or the economic information parameters includes:

[0022] Determine the area ratio of each of the minimum water demand configuration units to the total area of ​​the same water demand type in the target area;

[0023] Based on the target water demand type and the area ratio, the population information parameters and / or the economic information parameters are allocated to obtain the target population economic additional parameters corresponding to each of the minimum water demand configuration units;

[0024] The target population economic parameters include urban population economic parameters, rural population economic parameters, and / or industrial economic parameters; the urban population economic parameters include at least one of urban population data, urban labor force data, urban non-labor force data, and local GDP; the rural population economic parameters include at least one of rural population data, rural labor force data, rural non-labor force data, livestock and poultry farming data, and local GDP; and the industrial economic parameters include industrial value added data.

[0025] Further, the step of calculating the target water demand for each of the minimum water demand configuration units on a daily basis using the dynamic water demand algorithm, based on the target population economic additional parameters and the target water demand parameters corresponding to the target water demand type, includes:

[0026] If the target water demand type of the minimum water demand configuration unit is urban domestic water demand, the urban domestic water demand of the minimum water demand configuration unit for the target date is calculated daily based on the urban population economic additional parameters and urban domestic water demand parameters; wherein, the urban domestic water demand includes at least one of urban drinking water demand, urban cooking water demand, urban toilet flushing water demand, urban personal hygiene water demand, and urban room cleaning water demand;

[0027] If the target water demand type of the minimum water demand configuration unit is rural domestic water demand, the rural domestic water demand of the minimum water demand configuration unit for the target date is calculated daily based on the rural population economic additional parameters and the rural domestic water demand parameters; wherein, the rural domestic water demand includes at least one of the following: rural direct drinking water demand, rural cooking water demand, rural personal hygiene water demand, and livestock and poultry breeding water demand;

[0028] If the target water demand type of the minimum water demand configuration unit is industrial water demand, the industrial water demand of the minimum water demand configuration unit for the target date is calculated daily based on the industrial economic additional parameter and the industrial water demand parameter.

[0029] If the target water demand type of the minimum water demand configuration unit is agricultural water demand, the agricultural water demand of the minimum water demand configuration unit for the target date is calculated daily based on the agricultural water demand parameters.

[0030] Further, the step of calculating the urban domestic water demand corresponding to the target date for the minimum water demand allocation unit on a daily basis based on the urban population economic surcharge parameter and the urban domestic water demand parameter includes:

[0031] The urban domestic water demand for the target date is calculated using the following formula. :

[0032]

[0033] in, WD cd The formula for calculating the city's drinking water demand on the target date is:

[0034]

[0035] in, The average daily drinking water intake per capita for urban residents aged 14 and above; This refers to the number of urban residents aged 14 and above. The average daily drinking water intake per capita for urban residents under the age of 14; This refers to the number of urban residents under the age of 14. The urban direct drinking water demand adjustment coefficient; The average temperature of the target date;

[0036] WDcc The formula for calculating the water requirement for cooking in the city on the target date is as follows:

[0037]

[0038] in, The average daily water requirement per person for cooking in the city; and The probability of cooking at home for urban working-age population and non-working-age population, respectively; and These represent the number of urban labor force population and non-labor force population, respectively. For the unemployment rate; Water demand adjustment coefficient for urban cooking;

[0039] The formula for calculating the city's toilet flushing water demand on the target date is:

[0040]

[0041] in, This represents the average water consumption per person per toilet flush. N This represents the average number of times a single person flushes the toilet per day. and These refer to the number of urban labor force population and non-labor force population, respectively. For the unemployment rate; and These represent the average time spent at home for both the urban working-age population and the non-working-age population, respectively. The water demand adjustment coefficient for urban toilet flushing;

[0042] The formula for calculating the city's personal hygiene water requirement for the target date is as follows:

[0043]

[0044] in, This represents the average daily water requirement for personal hygiene in urban areas. As the economy develops, the demand for personal sanitary water in cities will increase. GDP It represents the local gross domestic product; The sensitivity coefficient to urban economic activity; The random probability of a personal hygiene incident occurring in the city, with a value range of (0~1). nm Total population; The urban personal hygiene water demand adjustment coefficient; The average temperature of the target date;

[0045] WD ch The water requirement for cleaning rooms in the city on the target date is calculated using the following formula:

[0046]

[0047] in, Water requirement per unit area for room cleaning; A The average living space per capita in the city; The city's population; Adjustment coefficient for water demand for cleaning urban rooms; The frequency of room cleaning in the city is represented by a value ranging from 0 to 1. It is a uniform random distribution function, with values ​​ranging from 0 to 1.

[0048] Further, the step of calculating the rural domestic water demand for the target date corresponding to the minimum water demand allocation unit on a daily basis based on the rural population economic surcharge parameters and rural domestic water demand parameters includes:

[0049] The rural domestic water demand for the target date is calculated using the following formula. :

[0050]

[0051] in, The rural direct drinking water demand for the target date is calculated using the following formula:

[0052]

[0053] in, The average daily drinking water intake per capita for rural residents aged 14 and above; This refers to the number of rural residents aged 14 and above. The average daily basic drinking water intake per capita for rural residents under the age of 14; This refers to the number of rural residents under the age of 14. The adjustment coefficient for rural direct drinking water demand; The average temperature of the target date;

[0054] The formula for calculating the rural cooking water requirement for the target date is as follows:

[0055]

[0056] in, The average daily water requirement per person for cooking in rural areas; and The probability of rural labor force and non-labor force individuals cooking at home, respectively; and These refer to the number of rural labor force population and non-labor force population, respectively. For the unemployment rate; Water demand adjustment coefficient for cooking in rural areas;

[0057] The formula for calculating the rural personal hygiene water requirement for the target date is as follows:

[0058]

[0059] in, The average daily water requirement for personal hygiene in rural areas; As the economy develops, the demand for personal sanitary water in rural areas will increase. GDP It represents the local gross domestic product; The sensitivity coefficient for rural economy; Let be the random probability of a rural person's health condition occurring, with a value range of (0~1). nm For the total population; The adjustment coefficient for rural personal hygiene water demand;

[0060] The water requirement for livestock and poultry farming on the target date is calculated using the following formula:

[0061]

[0062] in, The daily water requirement for direct drinking water for livestock and poultry is calculated using the following formula:

[0063]

[0064] in, This refers to the basic daily water consumption of large livestock. For the number of large livestock; This refers to the basic daily water intake for small livestock. For the number of small livestock; The adjustment coefficient for direct drinking water demand in livestock and poultry farming; The average temperature of the target date;

[0065] The formula for calculating the water requirement for cleaning the aquaculture site on the target date is as follows:

[0066]

[0067] in, Water requirement per unit area for cleaning aquaculture sites; B For stocking density; Water demand adjustment coefficient for cleaning of aquaculture sites; The frequency of aquaculture cleaning is represented by a value ranging from 0 to 1. The function is a uniform random distribution function for aquaculture, with values ​​ranging from 0 to 1.

[0068] Further, the step of calculating the industrial water demand of the minimum water demand allocation unit for the target date on a daily basis based on the industrial economic surcharge parameter and the industrial water demand parameter includes:

[0069] The industrial water demand for the target date is calculated using the following formula. :

[0070]

[0071]

[0072] in, Water consumption per 10,000 yuan of industrial added value per year; The annual industrial water reuse rate; The annual industrial water price; T The average annual temperature; a , b , c , d These are the parameters for linear regression; The industrial added value for the target date; The average temperature for the target date.

[0073] Further, the step of calculating the agricultural water demand of the minimum water demand configuration unit for the target date on a daily basis based on the agricultural water demand parameters includes:

[0074] The following formula is used to determine whether the crops in the minimum water requirement unit have entered the irrigation period on the target date:

[0075]

[0076]

[0077] in, fr u The cumulative heat fraction for crops; fr uIRR The preset cumulative heat unit fraction value for irrigation; H The number of days the crop has grown up to the target date; The average temperature of the target date; 0 represents the minimum temperature required for crop growth; AT max The total cumulative heat during the entire growth period of crops;

[0078] If the crop enters its irrigation period on the target date, the agricultural water requirement for the target date is calculated using the following formula:

[0079]

[0080] in, WD IRR The agricultural water requirement for the target date; A U For agricultural irrigated area; w Soil moisture content; w Fc It refers to the soil field water holding capacity; w Td The tolerance threshold for crop yield reduction due to water shortage; η The effective utilization coefficient of farmland irrigation water.

[0081] Furthermore, the water demand configuration parameters include at least one of urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand; the step of allocating water resources to each water demand module for a corresponding target date according to the water demand configuration parameters includes:

[0082] Based on the water demand configuration parameters of each minimum water demand configuration unit in the target area on the target date, water resources are allocated to each minimum water demand configuration unit on the corresponding target date.

[0083] This invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns. It obtains basic configuration parameters affecting water resource allocation in a target area; based on these parameters, a dynamic water demand algorithm is used to calculate the water demand configuration parameters for each water demand module on a daily basis for the target date; the water demand modules include at least one of urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand; and water resource allocation is performed for each water demand module on the corresponding target date according to the water demand configuration parameters. This invention considers the mechanisms and patterns of domestic, industrial, and agricultural water demand, fully utilizes the main influencing factors of multi-sectoral water demand, accurately reflects the changes in water demand of each sector at different times, improves the accuracy of daily water demand process simulation, and makes the distributed water resource allocation results more scientific and reasonable, providing technical support for refined regional water resource management.

[0084] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description

[0085] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0086] Figure 1 The diagram shows a flowchart of a distributed water resource allocation method for dynamic water demand patterns provided by an embodiment of the present invention. Detailed Implementation

[0087] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0088] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0089] This invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns, such as... Figure 1 As shown, it may include at least the following steps S101~S103:

[0090] Step S101: Obtain the basic configuration parameters that affect the allocation of water resources in the target area.

[0091] First, it should be noted that the water resource allocation in this embodiment of the invention is a multi-sectoral distributed allocation, involving urban life, rural life, industrial production, and agricultural production. Based on this, this embodiment of the invention first needs to obtain the basic configuration parameters for multi-sectoral water demand calculation affecting the target area. These basic configuration parameters include population information parameters, economic information parameters, domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters.

[0092] Population information parameters include the population size and structure of the target region, which may include total population, urban population, rural population, urban working-age population, urban non-working-age population, rural working-age population, rural non-working-age population, unemployment rate, and per capita living space. Economic information parameters include the historical economic scale of the target region, which may include GDP, industrial added value, number of large livestock farms, number of small livestock farms, and livestock density. Water demand parameters include urban and rural water demand parameters. Urban water demand parameters are various parameters affecting the urban water demand of the target region, including daily basic drinking water consumption for urban residents aged 14 and above, daily basic drinking water consumption for urban residents under 14 years old, urban direct drinking water demand adjustment coefficient, daily basic water demand for cooking, urban cooking water demand adjustment coefficient, basic water consumption per flush, urban toilet flushing water demand adjustment coefficient, daily basic water demand for personal hygiene, urban personal hygiene water demand adjustment coefficient, and water demand per unit area for room cleaning. Water quantity, room cleaning water demand adjustment coefficient, and urban economic sensitivity coefficient, etc.; Rural domestic water demand parameters are various parameter values ​​that affect the rural domestic water demand in the target area, including the daily basic drinking water consumption of rural population aged 14 and above, the daily basic drinking water consumption of rural population under 14 years old, the rural direct drinking water demand adjustment coefficient, the rural daily basic cooking water consumption, the rural cooking water demand adjustment coefficient, the rural daily basic hygiene water consumption, the rural personal hygiene water demand adjustment coefficient, the rural economic sensitivity coefficient, the daily basic drinking water consumption of large livestock, the daily basic drinking water consumption of small livestock, the livestock and poultry direct drinking water demand adjustment coefficient, the water demand per unit area for cleaning of breeding sites, and the water demand adjustment coefficient for cleaning of breeding sites, etc.; Industrial water demand parameters are various parameter values ​​that affect the industrial water demand in the target area, including the industrial water reuse rate over the years, industrial water price, and water consumption per 10,000 yuan of industrial added value, etc.; Agricultural water demand parameters are various parameter values ​​that affect the agricultural irrigation water demand in the target area, including the crop water shortage yield reduction tolerance threshold and the heat unit fraction for irrigation, etc.

[0093] Step S102: Based on the basic configuration parameters, the water demand configuration parameters for each water demand module corresponding to the target date are calculated daily using a dynamic water demand algorithm.

[0094] Specifically, the land use type of multiple minimum water demand configuration units in the target area can be identified to determine the target water demand type corresponding to each minimum water demand configuration unit; based on population information parameters and / or economic information parameters, corresponding target population and economic additional parameters are assigned to each minimum water demand configuration unit; based on the target population and economic additional parameters and the target water demand parameters corresponding to the target water demand type, the target water demand for each minimum water demand configuration unit on the target date is calculated using a dynamic water demand algorithm.

[0095] It is understandable that water resource allocation rules differ for different land use types. In this embodiment of the invention, the water demand modules of the target area include urban domestic water demand modules, rural domestic water demand modules, industrial water demand modules, and agricultural water demand modules. To ensure accurate allocation of water resources across multiple sectors in the target area, this embodiment of the invention needs to classify different land use types within the target area. First, multiple minimum water demand configuration units are determined in the target area. This step employs a nested division of sub-basin-irrigation district-administrative region-land use-soil-slope. The resulting land use types include urban domestic land, rural domestic land, industrial land, and agricultural land. Based on these different land use types, the target area is divided into multiple minimum water demand configuration units. Based on the land use type of each minimum water demand configuration unit, the corresponding target water demand type is determined. These water demand types include urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand. That is, the corresponding water demand type for urban residential land is urban residential water demand, the corresponding water demand type for rural residential land is rural residential water demand, the corresponding water demand type for industrial land is industrial water demand, and the corresponding water demand type for agricultural land is agricultural water demand.

[0096] Furthermore, based on the population information parameters and economic information parameters in the basic configuration parameters, corresponding target population and economic additional parameters are assigned to each minimum water demand configuration unit.

[0097] Specifically, the area ratio of each minimum water demand allocation unit to the total area of ​​the same water demand type in the target region is determined; based on the target water demand type and area ratio, population information parameters and / or economic information parameters are allocated to obtain the target population and economic additional parameters corresponding to each minimum water demand allocation unit.

[0098] In other words, the population and economic information parameters of the target area are allocated to each minimum water demand allocation unit according to the area ratio. For example, if a minimum water demand allocation unit is urban residential land, then the urban population data, urban labor force data, and urban non-labor force data from the population information parameters, as well as the local GDP from the economic information parameters, are allocated to that minimum water demand allocation unit according to the area ratio of the land area of ​​that minimum water demand allocation unit to the total urban residential land area in the target area. Similarly, if a minimum water demand allocation unit is rural residential land, then the rural population data, rural labor force data, and rural non-labor force data from the population information parameters, as well as the local GDP from the economic information parameters, are allocated to that minimum water demand allocation unit according to the area ratio of the land area of ​​that minimum water demand allocation unit to the total rural residential land area in the target area. In addition, rural residential water demand also needs to supply livestock and poultry farming, so livestock and poultry farming data also needs to be allocated to that minimum water demand allocation unit according to the area ratio of the land area of ​​that minimum water demand allocation unit to the total rural residential land area in the target area. If a minimum water demand allocation unit is industrial land, then the industrial added value data will be allocated to that minimum water demand allocation unit according to the proportion of the land area of ​​that minimum water demand allocation unit to the total area of ​​industrial land in the target area.

[0099] Therefore, the final allocated target population economic additional parameters include urban population economic additional parameters, rural population additional parameters, and / or industrial economic additional parameters; urban population economic additional parameters include urban population data, urban labor force data, urban non-labor force data, and at least one of the local GDP; rural population economic additional parameters include rural population data, rural labor force data, rural non-labor force data, livestock and poultry farming data, and at least one of the local GDP; industrial economic additional parameters include industrial added value data.

[0100] Furthermore, based on the target population economic additional parameters and the target water demand parameters corresponding to the target water demand type, the target water demand for each minimum water demand configuration unit on the target date is calculated using a dynamic water demand algorithm.

[0101] In this embodiment of the invention, the water demand parameters are the urban domestic water demand parameters, rural domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters in the basic configuration parameters. Based on the target water demand type of each minimum water demand configuration unit, its target water demand parameters can be determined. That is, the water demand parameters corresponding to urban domestic water demand are urban domestic water demand parameters, the water demand parameters corresponding to rural domestic water demand are rural domestic water demand parameters, the water demand parameters corresponding to industrial water demand are industrial water demand parameters, and the water demand parameters corresponding to agricultural water demand are agricultural water demand parameters.

[0102] It is understandable that, due to various factors, the target water demand for the same land use type will differ on different dates and is dynamically changing. Therefore, after obtaining the target population economic surcharge parameters and target water demand type corresponding to each minimum water demand configuration unit, this embodiment of the invention can calculate the target water demand for the corresponding target date daily according to the dynamic water demand algorithm. Below, this embodiment of the invention provides a detailed calculation explanation for different water demand types:

[0103] For the smallest water demand allocation unit whose target water demand type is urban domestic water demand, the urban domestic water demand corresponding to the target date is calculated daily based on urban population economic surcharge parameters and urban domestic water demand parameters. Urban domestic water demand includes urban drinking water demand, urban cooking water demand, urban toilet flushing water demand, urban personal hygiene water demand, and urban room cleaning water demand.

[0104] Specifically, the urban domestic water demand for the target date is calculated using the following formula. The unit is m 3 / d:

[0105]

[0106] in, WD cd The target date represents the city's drinking water demand, in cubic meters (m³). 3 / d, the calculation formula is:

[0107]

[0108] in, The average daily basic drinking water intake per capita for urban residents aged 14 and above, in cubic meters. 3 / (person·d; This refers to the urban population aged 14 and above, expressed in persons. The average daily basic drinking water intake per capita for urban residents under the age of 14, in cubic meters. 3 / (person·d; This refers to the urban population under the age of 14, expressed in persons. The urban direct drinking water demand adjustment coefficient; The average temperature of the target date, in units of ;

[0109] WDcc Water requirements for cooking in the city on the target date, in cubic meters (m³). 3 / d, the calculation formula is:

[0110]

[0111] in, The average daily water requirement per person for cooking in the city, in cubic meters. 3 / (person·d; and These represent the probability of cooking at home for both the urban working-age population and the non-working-age population, respectively, in percentages (%). and These represent the number of urban labor force and non-labor force populations, respectively, in persons. For the unemployment rate; Water demand adjustment coefficient for urban cooking;

[0112] The city's toilet flushing water demand for the target date, in cubic meters (m³). 3 / d, the calculation formula is:

[0113]

[0114] in, This represents the average water consumption per person per flush, expressed in cubic meters (m³). 3 / (person·d; N This represents the average number of times a single person flushes the toilet per day. and These represent the number of urban labor force and non-labor force populations, respectively, in persons. For the unemployment rate; and These represent the average time spent at home by the urban working-age population and the non-working-age population, respectively, in hours. The water demand adjustment coefficient for urban toilet flushing;

[0115] The city's personal hygiene water requirement for the target date, in cubic meters (m³). 3 / d, the calculation formula is:

[0116]

[0117] in, This refers to the average daily basic water requirement for personal hygiene in urban areas, expressed in cubic meters (m³). 3 / (person·d; The additional demand for urban personal sanitary water as the economy develops is expressed in cubic meters (m³). 3 / (person·d; GDP The local gross domestic product is expressed in yuan. The sensitivity coefficient to urban economic activity; The random probability of a personal hygiene incident occurring in the city, with a value range of (0~1). nm Total population, expressed in persons; The urban personal hygiene water demand adjustment coefficient; The average temperature of the target date, in units of ;

[0118] WD ch Water requirement for cleaning rooms in the city on the target date, in cubic meters. 3 / d, the calculation formula is:

[0119]

[0120] in, Water requirement per unit area for room cleaning, in cubic meters (m²) 3 / (m 2 ·d); A The average living space per capita in the city is expressed in square meters (m²). 2 / people; The city's population is expressed in people. Adjustment coefficient for water demand for cleaning urban rooms; The frequency of room cleaning in the city is represented by a value ranging from 0 to 1. It is a uniform random distribution function, with values ​​ranging from 0 to 1.

[0121] For the minimum water demand allocation unit whose target water demand type is rural domestic water demand, the rural domestic water demand corresponding to the target date is calculated daily based on the rural population economic additional parameters and rural domestic water demand parameters. Among them, the rural domestic water demand includes rural direct drinking water demand, rural cooking water demand, rural personal hygiene water demand, and livestock and poultry breeding water demand.

[0122] Specifically, the rural domestic water demand for the target date is calculated using the following formula. :

[0123]

[0124] in, The target date represents the rural direct drinking water demand, expressed in cubic meters (m³). 3 / d, the calculation formula is:

[0125]

[0126] in, The average daily basic drinking water volume per capita for rural residents aged 14 and above, in cubic meters. 3 / (person·d; This refers to the number of rural residents aged 14 and above, in persons. The average daily basic drinking water volume per capita for rural residents under the age of 14, in cubic meters. 3 / (person·d; This refers to the number of rural residents under the age of 14, in persons. The adjustment coefficient for rural direct drinking water demand; The average temperature of the target date, in units of ;

[0127] Water requirements for cooking rice in rural areas, in meters (m). 3 / d, the calculation formula is:

[0128]

[0129] in, The basic daily water requirement per capita for cooking in rural areas, in cubic meters (m³). 3 / (person·d; and The probability of rural labor force and non-labor force individuals cooking at home, respectively; and These represent the number of rural labor force and non-labor force population, respectively, in persons. For the unemployment rate; Water demand adjustment coefficient for cooking in rural areas;

[0130] Rural personal hygiene water requirements, in m³ 3 / d, the calculation formula is:

[0131]

[0132] in, This refers to the average daily basic water requirement for personal hygiene in rural areas, expressed in cubic meters (m³). 3 / (person·d; The additional demand for rural personal sanitary water as the economy develops is expressed in cubic meters (m³). 3 / (person·d; GDP The local gross domestic product is expressed in yuan. The sensitivity coefficient for rural economy; Let be the random probability of a rural person's health condition occurring, with a value range of (0~1). nm Total population, expressed in persons; The adjustment coefficient for rural personal hygiene water demand;

[0133] The water requirement for livestock and poultry farming on the target date, in m³. 3 / d, the calculation formula is:

[0134]

[0135] in, The target date represents the direct drinking water requirement for livestock and poultry, expressed in cubic meters (m³). 3 / d, the calculation formula is:

[0136]

[0137] in, This represents the basic daily water consumption of large livestock, in cubic meters (m³). 3 / (head·d; This refers to the number of large livestock, measured in heads. This refers to the basic daily water consumption of small livestock, in cubic meters (m³). 3 / (head·d; This refers to the number of small livestock, measured in heads. The adjustment coefficient for direct drinking water demand in livestock and poultry farming; The average temperature of the target date, in units of ;

[0138] Water requirement for cleaning aquaculture facilities on the target date, in m³. 3 / d, the calculation formula is:

[0139]

[0140] in, Water requirement per unit area for cleaning aquaculture sites, in m³ 3 / (m 2 ·d); B Stocking density, in meters (m) 2 / head; Water demand adjustment coefficient for cleaning of aquaculture sites; The frequency of aquaculture cleaning is represented by a value ranging from 0 to 1. The function is a uniform random distribution function for aquaculture, with values ​​ranging from 0 to 1.

[0141] For the minimum water demand configuration unit whose target water demand type is industrial water demand, the industrial water demand corresponding to the target date is calculated daily based on the industrial economic surcharge parameter and the industrial water demand parameter.

[0142] Specifically, calculating the industrial water demand corresponding to the minimum water demand allocation unit on the target date requires first performing a multiple linear regression fitting analysis based on long-series data such as annual average temperature data from meteorological stations, historical industrial added value, annual industrial water reuse rate, annual industrial water price, and annual water consumption per 10,000 yuan of industrial added value, to calculate the linear regression parameter values:

[0143]

[0144] Then, the industrial water demand for the target date is calculated using the following formula. :

[0145]

[0146] in, Water consumption per 10,000 yuan of industrial added value per year, in cubic meters. 3 / d; The annual industrial water reuse rate is expressed in % (%). This is the annual industrial water price, in yuan / m³. 3 ; T The annual average temperature is expressed in units of... ; a , b , c , d These are the parameters for linear regression; The industrial added value for the target date is expressed in RMB 10,000 per day. The average temperature of the target date, in units of .

[0147] For the smallest water requirement allocation unit whose target water requirement type is agricultural water requirement, the agricultural water requirement for the corresponding target date is calculated daily based on agricultural water requirement parameters. It is understood that agricultural water requirement is mainly for crop irrigation; therefore, the potential evapotranspiration and soil moisture content for the day can be calculated first based on the crop planting type and corresponding area, and then the irrigation water requirement can be calculated.

[0148] Specifically, based on the daily cumulative heat unit fraction, it can be determined whether the crops in the configuration unit have entered the irrigation period on the target date. That is, the following formula can be used to determine whether the crops in the minimum water requirement configuration unit have entered the irrigation period:

[0149]

[0150]

[0151] in, fr u This represents the cumulative heat fraction for crops, expressed as a percentage (%). fr uIRR The preset cumulative heat fraction for irrigation is expressed in % (%). H This refers to the number of days the crop has grown up to the target date; The average temperature of the target date, in units of ; 0 represents the minimum temperature required for crop growth, in units of... ; AT max The total accumulated heat of crops over their entire growth period, expressed in units of... ;

[0152] If the cumulative heat fraction of the crop conforms to the above formula, the crop will enter the irrigation period on the target date. If the soil moisture content is lower than the set crop water shortage tolerance threshold, the program determines that irrigation is required on the target date; otherwise, irrigation is not required. The agricultural water requirement for the target date is calculated using the following formula:

[0153]

[0154] in, WD IRR Agricultural water demand for the target date, in cubic meters (m³). 3 ; A U This refers to the area of ​​agricultural irrigation, expressed in ha (unit: hectares). w Soil moisture content, in mm; w Fc Soil field holding capacity, in mm; w Td The tolerance threshold for crop yield reduction due to water shortage, in mm; η The effective utilization coefficient of farmland irrigation water.

[0155] It should be noted that the daily average temperature and annual average temperature mentioned in the embodiments of the present invention can be obtained from the temperature data provided by the meteorological station where the target area is located.

[0156] Step S103: Based on the water demand configuration parameters, configure water resources for each water demand module for the corresponding target date.

[0157] Through the above steps, the water demand allocation parameters for each minimum water demand allocation unit in the target area on the target date are calculated, which is the target water demand. These water demand allocation parameters include urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand. Based on the water demand allocation parameters corresponding to the minimum water demand allocation units in the target area on the target date, water resources are allocated to each minimum water demand allocation unit for the corresponding target date.

[0158] This invention provides a distributed water resource allocation method oriented towards dynamic water demand patterns. It obtains basic configuration parameters affecting water resource allocation in a target area; based on these parameters, a dynamic water demand algorithm calculates the water demand configuration parameters for each water demand module on a daily basis for the target date; and then, according to these parameters, water resources are allocated to each module for the corresponding target date. This method considers the mechanisms and patterns of water demand in domestic, industrial, and agricultural sectors, fully utilizes the main influencing factors of multi-sectoral water demand, accurately reflects the changes in water demand across sectors over different time periods, improves the accuracy of daily water demand simulation, and makes the distributed water resource allocation results more scientific and reasonable, providing technical support for refined regional water resource management.

[0159] As Figure 1 In practice, the implementation of this invention can be achieved through computer technology. By establishing a distributed water resource allocation model based on SWAT-WARM and compiling the code of the distributed water resource allocation model in the program development environment, a distributed water resource allocation model including a main program unit, a water demand unit, a periodic cycle unit, an agricultural management unit, and a multi-source water supply unit is obtained, which realizes the daily calling of the water demand unit and the real-time transmission of simulation result information.

[0160] For the main program unit, relevant code can be added to a configuration information file containing basic configuration parameters. This configuration information file includes basic population information, economic development information, domestic water demand information, industrial water demand information, and agricultural water demand information. This facilitates the distributed water resource allocation model in reading historical population and economic information during simulation, clarifying the population size, economic scale, and basic water demand parameters set for different water demand types. Taking a county / district as an example, the specific format of the configuration information file is shown in Tables 1-5 below.

[0161] Table 1: File Format for Basic Population Information

[0162] Parameter name Data types illustrate Plastic Surgery District / County Code Plastic Surgery Year code (,) Real The total population of the district / county in the year . <![CDATA[ nm c ( ic , jn )]]> Real Urban population of the district / county in the year <![CDATA[ nm r ( ic , jn )]]> Real Rural population of the district / county in the year <![CDATA[ nm cw ( ic , jn )]]> Real Urban working population of the district / county in the year ____ <![CDATA[ nm cn ( ic , jn )]]> Real Urban non-labor population in the district / county in the year <![CDATA[ nm rw ( ic , jn )]]> Real Rural labor force in the county / district in the year <![CDATA[ nm rn ( ic , jn )]]> Real Number of rural non-labor population in the district / county in the year (,) Real The unemployment rate in the district / county in the year (,) Real The per capita living space in the county / district in the year

[0163] Table 2: Format of Economic Development Information Documents

[0164]

[0165] Table 3: Basic Information File Format for Domestic Water Demand

[0166] Parameter name Data types illustrate Plastic Surgery District / County Code Plastic Surgery Year code (,) Real The GDP of the county in the year <![CDATA[ GDP Ind ( ic , jn )]]> Real Industrial added value of the district / county in the year <![CDATA[ nm a1 ( ic , jn )]]> Real The number of large-scale livestock farms in the district / county in the year <![CDATA[ nm a2 ( ic , jn )]]> Real The number of small livestock farms in the district / county in the year (,) Real The breeding density in the county in the year

[0167] Table 4: Basic Information File Format for Industrial Water Demand

[0168] Parameter name Data types illustrate Plastic Surgery District / County Code Plastic Surgery Year code <![CDATA[ w re ( ic , jn )]]> Real The industrial water reuse rate of the district / county in the year <![CDATA[ w pr ( ic , jn )]]> Real Industrial water price in the first district / county in the first year <![CDATA[ W Ind ( ic , jn )]]> Real Water consumption per 10,000 yuan of industrial added value in the 1st district / county in the 1st year

[0169] Table 5: Basic Information File Format for Agricultural Water Demand

[0170] Parameter name Data types illustrate Plastic Surgery Crop Code <![CDATA[ w Td ( IP )]]> Real The water shortage yield reduction tolerance threshold of the first crop <![CDATA[ fr uIRR ( IP )]]> Real The heat unit fraction for irrigation of the first type of crop

[0171] For water demand units, configuration information files that call the main program unit and related code for various dynamic water demand algorithms can be added to calculate urban domestic water demand, rural domestic water demand, industrial water demand and agricultural water demand. The unit program mainly involves the identification of the minimum water demand configuration unit, the allocation of population and economic data, the calculation of daily water demand, the identification of irrigation period, and the determination of irrigation water demand.

[0172] For the cyclic unit, relevant code can be added to call the calculation results of the water demand unit, so as to realize the daily call of the cyclic unit to the water demand unit, and to simulate the daily domestic, industrial and irrigation water demand during the operation of the distributed water resource allocation model.

[0173] For the cyclical unit, relevant code for the irrigation simulation part can be added, including calling the multi-source differentiated water supply unit. When the simulated daily soil moisture content is lower than the set crop water shortage and yield reduction tolerance threshold, the program that calls the multi-source irrigation unit is triggered to start the irrigation simulation and begin the irrigation water configuration calculation.

[0174] For multi-source water supply units, water resource allocation-related code can be added to utilize parameters such as urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand calculated by the water demand unit to perform realistic water resource allocation, thereby achieving connection and real-time parameter transmission between the water demand unit and the multi-source water supply unit.

[0175] Based on the existing water resource allocation model, this embodiment of the invention can modify the SWAT-WARM source code. By opening the existing water resource allocation model project folder, adding the aforementioned configuration information file, and replacing the original units of the water resource allocation model, the newly constructed water demand units are added. In the application development environment, the modified distributed water resource allocation model is used to simulate distributed water resource allocation oriented towards dynamic water demand, enabling daily invocation of water demand units and transmission of simulation result information.

[0176] Other corresponding descriptions of the functional units involved in the distributed water resource allocation model proposed in this embodiment of the invention can be found in [reference]. Figure 1 The corresponding description of the method shown will not be repeated here.

[0177] Those skilled in the art will clearly understand that the specific working process of the systems, devices, modules and units described above can be referred to the corresponding process in the foregoing method embodiments. For the sake of brevity, it will not be repeated here.

[0178] Furthermore, the functional units in the various embodiments of the present invention can be physically independent of each other, or two or more functional units can be integrated together, or all functional units can be integrated into one processing unit. The integrated functional units described above can be implemented in hardware, or in software or firmware.

[0179] Those skilled in the art will understand that if the integrated functional unit is implemented in software and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or all or part of it, 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 computing device (e.g., a personal computer, server, or network device) to execute all or part of the steps of the methods described in the embodiments of the present invention when running the instructions. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0180] Alternatively, all or part of the steps of the foregoing method embodiments can be implemented by hardware (such as a computing device, personal computer, server, or network device) related to program instructions. The program instructions can be stored in a computer-readable storage medium. When the program instructions are executed by the processor of the computing device, the computing device executes all or part of the steps of the methods described in the various embodiments of the present invention.

[0181] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that within the spirit and principles of the present invention, modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein; and these modifications or substitutions do not cause the corresponding technical solutions to depart from the protection scope of the present invention.

Claims

1. A distributed water resource allocation method oriented towards dynamic water demand patterns, characterized in that, The method includes: Obtain basic configuration parameters that affect water resource allocation in the target area; the basic configuration parameters include at least one of population information parameters, economic information parameters, domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters; Based on the aforementioned basic configuration parameters, a dynamic water demand algorithm is used to calculate the water demand configuration parameters for each water demand module on a daily basis for the target date; the water demand module includes at least one of urban domestic water demand module, rural domestic water demand module, industrial water demand module, and agricultural water demand module; Based on the water demand configuration parameters, water resources are configured for each water demand module for the corresponding target date; The step of calculating the water demand configuration parameters for each water demand module corresponding to the target date on a daily basis using a dynamic water demand algorithm, based on the aforementioned basic configuration parameters, includes: Identify the land use types of multiple minimum water demand configuration units in the target area to determine the target water demand type corresponding to each minimum water demand configuration unit; wherein, the water demand type includes at least one of urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand; Based on the population information parameters and / or the economic information parameters, corresponding target population and economic additional parameters are assigned to each of the minimum water demand configuration units, including: Determine the area ratio of each of the minimum water demand configuration units to the total area of ​​the same water demand type in the target area; Based on the target water demand type and the area ratio, the population information parameters and / or the economic information parameters are allocated to obtain the target population economic additional parameters corresponding to each of the minimum water demand configuration units; Based on the target population economic additional parameters and the target water demand parameters corresponding to the target water demand type, the target water demand of each of the minimum water demand configuration units for the target date is calculated daily using the dynamic water demand algorithm. The water demand parameters include at least one of urban domestic water demand parameters, rural domestic water demand parameters, industrial water demand parameters, and agricultural water demand parameters; When the target water demand type of the minimum water demand allocation unit is rural domestic water demand, the rural domestic water demand of the minimum water demand allocation unit for the target date is calculated daily based on the rural population economic surcharge parameter and the rural domestic water demand parameter, including: The rural domestic water demand WD for the target date is calculated using the following formula. RT : WD RT =WD rd +WD rc +WD rs +WD AN Among them, WD rd The rural direct drinking water demand for the target date is calculated using the following formula: Among them, w ra The average daily basic drinking water intake per capita for rural residents aged 14 and above; nm ra The number of rural residents aged 14 and above; w ru The average daily basic drinking water intake per capita for rural residents under the age of 14; nm ru The number of rural residents under the age of 14; a rd The rural direct drinking water demand adjustment coefficient; t is the average temperature of the target date; WD rc The formula for calculating the water requirement for cooking rice in rural areas on the target date is as follows: WD rc =w rc ·{p rw ·[nm rw (1-lsr)]+p rn ·[nm rn (1+lsr)]}·a rc Among them, w rc The average daily water requirement for cooking in rural areas; p rw and p rn The probabilities of rural labor force and non-labor force individuals cooking at home, respectively; nm rw and nm rn These represent the rural labor force and non-labor force populations, respectively; lsr is the unemployment rate; a rc Water demand adjustment coefficient for cooking in rural areas; WD rs The formula for calculating the rural personal hygiene water requirement for the target date is as follows: Among them, wb rs The average daily water requirement for personal hygiene in rural areas; y rs The demand for personal sanitary water in rural areas is added as the economy develops; GDP is the local Gross Domestic Product; x rs r is the sensitivity coefficient for rural economy. rs Let be the random probability of a rural sanitation outbreak, with a value ranging from 0 to 1; nm be the total population; am be the random probability of a rural sanitation outbreak. rs The adjustment coefficient for rural personal hygiene water demand; WD AN The water requirement for livestock and poultry farming on the target date is calculated using the following formula: WD AN =WD ad +WD ah Among them, WD ad The daily water requirement for direct drinking water for livestock and poultry is calculated using the following formula: Among them, w a1 This refers to the basic daily water consumption of large livestock; nm a1 For the number of large livestock; w a2 This refers to the basic daily water intake for small livestock; nm a2 For the number of small animals; a ad t is the water demand regulation coefficient for direct drinking water in livestock and poultry farming; t is the average temperature of the target date. WD ah The formula for calculating the water requirement for cleaning the aquaculture site on the target date is as follows: WD ah =w ah ·B·(nm a1 +nm a2 )·|p ah -r ah |·a ah Among them, w ah B represents the water requirement per unit area for cleaning the aquaculture site; B represents the stocking density; a ah The water demand adjustment coefficient for cleaning aquaculture sites; p ah The frequency of aquaculture cleaning is represented by a value ranging from 0 to 1; r ah The function is a uniform random distribution function for aquaculture, with values ​​ranging from 0 to 1.

2. The method according to claim 1, characterized in that, The population information parameters include the population size and structure information of the target region; The economic information parameters include historical economic scale information of the target region; The domestic water demand parameters include urban domestic water demand parameters and / or rural domestic water demand parameters. The urban domestic water demand parameters are the parameter values ​​of various parameters that affect the urban domestic water demand of the target area, and the rural domestic water demand parameters are the parameter values ​​of various parameters that affect the rural domestic water demand of the target area. The industrial water demand parameters include various parameter values ​​that affect the industrial-related water demand of the target area; The agricultural water demand parameters include various parameter values ​​that affect the agricultural irrigation-related water demand of the target area.

3. The method according to claim 1, characterized in that, The target population economic parameters include urban population economic parameters, rural population economic parameters, and / or industrial economic parameters; the urban population economic parameters include at least one of urban population data, urban labor force data, urban non-labor force data, and local GDP; the rural population economic parameters include at least one of rural population data, rural labor force data, rural non-labor force data, livestock and poultry farming data, and local GDP; the industrial economic parameters include industrial value added data.

4. The method according to claim 3, characterized in that, The step of calculating the target water demand for each of the minimum water demand configuration units on a daily basis using the dynamic water demand algorithm, based on the target population economic additional parameters and the target water demand parameters corresponding to the target water demand type, includes: If the target water demand type of the minimum water demand configuration unit is urban domestic water demand, the urban domestic water demand of the minimum water demand configuration unit for the target date is calculated daily based on the urban population economic additional parameters and urban domestic water demand parameters; wherein, the urban domestic water demand includes at least one of urban drinking water demand, urban cooking water demand, urban toilet flushing water demand, urban personal hygiene water demand, and urban room cleaning water demand; If the target water demand type of the minimum water demand configuration unit is rural domestic water demand, the rural domestic water demand of the minimum water demand configuration unit for the target date is calculated daily based on the rural population economic additional parameters and the rural domestic water demand parameters; wherein, the rural domestic water demand includes at least one of the following: rural direct drinking water demand, rural cooking water demand, rural personal hygiene water demand, and livestock and poultry breeding water demand; If the target water demand type of the minimum water demand configuration unit is industrial water demand, the industrial water demand of the minimum water demand configuration unit for the target date is calculated daily based on the industrial economic additional parameter and the industrial water demand parameter. If the target water demand type of the minimum water demand configuration unit is agricultural water demand, the agricultural water demand of the minimum water demand configuration unit for the target date is calculated daily based on the agricultural water demand parameters.

5. The method according to claim 4, characterized in that, The daily calculation of the urban domestic water demand for the minimum water demand allocation unit on the target date based on the urban population economic surcharge parameters and urban domestic water demand parameters includes: The urban domestic water demand (WD) for the target date is calculated using the following formula. CT : WD CT =WD cd +WD cc +WD cw +WD cs +WD ch Among them, WD cd The formula for calculating the city's drinking water demand on the target date is: Among them, w ca The average daily basic drinking water intake per capita for urban residents aged 14 and above; nm ca The number of urban residents aged 14 and above; w cu The average daily basic drinking water intake per capita for urban residents under the age of 14; nm cu The number of urban residents under the age of 14; a cd The urban direct drinking water demand adjustment coefficient; t is the average temperature of the target date; WDcc represents the water requirement for cooking rice in the city on the target date, calculated using the following formula: WD cc =w cc ·{p cw ·[nm cw (1-lsr)]+p cn ·[nm cn (1+lsr)]}·a cc Among them, w cc The average daily water requirement per person for cooking in the city; p cw and p cn These represent the probability of cooking at home for both the urban working-age population and the non-working-age population, respectively; nm cw and nm cn These represent the number of urban labor force and non-labor force populations, respectively; lsr is the unemployment rate; a cc Water demand adjustment coefficient for urban cooking; WD cw The formula for calculating the city's toilet flushing water demand on the target date is: Among them, w t N represents the average basic water consumption per person per flush; N represents the average number of flushes per person per day; nm cw and nm cn These represent the number of urban labor force and non-labor force populations, respectively; lsr is the unemployment rate; t cw and t cn These represent the average time spent at home for the urban working-age population and the non-working-age population, respectively; a cw The water demand adjustment coefficient for urban toilet flushing; WD cs The formula for calculating the city's personal hygiene water requirement for the target date is as follows: Among them, wb cs The average daily water requirement for personal hygiene in urban areas; y cs The demand for personal sanitary water in cities is increased as the economy develops; GDP is the local gross national product; x cs r is the city's economic sensitivity coefficient. cs The random probability of a personal hygiene incident occurring in the city, ranging from 0 to 1; nm represents the total population; a cs The urban personal hygiene water demand adjustment coefficient; t is the average temperature of the target date; WD ch The water requirement for cleaning rooms in the city on the target date is calculated using the following formula: WD ch =w ch ·A·nm c ·|p ch -r ch |·a ch Among them, w ch Water requirement per unit area for room cleaning; A represents the average urban living space per capita; nm c The city's population; a ch The water demand adjustment coefficient for cleaning urban rooms; p ch The frequency of room cleaning in the city is represented by the value (0-1); r ch It is a uniform random distribution function, with values ​​ranging from (0 to 1).

6. The method according to claim 4, characterized in that, The daily calculation of the industrial water demand corresponding to the target date for the minimum water demand allocation unit based on the industrial economic surcharge parameter and the industrial water demand parameter includes: The industrial water demand WD for the target date is calculated using the following formula. IND : lnW Ind =a+b·lnw re +c·lnw pr +d·lnT Among them, W Ind Water consumption per 10,000 yuan of industrial added value per year; w re The annual industrial water reuse rate; w pr The annual industrial water price; T is the annual average temperature; a, b, c, and d are linear regression parameters; GDP Ind t represents the industrial added value on the target date; t represents the average temperature on the target date.

7. The method according to claim 4, characterized in that, The daily calculation of the agricultural water demand for the minimum water demand configuration unit corresponding to the target date based on the agricultural water demand parameters includes: The following formula is used to determine whether the crops in the minimum water requirement unit have entered the irrigation period on the target date: fr u ≥fr uIRR Among them, fr u The cumulative heat fraction for crops; fr uIRR The cumulative heat unit fraction for pre-setting irrigation is: H is the number of days the crop has grown up to the target date; t is the average daily temperature on the target date; t0 is the minimum temperature required for crop growth; AT max The total cumulative heat during the entire growth period of crops; If the crop enters its irrigation period on the target date, the agricultural water requirement for the target date is calculated using the following formula: Among them, WD IRR Agricultural water demand for the target date; A U ... Fc For soil field holding capacity; w Td η represents the crop's tolerance threshold for water shortage and yield reduction; η is the effective utilization coefficient of farmland irrigation water.

8. The method according to claim 1, characterized in that, The water demand configuration parameters include at least one of urban domestic water demand, rural domestic water demand, industrial water demand, and agricultural water demand. The step of allocating water resources to each water demand module for a corresponding target date based on the water demand configuration parameters includes: Based on the water demand configuration parameters of each minimum water demand configuration unit in the target area on the target date, water resources are allocated to each minimum water demand configuration unit on the corresponding target date.

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