A regional unconventional water source utilization amount control index decomposition method and system
Patent Information
- Application Number
- CN202611066064.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-17
- Publication Date
- 2026-10-16
AI Technical Summary
然而,目前缺乏统一的非常规水源指标分解技术与方法
本申请提供的一种区域非常规水源利用量控制指标分解方法及系统,统筹考虑了上级(区域)部门管理要求和下级(子区域)部门执行诉求;且在非常规水源利用量控制指标分解过程中定量地考虑了各子区域在水资源禀赋条件、用水指标余量空间、现行管理文件中非常规水源利用量控制指标、未来非常规水源利用潜力及非常规水源规划项目计划利用规模等方面的综合影响,提出的区域非常规水源利用量控制指标分解方法,能够避免等比例增加法、等量增加法等现有方法的片面性,可为区域决策者提供现实可行的非常规水源利用量控制指标分解方案。
Smart Images

Figure CN122928107A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of unconventional water source allocation and utilization technology, specifically to a method and system for decomposing regional unconventional water source utilization control indicators. Background Technology
[0002] Unconventional water sources refer to treated reclaimed water, rainwater harvesting, seawater and desalinated seawater, mine (well) water, brackish water, etc., which can be utilized or directly utilized under certain conditions. Developing and utilizing unconventional water sources plays a vital role in increasing water supply, reducing sewage discharge, and optimizing the water resource allocation system. It is of great significance for alleviating the contradiction between water supply and demand and improving water resource utilization efficiency. To promote the utilization and allocation of reclaimed water sources, unconventional water sources need to be included in the unified water resource allocation, and the scale and proportion of their utilization should be expanded year by year. However, currently, there is a lack of unified technologies and methods for decomposing unconventional water source indicators.
[0003] Currently, there are many models and methods for optimizing the allocation of conventional water resources, but relatively few methods for allocating unconventional water source indicators. These mainly include quota methods, proportional methods, and potential assessment methods. These methods are essentially top-down, directive allocation methods. Furthermore, in the process of decomposing unconventional water source utilization control indicators, they do not quantitatively consider the comprehensive impact of factors such as the water resource endowment conditions of each sub-region, the remaining space of water use indicators, the utilization indicator requirements in current management documents, the future potential utilization, and the planned utilization scale of unconventional water source planning projects. Therefore, the allocation scheme for unconventional water source utilization control indicators may be difficult to implement. Summary of the Invention
[0004] To address the problems existing in the prior art, this invention provides a method and system for decomposing regional unconventional water source utilization control indicators. Based on the current unconventional water source utilization situation of sub-regions, and comprehensively considering the impact of differences between sub-regions in terms of water resource endowment conditions, water use index margin space, unconventional water source utilization control indicators in current management documents, potential utilization of unconventional water sources during the planning period, and planned utilization scale of unconventional water source planning projects, the regional unconventional water source utilization control indicators are rationally allocated.
[0005] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.
[0006] According to a first aspect of this application, a method for decomposing regional unconventional water resource utilization control indicators is provided, comprising: The region was divided into a finite number of sub-regions, and basic data on the decomposition of control indicators for unconventional water resource utilization in the region were collected. Based on basic data, obtain the limits of unconventional water source utilization, water resource endowment conditions, and water use index margin space for each sub-region. Based on the coupling method of sub-regional water resource endowment condition value and water use index surplus space value, the coupling coefficient of each sub-regional water resource endowment condition value and water use index surplus space value is obtained. Based on the coupling coefficient of the lower limit of unconventional water source utilization index, water resource endowment condition value and water use index surplus space value of each sub-region, the utility function of unconventional water source utilization index allocation of each sub-region is obtained. Based on the limits of unconventional water source utilization indicators in each sub-region, the utility function of unconventional water source utilization indicator allocation in the sub-region, and the unconventional water source utilization control indicators to be decomposed in the region, a decomposition model of unconventional water source utilization control indicators in the region is constructed. The LINGO branch and bound global optimization algorithm is used to solve the decomposition model to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
[0007] In some embodiments of this application, based on the foregoing scheme, the division of the region into There are finite subregions, and the set of all subregions is . any subregion Belonging to this set, that is The basic data includes the current unconventional water source utilization volume of each sub-region, the unconventional water source utilization control indicators in current management documents, the potential unconventional water source utilization volume during the planning period, the planned utilization scale data of unconventional water source planning projects, and the unconventional water source utilization control indicators to be allocated in the region. Based on the basic data, the corresponding unconventional water source utilization indicator limits for each sub-region are obtained, including: Based on the basic data, the lower limit values of the unconventional water source utilization index for each sub-region are obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Lower limit of unconventional water source utilization index; It is a sub-region Current usage of unconventional water sources; It is a sub-area in the current management documents Control indicators for the utilization of unconventional water sources; It is a sub-region Planned utilization scale of unconventional water source planning projects; It is a sub-region Potential utilization of unconventional water sources during the planning period; Based on the basic data, the upper limit value of the unconventional water source utilization index for each sub-region is obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Upper limit of the utilization index of unconventional water sources; It is a sub-region Allocation index for unconventional water source utilization based on the method of increasing the current utilization by an equal amount; It is a sub-region Allocation index for unconventional water source utilization based on the method of proportionally increasing the current utilization volume; It is a sub-region The allocation of unconventional water source utilization indicators is based on the method of increasing control indicators by the same amount in the existing management documents. It is a sub-region The allocation of unconventional water source utilization indicators is based on the method of proportionally increasing control indicators in existing management documents. It is a control indicator for the amount of unconventional water resources to be decomposed in the region.
[0008] In some embodiments of this application, based on the foregoing scheme, the basic data includes the multi-year average total water resources of each sub-region, and the water resource endowment value corresponding to each sub-region is obtained based on the basic data, including: The multi-year average total water resources of each sub-region are normalized to obtain the water resource endowment value of each sub-region.
[0009] In some embodiments of this application, based on the foregoing scheme, the basic data includes the total water consumption index and current water consumption of each sub-region. Obtaining the water consumption index reserve space value corresponding to each sub-region based on the basic data includes: Obtain the difference between the total water consumption index and the current water consumption in each sub-region, and calculate the ratio between the difference and the total water consumption index. The ratio of the difference to the total water consumption index is normalized to obtain the water consumption index margin space value for each sub-region.
[0010] In some embodiments of this application, based on the foregoing scheme, the method for obtaining the coupling coefficient between the water resource endowment condition value and the water use index surplus space value of each sub-region, including: Constructing regional water resource endowment conditions and regional water use index margin spatial values A dimensional vector is calculated using the following formula: ; In the formula: It is the regional water resource endowment value dimensional vector; It is the regional water use index margin space value dimensional vector; These are subregion 1, subregion 2, ..., subregion The water resource endowment value; These are subregion 1, subregion 2, ..., subregion Water usage index margin space value; This represents the total number of sub-regions. Introducing weight coefficient vector Regional water resource endowment condition value vector and the spatial value vector of regional water use index margin The formula for linear combination is: ; In the formula: It is a vector of regional water resource endowment conditions. Water usage index margin space value vector A linear combination vector; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; and These are the regional water resource endowment condition value vectors. Water usage index margin space value vector The weighting coefficients, here .
[0011] Obtain the regional water resource endowment condition value vector Water usage index margin space value vector Distance function value: ; To ensure and The degree of difference between them corresponds to the degree of difference between their weight coefficients, and the following relationship is established: ; ; Solving for the results and The weight coefficient vector is used to obtain the coupling coefficient between the water resource endowment condition value and the water use index margin space value of each sub-region.
[0012] In some embodiments of this application, based on the aforementioned scheme, the utility function for allocating unconventional water source utilization indicators for each sub-region is obtained based on the coupling coefficient of the lower limit value of the unconventional water source utilization index, the water resource endowment condition value, and the water use index surplus space value of each sub-region. The calculation formula is as follows: ; In the formula: It is a sub-region Utility function for allocating unconventional water source utilization indicators; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; It is a sub-region Lower limit of unconventional water source utilization index.
[0013] In some embodiments of this application, based on the aforementioned scheme, the decomposition model of regional unconventional water source utilization control indicators is constructed based on the unconventional water source utilization index limits for each sub-region, the utility function for the allocation of unconventional water source utilization indexes for each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region. The mathematical expression is as follows: Objective function: ; Constraints: ; In the formula: It is the objective function of the decomposition model of regional unconventional water source utilization control index. It is the average of the utility functions of the allocation of unconventional water resource utilization control indicators for all sub-regions; It is a sub-region Utility function for allocating unconventional water source utilization indicators; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a control indicator for the amount of unconventional water source utilization to be allocated in the region. It is a sub-region Lower limit of unconventional water source utilization index; It is a sub-region Upper limit of the utilization index of unconventional water sources; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; This represents the total number of sub-regions.
[0014] In some embodiments of this application, based on the aforementioned scheme, the LINGO branch-and-bound global optimization algorithm is used to solve the decomposition model to obtain the decomposition scheme of the regional unconventional water resource utilization control index. The calculation formula is as follows: ; In the formula: It is a decomposition scheme for the control indicators of unconventional water source utilization in the region; These are subregion 1, subregion 2, ..., subregion The allocation ratio of control indicators for unconventional water source utilization; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a control indicator for the amount of unconventional water resources to be decomposed in the region.
[0015] According to a second aspect of this application, a regional unconventional water resource utilization control index decomposition system is provided, comprising: The first acquisition module is used to divide the region into a finite number of sub-regions and collect basic data on the decomposition of the regional unconventional water source utilization control indicators. The second acquisition module is used to acquire, based on the basic data, the limit values of unconventional water source utilization indicators, water resource endowment conditions, and water use indicator surplus space values for each sub-region. The third acquisition module is used to obtain the coupling coefficient of water resource endowment condition value and water use index surplus space value of each sub-region based on the coupling method of sub-region water resource endowment condition value and water use index surplus space value. The fourth acquisition module is used to obtain the utility function of unconventional water source utilization index allocation for each sub-region based on the coupling coefficient of the lower limit value of unconventional water source utilization index, water resource endowment condition value and water use index surplus space value of each sub-region. The fifth acquisition module is used to construct a decomposition model of unconventional water source utilization control indicators in the region based on the limit values of unconventional water source utilization indicators in each sub-region, the utility function of the allocation of unconventional water source utilization indicators in each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region. The decomposition model is solved by using a branch and bound global optimization algorithm to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
[0016] According to a third aspect of this application, an electronic device is provided, comprising: One or more processors; A memory for storing executable instructions of the processor, which, when executed by the one or more processors, cause the one or more processors to implement the method described above.
[0017] The beneficial effects of this application are as follows: This application provides a method and system for decomposing regional unconventional water source utilization control indicators. It comprehensively considers the management requirements of higher-level (regional) departments and the implementation demands of lower-level (sub-regional) departments. In the process of decomposing unconventional water source utilization control indicators, it quantitatively considers the comprehensive impact of each sub-region on water resource endowment conditions, water use quota surplus space, unconventional water source utilization control indicators in current management documents, future unconventional water source utilization potential, and the planned utilization scale of unconventional water source planning projects. The proposed method for decomposing regional unconventional water source utilization control indicators can avoid the one-sidedness of existing methods such as the proportional increase method and the equal increase method, and can provide regional decision-makers with a realistic and feasible decomposition scheme for unconventional water source utilization control indicators.
[0018] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and do not limit this application. Attached Figure Description
[0019] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and are intended to explain the invention, but do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a flowchart of a method for decomposing regional unconventional water source utilization control indicators according to the present invention. Figure 2 The water resource endowment conditions for six sub-regions in a certain city are shown in a specific embodiment of the present invention. Figure 3 This is a specific embodiment of the present invention showing the water use index margin space values for six sub-regions in a certain city; Figure 4 This is a specific embodiment of the invention, showing the spatial coupling coefficients between water resource endowment conditions and water use index margins in six sub-regions of a certain city. Figure 5 This is a specific embodiment of the decomposition model of the present invention, with and without considering water resource endowment conditions and water use quota margin space; Figure 6 This is a schematic diagram of a regional unconventional water source utilization control index decomposition system according to the present invention. Figure 7 This is a schematic diagram of an electronic device according to the present invention. Detailed Implementation
[0020] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0021] It should be understood that the terms "comprising" and other similar expressions in the specification, claims, and accompanying drawings of this invention are intended to cover a non-exclusive inclusion, such as a process, method, system, or apparatus that includes a series of steps or units and is not limited to the listed steps or units. Furthermore, "first" and "second" are used to distinguish different objects and are not intended to describe a specific order.
[0022] According to the first aspect of this application, Figure 1 As shown in the figure, this embodiment provides a method for decomposing regional unconventional water source utilization control indicators, including: Step S1: Divide the region into a finite number of sub-regions and collect basic data on the decomposition of the regional unconventional water source utilization control index.
[0023] In some embodiments of this example, step S1 involves dividing the region into a finite number of sub-regions and collecting basic data on the decomposition of unconventional water resource utilization control indicators for the region. Specifically: Step S11: Based on the administrative boundaries, the area is divided into... There are finite subregions, and the set of all subregions is . any subregion Belonging to this set, that is .
[0024] Step S12: Collect basic data on the decomposition of regional unconventional water source utilization control indicators, including regional unconventional water source utilization control indicators to be decomposed, multi-year average total water resources of each sub-region, total water consumption control indicators of each sub-region, current water consumption of each sub-region, current unconventional water source utilization of each sub-region, unconventional water source utilization control indicators of each sub-region in the current management documents, potential utilization of unconventional water sources during the planning period, and planned utilization scale of unconventional water source planning projects.
[0025] Step S2: Based on the basic data, obtain the limits of unconventional water source utilization, water resource endowment conditions, and water use index margin space for each sub-region.
[0026] In this embodiment, water resource endowment conditions refer to the inherent natural background characteristics of a region's water resources, formed by the long-term comprehensive effects of natural factors such as climate, topography, geology, and hydrology. These are the inherent natural water resource foundation conditions of a region, unaffected by human development activities. This invention quantifies these conditions using the normalized value of the multi-year average total water resources of each sub-region. This factor is considered because if a sub-region has superior water resource endowment conditions, its dependence on unconventional water sources is weaker; therefore, from this perspective alone, the sub-region can be allocated fewer unconventional water source utilization quotas. Water use quota surplus space refers to the difference between a region's current water consumption and the total water consumption quota issued in policy documents. This invention normalizes the proportion of the difference between the total water consumption quota and the current water consumption in each sub-region to obtain the water use quota surplus space value for each sub-region. If the water use quota surplus space value of a sub-region is smaller, it indicates a tighter water consumption quota for that sub-region. Therefore, when decomposing the regional unconventional water source utilization control quota, from this perspective alone, more quotas should be allocated to that sub-region.
[0027] In some embodiments of this example, the basic data includes the current unconventional water source utilization volume of each sub-region, the unconventional water source utilization control indicators in current management documents, the potential unconventional water source utilization volume during the planning period, the planned utilization scale data of unconventional water source planning projects, and the unconventional water source utilization control indicators to be decomposed in the region. Based on the basic data, the limits for unconventional water source utilization indicators corresponding to each sub-region are obtained, including: Based on the basic data, the lower limit values of the unconventional water source utilization index for each sub-region are obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Lower limit of unconventional water source utilization index, in 10,000 m³; It is a sub-region Current unconventional water source utilization volume: 10,000 m³; It is a sub-area in the current management documents Control targets for unconventional water source utilization, in 10,000 m³. It is a sub-region The planned utilization scale of unconventional water source planning projects is 10,000 m³. It is a sub-region Potential utilization volume of unconventional water sources during the planning period, in tens of thousands of m³; Based on the basic data, the upper limit value of the unconventional water source utilization index for each sub-region is obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Upper limit of unconventional water source utilization index, in 10,000 m³; It is a sub-region The unconventional water source utilization allocation index is based on the method of increasing the current utilization by an equal amount, in ten thousand m³. It is a sub-region The unconventional water source utilization allocation index is based on the method of proportionally increasing the current utilization volume, in ten thousand m³. It is a sub-region The unconventional water source utilization allocation index is based on the method of equal increase of control indicators in the existing management documents, in ten thousand m³. It is a sub-region The unconventional water source utilization allocation index is based on the method of proportionally increasing control indicators in the existing management documents, in ten thousand m³. It is a regional control indicator for the amount of unconventional water resources to be utilized, in tens of thousands of cubic meters.
[0028] In some embodiments of this example, the basic data includes the multi-year average total water resources of each sub-region. The water resource endowment value corresponding to each sub-region is obtained based on the basic data, including: The multi-year average total water resources of each sub-region are normalized to obtain the water resource endowment value of each sub-region.
[0029] Specifically, the calculation formula is as follows: ; In the formula: It is a sub-region The water resource endowment value is dimensionless. It is a sub-region The average annual total water resources amount to 10,000 m³.
[0030] In some embodiments of this example, the basic data includes the total water consumption index and current water consumption of each sub-region. Based on the basic data, the remaining water consumption index space value for each sub-region is obtained, including: Obtain the difference between the total water consumption index and the current water consumption in each sub-region, and calculate the ratio between the difference and the total water consumption index. The ratio of the difference to the total water consumption index is normalized to obtain the water consumption index margin space value for each sub-region.
[0031] Specifically, the formula for calculating the ratio between the difference in each sub-region and the total water consumption index is as follows: ; In the formula: It is a sub-region The difference between the total water consumption index and its current water consumption, in ten thousand m³; It is a sub-region The total water consumption control target value, in ten thousand m³; It is a sub-region Current water consumption, in 10,000 m³; It is a sub-region The proportion of the total regional water consumption index to the current water consumption index is dimensionless.
[0032] The formula for calculating the water use index margin space value of each sub-region is as follows: ; In the formula: It is a sub-region The water use index margin space value is dimensionless.
[0033] Step S3: Based on the coupling method of water resource endowment condition value and water use index surplus space value, obtain the coupling coefficient of water resource endowment condition value and water use index surplus space value of each sub-region.
[0034] In some embodiments of this example, the method for obtaining the coupling coefficient between the water resource endowment condition value and the water use index surplus space value of each sub-region, based on the coupling method between the water resource endowment condition value and the water use index surplus space value, includes: Based on the construction of regional water resource endowment value and water use index surplus space value A dimensional vector is calculated using the following formula: ; In the formula: It is the regional water resource endowment value dimensional vector; It is the regional water use index margin space value dimensional vector; These are subregion 1, subregion 2, ..., subregion The water resource endowment value; These are subregion 1, subregion 2, ..., subregion Water usage index margin space value; Introducing weight coefficient vector Regional water resource endowment condition value vector and the spatial value vector of regional water use index margin The formula for linear combination is: ; In the formula: It is a vector of regional water resource endowment conditions. Water usage index margin space value vector A linear combination vector; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; and These are the regional water resource endowment condition value vectors. Water usage index margin space value vector The weighting coefficients, here .
[0035] Obtain the regional water resource endowment condition value vector Water usage index margin space value vector Distance function value: ; To ensure and The degree of difference between them corresponds to the degree of difference between their weight coefficients, and the following relationship is established: ; ; Solving for the results and The weight coefficient vector is used to obtain the coupling coefficient between the water resource endowment condition value and the water use index margin space value of each sub-region.
[0036] Thus, the coupling coefficient between the water resource endowment value and the water use index surplus space value of each sub-region is incorporated into the utility function of the allocation of conventional water source utilization control index for each sub-region, so as to comprehensively consider the impact of the sub-region's water resource endowment value and water use index surplus space value on the allocation result.
[0037] Step S4: Based on the coupling coefficient of the lower limit of the unconventional water source utilization index, the water resource endowment condition value, and the water use index surplus space value of each sub-region, obtain the utility function of the allocation of the unconventional water source utilization index of each sub-region.
[0038] In some embodiments of this example, the utility function for allocating unconventional water source utilization indicators in each sub-region is obtained based on the coupling coefficient of the lower limit value of the unconventional water source utilization index, the water resource endowment condition value, and the water use index surplus space value of each sub-region. The calculation formula is as follows: ; In the formula: It is a sub-region The utility function for allocating unconventional water resource utilization indicators is dimensionless. It is a sub-region Allocation value of control indicators for unconventional water source utilization, in ten thousand m³; Step S5: Based on the limits of unconventional water source utilization indicators in each sub-region, the utility function of unconventional water source utilization indicator allocation in each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region, construct a decomposition model of unconventional water source utilization control indicators in the region, and use the LINGO branch and bound global optimization algorithm to solve the decomposition model to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
[0039] In some embodiments of this example, the decomposition model of the regional unconventional water source utilization control index is constructed based on the unconventional water source utilization index limit of each sub-region, the utility function of the unconventional water source utilization index allocation of the sub-region, and the unconventional water source utilization control index to be decomposed in the region. The mathematical expression is as follows: Objective function: ; Constraints: ; In the formula: It is the objective function of the decomposition model of regional unconventional water source utilization control index, and is dimensionless. It is the average value of the utility function of the allocation of unconventional water resource utilization control indicators for all sub-regions, and is dimensionless.
[0040] In some embodiments of this example, the LINGO branch-and-bound global optimization algorithm is used to solve the decomposition model to obtain the decomposition scheme of the regional unconventional water source utilization control index. The calculation formula is as follows: ; In the formula: It is a decomposition scheme for the control indicators of unconventional water source utilization in the region; These are subregion 1, subregion 2, ..., subregion The allocation ratio of non-conventional water source utilization control indicators is dimensionless.
[0041] The following is a detailed description of a method for decomposing regional unconventional water source utilization control indicators provided in this embodiment, using a specific example. (See appendix.) Figure 2 This paper uses the decomposition of the control target for unconventional water source utilization in a prefecture-level city as an example to introduce the specific implementation process of this method. The prefecture-level city can be divided into six sub-regions: A, B, C, D, E, and F. The minimum unconventional water source utilization target assigned to the city by the superior authority is 55.5 million m³. 3 The current management documents for the city specify a control target of 5.5 million cubic meters for the use of unconventional water sources. 3 The current unconventional water source utilization volume is 12.54 million cubic meters. 3The results of collecting basic data in step S1, such as the multi-year average total water resources, total water consumption control indicators, current water consumption, current unconventional water source utilization, unconventional water source utilization control indicators in current management documents, potential utilization of unconventional water sources during the planning period, and planned utilization scale of unconventional water source planning projects, are shown in Table 1.
[0042] Table 1. Basic Data on the Decomposition of Control Indicators for Unconventional Water Source Utilization in a Certain City Unit: 10,000 m³
[0043] Based on the basic data collected in Table 1, such as the current unconventional water source utilization in each sub-region, the control indicators for unconventional water source utilization in the current management documents, the potential utilization of unconventional water sources during the planning period, and the planned utilization scale of unconventional water source planning projects, the unconventional water source utilization index limit values for the six sub-regions of the city can be calculated according to the calculation method for the sub-regional unconventional water source utilization index limit values proposed in step S2, including the upper limit and lower limit values. The results are shown in Table 2.
[0044] Table 2. Calculation Results of Limits for Unconventional Water Source Utilization in Various Sub-regions of a Certain City Unit: 10,000 m³
[0045] Based on the multi-year average total water resources data collected in Table 1 for each sub-region, and according to the sub-region water resource endowment quantification method proposed in step S2, the water resource endowment value of the six sub-regions of the city was calculated. The results are shown in Table 1. Figure 3 Calculations show that the water resource endowment conditions in sub-regions E and F are relatively high, while the water resource endowment condition value in sub-region B is the lowest.
[0046] Based on the total water consumption control indicators and current water consumption data collected in Table 1 for each sub-region, and according to the sub-region water consumption indicator surplus space quantification method proposed in step S2, the water consumption indicator surplus space values for the six sub-regions of the city are calculated. The results are shown in [Table 1]. Figure 4 Calculations show that sub-region D has the smallest water usage quota margin, indicating that the total water usage quota for this sub-region is the most strained; while sub-regions B, E, and F have relatively larger water usage quota margins, indicating that the total water usage quotas for these sub-regions are more lenient.
[0047] Based on the calculation results of water resource endowment conditions and water use quota surplus space values for the six sub-regions of a certain city in step S2, the coupling method of sub-regional water resource endowment conditions and water use quota surplus space proposed in step S3 is used to calculate the coupling coefficient of water resource endowment conditions and water use quota surplus space for each sub-region. The results are shown in […]. Figure 5Calculations show that the spatial coupling coefficient between water resource endowment and water use quota surplus is relatively large in sub-regions E and F, while it is smallest in sub-region D.
[0048] Based on the coupling coefficients of the lower limit values of unconventional water source utilization indicators for each sub-region in step S2, the water resource endowment conditions and water use indicator surplus space values in step S3, the utility function of the allocation of unconventional water source utilization indicators for each sub-region is obtained according to the calculation method in step S4.
[0049] Based on the unconventional water source utilization index limit values for each sub-region in step S2, the utility function for the allocation of unconventional water source utilization index values for each sub-region in step S4, and the unconventional water source utilization control index to be decomposed in the region, the decomposition model of the regional unconventional water source utilization control index in step S5 is constructed.
[0050] The unconventional water source utilization control indicators to be decomposed in the region collected in step S1, the basic data in Table 1, the unconventional water source utilization indicator limits for each sub-region calculated in step S2 (Table 2), and the spatial coupling coefficient of water resource endowment conditions and water use indicator surplus for each sub-region calculated in step S3 are used. Figure 4 Using the data as input, the LINGO branch-and-bound global optimization algorithm is employed to solve the decomposition model of regional unconventional water source utilization control indicators, yielding the following decomposition scheme: .
[0051] Figure 5 The model's allocation schemes are presented with and without consideration of water resource endowment and water use quota surplus space. Compared to not considering water resource endowment and water use quota surplus space, the allocation ratio of unconventional water source utilization control indicators increases in sub-regions C and D due to the consideration of the influence of water resource endowment and water use quota surplus space, while it decreases in other sub-regions.
[0052] Because sub-region C has the highest current unconventional water source utilization, a small margin in total water consumption indicators, the largest potential utilization of unconventional water sources during the planning period, and the largest planned utilization scale of unconventional water source planning projects, it receives the largest allocation of unconventional water source utilization control indicators. Conversely, sub-region D has a low current unconventional water source utilization, relatively favorable water resource endowment conditions, a large margin in total water consumption indicators, a small potential utilization of unconventional water sources during the planning period, and no planned projects are implemented, therefore, it receives the smallest allocation of unconventional water source utilization control indicators.
[0053] According to the second aspect of this application, such as Figure 6 As shown in the figure, this embodiment provides a regional unconventional water source utilization control index decomposition system, including: The first acquisition module is used to divide the region into a finite number of sub-regions and collect basic data on the decomposition of the regional unconventional water source utilization control indicators. The second acquisition module is used to acquire, based on the basic data, the limit values of unconventional water source utilization indicators, water resource endowment conditions, and water use indicator surplus space values for each sub-region. The third acquisition module is used to obtain the coupling coefficient of water resource endowment condition value and water use index surplus space value of each sub-region based on the coupling method of sub-region water resource endowment condition value and water use index surplus space value. The fourth acquisition module is used to obtain the utility function of unconventional water source utilization index allocation for each sub-region based on the coupling coefficient of the lower limit value of unconventional water source utilization index, water resource endowment condition value and water use index surplus space value of each sub-region. The fifth acquisition module is used to construct a decomposition model of unconventional water source utilization control indicators in the region based on the limit values of unconventional water source utilization indicators in each sub-region, the utility function of the allocation of unconventional water source utilization indicators in each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region. The decomposition model is solved by using a branch and bound global optimization algorithm to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
[0054] Specifically, this embodiment corresponds one-to-one with the above method embodiments. The functions of each module have been described in detail in the corresponding method embodiments, so they will not be repeated here.
[0055] According to a third aspect of this application, this embodiment provides a computer-readable storage medium having a computer program stored thereon, the computer program including executable instructions that, when executed by a processor, implement the method described above.
[0056] The present invention can implement all or part of the processes in the above methods, or it can be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include: any entity or system capable of carrying computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.
[0057] According to the fourth aspect of this application, such as Figure 7As shown, an electronic device is provided, comprising: One or more processors; Memory is used to store executable instructions for the processor, which, when executed by one or more processors, cause one or more processors to implement the methods described above.
[0058] Electronic devices are manifested in the form of general-purpose computing devices. Components of an electronic device may include, but are not limited to: at least one processor, at least one memory, and a bus connecting different system components (including memory and processor).
[0059] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of a computer system, connecting all parts of the computer system through various interfaces and lines.
[0060] Memory can be used to store computer programs and / or modules. The processor implements various functions of the computer system by running or executing the computer programs and / or modules stored in the memory, and by accessing data stored in the memory. Memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system and at least one application program required for a function (e.g., sound playback, image playback, etc.); the data storage area can store data created based on the use of the mobile phone (e.g., audio data, video data, etc.). Furthermore, memory can include high-speed random access memory, and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, SmartMedia Cards (SMC), Secure Digital (SD) cards, Flash Cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.
[0061] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, servers, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and memory) containing computer-usable program code.
[0062] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), servers, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.
[0063] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction set implemented in a process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0064] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0065] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
[0066] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0067] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for decomposing regional unconventional water source utilization control indicators, characterized in that, include: The region was divided into a finite number of sub-regions, and basic data on the decomposition of control indicators for unconventional water resource utilization in the region were collected. Based on basic data, obtain the limits of unconventional water source utilization, water resource endowment conditions, and water use index margin space for each sub-region. Based on the coupling method of water resource endowment condition value and water use index surplus space value, the coupling coefficient of water resource endowment condition value and water use index surplus space value of each sub-region is obtained. Based on the coupling coefficient of the lower limit of unconventional water source utilization index, water resource endowment condition value and water use index surplus space value of each sub-region, the utility function of unconventional water source utilization index allocation of each sub-region is obtained. Based on the limits of unconventional water source utilization indicators in each sub-region, the utility function of unconventional water source utilization indicator allocation in each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region, a decomposition model of unconventional water source utilization control indicators in the region is constructed. The LINGO branch and bound global optimization algorithm is used to solve the decomposition model to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
2. The method according to claim 1, characterized in that, The region is divided into There are finite subregions, and the set of all subregions is . any subregion Belonging to this set, that is The basic data includes the current unconventional water source utilization volume of each sub-region, the unconventional water source utilization control indicators in current management documents, the potential unconventional water source utilization volume during the planning period, the planned utilization scale data of unconventional water source planning projects, and the unconventional water source utilization control indicators to be allocated in the region. Based on the basic data, the corresponding unconventional water source utilization indicator limits for each sub-region are obtained, including: Based on the basic data, the lower limit values of the unconventional water source utilization index for each sub-region are obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Lower limit of unconventional water source utilization index; It is a sub-region Current usage of unconventional water sources; It is a sub-area in the current management documents Control indicators for the utilization of unconventional water sources; It is a sub-region Planned utilization scale of unconventional water source planning projects; It is a sub-region Potential utilization of unconventional water sources during the planning period; Based on the basic data, the upper limit value of the unconventional water source utilization index for each sub-region is obtained, and the calculation formula is as follows: ; In the formula: It is a sub-region Upper limit of the utilization index for unconventional water sources; It is a sub-region Allocation index for unconventional water source utilization based on the method of increasing the current utilization by an equal amount; It is a sub-region Allocation index for unconventional water source utilization based on the method of proportionally increasing the current utilization volume; It is a sub-region The allocation of unconventional water source utilization indicators is based on the method of increasing control indicators by the same amount in the existing management documents. It is a sub-region The allocation of unconventional water source utilization indicators is based on the method of proportionally increasing control indicators in existing management documents. It is a control indicator for the amount of unconventional water resources to be decomposed in the region.
3. The method according to claim 1, characterized in that, The basic data includes the multi-year average total water resources of each sub-region. Based on the basic data, the water resource endowment conditions corresponding to each sub-region are obtained, including: The multi-year average total water resources of each sub-region are normalized to obtain the water resource endowment value of each sub-region.
4. The method according to claim 1, characterized in that, The basic data includes the total water consumption index and current water consumption of each sub-region. Based on the basic data, the remaining water consumption index space value for each sub-region is obtained, including: Obtain the difference between the total water consumption index and the current water consumption in each sub-region, and calculate the ratio between the difference and the total water consumption index; The ratio of the difference to the total water consumption index is normalized to obtain the water consumption index margin space value for each sub-region.
5. The method according to claim 1, characterized in that, The method based on the coupling of water resource endowment conditions and water use index margin space values obtains the coupling coefficient of water resource endowment conditions and water use index margin space values for each sub-region, including: Constructing regional water resource endowment conditions and regional water use index margin spatial values A dimensional vector is calculated using the following formula: ; In the formula: It is the regional water resource endowment value dimensional vector; It is the regional water use index margin space value dimensional vector; These are subregion 1, subregion 2, ..., subregion The water resource endowment value; These are subregion 1, subregion 2, ..., subregion Water usage index margin space value; This represents the total number of sub-regions. Introducing weight coefficient vector Regional water resource endowment condition value vector and the spatial value vector of regional water use index margin The formula for linear combination is: ; In the formula: It is a vector of regional water resource endowment conditions. Water usage index margin space value vector A linear combination vector; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; and These are the regional water resource endowment condition value vectors. Water usage index margin space value vector The weighting coefficients, here ; Obtain the regional water resource endowment condition value vector Water usage index margin space value vector Distance function value: ; To ensure and The degree of difference between them corresponds to the degree of difference between their weight coefficients, and the following relationship is established: ; ; Solving for the results and The weight coefficient vector is used to obtain the coupling coefficient between the water resource endowment condition value and the water use index margin space value of each sub-region.
6. The method according to claim 1, characterized in that, The utility function for allocating unconventional water source utilization indicators in each sub-region is obtained based on the coupling coefficient of the lower limit value of unconventional water source utilization indicators, water resource endowment conditions, and water use indicator surplus space value of each sub-region. The calculation formula is as follows: ; In the formula: It is a sub-region Utility function for allocating unconventional water source utilization indicators; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; It is a sub-region Lower limit of unconventional water source utilization index.
7. The method according to claim 1, characterized in that, Based on the limits of unconventional water source utilization indicators for each sub-region, the utility function of unconventional water source utilization indicator allocation for each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region, a decomposition model of regional unconventional water source utilization control indicators is constructed, the mathematical expression of which is: Objective function: ; Constraints: ; In the formula: It is the objective function of the decomposition model of regional unconventional water source utilization control indicators; It is the average of the utility functions of the allocation of unconventional water resource utilization control indicators for all sub-regions; It is a sub-region Utility function for allocating unconventional water source utilization indicators; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a control indicator for the amount of unconventional water source utilization to be allocated in the region. It is a sub-region Lower limit of unconventional water source utilization index; It is a sub-region Upper limit of the utilization index of unconventional water sources; It is a sub-region The coupling coefficient between water resource endowment conditions and water use index margin space values; This represents the total number of sub-regions.
8. The method according to claim 1, characterized in that, The LINGO branch-and-bound global optimization algorithm is used to solve the decomposition model to obtain the decomposition scheme of the regional unconventional water source utilization control index. The calculation formula is as follows: ; In the formula: It is a decomposition scheme for the control indicators of unconventional water source utilization in the region; These are subregion 1, subregion 2, ..., subregion The allocation ratio of control indicators for unconventional water source utilization; It is a sub-region Allocation values for non-conventional water source utilization indicators; It is a control indicator for the amount of unconventional water resources to be decomposed in the region.
9. A system for decomposing control indicators for regional unconventional water source utilization, characterized in that, include: The first acquisition module is used to divide the region into a finite number of sub-regions and collect basic data on the decomposition of the regional unconventional water source utilization control indicators. The second acquisition module is used to acquire, based on the basic data, the limit values of unconventional water source utilization indicators, water resource endowment conditions, and water use indicator surplus space values for each sub-region. The third acquisition module is used to obtain the coupling coefficient of water resource endowment condition value and water use index surplus space value of each sub-region based on the coupling method of sub-region water resource endowment condition value and water use index surplus space value. The fourth acquisition module is used to obtain the utility function of unconventional water source utilization index allocation for each sub-region based on the coupling coefficient of the lower limit value of unconventional water source utilization index, water resource endowment condition value and water use index surplus space value of each sub-region. The fifth acquisition module is used to construct a decomposition model of unconventional water source utilization control indicators in the region based on the limit values of unconventional water source utilization indicators in each sub-region, the utility function of the allocation of unconventional water source utilization indicators in each sub-region, and the unconventional water source utilization control indicators to be decomposed in the region. The decomposition model is solved by using a branch and bound global optimization algorithm to obtain the decomposition scheme of unconventional water source utilization control indicators in the region.
10. An electronic device, characterized in that, include: One or more processors; A memory for storing executable instructions of the processor, which, when executed by the one or more processors, cause the one or more processors to perform the method according to any one of claims 1-8.