CN114154421A - Regional water resource control management method, device and system - Google Patents
Regional water resource control management method, device and system Download PDFInfo
- Publication number
- CN114154421A CN114154421A CN202111490251.9A CN202111490251A CN114154421A CN 114154421 A CN114154421 A CN 114154421A CN 202111490251 A CN202111490251 A CN 202111490251A CN 114154421 A CN114154421 A CN 114154421A
- Authority
- CN
- China
- Prior art keywords
- regional
- data set
- preset
- water
- ecological
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 258
- 238000007726 management method Methods 0.000 title claims abstract description 149
- 238000000034 method Methods 0.000 claims abstract description 67
- 238000005457 optimization Methods 0.000 claims abstract description 42
- 230000002068 genetic effect Effects 0.000 claims abstract description 32
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 13
- 238000004519 manufacturing process Methods 0.000 claims description 38
- 230000008901 benefit Effects 0.000 claims description 20
- 238000010276 construction Methods 0.000 claims description 19
- 230000003993 interaction Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 37
- 238000004364 calculation method Methods 0.000 description 11
- 238000010168 coupling process Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000004088 simulation Methods 0.000 description 5
- 239000002689 soil Substances 0.000 description 5
- 230000008878 coupling Effects 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000003973 irrigation Methods 0.000 description 4
- 230000002262 irrigation Effects 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 239000003621 irrigation water Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 239000003795 chemical substances by application Substances 0.000 description 2
- 230000001808 coupling effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000009472 formulation Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 230000004720 fertilization Effects 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 238000004162 soil erosion Methods 0.000 description 1
- 230000005068 transpiration Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/04—Constraint-based CAD
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Tourism & Hospitality (AREA)
- Biophysics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Genetics & Genomics (AREA)
- Computer Hardware Design (AREA)
- Educational Administration (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Public Health (AREA)
- Physiology (AREA)
- Geometry (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
Abstract
The invention discloses a method, a device and a system for controlling and managing regional water resources. The control management device comprises a data acquisition unit, a modeling solving unit and a control management unit. The control management system comprises a control management module and a data storage module. By considering regional economy, ecological processes and actual requirements of users simultaneously in the modeling solving process, the optimal configuration scheme for control management is made to be fully fit with the water resource condition of the to-be-controlled management region, and the control management method, the device and the system improve the pertinence and specificity of control management for water resources in different regions; further, the control management method, the control management device and the control management system provided by the invention solve the first pricing optimization model through a preset multi-target non-dominated sorting genetic algorithm to realize balance discussion aiming at multiple targets, so that the comprehensiveness of the control management process is improved.
Description
Technical Field
The invention relates to the field of control management of regional water resources, in particular to a method, a device and a system for control management of regional water resources.
Background
The reasonable arrangement of the water for the economic production plan is an important content of water resource allocation, and is an important means for realizing regional sustainable development and protecting ecological water.
In the prior art, the configuration of managing water resources is generally controlled by establishing water prices.
However, the existing water price enactment measures have the following defects: the lack of research on the coupling influence of the ecological process and the economic model of the watershed under agricultural irrigation enables pricing of water resources to be free from pertinence and specificity, and accordingly control and management efficiency of the water resources is low.
Therefore, there is a need for a method, an apparatus and a system for controlling and managing regional water resources, so as to overcome the above-mentioned drawbacks of the prior art.
Disclosure of Invention
In view of the above-mentioned problems, an object of the present invention is to provide a method, an apparatus and a system for controlling and managing regional water resources, so as to improve the efficiency of controlling and managing the regional water resources.
The invention provides a regional water resource control management method, which comprises the following steps: acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a management region to be controlled; according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method, modeling and solving to obtain an optimal configuration scheme; and controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data group.
In one embodiment, before acquiring the preset regional water economy data set, the regional water ecology data set and the preset expectation data set, the control management method further includes: acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in a management area to be controlled, and receiving an expected data set sent by a user; calculating to obtain a regional economic objective function according to the resource input data group, the output income data group and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data group; and calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
In one embodiment, the modeling solution to obtain the optimal configuration scheme according to the regional water resource economic data set, the preset genetic algorithm, the regional water resource ecological data set, and the preset model construction method specifically includes: constructing a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method; wherein the regional water economy data set comprises the regional economy objective function; the regional water resource ecological data set comprises the ecological water production objective function; and solving the first fixed price optimization model through a preset genetic algorithm so as to calculate and obtain an optimal configuration scheme.
In one embodiment, the constructing a first pricing optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method specifically includes: constructing an upper-layer target of a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset first constraint condition set; and constructing a lower-layer target of the first fixed price optimization model according to a preset individual economic model and a preset second constraint condition group.
In one embodiment, after performing control management on water resources of the management area to be controlled according to the optimal configuration scheme and the expected data set, the control management method further includes: and sending the control management result to the user.
The invention also provides a control management device of regional water resources, which comprises a data acquisition unit, a modeling solving unit and a control management unit, wherein the data acquisition unit is used for acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a to-be-controlled management region; the modeling solving unit is used for modeling and solving according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method to obtain an optimal configuration scheme; and the control management unit is used for controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data group.
In one embodiment, the control management apparatus further comprises a data generation unit configured to: acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in a management area to be controlled, and receiving an expected data set sent by a user; calculating to obtain a regional economic objective function according to the resource input data group, the output income data group and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data group; and calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
In one embodiment, the control management apparatus further includes a result output unit configured to send the control management result to a user.
The invention also provides a control management system of regional water resources, which comprises a control management module and a data storage module, wherein the control management module is in communication connection with the data storage module and is used for executing the control management method of regional water resources according to various data in the data storage module; the data storage module is used for storing all data.
In one embodiment, the control management system further comprises a user interaction module for displaying the control management result to a user.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a regional water resource control management method, a device and a system, which are used for making an optimal configuration scheme for control management fully fit with the water resource condition of a to-be-controlled management region by simultaneously considering regional economy, ecological processes and user actual requirements in a modeling solving process.
Further, the control management method, the control management device and the control management system provided by the invention solve the first pricing optimization model through a preset multi-target non-dominated sorting genetic algorithm to realize balance discussion aiming at multiple targets, so that the comprehensiveness of the control management process is improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which:
FIG. 1 is a flow chart illustrating one embodiment of a method for regional water resource control management in accordance with the present invention;
FIG. 2 is a flow chart of another embodiment of a regional water resource control management method according to the present invention;
FIG. 3 illustrates a line graph of one embodiment of an individual economic model according to the present invention;
FIG. 4 illustrates a line graph of one embodiment of a preset linear programming method in accordance with the present invention;
FIG. 5 is a block diagram of an embodiment of a regional water resource control management apparatus according to the present invention;
FIG. 6 is a block diagram illustrating one embodiment of a regional water resource control management system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Detailed description of the preferred embodiment
The embodiment of the invention first describes a regional water resource control and management method. FIG. 1 is a flow chart of one embodiment of a regional water resource control management method according to the invention. As shown in fig. 1, the method comprises the steps of:
and S1, acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of the management region to be controlled.
In the prior art, when water resources in each region are configured, the water resources are often considered only from the ecological or input and output aspects, but the design cannot well describe the effect of controlling and managing the water resources through water price configuration and further protecting the ecology.
In this regard, the embodiment of the present invention is designed to study the coupling process between the ecological process and the economic model in the region from the practical viewpoint and from the economic and ecological aspects. Therefore, in order to achieve the foregoing object, it is necessary to obtain at least a regional water economy data set and a regional water ecology data set within a region.
In one embodiment, the regional water resource economic data set comprises a regional economic objective function, a preset first constraint set, a preset second constraint set and an individual economic model, and the regional water resource ecological data set comprises an ecological water production objective function. The preset first constraint condition group and the preset second constraint condition group are obtained by performing front-edge construction on the regional economic objective function by using a preset linear programming model.
In one embodiment, the predetermined current planning model is a DEA model. The embodiment of the invention adopts the model because the model has the following advantages: a) the DEA model is suitable for the problem of multiple input and multiple output; b) the addition and deletion of input and output items can be carried out at any time according to specific conditions; c) the method does not need to pay attention to the problems of unit conversion of elements and the like, can be widely applied to different agricultural economic systems, and improves the universality of the patent; d) the overall technical level can be embodied without setting parameters, and the problems of errors and limitation of the parameters are avoided; e) the water consumption and the water price are directly related, the agricultural water consumption condition of farmers under different water prices aiming at benefits is reflected, and the feedback of the farmers to the water price policy is better reflected.
On this basis, since the actual requirements of the control management are not fixed in the actual control management, it is also necessary to acquire a desired data set (preset desired data set) of the user when acquiring data for subsequent calculation configuration.
And S2, according to the regional water resource economic data set, the preset genetic algorithm, the regional water resource ecological data set and the preset model construction method, modeling and solving to obtain an optimal configuration scheme.
In order to study the coupling action process of the ecological process and the economic model in the region as described above, the embodiment of the present invention performs coupling modeling according to the economic data set of the water resource of the region and the ecological data set of the water resource of the region, so as to obtain a double-layer optimization model (i.e., a first pricing optimization model described below); on the basis, in order to seek an optimal solution, a preset genetic algorithm is adopted to solve the double-layer optimization model, so that an optimal configuration scheme is obtained.
Specifically, in one embodiment, this step includes: constructing a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method; and solving the first fixed price optimization model through a preset genetic algorithm so as to calculate and obtain an optimal configuration scheme.
Because the ecological process and the economic model are considered at the same time, the embodiment of the invention adopts double-layer optimized model simulation for modeling; the double-layer optimization requires finding out the optimal solution of the lower layer target first and then finding out the optimal solution of the upper layer target. In one embodiment, the constructing a first pricing optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method specifically includes: constructing an upper-layer target of a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset first constraint condition set; and constructing a lower-layer target of the first fixed price optimization model according to a preset individual economic model and a preset second constraint condition group.
Specifically, the formula of the upper layer target is:
in the formula, Q (P)i) Is the maximum objective function of the regional economy,
is a maximum function of the ecological water yield.
Specifically, the formula of the individual economic model is:
where k is the number of elementary units of the area (water), i is the number of towns (water price), and i is located in one townkThe water price of each basic unit in the same town is the same, P is the set water price, XmFor irrigation water quantity data, WiAgricultural water conservancy operation management cost, U, of each villagenTo yield benefits.
After the first fixed price optimization model is constructed, the first fixed price optimization model can be solved according to a preset genetic algorithm. In order to solve the problem of lack of universal multi-target balance discussion in the prior art, the embodiment of the invention adopts a non-dominated sorting genetic algorithm with an elite strategy to carry out optimization solution to obtain an optimal configuration scheme. In one embodiment, the predetermined genetic algorithm is the NSGA-II method.
Algorithmically, the NSGA-ii method adopted in the embodiment of the present invention is improved on the basis of the first generation non-dominant ranking genetic algorithm, and the improvement mainly aims at the three aspects as described above: firstly, a rapid non-dominated sorting algorithm is provided, on one hand, the calculation complexity is reduced, and on the other hand, the parent population and the child population are combined, so that the next generation population is selected from a double space, and all the most excellent individuals are reserved; secondly, an elite strategy is introduced to ensure that certain excellent population individuals cannot be discarded in the evolution process, so that the precision of an optimization result is improved; and thirdly, a congestion degree and congestion degree comparison operator is adopted, so that the defect that shared parameters need to be manually specified in NSGA is overcome, and the operators are used as a comparison standard among individuals in a population, so that the individuals in the quasi-Pareto domain can be uniformly expanded to the whole Pareto domain, and the diversity of the population is ensured.
When a preset genetic algorithm is used, firstly, initializing a parent population; then, solving the first fixed price optimization model to obtain a preset number of solutions; then, according to the objective function value corresponding to each solution, performing non-dominated sorting on all solutions, and calculating an aggregation distance to evaluate the adaptability of each solution in all solutions; then, generating a progeny solution group according to genetic evolution operations such as selection, crossing and mutation of the NSGA-II method; and then, merging the child solution group and the parent solution group, evaluating the adaptability of each solution in all solutions again, judging whether the convergence condition of the NSGA-II method is met or not at present, if not, repeating the steps of solving and evaluating, and if so, taking the non-dominated solution set in all solutions as a decision space of a management subject, namely, an optimal configuration scheme (optimal water pricing).
The advantage of using the first pricing model and solving to obtain the optimal configuration scheme is that a coupling model considering an economic model and an ecological process at the same time is constructed, and a feedback mechanism of lower-layer masses after a policy is formulated is simulated, so that the policy is optimized; the method has high scientificity, and the Pareto optimal surface can observe the influence of water price change on the economy and the ecology of the basin, so that a water price policy is formulated according to different requirements.
And S3, controlling and managing the water resource of the management area to be controlled according to the optimal configuration scheme and the expected data group.
After the optimal configuration scheme is obtained through calculation, the embodiment of the invention sets the water price according to the value corresponding to the optimal configuration scheme, and collects the actual water consumption data of the individual in the area at any time for subsequent management effect analysis, thereby realizing the control management of the water resource of the area to be controlled and managed.
The embodiment of the invention describes a regional water resource control management method, which is characterized in that regional economy, ecological processes and actual user requirements are considered in a modeling solving process, so that an optimal configuration scheme for control management is made to be fully fit with the water resource condition of a management region to be controlled, and the control management method improves the pertinence and specificity of control management of water resources in different regions.
Detailed description of the invention
Furthermore, the embodiment of the invention also describes a regional water resource control and management method. Fig. 2 is a flowchart of another embodiment of a regional water resource control and management method according to the present invention.
FIG. 3 illustrates a line graph of one embodiment of an individual economic model according to the present invention.
Fig. 4 shows a line diagram of an embodiment of the method of preset linear programming according to the invention.
As shown in fig. 2, the method comprises the steps of:
a1, acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in the management area to be controlled, and receiving an expected data set sent by a user.
In one embodiment, the resource investment data set includes natural resource investment, labor resource investment, and capital investment for each water use entity in the management area to be controlled. Wherein, the natural resource investment mainly comprises land resources, water resources, local productivity conditions and the like; the labor resource investment mainly comprises labor duration and labor amount; capital investment includes factors such as seed purchase, agricultural electricity, water, employment, transportation, etc.
In one embodiment, the ecological data set includes hydrological data and irrigation data; the hydrologic data is used for establishing basic hydrologic conditions of the watershed and comprises data images of meteorological data, topographic data, river data, watershed soil, land utilization and the like; irrigation data was derived from a questionnaire.
In one embodiment, the set of yield data includes yield benefits including sales of various agricultural products.
A2, calculating to obtain a regional economic objective function according to the resource input data set, the output income data set and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data set.
Specifically, in one embodiment, the regional economic objective function is calculated as:
wherein i is the number of towns (the number of water prices), q (P)i) For different water prices, Q (P)i) Is a regional economic objective for the entire region.
Specifically, in one embodiment, the calculation formula for the town economy objective function is:
specifically, in one embodiment, the formula for calculating the benefit of the water using agent is:
on the basis, the preset calculation formula of the individual economic model is as follows:
wherein k is the number of elementary cells in the area (water), i is the number of towns (water price), m is the number of input elements in the elementary cells, n is the number of output types in the elementary cells, and i is in one townkThe water price of each basic unit in the same town is the same, P is the set water price, MKFor the benefit of the water body, WiAgricultural water conservancy operation management cost, U, of each villagenFor yield benefits, XmThe data are irrigation water quantity.
And A3, calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
In one embodiment, the preset water production model is a SWAT model.
The SWAT model structure and characteristics divides a research basin into a plurality of sub-basins according to a river network water system, different hydrology, meteorology, soil, crop growth, agricultural management measures, pesticide application and the like exist in each sub-basin, the sub-basins are divided into different Hydrologic Response Units (HRUs) according to the consistency of ground coverage, soil types and the like, each hydrologic unit independently calculates each part of water circulation and quantitative conversion relation thereof, then summary calculation is carried out, and finally the water balance relation of the basin is obtained. Each hydrological response unit is divided into a plant canopy, a root system layer, a seepage layer, a shallow water storage layer, a water-resisting layer and a deep water storage layer in the vertical direction.
The main operation principle of the model comprises 4 modules. (1) And a meteorological module. The model is provided with a weather generator, can simulate and randomly generate meteorological data (including daily precipitation, solar radiation, temperature, relative humidity and wind speed), and can play a role in extending data under the condition of shortage of meteorological series data; (2) land hydrologic cycle module. The hydrologic cycle process is calculated by adopting a modified numerical equation of the SCS runoff curve and a Green-Ampt infiltration equation; the redistribution of soil water uses a full-area runoff yield mechanism, and the calculation of the interflow adopts a dynamic storage model proposed by Sloan and the like; the simulation of the regression flow adopts the groundwater water diversion layer theory proposed by Arnold et al; the model utilizes Hargreaves, Priestley-Taylor or Penman-Monteith equation to calculate potential evapotranspiration, and the calculation of actual evapotranspiration is divided into three parts of soil evaporation, vegetation canopy interception and plant transpiration; (3) and a management module. Setting management measures in the hydrological unit according to actual conditions, such as planting structure, irrigation system, beginning and end time of crop growth season, fertilization and the like; (4) and (4) water body process. The SWAT comprises water bodies such as pond weirs, wetlands, pits, reservoirs and the like. The reservoir is used as a part of the main river network, and the pond weir, the wetland and the pit are used for calculating the land hydrologic cycle process. And (3) according to the biophysical principle basis, performing final water production simulation of the region by the swat model to obtain the water yield.
The model is used for performing ecological physical process simulation of taking water and producing water under the water of a watershed in the agricultural production process in the aspect of an ecological process at a certain water price in an area, and embodies ecological consideration in the water price formulation process. The model has the following advantages: (1) the relevant research documents of the model are rich, and the source code is easy to obtain; (2) the model development time is long and is mature. From 1990 to 20 years ago; (3) a semi-distributed model. Compared with a fully distributed model, the method is easy to understand and master, and meanwhile, the calculation speed is high; compared with a conceptual model, the method can embody the physical mechanism of water circulation and has good precision; (4) the material circulation consideration is comprehensive, and the large-area complex hydrological physical process can be simulated; 5) except for water quantity, the water-saving agent is used in non-point source pollution, water loss and soil erosion and the like, and the applicability is improved.
A4, acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a management region to be controlled.
In the prior art, when water resources in each region are configured, the water resources are often considered only from the ecological or input and output aspects, but the design cannot well describe the effect of controlling and managing the water resources through water price configuration and further protecting the ecology.
In this regard, the embodiment of the present invention is designed to study the coupling process between the ecological process and the economic model in the region from the practical viewpoint and from the economic and ecological aspects. Therefore, in order to achieve the foregoing object, it is necessary to obtain at least a regional water economy data set and a regional water ecology data set within a region.
In one embodiment, the regional water resource economic data set comprises a regional economic objective function, a preset first constraint set, a preset second constraint set and an individual economic model, and the regional water resource ecological data set comprises an ecological water production objective function. The preset first constraint condition group and the preset second constraint condition group are obtained by performing front-edge construction on the regional economic objective function by using a preset linear programming model.
In one embodiment, the predetermined current planning model is a DEA model. The embodiment of the invention adopts the model because the model has the following advantages: a) the DEA model is suitable for the problem of multiple input and multiple output; b) the addition and deletion of input and output items can be carried out at any time according to specific conditions; c) the method does not need to pay attention to the problems of unit conversion of elements and the like, can be widely applied to different agricultural economic systems, and improves the universality of the patent; d) the overall technical level can be embodied without setting parameters, and the problems of errors and limitation of the parameters are avoided; e) the water consumption and the water price are directly related, the agricultural water consumption condition of farmers under different water prices aiming at benefits is reflected, and the feedback of the farmers to the water price policy is better reflected.
On this basis, since the actual requirements of the control management are not fixed in the actual control management, it is also necessary to acquire a desired data set (preset desired data set) of the user when acquiring data for subsequent calculation configuration.
And A5, according to the regional water resource economic data set, the preset genetic algorithm, the regional water resource ecological data set and the preset model construction method, modeling and solving to obtain an optimal configuration scheme.
In order to study the coupling action process of the ecological process and the economic model in the region as described above, the embodiment of the present invention performs coupling modeling according to the economic data set of the water resource of the region and the ecological data set of the water resource of the region, so as to obtain a double-layer optimization model (i.e., a first pricing optimization model described below); on the basis, in order to seek an optimal solution, a preset genetic algorithm is adopted to solve the double-layer optimization model, so that an optimal configuration scheme is obtained.
Specifically, in one embodiment, this step includes: constructing a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method; and solving the first fixed price optimization model through a preset genetic algorithm so as to calculate and obtain an optimal configuration scheme.
Because the ecological process and the economic model are considered at the same time, the embodiment of the invention adopts double-layer optimized model simulation for modeling; the double-layer optimization requires finding out the optimal solution of the lower layer target first and then finding out the optimal solution of the upper layer target. In one embodiment, the constructing a first pricing optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method specifically includes: constructing an upper-layer target of a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset first constraint condition set; and constructing a lower-layer target of the first fixed price optimization model according to a preset individual economic model and a preset second constraint condition group.
Specifically, the formula of the upper layer target is:
in the formula, Q (P)i) Is the maximum objective function of the regional economy,
is a maximum function of the ecological water yield.
Specifically, the formula of the individual economic model is:
wherein k is the number of elementary cells in the area (water), i is the number of towns (water price), m is the number of input elements in the elementary cells, n is the number of output types in the elementary cells, and i is in one townkThe water price of each basic unit in the same town is the same, P is the set water price, MKFor the benefit of the water body, WiAgricultural water conservancy operation management cost, U, of each villagenFor yield benefits, XmThe data are irrigation water quantity.
After the first fixed price optimization model is constructed, the first fixed price optimization model can be solved according to a preset genetic algorithm. In order to solve the problem of lack of universal multi-target balance discussion in the prior art, the embodiment of the invention adopts a non-dominated sorting genetic algorithm with an elite strategy to carry out optimization solution to obtain an optimal configuration scheme. In one embodiment, the predetermined genetic algorithm is the NSGA-II method. When a preset genetic algorithm is used, firstly, initializing a parent population; then, solving the first fixed price optimization model to obtain a preset number of solutions; then, according to the objective function value corresponding to each solution, performing non-dominated sorting on all solutions, and calculating an aggregation distance to evaluate the adaptability of each solution in all solutions; then, generating a progeny solution group according to genetic evolution operations such as selection, crossing and mutation of the NSGA-II method; and then, merging the child solution group and the parent solution group, evaluating the adaptability of each solution in all solutions again, judging whether the convergence condition of the NSGA-II method is met or not at present, if not, repeating the steps of solving and evaluating, and if so, taking the non-dominated solution set in all solutions as a decision space of a management subject, namely, an optimal configuration scheme (optimal water pricing).
A6: and controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data group.
After the optimal configuration scheme is obtained through calculation, the embodiment of the invention sets the water price according to the value corresponding to the optimal configuration scheme, and collects the actual water consumption data of the individual in the area at any time for subsequent management effect analysis, thereby realizing the control management of the water resource of the area to be controlled and managed.
A7: and sending the control management result to the user.
In practical application, in order to enhance the control management method of regional water resources, an important turning point water price ratio combination is selected according to an optimal configuration scheme, different water price combinations are displayed at spatial positions by using tools such as ARCGIS and the like, the water production conditions of different hydrological units of a drainage basin corresponding to the important turning point water price combination are visualized, and the influence of water price formulation on the ecological process of the drainage basin can be compared.
The embodiment of the invention describes a regional water resource control management method, which is characterized in that regional economy, ecological processes and actual user requirements are considered in a modeling solving process, so that an optimal configuration scheme for control management is fully fitted with the water resource condition of a management region to be controlled, and the control management method improves the pertinence and specificity of control management of water resources in different regions; further, in the control management method described in the embodiment of the present invention, the first fixed price optimization model is solved through a preset multi-objective non-dominated sorting genetic algorithm, so as to implement a multi-objective trade-off discussion, thereby improving the comprehensiveness of the control management process.
Detailed description of the preferred embodiment
Besides the method, the embodiment of the invention also describes a device for controlling and managing regional water resources. Fig. 5 is a block diagram showing an embodiment of a regional water resource control management apparatus according to the present invention.
As shown in fig. 5, the control management apparatus includes a data acquisition unit 11, a modeling solution unit 12, and a control management unit 13.
The data acquisition unit 11 is configured to acquire a preset regional water economy data set, a regional water ecology data set, and a preset expectation data set of a management region to be controlled.
The modeling solving unit 12 is used for modeling and solving according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method to obtain an optimal configuration scheme.
The control management unit 13 is configured to control and manage water resources of the management area to be controlled according to the optimal configuration scheme and the expected data set.
When control management is needed, firstly, a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a to-be-controlled management region are obtained through a data obtaining unit 11; then, modeling and solving are carried out through a modeling and solving unit 12 according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method to obtain an optimal configuration scheme; and finally, controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data set through a control management unit 13.
In one embodiment, the control management apparatus further comprises a data generation unit configured to: acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in a management area to be controlled, and receiving an expected data set sent by a user; calculating to obtain a regional economic objective function according to the resource input data group, the output income data group and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data group; and calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
In one embodiment, the control management apparatus further includes a result output unit configured to send the control management result to a user.
The embodiment of the invention describes a regional water resource control management device, which is characterized in that regional economy, ecological processes and actual requirements of users are considered in a modeling solving process, so that an optimal configuration scheme for control management is fully fitted with the water resource condition of a management region to be controlled, and the control management device improves the pertinence and specificity of control management of water resources in different regions; further, the control management device described in the embodiment of the present invention further solves the first fixed price optimization model through a preset multi-objective non-dominated sorting genetic algorithm to realize multi-objective trade-off discussion, so as to improve the comprehensiveness of the control management process.
Detailed description of the invention
Besides the method and the device, the invention also describes a regional water resource control and management system. FIG. 6 is a block diagram illustrating one embodiment of a regional water resource control management system according to the present invention.
As shown in fig. 6, the control management system includes a control management module 1 and a data storage module 2, the control management module 1 is connected to the data storage module 2 in a communication manner, and the control management module 1 is configured to execute the control management method for regional water resources according to various data in the data storage module; the data storage module 2 is used for storing all data.
In one embodiment, in order to improve the visibility of the control management of regional water resources, the control management system further comprises a user interaction module, and the user interaction module is used for displaying the control management result to a user.
The embodiment of the invention describes a regional water resource control and management system, which is characterized in that regional economy, ecological processes and actual requirements of users are considered in a modeling solving process, so that an optimal configuration scheme for control and management is fully fit with the water resource condition of a management region to be controlled, and the control and management system improves the pertinence and specificity of control and management of water resources in different regions; further, the control management system described in the embodiment of the present invention further solves the first fixed price optimization model through a preset multi-objective non-dominated sorting genetic algorithm to realize multi-objective trade-off discussion, so as to improve the comprehensiveness of the control management process.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A control management method for regional water resources is characterized by comprising the following steps:
acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a management region to be controlled;
according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method, modeling and solving to obtain an optimal configuration scheme;
and controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data group.
2. The method for controlling and managing regional water resources according to claim 1, wherein before acquiring the preset regional water economy data set, the regional water ecology data set and the preset desired data set, the method further comprises:
acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in a management area to be controlled, and receiving an expected data set sent by a user;
calculating to obtain a regional economic objective function according to the resource input data group, the output income data group and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data group;
and calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
3. The method for controlling and managing regional water resources according to claim 2, wherein the modeling solution for obtaining the optimal configuration scheme according to the regional water resource economic data set, the preset genetic algorithm, the regional water resource ecological data set and the preset model construction method specifically comprises:
constructing a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset model construction method; wherein the regional water economy data set comprises the regional economy objective function; the regional water resource ecological data set comprises the ecological water production objective function;
and solving the first fixed price optimization model through a preset genetic algorithm so as to calculate and obtain an optimal configuration scheme.
4. The method for controlling and managing regional water resources according to claim 3, wherein the building of the first pricing optimization model according to the regional economic objective function, the ecological water production objective function and the preset model building method specifically comprises:
constructing an upper-layer target of a first fixed price optimization model according to a regional economic objective function, an ecological water production objective function and a preset first constraint condition set;
and constructing a lower-layer target of the first fixed price optimization model according to a preset individual economic model and a preset second constraint condition group.
5. The method for controlling and managing water resources in a region according to claim 4, wherein after the water resources in the region to be controlled and managed are controlled and managed according to the optimal allocation scheme and the expected data set, the method further comprises:
and sending the control management result to the user.
6. A control management device for regional water resources is characterized by comprising a data acquisition unit, a modeling solving unit and a control management unit,
the data acquisition unit is used for acquiring a preset regional water resource economic data set, a regional water resource ecological data set and a preset expected data set of a management region to be controlled;
the modeling solving unit is used for modeling and solving according to the regional water resource economic data set, a preset genetic algorithm, the regional water resource ecological data set and a preset model construction method to obtain an optimal configuration scheme;
and the control management unit is used for controlling and managing the water resources of the management area to be controlled according to the optimal configuration scheme and the expected data group.
7. The regional water resource control and management device according to claim 6, further comprising a data generation unit configured to:
acquiring a resource input data set, an ecological data set and a yield data set of each water use subject in a management area to be controlled, and receiving an expected data set sent by a user;
calculating to obtain a regional economic objective function according to the resource input data group, the output income data group and a preset regional benefit function, and storing the regional economic objective function into the regional water resource economic data group;
and calculating to obtain an ecological water production target function according to the ecological data set, a preset linear programming model and a preset water production model, and storing the ecological water production target function into the regional water resource ecological data set.
8. The regional water resource control and management device according to claim 7, further comprising a result output unit for sending a control and management result to a user.
9. A regional water resource control management system, which is characterized in that the control management system comprises a control management module and a data storage module, wherein the control management module is in communication connection with the data storage module, and is used for executing the regional water resource control management method according to any one of claims 1-5 according to various data in the data storage module; the data storage module is used for storing all data.
10. The regional water resource control and management system of claim 9 further comprising a user interaction module for displaying the control and management results to a user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111490251.9A CN114154421A (en) | 2021-12-08 | 2021-12-08 | Regional water resource control management method, device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111490251.9A CN114154421A (en) | 2021-12-08 | 2021-12-08 | Regional water resource control management method, device and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114154421A true CN114154421A (en) | 2022-03-08 |
Family
ID=80453428
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111490251.9A Pending CN114154421A (en) | 2021-12-08 | 2021-12-08 | Regional water resource control management method, device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114154421A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598995A (en) * | 2015-01-27 | 2015-05-06 | 四川大学 | Regional water resource allocation bi-level decision-making optimization method based on water right |
| CN107480813A (en) * | 2017-07-27 | 2017-12-15 | 河海大学 | Basin water resources Optimal Configuration Method based on multi-Objective Chaotic genetic algorithm |
| CN109784582A (en) * | 2019-02-15 | 2019-05-21 | 黄河勘测规划设计研究院有限公司 | A kind of regional economy department water distribution equalization methods and system |
| CN112668909A (en) * | 2020-12-31 | 2021-04-16 | 齐鲁工业大学 | Water resource optimal configuration method and system based on genetic algorithm |
-
2021
- 2021-12-08 CN CN202111490251.9A patent/CN114154421A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598995A (en) * | 2015-01-27 | 2015-05-06 | 四川大学 | Regional water resource allocation bi-level decision-making optimization method based on water right |
| CN107480813A (en) * | 2017-07-27 | 2017-12-15 | 河海大学 | Basin water resources Optimal Configuration Method based on multi-Objective Chaotic genetic algorithm |
| CN109784582A (en) * | 2019-02-15 | 2019-05-21 | 黄河勘测规划设计研究院有限公司 | A kind of regional economy department water distribution equalization methods and system |
| CN112668909A (en) * | 2020-12-31 | 2021-04-16 | 齐鲁工业大学 | Water resource optimal configuration method and system based on genetic algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 吴丹、吴凤萍: "基于双层优化模型的流域初始二维水权耦合配置", 《中国人口·资源与环境》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112765800B (en) | Design method of distributed water resource configuration model | |
| Khanna et al. | Carrying-capacity as a basis for sustainable development a case study of National Capital Region in India | |
| Shang et al. | An improved SWAT-based computational framework for identifying critical source areas for agricultural pollution at the lake basin scale | |
| Unver | Southeastern Anatolia Project (GAP) | |
| Wang et al. | Impacts of infrastructure construction on ecosystem services in new-type urbanization area of North China Plain | |
| CN102254237A (en) | Method for predicting and dynamically regulating regional water resource supply-demand situations | |
| Chen et al. | An interval multistage water allocation model for crop different growth stages under inputs uncertainty | |
| Pei et al. | Study on the optimization of staple crops spatial distribution in China under the influence of natural disasters | |
| Clarke-Sather | State development and the rescaling of agricultural hydrosocial governance in semi-arid Northwest China. | |
| CN112215715A (en) | Irrigation area water and soil resource balance optimization configuration method based on underground water level regulation | |
| Zhang et al. | Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization | |
| Oviroh et al. | Micro water-energy-food (MicroWEF) Nexus: a system design optimization framework for integrated natural resource conservation and development (INRCD) projects at community scale | |
| Mabhaudhi et al. | Enhancing crop water productivity under increasing water scarcity in South Africa | |
| CN114154421A (en) | Regional water resource control management method, device and system | |
| Cakmak et al. | Participatory fuzzy cognitive mapping analysis to evaluate the future of water in the Seyhan Basin | |
| Ye et al. | Applicability of photovoltaic panel rainwater harvesting system in improving water-energy-food nexus performance in semi-arid areas | |
| CN115796381A (en) | Actual runoff forecasting method based on improved Xinanjiang model | |
| CN111783323B (en) | Land hydrologic coupling simulation system and method | |
| Clarke-Sather | Hydrosocial governance and agricultural development in semi-arid northwest China | |
| Zhang et al. | Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang River Basin, north-west China | |
| Liu et al. | The research of precision irrigation decision support system based on genetic algorithm | |
| Jahangirpour et al. | Cropping pattern optimization in the context of Climate-Smart agriculture: a case study for Doroodzan irrigation network-Iran. | |
| Rastogi et al. | Advancing Water Conservation Techniques in Agriculture for Sustainable Resource Management: A review | |
| Ma et al. | Optimizing the external energy input into farmland ecosystems: a case study from Ningxia, China | |
| Thanarak et al. | GHG emission and cost performance of life cycle energy on agricultural land used for photovoltaic power plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |