CN107944603A - Water resource optimal allocation newsboy's method based on water total amount control - Google Patents
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Abstract
The present invention relates to hydraulic engineering field, more particularly, to a kind of water resource optimal allocation newsboy's method based on water total amount control.Comprise the following steps：S1. according to water distribution transmission conditions and water requirement is needed, each water supply data and water requirement data are gathered；S2. the data that S1 steps are gathered are combined, using economic, society and ecological environment comprehensive benefit as maximum target, determine object function and with water coefficient；S3. the constraints according to the data qualification composition water resource optimal allocation in water resource simulation system；S4. the water resource optimal allocation Emulation of Newsboy Model of water total amount control is solved.The present invention closely combines the social proposition of current water total amount control and the dynamic-change information of water price market for water, reflect influence of the different water total amount Con trolling index schemes to water user's net profit, effectively coordinate basin water, needed water, water total amount to control the relation between water distribution index, meet southern high intensity Water District water feature.
Description
Technical Field
The invention relates to the field of hydraulic engineering, in particular to a water resource optimal allocation child-reporting method based on total water consumption control.
Background
Under the current changing environment, the distribution of the regional water supply process tends to be extremely advanced, and the water supply, consumption and drainage relation of the water supply link is changed newly. In order to stop extensive water consumption and control blind increase of regional water consumption, rigid constraint is defined on the total amount of regional water consumption by three red lines of the strictest water resource management, the water demand outside a river channel caused by regional economic growth and population expansion is increased, and the contradiction between water resource supply and demand is more prominent. The optimal allocation of water resources is a fundamental way to adjust the time-space uneven distribution of water resources, mismatching of the incoming water and the required water, improve the utilization efficiency of the water resources and enhance the risk resistance of a water resource system. The optimal allocation of water resources under the control of the total water consumption is one of important support technologies for coping with the changing environment and providing water safety guarantee for the regional health development. However, most of the existing water resource allocation researches do not relate to the proposition of total water consumption control, and a small amount of the research generally only simply puts the total water consumption control as a constraint in multi-target analysis, but does not treat the total water consumption control as a state variable. In the water resource allocation economic benefit target, dynamic changes of water cost such as water price and water fee cannot be effectively considered. The optimal configuration of water resources under a changing environment is brought into a social proposition of total water consumption control for research, and on one hand, a reasonable water quantity regulation scheme is provided for regional water safety guarantee under the influence of climate change and severe human activities and constrained by the total water consumption control; on the other hand, the method is also helpful for enriching theories and methods for water resource optimization configuration research in the changing environment.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a water resource optimal allocation child-reporting method based on total water consumption control, and realizes the optimal allocation of water resources under the control of the total water consumption.
In order to solve the problems, the technical scheme provided by the invention is as follows: a water resource optimal allocation child-reporting method based on total water consumption control comprises the following steps:
s1, collecting water supply data and water demand data according to water distribution transmission conditions and water demand requirements;
s2, determining a target function and a water distribution coefficient by combining the data acquired in the step S1 and taking economic, social and ecological environment comprehensive benefits as maximum targets;
s3, forming a constraint condition of water resource optimal allocation according to data conditions in the water resource simulation system;
and S4, solving a water resource optimization configuration child-reporting model controlled by the total water consumption.
Further, the determining of the objective function comprises determining an economic benefit objective function, determining a social benefit objective function and determining an ecological environmental benefit objective function.
Further, the determining the economic benefit objective function comprises the following steps:
s211, recording the water distribution amount of a user at each time interval as n cubic meters according to the child reporting mode idea, wherein within the limit of total water consumption control amount as T, the gross income per 1 cubic meter is a, the cost is b, and the net income is a-b; when the water distribution amount exceeds the total water consumption control amount T, paying a claim c every time the water distribution amount exceeds 1 cubic meter; recording the available water supply amount of the incoming water after the regulation of the reservoir as r and the time interval water demand amount as D; the water resource allocation based on total water usage control (control quantity T < D, otherwise belonging to water resource allocation without total control) exists in three states:
s212, when the water inflow r after the reservoir regulation is more than or equal to T and more than D, the water inflow can completely meet the condition of water demand, and the actual water distribution is restricted by the total water consumption control limit; water can be distributed according to the water demand D, and the part exceeding the total water consumption control limit needs to be compensated;
and if the water distribution quantity is N = T > D, the scheme water distribution D is carried out, the water supply benefit is (a-b) D, the compensation is c (D-T), and the net benefit is as follows:
f 1 (N)＝(a-b)D-c(D-T)；
s213, when the water volume r after reservoir regulation is less than or equal to T and less than D, the incoming water is not enough to meet the water consumption control quantity, and even the water demand requirement is not met, and the control limit of the total water consumption cannot be broken through by sufficient water distribution;
and (3) the water distribution quantity N = r is less than or equal to T and less than D, the water r is distributed according to a scheme, and the net benefit is as follows:
f 2 (N)＝(a-b)r；
s214, when the water volume r of the regulated and stored water of the reservoir is larger than or equal to T and r is smaller than D, namely D > r is larger than or equal to T, the water can completely meet the water volume controlled by the total water volume, but the water demand is not met, the actual water distribution is restricted by the control limit of the total water volume, the water can be distributed according to the water volume r, the control volume T is exceeded, the requirement of the water demand D is not met, and meanwhile, the compensation is carried out on the part exceeding the control limit T of the total water volume;
and (3) if the water distribution quantity N = r is more than or equal to T, the scheme is used for distributing water r, the water supply benefit is (a-b) r, the compensation is c (r-T), and the net benefit is as follows:
f 3 (N)＝(a-b)r-c(r-T)；
s15, setting a certain area which can be divided into K computing units; k =1,2,3, … K; each computing unit is provided with J water using departments, J =1,2,3 and … J; i is the total number of water distribution time periods, I =1,2,3, … I; the water demand, the water distribution and the water use control quantity of the computing unit k and the section i in time period are respectively D ij ，N ij ，T ij And if the total economic benefit of water distribution in each time interval during water distribution is G, optimally configuring the economic net benefit of the newborn model by using the basin water resource based on the total water consumption control T according to the objective function:
further, at present, there is no unified method for measuring social benefits of water resource optimization configuration, generally, the goal is to minimize total water shortage in a region or maximize supply and demand coordinated scheduling in a water resource year, in order to minimize total water shortage in a drainage basin and simultaneously consider fairness and harmony of production, life and ecological water, the social benefit objective function embodies social benefits R by maximizing water supply guarantee rate in each water user time period, and the calculation formula is as follows:
in the formula: t is t kj Compute partition j for kThe water distribution amount of the water part door meets the sum of time periods of water demand; i is the total time period number of water distribution.
Further, the ecological environmental benefit objective function is as follows: and the ecological environmental benefit is embodied by the minimum discharge amount of main pollutants in the sewage discharge amount, and the objective function E of the ecological environmental benefit is expressed as follows:
in the formula: d j The concentration of main pollutants in the wastewater discharge of the jth water department is mg/L; p is a radical of j The discharge coefficient of the waste water of the jth water department is the discharge coefficient of the waste water of the jth water department; n is a radical of hydrogen ij The water distribution amount of the water department is used for the period j.
Furthermore, a large-system decomposition coordination principle is taken as a technical support, a gradual capacity-expanding constraint method is adopted, the initial water distribution amount is determined firstly to replace the water inflow amount regulated and stored by a reservoir in an objective function, and then the multi-round regulation is carried out by combining with a newborn mode thought, so that the relation among the initial water distribution amount, the water demand amount, the total water consumption amount control index and the water distribution amount in the coordination objective function is optimized until the optimal water distribution amount is obtained, and the comprehensive benefit of water distribution is maximized; the step S4 comprises the following steps:
s41, dividing a drainage basin water resource system into a water-requiring subsystem and a water-supplying subsystem, wherein the water-supplying subsystem supplies water supply as the input of the water-requiring subsystem, the water-requiring subsystem provides a water-requiring requirement for the water-supplying subsystem, and the water-supplying subsystem supplies water to the water-requiring subsystem according to the water-requiring requirement;
s42, through river bank combined scheduling, firstly estimating water supply amount, analyzing the water demand satisfaction degree in a time period, contrasting and configuring a target function, feeding back the operation information of the water supply subsystem and the water demand subsystem to a balance coordination level, continuously adjusting a water distribution coefficient, and repeating iteration in such a way to obtain an initial water distribution amount;
s43, according to a gradual capacity-expanding constraint method, based on initial water distribution, combined with a child-reporting mode thought, under a child-reporting optimization mode, considering a time-interval water demand and total water consumption control index, and according to a comprehensive benefit maximum principle, adjusting the water distribution, so as to realize multi-target problem solution of economic benefit, social benefit and ecological environment benefit, and preferably and finally giving an optimal water distribution.
Compared with the prior art, the beneficial effects are: the invention provides a water resource optimal allocation child-reporting method based on total water consumption control, which closely combines the social proposition of current total water consumption control and the dynamic change information of water price water market, reflects the influence of different total water consumption control index schemes on the net income of consumers, effectively coordinates the relationship among the water supply, water demand, total water consumption control and water distribution indexes of a drainage basin, and conforms to the water consumption characteristics of high-strength water areas in the south; meanwhile, the rationality of water distribution is demonstrated by the change of the water purification income of the water consumers, so that the water distribution result is closer to the actual water use condition.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a flow chart of the present invention for solving the model of the water resource optimization allocation of the newborn based on the total water consumption control.
FIG. 3 shows the water consumption control indexes of each user in the scheme A and the scheme B in the embodiment of the invention.
Fig. 4 is a resource supply and demand balance analysis (2020) of the east river basin of Guangdong province in the embodiment of the present invention.
Fig. 5 shows the water purification benefit (2020) for each consumer in the east river basin of Guangdong province in the embodiment of the invention.
FIG. 6 is a schematic diagram of generalized network nodes of a water resource system of the Dongjiang river basin of Guangdong province in the embodiment of the present invention.
Detailed Description
As shown in fig. 1 and fig. 2, a method for optimally configuring a newborn based on water resource total water consumption control includes the following steps:
s1, collecting water supply data and water demand data according to water distribution transmission conditions and water demand requirements;
s2, determining a target function and a water distribution coefficient by combining the data acquired in the step S1 and taking economic, social and ecological environment comprehensive benefits as maximum targets;
s3, forming a constraint condition of water resource optimal configuration according to data conditions in the water resource simulation system;
and S4, solving a water resource optimal configuration child-reporting model controlled by the total water consumption.
Specifically, the determining the objective function comprises determining an economic benefit objective function, determining a social benefit objective function and determining an ecological environment benefit objective function.
Wherein, determining the economic benefit objective function comprises the following steps:
s211, recording the water distribution amount of a user at each time interval as n cubic meters according to the child reporting mode idea, wherein within the limit of total water consumption control amount as T, the gross income per 1 cubic meter is a, the cost is b, and the net income is a-b; when the water distribution amount exceeds the total water consumption control amount T, paying a claim c every time the water distribution amount exceeds 1 cubic meter; recording the available water supply amount of the incoming water after the regulation of the reservoir as r and the time interval water demand amount as D; the water resource allocation based on total water usage control (control quantity T < D, otherwise belonging to water resource allocation without total control) exists in three states:
s212, when the water inflow r after the reservoir regulation is more than or equal to T and more than D, the water inflow can completely meet the condition of water demand, and the actual water distribution is restricted by the total water consumption control limit; water can be distributed according to the water demand D, and the part exceeding the total water consumption control limit needs to be compensated;
and if the water distribution quantity is N = T > D, the scheme water distribution D is carried out, the water supply benefit is (a-b) D, the compensation is c (D-T), and the net benefit is as follows:
f 1 (N)＝(a-b)D-c(D-T)；
s213, when the water inflow r after the reservoir regulation is less than or equal to T and less than D, the water inflow can not meet the water consumption control quantity, the water demand requirement can not be met, and the control limit of the total water consumption can not be broken through by sufficient water distribution;
the water distribution quantity N = r is less than or equal to T < D, then the water r is distributed in the scheme, and the net benefit is as follows:
f 2 (N)＝(a-b)r；
s214, when the water volume r of the regulated and stored water of the reservoir is larger than or equal to T and r is smaller than D, namely D > r is larger than or equal to T, the water can completely meet the water volume controlled by the total water volume, but the water demand is not met, the actual water distribution is restricted by the control limit of the total water volume, the water can be distributed according to the water volume r, the control volume T is exceeded, the requirement of the water demand D is not met, and meanwhile, the compensation is carried out on the part exceeding the control limit T of the total water volume;
and (3) if the water distribution quantity N = r is more than or equal to T, the scheme is used for distributing water r, the water supply benefit is (a-b) r, the compensation is c (r-T), and the net benefit is as follows:
f 3 (N)＝(a-b)r-c(r-T)；
s15, setting a certain area which can be divided into K computing units; k =1,2,3, … K; each computing unit is provided with J water using departments, J =1,2,3 and … J; i is the total number of water distribution time periods, I =1,2,3, … I; the water demand, the water distribution and the water use control quantity of the computing unit k and the section i in time period are respectively D ij ，N ij ，T ij And if the total economic benefit of water distribution in each time interval during water distribution is G, optimally configuring the economic net benefit of the newborn model by using the basin water resource based on the total water consumption control T according to the objective function:
in addition, at present, there is no unified method to measure the social benefit of water resource optimization configuration, generally, the goal is to minimize the total water shortage of the basin or maximize the co-scheduling of supply and demand in the year of water resources, in order to minimize the total water shortage of the basin and simultaneously consider the fairness and harmony of production, life and ecological water, the social benefit objective function embodies the social benefit R by the highest guarantee rate of water supply at each water user time interval, and the calculation formula is as follows:
in the formula: t is t kj Calculating the sum of time periods when the water distribution quantity of the water department of the subarea j meets the water demand quantity for k; i is the total time period number of water distribution.
Wherein, the ecological environmental benefit objective function is: and the ecological environmental benefit is embodied by the minimum discharge amount of main pollutants in the sewage discharge amount, and the objective function E of the ecological environmental benefit is expressed as follows:
in the formula: d j The concentration of main pollutants in the wastewater discharge of the jth water department is mg/L; p is a radical of j The discharge coefficient of the waste water of the jth water department is the discharge coefficient of the waste water of the jth water department; n is a radical of ij The water distribution amount of the water department is used for the period j.
Specifically, a large-system decomposition coordination principle is used as a technical support, a gradual capacity-expansion constraint method is adopted, initial water distribution amount is determined firstly, the water inflow amount after reservoir regulation in an objective function is replaced, and then multi-round calculation is carried out by combining a newborn mode thought, and the relation among the initial water distribution amount, the water demand amount, the total water consumption control index and the water distribution amount in the coordination objective function is optimized until the optimal water distribution amount is obtained, so that the comprehensive benefit of water distribution is maximized; the S4 step comprises:
s41, dividing a drainage basin water resource system into a water-requiring subsystem and a water-supplying subsystem, wherein the water-supplying subsystem supplies water supply as the input of the water-requiring subsystem, the water-requiring subsystem provides a water-requiring requirement for the water-supplying subsystem, and the water-supplying subsystem supplies water to the water-requiring subsystem according to the water-requiring requirement;
s42, through river bank combined scheduling, firstly estimating water supply amount, analyzing the water demand satisfaction degree in a time period, contrasting and configuring a target function, feeding back the operation information of the water supply subsystem and the water demand subsystem to a balance coordination level, continuously adjusting a water distribution coefficient, and repeating iteration in such a way to obtain an initial water distribution amount;
s43, according to a gradual capacity-expanding constraint method, based on initial water distribution, combined with a child-reporting mode thought, under a child-reporting optimization mode, considering a time-interval water demand and total water consumption control index, and according to a comprehensive benefit maximum principle, adjusting the water distribution, so as to realize multi-target problem solution of economic benefit, social benefit and ecological environment benefit, and preferably and finally giving an optimal water distribution.
Examples
Taking the east river basin of Guangdong province as an example, a water resource optimal allocation newborns model based on total water consumption control is adopted to carry out multi-level optimal allocation on the basin water resource.
Step 1. Division of computing units
According to the water system distribution characteristics and the water resource partition of the Dongjiang river basin, factors such as a water supply system and an administrative division are considered, the water resource system of the Dongjiang river basin is generalized, the basin is divided into 8 computing units, and nodes of the computing units and the generalized engineering are shown in FIG. 6.
Step 2. Data collection
Collecting 1956-2005 water resource runoff long sequences (including reservoirs, interval incoming water and transit water) of Dongjiang drainage basin in Guangdong province, and configuring a horizontal year in 2020; the water demand index is derived from a recommended water demand scheme of Guangdong Water-saving resource comprehensive planning; the scheme of the total water consumption control index is derived from the scheme of decomposition of the total water consumption control index in Guangdong province.
Step 3, determining a control index scheme
Through integral optimization, the water resource supply and demand conditions and the water use net income in 2020 years of the drainage basin under two water total quantity control index schemes are contrastingly analyzed. In this embodiment, determination of the total water consumption control index scheme is not specially studied, and here, a total water consumption control index scheme set is formed by selecting a low domestic water consumption control index scheme (i.e., scheme a) and a high domestic water consumption control index scheme (i.e., scheme B), where each water consumption control index in the schemes a and B is shown in fig. 3:
step 4, determining index parameters
According to a river-reservoir joint scheduling mode, considering the targets of economy, society, ecological environment and the like, and solving the established Dongjiang river basin water resource optimization configuration newcastle model based on water total amount control by adopting a gradual tolerant constraint method and a hierarchical analysis method. The indexes such as the water use net income of each water user unit and the penalty amount exceeding the water use control amount in the economic benefit target of the configuration model are determined according to the following principles: the water purification income for agricultural production refers to a historical water use efficiency index and a future horizontal year economic and social development index planning value, and is expressed by dividing the total output value by the water use amount; the net income of industrial and domestic water is expressed by the water price of domestic water; and determining the ecological water utilization net income by referring to the agricultural water utilization net income according to the water distribution priority satisfying sequence. Based on the water purification income of each water user, the penalty of unit excess water consumption is determined by referring to domestic and foreign related research results.
Step 5, model solving and configuration results
The embodiment only lists the total water distribution results of the east river basin of Guangdong province under the two water total quantity control index schemes in 2020 horizontal years, namely the sum of the water distribution results of 8 calculation units. The water resource supply and demand conditions of 5 kinds of water supply frequency (including extremely withered years) and the average condition of many years are shown in fig. 4; the water purification benefits for each consumer are shown in fig. 5.
Aiming at the social proposition of total water consumption control, the invention introduces a child-reporting mode thought in economics into a water resource optimal allocation system, establishes a east river basin water resource optimal allocation child-reporting model based on total water consumption control, adopts a large-system decomposition coordination theory as a technical support, applies a gradual tolerant constraint method to carry out multi-level water resource optimal allocation from a basin to each water consumer, closely combines the social proposition of current total water consumption control and dynamic change information of a water price water market, reflects the influence of different total water consumption control index schemes on the net income of the water consumer, effectively coordinates the relationship among water supply, water demand, total water consumption control and water allocation indexes of the basin, and accords with the characteristics of high-strength water consumption area water consumption in the south. Meanwhile, the rationality of water distribution is demonstrated by the change of the water purification income of the water consumers, so that the water distribution result is closer to the actual water use condition.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. This need not be, nor should it be exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (6)
1. A water resource optimal allocation child-reporting method based on total water consumption control is characterized by comprising the following steps:
s1, collecting water supply amount data and water demand amount data according to water distribution transmission conditions and water demand requirements;
s2, determining a target function and a water distribution coefficient by combining the data acquired in the step S1 and taking economic, social and ecological environment comprehensive benefits as maximum targets;
s3, forming a constraint condition of water resource optimal allocation according to data conditions in the water resource simulation system;
and S4, solving a water resource optimization configuration child-reporting model controlled by the total water consumption.
2. The model of claim 1, wherein the objective function determination comprises an economic benefit objective function, a social benefit objective function, and an ecological benefit objective function.
3. The model of claim 2, wherein the determining the economic benefit objective function comprises the following steps:
s211, recording the water distribution amount of a user at each time interval as n cubic meters according to the child-reporting mode idea, wherein in the amount of total water consumption control amount as T, the hair income per 1 cubic meter is a, the cost is b, and the net income is a-b; when the water distribution amount exceeds the total water consumption control amount T, the compensation c is compensated every time the water distribution amount exceeds 1 cubic meter; recording the available water supply amount of the incoming water after the regulation of the reservoir as r and the time interval water demand amount as D;
s212, when the water inflow r after the regulation and storage of the reservoir is larger than or equal to T and larger than D, and the water distribution amount N = T and larger than D, the scheme is used for distributing water D, the water supply benefit is (a-b) D, the compensation is c (D-T), and the net benefit is:
f 1 (N)＝(a-b)D-c(D-T)；
s213, when the water inflow r after reservoir regulation is less than or equal to T and less than D, and the water distribution quantity N = r and less than or equal to T and less than D, the water r is distributed according to a scheme, and the net benefit is as follows:
f 2 (N)＝(a-b)r；
s214, when the water inflow amount r after the storage regulation of the reservoir is larger than or equal to T but r is smaller than D, namely D > r is larger than or equal to T, and the water distribution amount N = r is larger than or equal to T, the water r is distributed according to a scheme, the water supply benefit is (a-b) r, the compensation c (r-T) is carried out, and the net benefit is:
f 3 (N)＝(a-b)r-c(r-T)；
s15, setting a certain area which can be divided into K computing units; k =1,2,3, … K; each computing unit is provided with J water using departments, J =1,2,3 and … J; i is the total number of water distribution time periods, I =1,2,3, … I; the water demand, the water distribution and the water use control quantity of the computing unit k and the section i in time period are respectively D ij ，N ij ，T ij And if the total economic benefit of water distribution in each time interval during water distribution is G, optimally configuring the economic net benefit of the newborn model by using the basin water resource based on the total water consumption control T according to the objective function:
4. the model of claim 2, wherein the social benefit objective function is: the social benefit R is reflected by the highest water supply guarantee rate of each water user time interval, and the calculation formula is as follows:
in the formula: t is t kj Calculating the sum of time periods when the water distribution quantity of the water consumption department of the subarea j meets the water demand quantity for k; i is the total time period number of water distribution.
5. The model as claimed in claim 2, wherein the eco-benefit objective function is: and the ecological environmental benefit is embodied by the minimum discharge amount of main pollutants in the sewage discharge amount, and the objective function E of the ecological environmental benefit is expressed as follows:
in the formula: d j The concentration of main pollutants in the wastewater discharge of the jth water department is mg/L; p is a radical of formula j The discharge coefficient of the waste water of the jth water department is the discharge coefficient of the waste water of the jth water department; n is a radical of ij The water distribution amount of the water department is used for the period j.
6. The model for optimizing allocation of newborns based on total water consumption control according to any one of claims 1 to 5, wherein the step S4 comprises:
s41, dividing a drainage basin water resource system into a water-requiring subsystem and a water-supplying subsystem, wherein the water-supplying subsystem supplies water supply as the input of the water-requiring subsystem, the water-requiring subsystem provides a water-requiring requirement for the water-supplying subsystem, and the water-supplying subsystem supplies water to the water-requiring subsystem according to the water-requiring requirement;
s42, through river bank combined scheduling, firstly estimating water supply amount, analyzing the water demand satisfaction degree in a time period, contrasting and configuring a target function, feeding back the operation information of the water supply subsystem and the water demand subsystem to a balance coordination level, continuously adjusting a water distribution coefficient, and repeating iteration in such a way to obtain an initial water distribution amount;
s43, according to a gradual capacity-expanding constraint method, based on initial water distribution, combined with a child-reporting mode thought, under a child-reporting optimization mode, considering a time-interval water demand and total water consumption control index, and according to a comprehensive benefit maximum principle, adjusting the water distribution, so as to realize multi-target problem solution of economic benefit, social benefit and ecological environment benefit, and preferably and finally giving an optimal water distribution.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108305018A (en) * | 2018-03-16 | 2018-07-20 | 肖鑫茹 | A kind of accurate clean manufacturing benefit evaluation system of evaluation |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268645A (en) * | 2014-09-25 | 2015-01-07 | 杨树滩 | Industry water supplying quantity determining method with water supplying priority level taken into consideration in water resource allocation |
| CN104657591A (en) * | 2015-01-19 | 2015-05-27 | 华北电力大学 | Method and device for configuring water resource |
| CN105297827A (en) * | 2015-10-16 | 2016-02-03 | 贵州省水利水电勘测设计研究院 | Water resource allocation method taking multi-user water demand and multi-source water supply into consideration |
| CN106096759A (en) * | 2016-06-01 | 2016-11-09 | 中国石油天然气股份有限公司 | Uncertainty optimal configuration method for oil field water resource system |
-
2017
- 2017-11-09 CN CN201711100109.2A patent/CN107944603A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268645A (en) * | 2014-09-25 | 2015-01-07 | 杨树滩 | Industry water supplying quantity determining method with water supplying priority level taken into consideration in water resource allocation |
| CN104657591A (en) * | 2015-01-19 | 2015-05-27 | 华北电力大学 | Method and device for configuring water resource |
| CN105297827A (en) * | 2015-10-16 | 2016-02-03 | 贵州省水利水电勘测设计研究院 | Water resource allocation method taking multi-user water demand and multi-source water supply into consideration |
| CN106096759A (en) * | 2016-06-01 | 2016-11-09 | 中国石油天然气股份有限公司 | Uncertainty optimal configuration method for oil field water resource system |
Non-Patent Citations (1)
| Title |
|---|
| 何艳虎等: ""东江流域水资源优化配置报童模式研究"", 《水力发电学报》 * |
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