Optimal allocation of regional water resources: From a perspective of equity–efficiency tradeoff

2016 ◽  
Vol 109 ◽  
pp. 102-113 ◽  
Author(s):  
Zhineng Hu ◽  
Yazhen Chen ◽  
Liming Yao ◽  
Changting Wei ◽  
Chaozhi Li
2018 ◽  
Vol 20 (4) ◽  
pp. 946-959 ◽  
Author(s):  
Fu Zhenghui ◽  
Wang Yuqi ◽  
Lu Wentao ◽  
Zhao Haojin ◽  
Liu Jiaju ◽  
...  

Abstract The cross-regional water diversion project has been widely applied as an important way to relieve water pressure. Study about the tradeoff between multiple regions and multiple water use sectors has caused widespread concern. In this study, an inexact two-stage water resources management model for multi-region water resources planning with a large-scale water diversion project has been developed. The water sources in 11 districts, including independent water sources and public water sources diverted from the project, are considered in the optimization model. Water supply cost and recourse cost are analyzed in the objective function. Based on interval-parameter programming and two-stage stochastic programming, uncertainties in the water resources system are described by both interval values and probability distributions. The result indicates that the water diversion project would greatly change the composition of the water resource system and settle the uneven distribution of regional water resources to achieve district-optimal allocation of water resources. In general, the proposed method can help decision-makers to formulate water management strategies for rational utilization of all kinds of water resources in different regions.


2018 ◽  
Vol 38 ◽  
pp. 03055
Author(s):  
Xi rui-chao ◽  
Gu yu-jie

Starting from the basic concept of optimal allocation of water resources, taking the allocation of water resources in Tianjin as an example, the present situation of water resources in Tianjin is analyzed, and the multi-objective optimal allocation model of water resources is used to optimize the allocation of water resources. We use LINGO to solve the model, get the optimal allocation plan that meets the economic and social benefits, and put forward relevant policies and regulations, so as to provide theoretical which is basis for alleviating and solving the problem of water shortage.


2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.


1979 ◽  
Vol 10 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Torkil Jønch-Clausen

A methodology is presented for the optimal allocation of water resources in a region, considering the economic and hydrologic characteristics of the water resources system. In order to systematically represent the hydrologically interdependent regional water resources system the allocation problem is formulated and solved in an input-output framework. The optimization approach is one of iterative quadratic programming, capable of minimizing a concave objective function over a linear constraint set. For purposes of testing and illustration the methodology has been applied to the Cache la Poudre River basin in northern Colorado. Results from this application are briefly discussed.


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