scholarly journals Chance-Constrained Dynamic Programming for Multiple Water Resources Allocation Management Associated with Risk-Aversion Analysis: A Case Study of Beijing, China

Water ◽  
2017 ◽  
Vol 9 (8) ◽  
pp. 596 ◽  
Author(s):  
Wei Li ◽  
Kuo Jiao ◽  
Zhe Bao ◽  
Yulei Xie ◽  
Jiliang Zhen ◽  
...  
Keyword(s):  
Dynamic Programming ◽  
Water Resources ◽  
Risk Aversion ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Beijing China

scholarly journals Bilevel Multiobjective Programming Applied to Water Resources Allocation

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Shiqi Fang ◽  
Ping Guo ◽  
Mo Li ◽  
Liudong Zhang
Keyword(s):  
Water Resources ◽  
Gansu Province ◽  
Decision Makers ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Multiobjective Linear Programming ◽  
The Sustainable Development ◽  
Fuzzy Goal ◽  
Upper Level

Water allocation is an essential programming to support the sustainable development of Wuwei Basin, Gansu Province, China. To satisfy the demands of the decision makers (DMs) of each subarea and the total area, a bilevel multiobjective linear programming (BLMOLP) model is proposed. In the BLMOLP, DMs have a hierarchy of two levels—the upper level and the lower level DMs. In this paper, a fuzzy goal programming (FGP) approach is applied to solve the BLMOLP. Firstly, the upper level is solved and used as the tolerance for the lower level. Then the weights of each objective function in the lower level are evaluated. Finally, a satisfied optimization solution of the problem was calculated. The result suggests that the FGP is a simple and feasible approach to BLMOLP problems. The proposed method was applied to a case study for water resources allocation in Wuwei Basin. For four scenarios under consideration, the model can effectively balance the benefits among all regions and sections according to the priority of the upper level decision makers. The results indicate that comprehensive solutions have been obtained.

The Application of Dynamic Programming in the System Optimization of Environmental Problem

2013 ◽  
Vol 765-767 ◽  
pp. 3045-3050
Author(s):  
Jing Jing Zhao ◽  
Bao You Liu ◽  
Fu Xiang Wei
Keyword(s):  
Dynamic Programming ◽  
Water Treatment ◽  
Water Resources ◽  
Programming Problem ◽  
Shortest Path ◽  
Environmental Problem ◽  
System Optimization ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Dynamic Programming Problem

Based on the application in the system optimization of environmental problem, the solution procedures of dynamic programming are introduced. Combining with some typical problems, such as the shortest path problem, the optimum scheme problem of water treatment and the water resources allocation problem, reliability analyses of the solution procedures by LINGO software is processed. The results show that the LINGO software can effectively solve this kind of dynamic programming problem and is the effective tool to solve the environmental problems and resource problems.

An Integrated Model for Water Resources Allocation in the River Basin Based on Different Allocation Principles

2012 ◽  
Vol 212-213 ◽  
pp. 113-116
Author(s):  
Chun Xiao ◽  
Dong Guo Shao ◽  
Feng Shun Yang
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Water Use ◽  
High Efficiency ◽  
Integrated Model ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Allocation Model ◽  
Existing Problems

Aiming at the existing problems in the models of water resources allocation, the concept of friendly allocation of water resources was put forward, and based on the principles of basic water use guarantee, preference of status in quo, fairness and high efficiency, the friendly subfunctions were established and an integrated model of water resources allocation was proposed with maximizing friendly function of water resources allocation. As a case study, the proposed allocation model was applied in Fuhuan River Basin in China, and the results indicated that the model was rational and effective, which provides a new method for water resources allocation in the river basin.

Study on Integrated Approaches of Water Resources Allocation in Tianjin

2011 ◽  
Vol 243-249 ◽  
pp. 4516-4519 ◽  
Author(s):  
Jing Peng ◽  
Lan Qi ◽  
Ren Chao Wang
Keyword(s):  
Water Resources ◽  
Integrated Approach ◽  
Water Shortage ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Cultural Algorithm ◽  
Integrated Approaches

This study investigated the characteristics of various water resources in Tianjin, explored the needs for the study of water resources allocation, and identified the current issues of water resources allocation in Tianjin. The water resources allocation framework was established by adopting the cultural algorithm approach. A case study was done for Tianjin by utilizing this framework to evaluate the water resources allocation in 2008. It shows that the integrated approach of water resources allocation can effectively relieve the water shortage pressure of Tianjin, maximize the benefits for the limited water resources. This study provides a theoretical guidance for the water resources allocation in this area.

scholarly journals An optimization model for water resources allocation risk analysis under uncertainty

2013 ◽  
Vol 16 (1) ◽  
pp. 144-164 ◽  
Author(s):  
Y. L. Xie ◽  
G. H. Huang
Keyword(s):  
Water Resources ◽  
Stochastic Programming ◽  
Risk Aversion ◽  
Water Resources Management ◽  
System Stability ◽  
Conditional Value At Risk ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Two Stage ◽  
Resources Management

In order to deal with the risk of low system stability and unbalanced allocation during water resources management under uncertainties, a risk-averse inexact two-stage stochastic programming model is developed for supporting regional water resources management. Methods of interval-parameter programming and conditional value-at-risk model are introduced into a two-stage stochastic programming framework, thus the developed model can tackle uncertainties described in terms of interval values and probability distributions. In addition, the risk-aversion method was incorporated into the objective function of the water allocation model to reflect the preference of decision makers, such that the trade-off between system economy and extreme expected loss under different water inflows could be analyzed. The proposed model was applied to handle a water resources allocation problem. Several scenarios corresponding to different river inflows and risk levels were examined. The results demonstrated that the model could effectively communicate the interval-format and random uncertainties, and risk aversion into optimization process, and generate inexact solutions that contain a spectrum of water resources allocation options. They could be helpful for seeking cost-effective management strategies under uncertainties. Moreover, it could reflect the decision maker's attitude toward risk aversion, and generate potential options for decision analysis in different system-reliability levels.

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