Water Strategy Decisions

Abstract:

We construct two models prediction and strategy decision to simulate the optimal water strategy. Our ultimate goal is to optimally develop an effective, feasible, and cost-efficient water strategy in order to solve water crisis. Prediction model falls into a basic model and two extended models. The basic one models the problem as an improved gray prediction model (IGM). By applying IGM to fresh water needs and storage projection, we can predict future available water distribution that closely parallel to historical data. Typically, by predicting agricultural, industrial and daily-life needs separately, we obviously improve the precision of water needs projection model. Strategy decision use Water Strategy Decision (WSD) algorithm we proposed. In the graph we constructed every node represents a province and every edge means a fresh water dispatching strategy with weight. The weight of an edge is determined by AHP model in consideration of the estimation of economic, physical and environment factors.

• Periodical: Advanced Materials Research (Volumes 726-731)
• Pages: 3303-3307
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.726-731.3303
• Online since: August 2013
• Authors: Yi Jing Fu, Ping Zeng, Jie Chen, Xin Chao Zhao
• Keywords: Analysis Hierarchy Process (AHP), IGM, Water Crisis, Water Strategy, WSD

References

[1] Gray system prediction, 7 2011. Viewed on 2013 February 1. Available at http://wenku.baidu.com/view/d5669149e45c3b3567ec8b09.html.

[2] Ioannis C.Karagiannis. Water desalination cost literature: review and assessment. Computer and Digital Engineering, 223(2008):448–456, 2007.

DOI: 10.1016/j.desal.2007.02.071

[3] PENG Yong. An improved gray prediction model. Computer and Digital Engineering, 1(40):40–62, 2012.

[4] Yuan Zhou. Evaluating the costs of desalination and water transport. Water Resources Research, 41(W03003), 200