ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

A Risk-averse Two-Stage Stochastic Optimization Model for Water Resources Allocation under Uncertainty

Journal of Environmental Accounting and Management 6(1) (2018) 71--82 | DOI:10.5890/JEAM.2018.03.006

Ye Xu$^{1}$, Sha Li$^{1}$, Feng Liu$^{2}$, Jinping Qian$^{3}$, Yanpeng Cai$^{4}$, Guanhui Cheng$^{5}$

$^{1}$ MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China

$^{2}$ School of Materials and Metallurgy, University of Science and Technology Liaoning, Anshan 114051, China

$^{3}$ College of Resources and Environmental Sciences, Hebei Normal University, No.20 Road East. 2nd Ring South, Yuhua District, Shijiazhuang, Hebei, 050024 China

$^{4}$ State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China

$^{5}$ Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada S4S 0A2

Abstract

The water resource shortage has caused intense contradictions among various water users; moreover, unfair and irrational water allocation may result in the economic loss, even the social instability. A risk-averse twostage stochastic programming model (RATSP) are developed for tackling this issue. The significant contribution made by the RATSP model is that it concerns the importance of the financial risk under each scenario, where the risk is expressed as the probability of occurrence in that benefit generated under each scenario is lower than predefined target profit. It can avoid possible suboptimal solutions caused by only considering the maximization of the expected value for all scenarios as an objective function. Moreover, the risk measure is incorporated into the objective function, leading a variety of solutions under various weight coefficients and target levels, which is suitable in analyzing the trade-off between the system economy and reliability. A case of water resources management system is used to reflect the applicability and feasibility of this model. The obtained results demonstrate that the RATSP model can help decision makers gain in-depth insights into potential system risk, analyze the trade-off between system economy and stability, generate the stable water allocation schemes, and avoid the contradictions among users.

Acknowledgments

This research was supported by the Natural Sciences Foundation of China (71303017), National Key Research and Development Plan (2016YFE0102400) and Fundamental Research Funds for the Central Universities (2017MS050).

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