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Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty

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  • Weiyao Tang

    (Business School, Sichuan University, Chengdu 610064, China
    These authors contributed equally to this work.)

  • Zongmin Li

    (Business School, Sichuan University, Chengdu 610064, China
    These authors contributed equally to this work.)

  • Yan Tu

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

Abstract

As large-scale hydropower projects are influenced by many factors, risk evaluations are complex. This paper considers a hydropower project as a complex system from the perspective of sustainability risk, and divides it into three subsystems: the natural environment subsystem, the eco-environment subsystem and the socioeconomic subsystem. Risk-related factors and quantitative dimensions of each subsystem are comprehensively analyzed considering uncertainty of some quantitative dimensions solved by hybrid uncertainty methods, including fuzzy (e.g., the national health degree, the national happiness degree, the protection of cultural heritage), random (e.g., underground water levels, river width), and fuzzy random uncertainty (e.g., runoff volumes, precipitation). By calculating the sustainability risk-related degree in each of the risk-related factors, a sustainable risk-evaluation model is built. Based on the calculation results, the critical sustainability risk-related factors are identified and targeted to reduce the losses caused by sustainability risk factors of the hydropower project. A case study at the under-construction Baihetan hydropower station is presented to demonstrate the viability of the risk-evaluation model and to provide a reference for the sustainable risk evaluation of other large-scale hydropower projects.

Suggested Citation

  • Weiyao Tang & Zongmin Li & Yan Tu, 2018. "Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:138-:d:126018
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