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Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach

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  • Q. Tan
  • G. Huang
  • Y. Cai

Abstract

This paper presents the development and the first application of a superiority–inferiority-based inexact fuzzy-stochastic quadratic programming (SI-IFSQP) approach for sustainable water supply under multiple uncertainties. SI-IFSQP improves conventional nonlinear programming by tackling multiple uncertainties within an individual parameter; SI-IFSQP is also superior to existing inexact methods due to its reflection of economies of scale and reduction of computational requirements. An interactive solution algorithm with high computational efficiency was also proposed. The application of SI-IFSQP to long-term planning of a multi-source multi-sector water supply system demonstrated its applicability. The close reflection of system complexities, such as multiple uncertainties, scale economies and dynamic parameters, could enhance the robustness of the optimization process as well as the acceptability of obtained results. Corresponding to varied system conditions and decision priorities, the interval solutions from SI-IFSQP could help generate a series of long-term water supply strategies under a number of economic, environmental, ecological, and water-security targets. Copyright Springer Science+Business Media Dordrecht 2013

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  • Q. Tan & G. Huang & Y. Cai, 2013. "Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 451-473, January.
  • Handle: RePEc:spr:waterr:v:27:y:2013:i:2:p:451-473
    DOI: 10.1007/s11269-012-0196-9
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    7. Zhang, W.J. & Tan, Q. & Zhang, T.Y., 2021. "A risk-averse stochastic quadratic model with recourse for supporting irrigation water management in uncertain and nonlinear environments," Agricultural Water Management, Elsevier, vol. 244(C).
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