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Development of a fuzzy-stochastic programming with Green Z-score criterion method for planning water resources systems with a trading mechanism

Zeng, X. T., Huang, G. H., Li, Y. P., Zhang, J. L., Cai, Y. P., Liu, Z. P. and Liu, L.R (2016) Development of a fuzzy-stochastic programming with Green Z-score criterion method for planning water resources systems with a trading mechanism Environmental Science and Pollution Research, 23 (24). pp. 25245-25266.

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This study developed a fuzzy-stochastic program-ming with Green Z-score criterion (FSGZ) method for waterresources allocation and water quality management with atrading-mechanism (WAQT) under uncertainties. FSGZ canhandle uncertainties expressed as probability distributions,and it can also quantify objective/subjective fuzziness in thedecision-making process. Risk-averse attitudes and robustnesscoefficient are joined to express the relationship between theexpected target and outcome under various risk preferences ofdecision makers and systemic robustness. The developedmethod is applied to a real-world case of WAQT in theKaidu-Kongque River Basin in northwest China, where aneffective mechanism (e.g., market trading) to simultaneouslyconfront severely diminished water availability and degradedwater quality is required. Results of water transactionamounts, water allocation patterns, pollution mitigationschemes, and system benefits under various scenarios are an-alyzed, which indicate that a trading-mechanism is a more sustainable method to manage water-environment crisis inthe study region. Additionally, consideration of anthropogenic(e.g., a risk-averse attitude) and systemic factors (e.g., therobustness coefficient) can support the generation of a robustplan associated with risk control for WAQT when uncertaintyis present. These findings assist local policy and decisionmakers to gain insights into water-environment capacity plan-ning to balance the basin’s social and economic growth withprotecting the region’secosystems

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Centre for Environment and Sustainability
Authors :
Zeng, X. T.
Huang, G. H.
Li, Y. P.
Zhang, J. L.
Cai, Y. P.
Liu, Z. P.
Date : 29 September 2016
DOI : 10.1007/s11356-016-7595-z
Copyright Disclaimer : # Springer-Verlag Berlin Heidelberg 2016
Uncontrolled Keywords : Fuzzy programming; Two-stage stochasticprogramming; Green Z-score criterion; Strategic analysis; Trading-mechanism; Arid basin;
Additional Information : Embargo OK Metadata OK No Further Action
Depositing User : James Marshall
Date Deposited : 23 Jul 2020 11:04
Last Modified : 23 Jul 2020 11:04

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