Total consumption controlled water allocation management for multiple sources and users with inexact fuzzy chance-constrained programming: a case study of ... View Full Text


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Article Info

DATE

2018-10-30

AUTHORS

Ling Ji, Guohe Huang, Qiang Ma

ABSTRACT

Environmental and ecological issues caused by water resources crisis have brought enormous challenges to the sustainable development of water-deficient area. Water resources allocation management balancing the relationship between the social-economic development and the ecological environment has become a hot topic in recent years. In this paper, an inexact fuzzy chance-constrained programming (IFCCP) approach is proposed for regional water resource allocation optimization with the aim of promoting the harmonious development of the social economic and the ecological environment, improving water utilization efficiency, and realizing water resources consumption control under uncertainties. The method is incorporated with interval parameter programming, fuzzy programming, and chance-constrained programming, for handling system uncertainties and balancing the optimal objectives with the risk of violating system constraints. Under this framework, an IFCCP model for water resources allocation management was successfully formulated and applied to a typical water-deficit area, Tianjin, China, for obtaining a better water resources plan among multiple users under resources and environmental limitation. Different total water consumption control policies are designed for assessing regional water allocation schemes. The results indicated that the gap of supply and demand will only be solved by foreign water, the transferred water from Luan River and Changjiang River would still be the main supplier in planning horizon. Moreover, the strict total water consumption control policy would guarantee the water requirement of ecological environment, lead to changes in the structure of water supply, actively guide on water conservation, and promote the large-scale utilization of desalted water and recycle water. More... »

PAGES

3299-3315

References to SciGraph publications

  • 2017-06-14. Interval Optimization Model Considering Terrestrial Ecological Impacts for Water Rights Transfer from Agriculture to Industry in Ningxia, China in SCIENTIFIC REPORTS
  • 2014-07-05. Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method in WATER RESOURCES MANAGEMENT
  • 2015-01-09. An inexact joint-probabilistic programming method for risk assessment in water resources allocation in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2016-07-21. Conjunctive Water Use Optimization for Watershed-Lake Water Distribution System under Uncertainty: a Case Study in WATER RESOURCES MANAGEMENT
  • 2017-03-30. A two-stage fuzzy chance-constrained water management model in ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • 2015-09-15. Achieving the objective of ecological planning for arid inland river basin under uncertainty based on ecological risk assessment in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2015-10-03. A multistage stochastic robust optimization model with fuzzy probability distribution for water supply management under uncertainty in STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
  • 2015-03-19. A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States in ENVIRONMENTAL MONITORING AND ASSESSMENT
  • 2016-03-07. A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation in WATER RESOURCES MANAGEMENT
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    http://dx.doi.org/10.1007/s00477-018-1627-9

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