Modeling of Water Resources Allocation and Water Quality Management for Supporting Regional Sustainability under Uncertainty in an Arid Region

In this study, a scenario-based interval-stochastic fraticle optimization with Laplace criterion (SISFL) method is developed for sustainable water resources allocation and water quality management (WAQM) under multiple uncertainties. SISFL can tackle uncertainties presented as interval parameters an...

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Vydané v:Water resources management Ročník 31; číslo 12; s. 3699 - 3721
Hlavní autori: Zeng, X. T., Li, Y. P., Huang, G. H., Liu, J.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Dordrecht Springer Netherlands 01.09.2017
Springer Nature B.V
Predmet:
Arid regions
Arid zones
Atmospheric Sciences
basins
Capacity
China
Civil Engineering
Decision making
Earth and Environmental Science
Earth Sciences
Economic activities
Economic analysis
Economic conditions
Economic development
Economics
Environment
Environmental degradation
Environmental protection
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Marine environment
Methods
Mitigation
Modelling
Parameter uncertainty
planning
Pollution control
probability distribution
Probability theory
Protection
Quality management
Regional planning
Resource allocation
Resource management
Resources
Risk aversion
Risk management
risk reduction
River basins
Rivers
socioeconomic development
Sustainability
Sustainable development
uncertainty
Water allocation
Water deficit
Water pollution
Water quality
Water quality management
Water resources
watersheds
China
Water resources allocation
Water quality management
Arid region
Interval-stochastic programming
Fraticle optimization
Scenario analysis with Laplace criterion
ISSN:0920-4741, 1573-1650
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Shrnutí:In this study, a scenario-based interval-stochastic fraticle optimization with Laplace criterion (SISFL) method is developed for sustainable water resources allocation and water quality management (WAQM) under multiple uncertainties. SISFL can tackle uncertainties presented as interval parameters and probability distributions; meanwhile, it can also quantify artificial fuzziness such as risk-averse attitude in a decision-making issue. Besides, it can reflect random scenario occurrence under the supposition of no data available. The developed method is applied to a real case of water resources allocation and water quality management in the Kaidu-kongque River Basin, where encounter serve water deficit and water quality degradation simultaneously in Northwest China. Results of water allocation pattern, pollution mitigation scheme, and system benefit under various scenarios are analyzed. The tradeoff between economic activity and water-environment protection with interval necessity levels and Laplace criterions can support policymakers generating an effective and robust manner associated with risk control for WAQM under multiple uncertainties. These discoveries avail local policymakers gain insight into the capacity planning of water-environment to satisfy the basin’s integrity of socio-economic development and eco-environmental sustainability.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-017-1696-4