title: An inexact multi-objective programming model for water resources management in industrial parks of Binhai New Area, China.
abstract: In recent years, Binhai New Area of Tianjin has been suffering severe water shortage due to climate change and industrial activities. Integrated and effective water resources management approaches are urgent for the sustainable development of industrial parks in Binhai New Area. However, uncertainties exist in many aspects of the water resources system and are inevitably problematic for water resources planning and policy-making. To address these uncertainties, an interval multiple-objective programming model was developed here to support the long-term planning of industrial water resources management in Binhai New Area, Tianjin, China. The model incorporated both multiple-objective programming and interval linear programming into a general programming framework. The developed model could handle the uncertainties and complexities of the water management system, and also allowed decision makers to adjust fuzzy objective control decision variables to satisfy multiple holistic and interactive objectives. The solutions are useful for planning adjustments of the existing water allocation patterns in Binhai New Area.
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China E-mail: weili1027@hotmail.com.
authors.forename: Y
authors.initials: Y
authors.lastname: Li
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China E-mail: weili1027@hotmail.com.
authors.forename: W
authors.initials: W
authors.lastname: Li
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China E-mail: weili1027@hotmail.com.
authors.forename: B
authors.initials: B
authors.lastname: Wang
authors.affiliation: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China E-mail: weili1027@hotmail.com.
authors.forename: X W
authors.initials: XW
authors.lastname: Liu
authors.affiliation: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
authors.forename: Y L
authors.initials: YL
authors.lastname: Xie
authors.affiliation: Department of Civil and Resource Engineering, Dalhousie University, 1360 Barrington St, Bldg D, Rm D215, P.O. Box 15000, Halifax, NS B3H 4R2, Canada.
authors.forename: L
authors.initials: L
authors.lastname: Liu
mesh_terms: D002681:China; D057231:Climate Change; D003247:Conservation of Natural Resources; D003657:Decision Making; D007221:Industry; D008962:Models, Theoretical; D035501:Uncertainty; D062066:Water Resources