title: Allocation of marine environmental carrying capacity in the Xiamen Bay.
abstract: Three optimization methods are employed to allocate Marine Environmental Carrying Capacity (MECC) in the Xiamen Bay. The hydrodynamic and pollutant fields are first simulated by the Princeton Ocean Model. Taking phosphorus as an index of the water quality, the response fields are then calculated. These response fields represent the relationship between the concentration of the sea zone and the pollution sources. Finally, MECC is optimized and distributed in the Xiamen Bay by three optimization methods. The results show classical linear optimization can only maximize the satisfaction level for one of the stake holders', e.g., dischargers or environmental protection bureau, satisfaction level. However, the fuzzy and grey fuzzy optimizations can provide a compromise, and therefore a fairer result, by incorporating the conflicting goals of all of the different stakeholders. Compared with fuzzy optimization, the grey fuzzy optimization provides a more flexible choice for the decision-makers.
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China; College of Earth, Ocean and Environment, University of Delaware, Newark, DE 19716, USA.
authors.forename: Enhui
authors.initials: E
authors.lastname: Liao
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China. Electronic address: ywjiang@xmu.edu.cn.
authors.forename: Yuwu
authors.initials: Y
authors.lastname: Jiang
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China; College of Earth, Ocean and Environment, University of Delaware, Newark, DE 19716, USA.
authors.forename: Xiao-Hai
authors.initials: XH
authors.lastname: Yan
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China.
authors.forename: Zhaoyun
authors.initials: Z
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China.
authors.forename: Jia
authors.initials: J
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China.
authors.forename: Luoping
authors.initials: L
authors.lastname: Zhang
mesh_terms: D061006:Bays / Q000737:chemistry*; D003247:Conservation of Natural Resources; D004784:Environmental Monitoring; D008956:Models, Chemical; D010758:Phosphorus; D014874:Water Pollutants, Chemical / Q000032:analysis*; D014876:Water Pollution / Q000706:statistics & numerical data
chemical_list: D014874:Water Pollutants, Chemical; D010758:Phosphorus
keywords: Classical linear optimization; Fuzzy optimization; Grey fuzzy optimization; Marine environmental carrying capacity; Numerical model; Xiamen Bay