title: A hybrid inexact optimization approach for solid waste management in the city of Foshan, China.
abstract: An interval-parameter two-stage chance-constraint mixed integer linear programming (ITCMILP) model is provided for supporting long-term planning of solid waste management in the City of Foshan, China. The ITCMILP is formulated by integrating interval-parameter, two-stage, mixed integer, and chance-constraint programming methods into a general framework, and can thus deal with multiple uncertainties associated with model parameters, constraints and objectives. Three scenarios are examined, covering combinations of various system conditions and waste management policies. Scenario 1 is designed for comparison purposes. Scenarios 2 and 3 correspond to situations when the existing landfill's life is to be extended. The results demonstrate that the centralized composting and incinerating facilities are desired for treating the organic waste flows. The tradeoff among system cost, violation risk, and the related policy implications are also analyzed. The results obtained could help decision makers gain in-depth insights into the impact of uncertainties on long-term solid waste management in the City of Foshan.
authors.affiliation: School of Environment, Beijing Normal University, Beijing 100875, China. sujing169@163.com
authors.forename: Su
authors.initials: S
authors.lastname: Jing
authors.forename: Guo He
authors.initials: GH
authors.lastname: Huang
authors.forename: Bei Dou
authors.initials: BD
authors.lastname: Xi
authors.forename: Yong Ping
authors.initials: YP
authors.lastname: Li
authors.forename: Xiao Sheng
authors.initials: XS
authors.lastname: Qin
authors.forename: Shou liang
authors.initials: Sl
authors.lastname: Huo
authors.forename: Yonghai
authors.initials: Y
authors.lastname: Jiang
mesh_terms: D002681:China; D017745:Incineration; D012037:Refuse Disposal; D012987:Soil
chemical_list: D012987:Soil