Abstract:An interval-parameter chance-constraint mixed integer linear programming modeling was proposed based on the system analysis of the municipal solid waste management system of Beijing. The treatment facility expansions, waste flows and system costs resulting from confidence levels of constraints were analyzed. The optimal solution indicated that the increased violation level may lead to the high utilization rate, but may cause high system cost. Take the current waste management situation and the goal of “the Eleventh 5-year Planning” of Beijing into account, 3 different policy scenarios were predefined: scenario 1 was based on the current waste management situation; scenario 2 was assumed to reach higher diversion rates to composting and incinerating facilities; scenario 3 was pre-regulated according to “the Eleventh 5-year Planning” of Beijing. The optimization results demonstrated that scenario 2 and scenario 3 could prolong the landfills’ lifespan for 5 and 10 years, respectively, while it might lead to high system cost.
苏婧, 席北斗, 刘鸿亮, 陈祥荣, 姜永海, 纪丹凤, 杨天学. 北京市生活垃圾管理的多重不确定性长期规划模型[J]. 中国环境科学, 2009, 29(10): 1105-1110.
SU Jing, XI Bei-Dou, LIU Hong-Liang, CHEN Xiang-Rong, JIANG Yong-Hai, JI Dan-Feng, YANG Tian-Xue. A hybrid uncertainty programming for long-term planning of municipal solid waste in Beijing City. . CHINA ENVIRONMENTAL SCIENCECE, 2009, 29(10): 1105-1110.