| 不确定性城市生活垃圾管理规划及其应用 |
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| 引用本文： | 陈祥荣,席北斗,孙春宝,苏 婧,宋 波,姜永海,纪丹凤. 不确定性城市生活垃圾管理规划及其应用[J]. 环境科学研究, 2009, 22(12): 1489-1495 |
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| 作者姓名： | 陈祥荣 席北斗 孙春宝 苏 婧 宋 波 姜永海 纪丹凤 |
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| 作者单位： | 北京科技大学土木与环境工程学院,北京,100083;中国环境科学研究院水环境系统工程研究室,北京,100012;中国环境科学研究院水环境系统工程研究室,北京,100012;北京科技大学土木与环境工程学院,北京,100083;北京师范大学环境学院,北京,100875 |
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| 基金项目： | 国家重点基础研究发展计划(973)项目 |
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| 摘 要： | 通过对城市生活垃圾管理过程中的经济成本和环境影响分析，建立了机会约束区间不确定性线性规划模型(ICILP). 将该模型应用于北京市海淀区城市生活垃圾管理规划，并在不同违反概率下进行求解分析. 结果表明:处理设施容量约束的违反概率越大，焚烧和堆肥在垃圾处理中所占比例越大，但系统成本并未随之增加. 提出了海淀区新的城市生活垃圾处理方案，即在现有填埋处理的基础上增加焚烧和堆肥2种处理设施，使城市生活垃圾流量逐渐由填埋转向焚烧和堆肥. 该模型的优化结果虽然会在一定程度上导致系统成本的增加，但是填埋场的寿命被有效延长，并且达到了减小环境污染的目的，从长远的角度看是可行的.
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| 关 键 词： | 机会约束 区间规划 不确定性 城市生活垃圾 |
| 收稿时间： | 2009-04-20 |
| 修稿时间： | 2009-07-06 |
Uncertainty in Municipal Solid Waste Management Planning and Its Application |
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| CHEN Xiang-rong,XI Bei-dou,SUN Chun-bao,SU Jing,SONG Bo,JIANG Yong-hai and JI Dan-feng. Uncertainty in Municipal Solid Waste Management Planning and Its Application[J]. Research of Environmental Sciences, 2009, 22(12): 1489-1495 |
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| Authors: | CHEN Xiang-rong XI Bei-dou SUN Chun-bao SU Jing SONG Bo JIANG Yong-hai JI Dan-feng |
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| Abstract: | An inexact chance-constrained interval linear programming (ICILP) model was proposed based on economical cost and environmental impact analysis in the process of municipal solid waste management. This model was provided for supporting the waste management system in the Haidian District in Beijing City, and the results with different violation levels were analyzed. The results indicated that higher violation level of treatment capacity constraint may lead to more waste diverted to incinerator and composting facilities, while it may not cause a higher system cost. A new waste management system for Haidian District was proposed in this study: based on the existing waste management system, incinerator and composting facilities would be applied in the Haidian District, so that more waste would be gradually diverted to incinerator and composting facilities. Although more system cost would be caused by the proposed optimization model, the lifespan of the landfill would be extended, and environmental impact would be reduced. Therefore, the proposed optimization model is feasible and practical in the long run. |
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| Keywords: | chance-constrained interval-parameter programming uncertainty municipal solid waste |
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