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不确定性下与环境影响减缓相关的废物管理建模

Modeling for waste management associated with environmental-impact abatement under uncertainty.

作者信息

Li P, Li Y P, Huang G H, Zhang J L

机构信息

Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China,

出版信息

Environ Sci Pollut Res Int. 2015 Apr;22(7):5003-19. doi: 10.1007/s11356-014-3962-9. Epub 2014 Dec 17.

DOI:10.1007/s11356-014-3962-9
PMID:25516254
Abstract

Municipal solid waste (MSW) treatment can generate significant amounts of pollutants, and thus pose a risk on human health. Besides, in MSW management, various uncertainties exist in the related costs, impact factors, and objectives, which can affect the optimization processes and the decision schemes generated. In this study, a life cycle assessment-based interval-parameter programming (LCA-IPP) method is developed for MSW management associated with environmental-impact abatement under uncertainty. The LCA-IPP can effectively examine the environmental consequences based on a number of environmental impact categories (i.e., greenhouse gas equivalent, acid gas emissions, and respiratory inorganics), through analyzing each life cycle stage and/or major contributing process related to various MSW management activities. It can also tackle uncertainties existed in the related costs, impact factors, and objectives and expressed as interval numbers. Then, the LCA-IPP method is applied to MSW management for the City of Beijing, the capital of China, where energy consumptions and six environmental parameters [i.e., CO2, CO, CH4, NOX, SO2, inhalable particle (PM10)] are used as systematic tool to quantify environmental releases in entire life cycle stage of waste collection, transportation, treatment, and disposal of. Results associated with system cost, environmental impact, and the related policy implication are generated and analyzed. Results can help identify desired alternatives for managing MSW flows, which has advantages in providing compromised schemes under an integrated consideration of economic efficiency and environmental impact under uncertainty.

摘要

城市固体废物(MSW)处理会产生大量污染物,从而对人类健康构成风险。此外,在城市固体废物管理中,相关成本、影响因素和目标存在各种不确定性,这会影响优化过程和生成的决策方案。在本研究中,开发了一种基于生命周期评估的区间参数规划(LCA-IPP)方法,用于在不确定性下与减少环境影响相关的城市固体废物管理。LCA-IPP可以通过分析与各种城市固体废物管理活动相关的每个生命周期阶段和/或主要贡献过程,基于多个环境影响类别(即温室气体当量、酸性气体排放和呼吸性无机物)有效地检查环境后果。它还可以处理相关成本、影响因素和目标中存在的不确定性,并以区间数表示。然后,将LCA-IPP方法应用于中国首都北京市的城市固体废物管理,其中能源消耗和六个环境参数[即二氧化碳、一氧化碳、甲烷、氮氧化物、二氧化硫、可吸入颗粒物(PM10)]被用作系统工具,以量化废物收集、运输、处理和处置的整个生命周期阶段的环境排放。生成并分析了与系统成本、环境影响和相关政策含义相关的结果。结果有助于确定管理城市固体废物流的理想替代方案,这在综合考虑不确定性下的经济效率和环境影响的情况下提供折衷方案方面具有优势。

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本文引用的文献

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Environ Sci Pollut Res Int. 2013 Sep;20(9):6232-41. doi: 10.1007/s11356-013-1647-4. Epub 2013 Apr 16.
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Life cycle and economic assessment of source-separated MSW collection with regard to greenhouse gas emissions: a case study in China.生命周期和经济评估的源头分类 MSW 收集关于温室气体排放:在中国的案例研究。
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An assessment of dioxin contamination from the intermittent operation of a municipal waste incinerator in Japan and associated remediation.
日本一座城市垃圾焚烧厂间歇性运行造成的二恶英污染评估及相关补救措施。
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Applying waste management scenarios in the Peloponnese Region in Greece: a critical analysis in the frame of life cycle assessment.在希腊伯罗奔尼撒地区应用废物管理方案:生命周期评估框架中的批判性分析。
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A two-stage support-vector-regression optimization model for municipal solid waste management - a case study of Beijing, China.两阶段支持向量回归优化模型在城市固体废物管理中的应用——以中国北京市为例。
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