Nagoya University, Graduate School of Environmental Studies, Chikusa-ku, Nagoya, Aichi, Japan.
Waste Manag Res. 2011 Apr;29(4):423-32. doi: 10.1177/0734242X10379493. Epub 2010 Aug 10.
Steps taken to counter the climate change problem have a significant impact on the municipal solid waste management (MSW) sector, which must tackle regional environmental problems such as the shortage of sanitary landfills, especially in Japan. Moreover, greenhouse gas emissions and final disposal have a trade-off relationship. Therefore, alleviation of both these environmental problems is difficult, and Japanese local municipalities are anxious for action to solve these problems and reduce treatment costs. Although ambitious waste management measures have been enacted in many countries, they appear to lack a holistic view and do not adopt a life cycle approach. Therefore, it is important to reconstruct the MSW management system, taking into account environmental and economic aspects. In the present study, life cycle assessment and mathematical modelling were used to seek ways of redesigning the MSW management system in order to minimize environmental impacts and/or reduce treatment costs. One economic block was selected as the study area (Iwate Prefecture in Japan). The life cycle inventory and costs data for every MSW transportation and treatment process in this region were collected and processed. Then, taking account of geographic information, an optimal solution for the minimization of environmental impact or treatment costs was derived. To solve the trade-off problem, a sensitivity analysis was conducted to find optimal reduction targets for climate change and final disposal.
应对气候变化问题所采取的措施对城市固体废物管理(MSW)领域产生了重大影响,该领域必须解决区域性环境问题,例如卫生填埋场短缺问题,尤其是在日本。此外,温室气体排放和最终处置存在权衡关系。因此,缓解这两个环境问题具有一定难度,日本地方政府急于采取行动来解决这些问题并降低处理成本。尽管许多国家都制定了雄心勃勃的废物管理措施,但这些措施似乎缺乏整体观,并未采用生命周期方法。因此,必须重建 MSW 管理系统,同时考虑环境和经济方面。在本研究中,使用生命周期评估和数学模型来寻求重新设计 MSW 管理系统的方法,以最小化环境影响和/或降低处理成本。选择了一个经济区块作为研究区域(日本岩手县)。收集和处理了该地区每个 MSW 运输和处理过程的生命周期清单和成本数据。然后,考虑到地理信息,得出了最小化环境影响或处理成本的最佳解决方案。为了解决权衡问题,进行了敏感性分析,以找到气候变化和最终处置的最优减排目标。