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RSW-MCFP: A Resource-Oriented Solid Waste Management System for a Mixed Rural-Urban Area through Monte Carlo Simulation-Based Fuzzy Programming

机译:RsW-mCFp:基于蒙特卡罗模拟的模糊规划的城乡混合资源固体废物管理系统

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摘要

The growth of global population and economy continually increases the waste volumes and consequently creates challenges to handle and dispose solid wastes. It becomes more challenging in mixed rural-urban areas (i.e., areas of mixed land use for rural and urban purposes) where both agricultural waste (e.g., manure) and municipal solid waste are generated. The efficiency and confidence of decisions in current management practices significantly rely on the accurate information and subjective judgments, which are usually compromised by uncertainties. This study proposed a resource-oriented solid waste management system forudmixed rural-urban areas. The system is featured by a novel Monte Carlo simulation-based fuzzy programming approach. Theuddeveloped system was tested by a real-world case with consideration of various resource-oriented treatment technologies and the associated uncertainties. The modeling results indicated that the community-based bio-coal and household-based CH4 facilities were necessary and would become predominant in the waste management system. The 95% confidence intervals of waste loadingsudto the CH4 and bio-coal facilities were 387, 450 and 178, 215 tonne/day (mixed flow), respectively. In general, the developed system has high capability in supporting solid waste management for mixed rural-urban areas in a cost-efficient and sustainable manner under uncertainty.
机译:全球人口和经济的增长持续增加了废物量,因此带来了处理和处置固体废物的挑战。在农村和城市混合的地区(即用于农村和城市目的的混合土地使用的地区)中,农业废物(例如粪便)和城市固体废物都产生了挑战。当前管理实践中决策的效率和信心在很大程度上取决于准确的信息和主观判断,通常会受到不确定性的影响。这项研究提出了一个面向资源的固体废物管理系统,用于城乡混合区。该系统具有新颖的基于蒙特卡洛模拟的模糊编程方法。在考虑到各种面向资源的处理技术和相关不确定性的情况下,对一个已开发的系统进行了实际案例测试。建模结果表明,以社区为基础的生物煤和以家庭为基础的CH4设施是必不可少的,并将在废物管理系统中占主导地位。 CH4和生物煤设施的废物装载量的95%置信区间分别为387吨/天,450吨/天和178吨/天(混合流)。一般而言,在不确定的情况下,开发的系统具有以经济高效且可持续的方式支持农村和城市混合地区的固体废物管理的能力。

著录项

  • 作者

    Li Pu; Wu H. J.; Chen Bing;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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