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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:基于蒙特卡洛模拟的模糊规划的城乡混合资源导向型固体废物管理系统

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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 for mixed rural-urban areas. The system is featured by a novel Monte Carlo simulation-based fuzzy programming approach. The developed 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 CH_4 facilities were necessary and would become predominant in the waste management system. The 95% confidence intervals of waste loadings to the CH_4 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。这项研究为城乡混合区提出了一种资源导向的固体废物管理系统。该系统具有新颖的基于蒙特卡洛模拟的模糊编程方法。所开发的系统在实际案例中进行了测试,并考虑了各种面向资源的处理技术以及相关的不确定性。模拟结果表明,以社区为基础的生物煤和以家庭为基础的CH_4设施是必要的,并将在废物管理系统中占主导地位。 CH_4和生物煤设施的废物装载量的95%置信区间分别为387吨,450吨和178吨/天(混合流量),分别为178吨/天。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。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第7期|780354.1-780354.15|共15页
  • 作者

    P. Li; H. J. Wu; B. Chen;

  • 作者单位

    Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science,Memorial University of Newfoundland, St. John's, NL, Canada A1B 3X5;

    Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science,Memorial University of Newfoundland, St. John's, NL, Canada A1B 3X5;

    Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science,Memorial University of Newfoundland, St. John's, NL, Canada A1B 3X5,Key Laboratory of Regional Energy and Environmental Systems Optimization, Ministry of Education,Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China;

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