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Transportation analysis for sludge landfill site selection: A case study demonstration

机译:污泥填埋场选择的运输分析:案例研究演示

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摘要

A solution framework for the Sludge Landfill Site Selection Problem (SLSSP) which arises in the context of environmental planning is presented. The problem may be defined as follows: given a set of environmentally acceptable candidate landfill sites, identify the site which minimizes a weighted combination of two objectives (system descriptors): the present worth value of the transportation operation costs and the resulting population disturbance of the chosen set of transportation routes. The solution framework relies on an analysis algorithm which identifies K shortest travel time routes between one candidate landfill site and each of the water treatment plants. Based on a prespecified tradeoff between present worth and population disturbance, the transportation routes associated with each landfill site are selected and the site's two resulting system descriptors are computed. The solution methodology is demonstrated on data developed for the City of Phoenix, Arizona. In addition, computational experiments are performed to test the quality of solution and its sensitivity to different tradeoffs between the two system descriptors. As a result of this study, city officials were dissuaded away from a prefavored landfill site. Final selection from the set of pareto-optimal solutions was postponed pending results of ongoing efforts to enlarge the collection operation by including sludge disposed in other neighboring cities.
机译:提出了在环境规划中出现的污泥填埋场选择问题(SLSSP)的解决方案框架。该问题的定义如下:给定一组环境可接受的候选垃圾填埋场,确定能够最小化两个目标(系统描述符)的加权组合的站点:运输运营成本的现值和由此产生的人口干扰选择的一组运输路线。该解决方案框架依赖于一种分析算法,该算法可识别一个候选垃圾填埋场与每个水处理厂之间的K条最短旅行时间路线。基于当前价值和人口扰动之间的预先权衡,选择与每个垃圾填埋场相关的运输路线,并计算出该站点的两个结果系统描述符。在为亚利桑那州凤凰城开发的数据上演示了该解决方案方法。另外,进行计算实验以测试解决方案的质量及其对两个系统描述符之间不同折衷方案的敏感性。这项研究的结果是,城市官员被劝离了一个偏僻的垃圾填埋场。从一系列最佳解决方案中进行最终选择的过程被推迟,以待通过不断努力扩大收集操作的结果而实现的结果,方法是将其他邻近城市处置的污泥包括在内。

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