制定固体废物管理计划以解决巴格达市交通路线问题

Ayad Naeem Sadoon, A. Kadhum, Amjad Barzan Abdulghafour
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摘要

固体废物的运输成本问题是市政当局为固体废物管理分配的预算中最大的一部分。因此,没有一个全面的计划来解决SWM中的运输路线优化问题,包括固体废物从中转站转移到最终填埋场。因此,研究的目的是寻找一种科学的方法来解决固体废物运输问题,适合巴格达城市,试图找到可行的解决方案,确保降低总运输成本,并导致一个有效的固体废物管理系统。在本研究中,开发了一种新的方法来选择巴格达市SWM的最佳交通路线,其中包括确定最佳假设情景。提出的方法包括全球定位系统(GPS)技术与网络分析模型(NA)的集成。因此,本工作为决策者分析和模拟与SWM相关的最优运输路线问题提供了一个先进的框架。应用这些建模工具来选择可以通过最小化旅行时间、旅行距离和减少总运输成本来提供经济效益的场景。工作实现的结果表明,包括当前状态S1和建议场景的所有解决方案都已被评估。应用所提出的技术对最优路线进行分析和识别,生成的场景包括(S2, S3)。方案S2指定两个垃圾填埋场,方案S3指定四个垃圾填埋场的解决方案。最后,这项工作表明,方案S3是解决方案的最佳方案,其中包括四个垃圾填埋场的应用GPS和网络分析。
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Development of Solid Waste Management Plan to Solve the Transport Routes Problem in Baghdad City
The transportation cost problem of solid waste presents the biggest part of the budget allocated by municipalities for SWM. So, there is no comprehensive plan to address transport routes optimization problems in SWM that including the transfer of solid waste from transfer stations to final landfill sites. Therefore, the aim of the study finding a scientific method to solve the transportation problem of solid waste transport suitable Baghdad city that tries to find feasible solutions that ensure reducing total transport costs and leads to an effective solid waste management system. In this research, a new methodology has been developed to select the optimal transport routs of SWM in Baghdad city which involves determining the best-supposed scenario. the proposed methodology includes integration of Global Positioning System (GPS) technologies with Network Analysis model (NA). Therefore, this work provides an advanced framework of decision-makers for analysis and simulation of the optimal transport routs problem related to SWM. Applying these modeling tools to select the scenario that can provide economic benefits by minimizing travel time, travel distance and reduction of total transportation costs. The Results of work implementation show that all solutions that include current state S1 and suggested scenarios have been evaluated. The scenarios generated include (S2, S3) by applying the proposed technique for analyzed and identified the optimal routes. The solutions of scenario S2, specified with two landfill sites while scenarios S3 specified with four landfill sites. Finally, this work shows the Scenario S3 is the best scenario of the solution, that include applied GPS and Network Analysis for four landfill sites.
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