Hamzeh Mohamad, Abbaspour Rahim Ali, Davalou Romina
Department of Surveying and Geomatics Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Environ Sci Pollut Res Int. 2015 Aug;22(16):12511-24. doi: 10.1007/s11356-015-4485-8. Epub 2015 Apr 24.
MSW landfill siting is a complicated process because it requires integration of several factors. In this paper, geographic information system (GIS) and multiple criteria decision analysis (MCDA) were combined to handle the municipal solid waste (MSW) landfill siting. For this purpose, first, 16 input data layers were prepared in GIS environment. Then, the exclusionary lands were eliminated and potentially suitable areas for the MSW disposal were identified. These potentially suitable areas, in an innovative approach, were further examined by deploying Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) II and analytic network process (ANP), which are two of the most recent MCDA methods, in order to determine land suitability for landfilling. PROMETHEE II was used to determine a complete ranking of the alternatives, while ANP was employed to quantify the subjective judgments of evaluators as criteria weights. The resulting land suitability was reported on a grading scale of 1-5 from 1 to 5, which is the least to the most suitable area, respectively. Finally, three optimal sites were selected by taking into consideration the local conditions of 15 sites, which were candidates for MSW landfilling. Research findings show that the raster-based method yields effective results.
城市固体废弃物填埋场选址是一个复杂的过程,因为它需要综合考虑多个因素。本文将地理信息系统(GIS)与多准则决策分析(MCDA)相结合,用于城市固体废弃物(MSW)填埋场选址。为此,首先在GIS环境中准备了16个输入数据层。然后,排除不合适的土地,确定MSW处置的潜在适宜区域。采用最新的多准则决策分析方法之一——偏好排序组织法(PROMETHEE)II和网络分析法(ANP),以创新的方式对这些潜在适宜区域进行进一步研究,以确定填埋的土地适宜性。PROMETHEE II用于确定备选方案的完整排名,而ANP用于将评估者的主观判断量化为准则权重。最终的土地适宜性按1 - 5级报告,1表示最不适宜,5表示最适宜。最后,综合考虑15个作为MSW填埋候选地的当地条件,选出了3个最优场地。研究结果表明,基于栅格的方法能产生有效的结果。