GIS- and MCD-based suitability assessment for optimized location of solid waste landfills in Dar es Salaam, Tanzania

GIS- and MCD-based suitability assessment for optimized location of solid waste landfills in Dar es Salaam, Tanzania
复制标题

基于 GIS 和 MCD 的适宜性评估,以优化坦桑尼亚达累斯萨拉姆固体废物填埋场的位置

DOI:
10.1007/s11356-020-11213-0
复制
发表时间:
2020
影响因子:
5.8
通讯作者:
E. Mhache
E. Mhache
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Emmanuel Kazuva;Jiquan Zhang;Zhijun Tong;Xingpeng Liu;S. Memon;E. Mhache

文献摘要

被引文献

相似文献

尽管废物管理技术最近取得了进步,但垃圾填埋场仍然是世界各地最终处置固体废物(SW)的主要方法。然而,垃圾填埋场会对环境和健康产生不利影响。这项研究主要适用于东非地区的达累斯萨拉姆城市,该城市未能遵循适当的选址方法,并且用于选择当前选址的方法是手动操作的。该研究利用地理信息系统(GIS)结合多标准决策分析(MCDA)来客观地确定最佳垃圾填埋场地点。通过基于 GIS 的计算机化选址程序审查了评估标准的综合清单,以分析所测量的地面并远程获取数据。层次分析法 (AHP)(最好的 MCDA 方法之一)用于分配相对权重并评估每个标准。最后,该研究计算了场地适宜性指数(SSI),这有助于确定整个地区的场地适宜性水平(SSL)。通过叠加标准图层生成的最终适宜性地图显示,研究区域的很大一部分(60.92%)完全不适合垃圾填埋场选址。其余地区由不同适宜程度的土地组成,分为四类:极低(30.92%)、低(2.05%)、中等(5.65%)和高(0.46)。为此,只有高适宜性等级(0.46%)属于可接受的适宜性水平(ASL)(SSI ≥ 2.0)。从众多已识别的 ASL 站点中,仅建议了三个站点。由于对与这些建议地点相关的寿命和环境相关风险的担忧,考虑到废物到资源/能源的循环经济议程对于可持续固体废物管理的重要性,有必要进一步研究新的环保技术。
Despite recent advancements in waste management technologies, landfills remain the dominant approach for the final disposal of solid waste (SW) around the world. However, landfills are associated with adverse environmental and health-related impacts. This study is primarily applied to Dar es Salaam, a city in the East African region that has failed to follow appropriate approaches for site selection and that the methods used to select the current sites are manually operated. The study used a geographical information system (GIS) combined with multicriteria decision analysis (MCDA) to objectively determine the optimal landfill sites. A comprehensive list of assessment criteria was examined through a computerized site selection procedure based on GIS to analyze the ground that was surveyed and to remotely obtain data. Analytical hierarchy process (AHP)—one of the best MCDA approaches—was used to assign relative weight and evaluate each criterion. Finally, the study computed site suitability indices (SSIs), which aids in the identification of site suitability levels (SSLs) for the entire region. The final suitability map produced by overlaying the criteria map layers showed that a large part of the study area (60.92%) was completely unsuitable for landfill siting. The remaining areas consisted of land with varying suitability level, which were grouped into four classes: very low (30.92%), low (2.05%), moderate (5.65%), and high (0.46). To this end, only the high suitability class (0.46%) was of acceptable suitability levels (ASLs) (SSI ≥ 2.0). From the numerous identified sites with ASL, only three sites were suggested. Due to concerns regarding the lifespan and environment-related risks associated with these suggested sites, there is a need to further study new environmentally friendly techniques, considering the importance of circular economy agenda of waste to resource/energy for sustainable solid waste management.