Department of Civil Engineering, Zakir Husain College of Engineering, Faculty of Engineering and Technology, Aligarh Muslim University, Aligarh, U.P. 202002, India.
Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U.P. 202002, India.
Environ Sci Pollut Res Int. 2022 May;29(21):31511-31540. doi: 10.1007/s11356-021-17961-x. Epub 2022 Jan 10.
Disposal of waste without treatment is the least preferable way of sustainable solid waste management (SWM). But most cities in developing nations still use open dumps, causing negative impacts on the environment and human health. This study offered a novel approach for selecting landfill sites and sustainable SWM in Aligarh city, India. This was done through data collection, selecting models for criterion weighting, and validation. In order to prepare a landfill site suitability map, a geographic information system (GIS)-based ensemble fuzzy analytic hierarchy process-support vector machine (FAHP-SVM) and fuzzy analytic hierarchy process-random forest (FAHP-RF) models were implemented. Considering the previous studies and the study area characteristics, eighteen thematic layers were selected. The result revealed that land value; distance from residential roads, hospitals and clinics, and waste bins; and normalized difference built-up index (NDBI) have a fuzzy weight greater than 0.10, indicating significant factors. In contrast, land elevation, land slope, surface temperature, soil moisture index, normalized difference vegetation index (NDVI), and urban classification have a zero fuzzy weight, indicating these criteria have no importance. The result further revealed that FAHP-RF with an area under curve (AUC) value of 0.91 is the more accurate model than FAHP-SVM. According to the final weight-based overlay result, seven potential landfill sites were identified, out of which three were determined as most suitable by considering current land cover, public opinions, and environmental and economic concerns. This research proposed a zonal division model based on landfill sites location for sustainable SWM in Aligarh city. However, the findings may provide a guideline to the decision-makers and planners for optimal landfill site selection in other cities of developing countries.
未经处理的废物处置是可持续固体废物管理 (SWM) 中最不可取的方式。但发展中国家的大多数城市仍在使用开放式垃圾场，对环境和人类健康造成负面影响。本研究为印度阿拉格市的垃圾填埋场选址和可持续 SWM 提供了一种新方法。这是通过数据收集、为标准加权选择模型以及验证来完成的。为了准备垃圾填埋场适宜性地图，实施了基于地理信息系统 (GIS) 的集成模糊层次分析法-支持向量机 (FAHP-SVM) 和模糊层次分析法-随机森林 (FAHP-RF) 模型。考虑到先前的研究和研究区域的特点，选择了十八个专题层。结果表明，土地价值、与居民区道路、医院和诊所以及垃圾桶的距离以及归一化差异建筑指数 (NDBI) 的模糊权重大于 0.10，表明这些因素具有重要意义。相比之下，土地高程、土地坡度、地表温度、土壤水分指数、归一化差异植被指数 (NDVI) 和城市分类的模糊权重为零，表明这些标准不重要。结果还表明，FAHP-RF 的曲线下面积 (AUC) 值为 0.91，比 FAHP-SVM 更准确。根据最终基于权重的叠加结果，确定了七个潜在的垃圾填埋场，其中三个被认为是最合适的，同时考虑了当前土地利用、公众意见以及环境和经济方面的考虑。本研究提出了一种基于垃圾填埋场位置的分区模型，以实现阿拉格市的可持续 SWM。然而，这些发现可能为决策者和规划者在其他发展中国家的城市中进行最佳垃圾填埋场选址提供指导。
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