为西孟加拉邦库奇贝哈尔市的可持续固体废物管理确定城市固体废物处置场地:基于 RS-GIS 的 MCDA 方法

Pritam Saha , Maitreyee Roy
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引用次数: 0

摘要

固体废物的妥善处置是西孟加拉邦市政当局面临的最复杂的环境挑战之一。库奇比哈尔市是西孟加拉邦科奇比哈尔区的一个快速发展地区,被选为案例研究对象。该市将固体废弃物倾倒在距该镇 6 公里、靠近托尔萨河的古里亚哈提 G.P. 的一处空地上,对健康和环境造成了威胁。本研究旨在确定最适合处置和倾倒城市固体废物的区域。利用层次分析法,根据十七个致因因素的相关性分配其权重,以确定合适的地点。本研究还引入了一种创新方法,利用基于地理信息系统的敏感性分析,加强对影响合适固体废物处置地点选择的因素的优化。根据低土地成本、贫瘠土地的可用性以及与居民点和敏感地区的距离,确定了三个可能的废物处置地点。ROC 曲线下的面积显示 AUC 值为 0.895,表明模型的准确度为 89.50%。在该模型中,土地价值的权重为 0.184,是最重要的标准,其次是与居民点的距离(0.135)和与道路的距离(0.123)。通过精心选择合适的地点,这项研究可以帮助城市规划者开发一个具有弹性和环境可持续性的废物管理系统。
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Identification of municipal solid waste disposal sites for sustainable solid waste management in Cooch Behar Municipality, West Bengal: A RS-GIS based MCDA approach

The proper disposal of solid waste represents one of the most intricate environmental challenges encountered by the municipalities of West Bengal. The municipality of Cooch Behar, a rapidly developing part of the Koch Bihar district of West Bengal, was selected as a case study. A health and environmental threat is created by the disposal of solid waste from the municipality area in an open place in Guriahati G.P., 6 km from the town and near the Torsa River. This study aims to identify the most suitable areas for the disposal and dumping of municipal solid waste. Using the Analytic Hierarchy Process, the weights of the seventeen causative factors were allocated based on their relevance to identify the appropriate locations. The present study also introduces an innovative methodology employing GIS-based sensitivity analyses to enhance the optimisation of factors influencing suitable solid waste disposal site selection. Three possible waste disposal sites have been identified based on low land costs, the availability of barren land and the distance to settlements and sensitive places. The area under the ROC curve reveals that the AUC value is 0.895, which indicates that the level of accuracy of the model is 89.50 %. With a weight of 0.184, land value was found to be the most important criterion in the model, followed by distance to settlement (0.135) and distance to road (0.123). By carefully choosing suitable locations, this research could assist urban planners in developing a waste management system that is resilient and environmentally sustainable.

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