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首页> 外文期刊>Journal of Environmental Management >Siting and ranking municipal landfill sites in regional scale using nighttime satellite imagery
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Siting and ranking municipal landfill sites in regional scale using nighttime satellite imagery

机译:使用夜间卫星图像对区域性市政垃圾填埋场进行选址和排名

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摘要

In 2016, about 24.9 million tonnes of solid waste were disposed of in Canadian landfills, where landfill technology is a common choice. This study aims to develop a data-driven GIS-based method that considers spatial, environmental, and economic constraints using study regions derived from night time light data for a 40 km buffer around Regina, Saskatchewan, Canada. Unlike other similar studies, this site suitability study assumes no political or administrative boundaries as inputs. Road network stands as the most decisive factor that accounts for 0.239 of entire weight, followed by protective areas with a total weight of 0.220. The regions that ranked the best for siting new landfills were generally located far from predominant water resources and protected areas, but are in the vicinity of major road networks, but are also far from urbanized regions. The sensitivity analysis showed that, overall, road network and protected areas are the most essential layers in this analysis. For the environmental group, protected areas and water resources are major layers. For the economic group, road network and surface temperature are the most important. The method presented in this study can easily accommodate other data sets based on importance in any given area.
机译:2016年,加拿大的垃圾填埋场处理了约2490万吨的固体废物,垃圾填埋技术是其中的常见选择。这项研究旨在开发一种基于数据驱动的GIS的方法,该方法使用从加拿大萨斯喀彻温省里贾纳周围40公里缓冲区的夜间照明数据得出的研究区域来考虑空间,环境和经济方面的限制。与其他类似研究不同,本网站适用性研究假设没有政治或行政界限作为输入。道路网是最决定性的因素,占总重量的0.239,其次是总重量为0.220的保护区。放置新垃圾填埋场最好的地区通常位于远离主要水资源和保护区的地方,但在主要道路网络附近,也远离城市化地区。敏感性分析表明,总体而言,道路网络和保护区是此分析中最重要的层。对于环境团体来说,保护区和水资源是主要的层次。对于经济群体,路网和地表温度是最重要的。本研究中提出的方法可以根据在任何给定领域的重要性轻松地容纳其他数据集。

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