School of Accounting, Information systems, & Supply Chain, RMIT University, Melbourne, VIC, Australia.
College of Transport and Communications, Shanghai Maritime University, Shanghai, Shanghai, People's Republic of China.
Environ Monit Assess. 2020 Oct 7;192(11):682. doi: 10.1007/s10661-020-08565-y.
Sanitary waste disposal and site selection for establishing landfills are challenging problems for environmental planners. This paper aims to take environmental, socio-economic, geological, geomorphological, hydrological and ecological factors into consideration to provide a decision support framework for landfill siting. Analytical hierarchy process (AHP) and Decision Making Trial and Evaluation Laboratory (DEMATEL) are coupled to develop an efficient multi-criteria decision-making method to be utilized in a Geographic Information System (GIS) environment for evaluating the suitability for landfill siting. As the first attempt to employ DEMATEL effectively in a landfill site selection problem, the proposed method is tested with landfill siting scenarios in New South Wales (NSW), Australia. Regional analysis is also performed to identify the potentially most suitable statistical divisions for landfill siting in NSW. The top two ranked zones covering 0.7% and 22% of the study area, respectively, are considered as the optimal areas for establishing landfills, while the bottom two ranked zones are not recommended for further consideration. Further detailed analysis is also conducted on the existing landfills, which shows that 1.0% and 37.0% of them are ranks 1 and 2, respectively. The scenario-based analysis implies that, among the contributing factors; geological and economic factors are highly important.
卫生废物处理和垃圾填埋场选址是环境规划者面临的挑战。本文旨在考虑环境、社会经济、地质、地貌、水文和生态因素，为垃圾填埋场选址提供决策支持框架。层次分析法（AHP）和决策试验与评价实验室（DEMATEL）相结合，开发了一种有效的多准则决策方法，可在地理信息系统（GIS）环境中用于评估垃圾填埋场选址的适宜性。作为首次尝试在垃圾填埋场选址问题中有效应用 DEMATEL，该方法在澳大利亚新南威尔士州（NSW）的垃圾填埋场选址场景中进行了测试。还进行了区域分析，以确定 NSW 最适合进行垃圾填埋场选址的潜在统计分区。排名前两位的区域分别覆盖研究区域的 0.7%和 22%，被认为是建立垃圾填埋场的最佳区域，而排名最后的两个区域不建议进一步考虑。还对现有的垃圾填埋场进行了详细分析，结果表明其中 1.0%和 37.0%分别为 1 级和 2 级。基于情景的分析表明，在影响因素中，地质和经济因素非常重要。
