Industrial Engineering Department, Ondokuz Mayıs University, Samsun, Turkey.
Industrial Engineering Department, Gaziantep University, Gaziantep, Turkey.
Environ Sci Pollut Res Int. 2019 Oct;26(30):30711-30730. doi: 10.1007/s11356-019-06298-1. Epub 2019 Sep 6.
One of the cheapest and proper methods for the ultimate disposal of Municipal Solid Waste (MSW) is landfilling. However, determining the location of landfill sites is a difficult and complex task due to depending on social, environmental, technical, economic, and legal factors. To solve the aforementioned challenges related to the landfill site suitability analysis, the combinations of Geographic Information System (GIS) and Multi-Criteria Decision-Making (MCDM) have been studied by academia and applied by experts over the years. This notice is apparent by the large number of academic papers which have been announced in the near future. To provide a framework of the existing literature, and to guide colleagues, a state-of-the-art of recent papers is crucial. The goal of this study is to review all scientific papers in GIS-based MCDM modeling for landfill site suitability analysis in academic journals. A total of 106 studies published between 2005 and 2019 are recorded and surveyed. The studies are then investigated and classified by a generated taxonomy including following categories: GIS software, application area, uncertainty, MCDM techniques, cell sizes in GIS, and criteria. Based on the review conducted, it is observed that while Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) are the most widely used MCDM methods for weighting the criteria and ranking the alternatives, respectively. On the other hand, while environmental dimension is the most commonly preferred main criteria, surface water comes first in the sub-criteria pool. Criteria analysis shows that surface and ground water, geology, land use, distance to fault zone, distance to urban areas, and distance to road and slope are the most commonly used criteria groups among others. These classifications and observations are helpful for identifying research gaps in the current literature and provide insights for future modeling and research efforts in the field.
一种处理城市固体废物（MSW）的最便宜且合适的方法是垃圾填埋。然而，由于取决于社会、环境、技术、经济和法律因素，确定垃圾填埋场的位置是一项困难且复杂的任务。为了解决与垃圾填埋场适宜性分析相关的上述挑战，学术界研究了地理信息系统（GIS）和多准则决策（MCDM）的组合，并由专家在过去几年中应用。这一点可以从最近公布的大量学术论文中明显看出。为了提供现有文献的框架，并为同行提供指导，对最新论文的最新研究至关重要。本研究的目的是审查 GIS 基于 MCDM 建模在学术期刊中进行的所有科学论文，以进行垃圾填埋场适宜性分析。共记录和调查了 2005 年至 2019 年期间发表的 106 项研究。然后，通过生成的分类法对这些研究进行调查和分类，包括以下类别：GIS 软件、应用领域、不确定性、MCDM 技术、GIS 中的单元大小以及标准。根据进行的审查，观察到尽管层次分析法（AHP）和加权线性组合（WLC）分别是最广泛用于对标准进行加权和对替代方案进行排名的 MCDM 方法，但环境维度是最常用的主要标准，地表水在子标准池中排名第一。标准分析表明，地表水和地下水、地质、土地利用、距断层带的距离、距市区的距离以及距道路和坡度的距离是最常用的标准组之一。这些分类和观察结果有助于确定当前文献中的研究差距，并为该领域的未来建模和研究工作提供见解。
