Mozaffari Mehdi, Bemani Akram, Erfani Malihe, Yarami Najmeh, Siyahati Gholamreza
Department of Environmental Science and Engineering, Faculty of Agriculture & Natural Resources, Ardakan University, Ardakan, Iran.
Department of Environmental Sciences, Faculty of Natural Resources, University of Zabol, Zabol, Iran.
Environ Monit Assess. 2023 Mar 25;195(4):510. doi: 10.1007/s10661-023-11112-0.
The paper aims at developing a framework for decision-support to select a sustainable landfill site in Bardaskan City (Iran) by combining life cycle sustainability assessment (LCSA) concepts and geographic information system (GIS)-based multi-criteria decision-making (MCDM). Overall, 13 criteria were chosen (three constraints and 10 factors) and classified into three main aspects of sustainability (i.e., environmental, social, and economic) to achieve the research goals. Boolean and fuzzy logic were employed to standardize the classified constraints and factors, respectively. Analytic hierarchy process (AHP) was used to calculate the factors' weights and then suitability maps were produced using the GIS analysis. The layers were combined using simple additive weighting (SAW). Next, the most sustainable sites were obtained. The results indicated that distance from city backline, groundwater depth, and distance from rural areas were the most significant factors with the weight of 0.338, 0.141, and 0.129, respectively. The final map of suitable sites was created by classifying the SAW layer according to 75, 80, and 85% of suitability to show the high, medium, and low priority areas for landfill site selection, respectively. Therefore, integration of LCSA and GIS-based MCDM to select the sustainable landfill site for municipal solid waste (MSW) is highly important, which can be effectively employed in regional and urban planning to select the location of appropriate and sustainable landfills.
本文旨在通过结合生命周期可持续性评估（LCSA）概念和基于地理信息系统（GIS）的多准则决策（MCDM），开发一个用于在伊朗巴尔达askan市选择可持续垃圾填埋场的决策支持框架。总体而言，选择了13个标准（3个约束条件和10个因素），并将其分为可持续性的三个主要方面（即环境、社会和经济）以实现研究目标。分别采用布尔逻辑和模糊逻辑对分类后的约束条件和因素进行标准化。使用层次分析法（AHP）计算因素权重，然后通过GIS分析生成适宜性地图。各图层使用简单加性加权法（SAW）进行合并。接下来，获得了最具可持续性的场地。结果表明，距城市边界线的距离、地下水深度和距农村地区的距离是最显著的因素，权重分别为0.338、0.141和0.129。通过根据75%、80%和85%的适宜性对SAW图层进行分类，创建了适宜场地的最终地图，分别显示了垃圾填埋场选址的高、中、低优先级区域。因此，将LCSA和基于GIS的MCDM相结合以选择城市固体废物（MSW）的可持续垃圾填埋场非常重要，可有效地用于区域和城市规划中以选择合适且可持续的垃圾填埋场位置。
