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通过整合地理信息系统(GIS)和多准则决策分析(MCDA)技术对埃塞俄比亚南部霍萨纳镇城市固体废物填埋场进行优化选址

Optimized landfill site selection for municipal solid waste by integrating GIS and multicriteria decision analysis (MCDA) technique, Hossana town, southern Ethiopia.

作者信息

Doboch Wanore Tesfaye, Abera Angello Zelalem, Menberu Fetanu Zemed

机构信息

Faculty of Water Supply and Environmental Engineering, Arba Minch Water Technology Institute, Arba Minch University, Ethiopia.

出版信息

Heliyon. 2023 Nov 7;9(11):e21257. doi: 10.1016/j.heliyon.2023.e21257. eCollection 2023 Nov.

Abstract

Improper solid waste disposal has remained the major bottleneck for the socio-economic development particularly in urban and peri-urban areas of Ethiopia. This study was conducted with the prime aim of identifying an optimum municipal solid waste (MSW) management option subsequently selecting the best landfill site in Hossana town using integrated geographical information systems (GIS) and multicriteria decision analysis (MCDA) techniques. Accordingly, GIS integrated with MCDA was used to analyze the relative weight of each criterion and the overall suitability map where ten criteria were considered within their respective constraints. To create a landfill suitability index, environmental and socioeconomic factors such as distance from settlement, land use and land cover, lineament, slope, road, and wind direction/aspect were weighted. Population growth, waste generation rate, and waste volume/year were used to calculate the required landfill size. The study finding revealed that the town's MSW generation rate was 0.45 kg/cap/day, which was within the range of most of Ethiopian urban areas. On the other hand, the total daily and annual MSW generation was found to be 79.58 and 29,047 tonnes, respectively. Moreover, the study's findings revealed that 20.8 % of the solid waste was found was recyclable and the remaining 79.20 % was non-recyclable. Considering the future trend of waste generation, 19 ha of land in the city's Northern and Southern outskirts was chosen as a candidate landfill site with all the necessary suitability analysis. Therefore, optimized landfill site selection and better management system of MSW in urban and peri-urban areas could be achieved by the conjunctive application of MCDA and GIS.

摘要

不当的固体废物处置一直是社会经济发展的主要瓶颈,尤其是在埃塞俄比亚的城市和城郊地区。本研究的主要目的是确定最佳的城市固体废物(MSW)管理方案,随后使用综合地理信息系统(GIS)和多准则决策分析(MCDA)技术在霍桑纳镇选择最佳填埋场。因此,将GIS与MCDA相结合,用于分析每个准则的相对权重以及总体适宜性地图,其中在各自的约束条件下考虑了十个准则。为了创建填埋场适宜性指数,对距离定居点、土地利用和土地覆盖、线性构造、坡度、道路以及风向/坡向等环境和社会经济因素进行了加权。利用人口增长、垃圾产生率和每年的垃圾量来计算所需的填埋场规模。研究结果显示,该镇的城市固体废物产生率为0.45千克/人/天,处于埃塞俄比亚大多数城市地区的范围内。另一方面,每日和每年的城市固体废物总产生量分别为79.58吨和29,047吨。此外,研究结果还显示,发现20.8%的固体废物可回收利用,其余79.20%不可回收。考虑到垃圾产生的未来趋势,通过所有必要的适宜性分析,选择了该市北郊和南郊19公顷的土地作为候选填埋场。因此,通过联合应用MCDA和GIS,可以实现城市和城郊地区填埋场选址的优化以及城市固体废物更好的管理系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3771/10682530/e82d0ccb3d91/gr1.jpg

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