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Municipal solid waste landfill site selection for the city of Sanliurfa-Turkey:an example using MCDA integrated with GIS

作     者:M.Irfan Yesilnacar M.Lutfi Suzen Basak Sener Kaya Vedat Doyuran 

作者机构:Department of Environmental EngineeringHarran UniversityS¸anliurfaTurkey Department of Geological EngineeringMiddle East Technical UniversityAnkaraTurkey Colorado School of MinesDivision of EngineeringGoldenCOUSA 

出 版 物:《International Journal of Digital Earth》 (国际数字地球学报(英文))

年 卷 期:2012年第5卷第2期

页      面:147-164页

核心收录:

学科分类:083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 08[工学] 0708[理学-地球物理学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Scientific&Technological Research Council of Turkey(TUBI˙TAK)for providing financial support of this work under Grant No:106Y305 

主  题:municipal solid waste(MSW) landfill site selection geographical information systems(GIS) multi-criteria decision analysis(MCDA) 

摘      要:A municipal solid waste(MSW)management system needs solid waste management(SWM)techniques where the presence of a sanitary landfill is *** of the most important issues of sanitary landfilling is to locate the facility to an optimal *** the versatility and case-dependent nature of conventional expert-based site selection procedures,the number of sites to be chosen increases with increased population forcing a number of ***quently,constraints and environmental regulations mechanically mask unsuitable areas,leaving very little areas to be *** turns the situation into a challenging issue for a geographical information system(GIS)used with multicriteria decision analysis(MCDA),to select optimal *** study aims to apply MCDA integrated with GIS to select possible sites of a MSW landfill with the same expert and same cognitive parameters while compared with the already present *** of this study revealed that conventional expert-based methods could not always evaluate all constraints at the same time and map reproduction is limited when parameter maps are changing rapidly in *** order to produce cognitive and reproducible analyses,GIS with MCDA integration offers a good solution for site selection issue and forms a good alternative for conventional methods.

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