Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR
This paper presents a novel integrated Geographic Information System-Multi-Criteria Decision Making (GIS-MCDM) framework for evaluating landfill site suitability in Shimla, India, a rapidly urbanizing hill station. Combining Remote Sensing-Geographic Information Systems (RS-GIS) with the Analytical...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Waste Management Bulletin |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949750725000100 |
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| author | Shobhit Chaturvedi Naimish Bhatt Vatsal Shah Keval H. Jodhani Dhruvesh Patel Sudhir Kumar Singh |
| author_facet | Shobhit Chaturvedi Naimish Bhatt Vatsal Shah Keval H. Jodhani Dhruvesh Patel Sudhir Kumar Singh |
| author_sort | Shobhit Chaturvedi |
| collection | DOAJ |
| description | This paper presents a novel integrated Geographic Information System-Multi-Criteria Decision Making (GIS-MCDM) framework for evaluating landfill site suitability in Shimla, India, a rapidly urbanizing hill station. Combining Remote Sensing-Geographic Information Systems (RS-GIS) with the Analytical Hierarchy Process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods, the framework developed a Landfill Suitability Zoning map and ranked potential sites. The Land Suitability Index (LSI), derived using AHP, categorized the 124 sq. km study area into five suitability classes, with key factors influencing rankings: Landslide Proximity (weight: 0.162), Ground Slope (0.138), Land Use and Cover (0.122), Ground Elevation (0.114), and Road Proximity (0.095). From the Very High suitability zones, eight candidate sites were identified and ranked using VIKOR, with Kiargiri (score: 0.083) identified as the most suitable, followed by Baboloo (0.530), Karog (0.535), and Phayal Road (0.663). Sensitivity Analysis (SA) was conducted across five scenarios to account for possible variations in expert judgment, with the first three increasing beneficial weights (10 %, 15 %, and 20 %) and the last two decreasing beneficial weights (15 % and 20 %), proportionally adjusting non-beneficial weights. The SA confirmed the consistency and robustness of the rankings, with Kiargiri (0.083), Baboloo (0.530), Karog (0.535), and Phayal Road (0.663) maintaining top positions despite varying weight configurations. This approach offers a reliable, adaptable framework for landfill site selection in hilly urban areas, supporting waste management, sustainable development and environmental conservation. |
| format | Article |
| id | doaj-art-f31923a604fe474fb044bc2bc5c401ee |
| institution | Kabale University |
| issn | 2949-7507 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Waste Management Bulletin |
| spelling | doaj-art-f31923a604fe474fb044bc2bc5c401ee2025-02-11T04:35:44ZengElsevierWaste Management Bulletin2949-75072025-04-0131332348Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKORShobhit Chaturvedi0Naimish Bhatt1Vatsal Shah2Keval H. Jodhani3Dhruvesh Patel4Sudhir Kumar Singh5Department of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaDepartment of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaDepartment of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaDepartment of Civil Engineering, Institute of Technology, Nirma University, Ahmedabad, India; Corresponding authors.Department of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India; Corresponding authors.K. Banerjee Centre of Atmospheric and Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, Prayagraj-211002, Uttar Pradesh, IndiaThis paper presents a novel integrated Geographic Information System-Multi-Criteria Decision Making (GIS-MCDM) framework for evaluating landfill site suitability in Shimla, India, a rapidly urbanizing hill station. Combining Remote Sensing-Geographic Information Systems (RS-GIS) with the Analytical Hierarchy Process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods, the framework developed a Landfill Suitability Zoning map and ranked potential sites. The Land Suitability Index (LSI), derived using AHP, categorized the 124 sq. km study area into five suitability classes, with key factors influencing rankings: Landslide Proximity (weight: 0.162), Ground Slope (0.138), Land Use and Cover (0.122), Ground Elevation (0.114), and Road Proximity (0.095). From the Very High suitability zones, eight candidate sites were identified and ranked using VIKOR, with Kiargiri (score: 0.083) identified as the most suitable, followed by Baboloo (0.530), Karog (0.535), and Phayal Road (0.663). Sensitivity Analysis (SA) was conducted across five scenarios to account for possible variations in expert judgment, with the first three increasing beneficial weights (10 %, 15 %, and 20 %) and the last two decreasing beneficial weights (15 % and 20 %), proportionally adjusting non-beneficial weights. The SA confirmed the consistency and robustness of the rankings, with Kiargiri (0.083), Baboloo (0.530), Karog (0.535), and Phayal Road (0.663) maintaining top positions despite varying weight configurations. This approach offers a reliable, adaptable framework for landfill site selection in hilly urban areas, supporting waste management, sustainable development and environmental conservation.http://www.sciencedirect.com/science/article/pii/S2949750725000100ShimlaLandfill site selectionGIS-MCDMAnalytical hierarchy processVIKORSensitivity-analysis |
| spellingShingle | Shobhit Chaturvedi Naimish Bhatt Vatsal Shah Keval H. Jodhani Dhruvesh Patel Sudhir Kumar Singh Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR Waste Management Bulletin Shimla Landfill site selection GIS-MCDM Analytical hierarchy process VIKOR Sensitivity-analysis |
| title | Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR |
| title_full | Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR |
| title_fullStr | Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR |
| title_full_unstemmed | Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR |
| title_short | Landfill site selection in hilly terrains: An integrated RS-GIS approach with AHP and VIKOR |
| title_sort | landfill site selection in hilly terrains an integrated rs gis approach with ahp and vikor |
| topic | Shimla Landfill site selection GIS-MCDM Analytical hierarchy process VIKOR Sensitivity-analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2949750725000100 |
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