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Abstract - Selecting a proper land for the dumping of waste disposal material in urban areas is a big task for administrations and municipalities. This research idea focused to select a proper landfill dumping site location for waste material in urban cities using Geographical Information Technology (GIS) and give suggestions to promote awareness and training camps for municipal workers and students to keep urban cities clean and hygienic for testing we had taken South-West district of Delhi. For the identification of the dumping site we used 5 major criteria, these are roads, railways, waterways, buildings, and places which were later assigned weights according to their importance using a weighted overlay tool in ArcGIS software 10.4 versions and divided into 3 categories i.e. not suitable, less suitable, and suitable land which indicates that only 6.38% land is suitable for dumping waste material in South-West district of Delhi which mostly covers the south-western side of this district because population and construction are less there a comparison to other areas. Land use and Land cover map were prepared for the verification of the urban dumping site on which only open land we can use as a dumping site construction cover the total 1.01%, (2022) of the land. The result of this study could be used as a preliminary input for further detailed study and the information supports concerned authorities to improve waste management for urban cities based on field verification.
Keywords:
Site Suitability Analysis, Dumping Sites, Awareness, Geospatial Technology
Cite Article:
"Site Suitability Analysis for Urban Dumping Landfill in the South-West Delhi, Using Geospatial Technology", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.919 - 928, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307130.pdf
Downloads:
000205100
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator