Identification of Suitable Areas for Solid Waste Management with the help of Remote Sensing and GIS technology- A case study of Ludhiana, Punjab.
Kanwar Deepak,  Dr. Dheera Kalota
Solid waste not only spoils the landscape but is also one of the major contributors in the deteriorating environment especially in the urban areas of India. Solid waste can be converted into a useful resource if it is managed carefully and at an appropriate area. In this process the foremost important step in solid waste management is the careful and precise identification of suitable area. This study attempts to identify suitable areas for solid waste management for Ludhiana city. It is an industrial city of Punjab situated on the banks of river Sutlej. The suitable areas are identified with the help of Remote Sensing and Geographic Information System. A variety of factors are considered like landuse landcover, groundwater, soil drainage, distance from settlements, distance from canal, distance from drains, slope, distance from city, distance from roads etc. Buffers are made for several factors to categorize the study area. Shape files of all these factors are converted into rasters so that weighted overlay analysis can be applied in ArcMap. All factors are assigned percentage of importance and the subclasses of factors are assigned scale values. The newly generated raster classifies the study area in various suitability zones alongwith suitability index. The most suitable area is converted into KML file and verified on Google Earth. Such scientific identification of area for solid waste management can help in mitigating the environmental pollution.
Keywords- Remote Sensing, GIS, Raster, buffers, weighted overlay analysis.
Cite this Article
Kanwar Deepak,  Dr. Dheera Kalota,   "Identification of Suitable Areas for Solid Waste Management with the help of Remote Sensing and GIS technology- A case study of Ludhiana, Punjab."
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.626-632, September 2019, Available at :http://www.ijedr.org/papers/IJEDR1903110.pdf