Spatio-temporal estimates of solid waste disposal in an urban city of India: A remote sensing and GIS approach

The aim of present study is to find out suitable sites for solid waste disposal (SWD) in the tropical moist sub-humid region of Bolpur municipality, Birbhum district, West Bengal, India using Remote Sensing (RS), Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) techniques. Saaty’s AHP technique was used to delineate the suitable sites for SWD using thematic layers such as land use/land cover, geology, slopes and soils. The ranks were assigned for each individual sub-criterion of thematic layers and weights assigned to each thematic layer for selection of suitable sites for SWD using Arc-GIS environment. Possible landfill sites were categorized into five classes as highly suitable, suitable, moderately suitable and unsuitable. About 16.43% (1.97 km2) and 28 % (3.42 km2) area in the region show as highly suitable and suitable sites for SWD, respectively. On the other hand, 39.13 % (4.69 km2), 9.49 % (1.14 km2) and 6.38% (0.77km2) area show moderately suitable, less suitable and unsuitable for solid waste dumping.

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Site selection model for urban solid waste disposal management using GIS and remote sensing: a case of Gulu Municipality

International Journal of Environment and Waste Management ◽

10.1504/ijewm.2019.10025335 ◽

2019 ◽

Vol 24 (4) ◽

pp. 405

Author(s):

Jackson Abandu ◽

Patrick Job Ogao ◽

Patrick Okot

Keyword(s):

Remote Sensing ◽

Solid Waste ◽

Waste Disposal ◽

Site Selection ◽

Selection Model ◽

Solid Waste Disposal ◽

Gis And Remote Sensing ◽

Urban Solid Waste

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Site selection model for urban solid waste disposal management using GIS and remote sensing: a case of Gulu Municipality

International Journal of Environment and Waste Management ◽

10.1504/ijewm.2019.103645 ◽

2019 ◽

Vol 24 (4) ◽

pp. 405-436

Author(s):

Patrick Okot ◽

Patrick Job Ogao ◽

Jackson Abandu

Keyword(s):

Remote Sensing ◽

Solid Waste ◽

Waste Disposal ◽

Site Selection ◽

Selection Model ◽

Solid Waste Disposal ◽

Gis And Remote Sensing ◽

Urban Solid Waste

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Application of Geographic Information System and Remotesensing in effective solid waste disposal sites selection in Wukro town, Tigray, Ethiopia

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-2-115-2014 ◽

2014 ◽

Vol XL-2 ◽

pp. 115-119 ◽

Cited By ~ 4

Author(s):

A. A. Mohammedshum ◽

M. A. Gebresilassie ◽

C. M. Rulinda ◽

G. H. Kahsay ◽

M. S. Tesfay

Keyword(s):

Remote Sensing ◽

Information System ◽

Geographic Information System ◽

Solid Waste ◽

Waste Disposal ◽

Geographic Information ◽

Solid Waste Disposal ◽

Dumping Site ◽

Remote Sensing Techniques ◽

The Town

Identifying solid waste disposal sites and appropriately managing them is a challenging task to many developing countries. This is a critical problem too in Ethiopia in general and in Wukro town in particular. The existing site for Wukro town is not sufficient in its capacity and it is damaging the environment due to its location, and the type of waste dumped, while the surrounding area is being irrigated. Due to the swift expansion and urbanization developments in Wukro town, it badly needs to develop controlled solid waste dumping site to prevent several contamination problems. This study was conducted first, to assess the existing waste management strategies in Wukro town; and second, to find out the potential waste disposal sites for the town, using GIS and Remote Sensing techniques. The study exploited the Multi-Criteria Evaluation (MCE) methods to combine necessary factors considered for dumping site selection. The selected method also uses various geographical data including remote sensing data, with GIS spatial analysis tools. Accordingly, site suitability maps for each of the factors were developed in a GIS environment. Results indicate that 12 dumping sites were appropriate and they were further ranked against their suitability in terms of wind direction, proximity to settlement area and distance from the center of the town. Finally, two sites are the best suitable for dumping site. This study indicated that the application of Geographic Information System and Remote Sensing techniques are efficient and low cost tools to study and select appropriate dumping site so as to facilitate decision making processes.

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