Authors :
O. Mohammed; A.T. Ogah; A. Mahnoud
Volume/Issue :
Volume 7 - 2022, Issue 11 - November
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3VfkGEp
DOI :
https://doi.org/10.5281/zenodo.7337638
Abstract :
This study examines the application of
Geographic Information Systems (GIS) in determining
the spatial location and distribution of solid waste
dumpsites in Abuja Municipal Area Council (AMAC).
This present study applied the Techniques of Geographic
Information System (GIS) and Remote Sensing (RS) to
dumpsites and selection in the emerging City of AMAC.
Spatial data such as land use cover types; road, river and
settlement of theCity were extracted from a georeferenced high medium resolution satellite image
through on-screen classification using remote sensing
software. The existing dumpsites were geo-located and
added as a layer to the map of AMAC. The land use
cover, settlement, river and roads were buffered at 1000,
1000 and 2000 meters respectively using preset criteria
such as distance of dumpsites from a settlement at 1000
m, surface water at 1000 m, roads at 2000 m and absence
of important economic or Ecological features; to
determine candidate dumpsites from the land-cover
types.Majority of dumpsites do not meet criteria for
location of dumpsite and many of them are cluster. For
the purpose of this work, 6 standard dumpsites were
selected for Abuja Municipal Area Council, which is
1000 meter away from settlement to avoid environmental
challenge from dumpsite. Remote Sensing and
Geographic Information System help in distributing
facilities in a real world for spatial phenomena.
Therefore, GIS play a significant role in Solid Waste
Management System.
Keywords :
Land use cover, dumpsite, buffer, remote sensing and GIS.
This study examines the application of
Geographic Information Systems (GIS) in determining
the spatial location and distribution of solid waste
dumpsites in Abuja Municipal Area Council (AMAC).
This present study applied the Techniques of Geographic
Information System (GIS) and Remote Sensing (RS) to
dumpsites and selection in the emerging City of AMAC.
Spatial data such as land use cover types; road, river and
settlement of theCity were extracted from a georeferenced high medium resolution satellite image
through on-screen classification using remote sensing
software. The existing dumpsites were geo-located and
added as a layer to the map of AMAC. The land use
cover, settlement, river and roads were buffered at 1000,
1000 and 2000 meters respectively using preset criteria
such as distance of dumpsites from a settlement at 1000
m, surface water at 1000 m, roads at 2000 m and absence
of important economic or Ecological features; to
determine candidate dumpsites from the land-cover
types.Majority of dumpsites do not meet criteria for
location of dumpsite and many of them are cluster. For
the purpose of this work, 6 standard dumpsites were
selected for Abuja Municipal Area Council, which is
1000 meter away from settlement to avoid environmental
challenge from dumpsite. Remote Sensing and
Geographic Information System help in distributing
facilities in a real world for spatial phenomena.
Therefore, GIS play a significant role in Solid Waste
Management System.
Keywords :
Land use cover, dumpsite, buffer, remote sensing and GIS.
