Landfill suitability site assessment in CDO City integrating GIS and LiDAR derived datasets using QGIS / Rinante M. Buntod
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Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Commission on Higher Education Thesis | Thesis and Dissertation | LG 996 2018 C6 B8 (Browse shelf(Opens below)) | Storage Area (Restricted Access) | CHEDFR-00031 | ||
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Commission on Higher Education Digital Thesis and Dissertation | Digital Thesis and Dissertation | LG 996 2018 C6 B8 (Browse shelf(Opens below)) | Available (Room Use Only) | DCHEDFR-000054 |
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Thesis (Master of Science in Information Technology) -- Ateneo de Davao University, October 2018.
Due to the ever-increasing human population and anthropogenic activities,
the world and its inhabitants are facing a substantial dilemma for environmental and
health crisis. This has gradually worsened because efficient waste management
systems are not correctly implemented. Though, the Ecological Solid Waste
Management Act (RA 9003) in the Philippines had been enacted more than a decade
ago, still the open dumping ofmunicipal solid waste is a common problem. This study
aimed to identify a potential suitable landfill site in the city of Cagayan de Oro
integrating GIS and LiDAR-derived dataset. The DENR Administrative Order No. 50
series of 1998 (DAO 1998-50) was used to evaluate the criteria in identifying the
potential suitable landfill site in CDOC using the recommended measures in each
criterion. Every criterion was converted to rasterized Boolean format where 1 is the
suitable area while O is the unsuitable area. Using the overlay analysis (multiplicative
method), every criterion was multiplied each other to produce a final result for
potential suitable landfill site. Three potential suitable landfill sites were identified
namely: the southern part of Barangay Lumbia, southern part of Barangay Cugman
and middle part of Barangay Balubal. Thus, integrating GIS and LiDAR-derived
dataset provides more reliable results in finding potential suitable landfill sites. It is
recommended to use the updated GIS data for better results. The output of this
research study could later be used to benefit the waste management team in
improving an efficient solid waste management system
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