Swat Subbasins Parameters And Flood Risk Simulations Using 3d In Terengganu Watershed

Ibrahim Sufiyan (), Dr. Razak Bin Zakariya (), Rosnan Yacoob (), Md.Suffian Idris () and Nasir M. Idris ()
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Ibrahim Sufiyan: School of Marine and Environmental Sciences, Universiti MalaysiaTerengganu, 21030 Kuala Terengganu, Terengganu, Malaysia.
Dr. Razak Bin Zakariya: Abdul Wali Khan University Mardan Department of Mathematics (Pakistan)
Rosnan Yacoob: School of Marine and Environmental Science. Universiti Malaysia Terengganu
Md.Suffian Idris: School of Marine and Environmental Science. Universiti Malaysia Terengganu
Nasir M. Idris: Department of Geography Faculty of Environmental Science , Nasarawa State University, P.M.B 1022 Keffi, Nasarawa State, Nigeria.

Earth Sciences Malaysia (ESMY), 2018, vol. 2, issue 2, 10-15

Abstract: Flood is one of the natural disasters that occurs mostly due to climate characteristics and locations. The application of SWAT has categorized the subbasins and identify them on the basis of parameters. The use of GIS technology produces the flood risk zone through the 3D ArcScene 10.3. the ArcGIS 10.3 and ArcSWAT 2012 were employed for the analysis of the result. The remote sensing data from ASTER DEM was also been used for providing the high-resolution platform. One of the significance of this study is the identification of 25 different sub-basins with their individual parameters that make easiear to classify and explore. The 3Dsimulation produces different categories of flood risk zone from very high vulnerability of flood to no flood risk zone. All these are confined within the 25 subbasins parameters obtained from the catchment area of Terengganu. The model designed in this study is clearly going to be useful for planning as well as management not only in Terengganu but entire Malaysia or similar environment.

Keywords: Flood risk; Subbasins; 3D simulation; SWAT; GIS . (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbesmy:v:2:y:2018:i:2:p:10-15

DOI: 10.26480/esmy.02.2018.10.15

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