Open AccessFlood Susceptibility Analysis (FSA) Using Analytical Hierarchy Process (AHP) Model at The Kg. Kolopis area, Penampang, Sabah, Malaysia
Author(s) -
Kamilia Sharir,
Rodeano Roslee,
Syalini Mariappan
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1358/1/012065
Subject(s) - flood myth , zoning , flooding (psychology) , analytic hierarchy process , digital elevation model , environmental science , shuttle radar topography mission , hydrology (agriculture) , hazard analysis , field survey , natural hazard , hazard , flood mitigation , monsoon , water resource management , geography , civil engineering , cartography , geology , remote sensing , geotechnical engineering , meteorology , engineering , operations research , psychology , chemistry , archaeology , organic chemistry , aerospace engineering , psychotherapist
Flooding is one of the major natural disasters in Sabah, Malaysia. Several recent cases of catastrophic flooding were recorded mainly in Kg. Kolopis area, Sabah. Heavy monsoon rainfall has triggered floods and caused significant damage in Kg. Kolopis area. The 2014 floods have affected 5,000 peoples. The objectives of this paper are (i) to determine the Flood Hazard Level (FHL) and (ii) to identify the factors contributing to the flood occurrences. In this study, eight (8) parameters were considered in relation to the causative factors to flooding, which are: rainfall, slope gradient, elevation, drainage density, land use, soil textures, slope curvatures and flow accumulation Flood Hazard Analysis (FHAn) map were produced based on the data collected from the field survey, laboratory analysis, high resolution digital radar images (IFSAR) acquisition, and secondary data in three (3) different period (2002, 2008 and 2014). FHL was defined using Analytical Hierarchy Process (AHP) Model integrated with GIS software. The developed model will be a precious resource for consulting, planning agencies and local governments in managing risk, land-use zoning and remediation efforts to mitigate risks. Moreover, the technique applied in this study can easily be extended to other areas, where other factors may be considered, depending on the availability of data.