Application Of Geographic Information System And Hydrological Modelling Of Sungai Galas, Kelantan, Malaysia
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Date
2018-05
Authors
Anees, Mohd Talha
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Flooding is one of the natural hazard in the world as well as in Malaysia. Kelantan is also effected by flooding which need to be analysed. Flood analysis can be done through hydrological modelling by using high resolution data to find exact causes and effects of flooding. But in the absence high resolution or in situ data, what are the alternatives to conduct hydrological modelling? The objectives of this study were (i) to develop alternative methodologies and models for the generation of accurate flooding parameter’s values by using remote sensing and Geographic Information System (GIS) in a data sparse environment in Kelantan, Malaysia and (ii) to conduct 1D and 2D hydrological modelling on prioritized area (Sungai Galas) to validate and to compare the observed and estimated parameters. The motivation behind these objectives was to find the alternative methodologies for estimation of basic input parameters such as precipitation and river cross section for hydrological modelling. Multiple Linear Regression (MLR) was used to improve spatial estimation of average daily precipitation. Northing, easting, elevation, wind speed and slope were selected as predictor variables in MLR. The results shown the dominancy of northing in all cases and significant role of wind speed in model improvement. The validation results showed that closest spatial estimation of average daily precipitation for 17th and 22nd December 2014 events (151.1 and 155.6 mm/d respectively) with spatial observed average daily precipitation (146.3 and 164.9 mm/d respectively). Additionally, daily rainfall erosivity model was also developed with accuracy of 8.2% overestimation which is better from previously developed model (32% overestimation) and watersheds were prioritized to conduct hydrological modelling.
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Keywords
Develop alternative methodologies and models , generation of accurate flooding parameter’s values