Abstract
Flood is the most common natural hazards and the rank as the deadliest and most frequent hazards that occur worldwide. Nevertheless, features influence like building, roads, and trees to the flow pattern on flood plain due to the urbanisation on that particular area along the river. The present study aims to determine the influence of water velocity and inundated area with or without features on the Interferometric Synthetic Aperture Radar (IFSAR) and Unmanned Aerial Vehicle (UAV) Digital Elevation Model (DEM) and Digital Surface Model (DSM) datasets. The objectives of this study to (i) determine the impact of water velocity occurred with or without features on DEM and DSM datasets, and (ii) validate the flood extent and water depth based on previous flood marks and inundated area. The study area of Padang Terap River is selected because it is considered as a large prone area following by Sungai Kuala Muda. The datasets of DEM and DSM is being used in this research to determine the impact of water velocity. The integration of hydraulic modelling and Geographic Information System (GIS) to identify the flow pattern of water velocity. Due to the existing features, the impact of water velocity occurred with or without features on DEM and DSM dataset might be different. Validating flood extent and water depth shall be done using predicted inundated areas and previous flood marks by applying a hydraulic model to the flood area and water discharge. The result is to predict the impact of flow direction with different orientation of ground features during flood events. Hence, this research is carried out to identify the influence of ground features orientation that affect to the environment and landscape due to human intervention.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Amran, Farah Hanani 2017800028 |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Aerial geography G Geography. Anthropology. Recreation > GB Physical geography > Hydrology. Water G Geography. Anthropology. Recreation > GB Physical geography > Hydrology. Water > Ground and surface waters |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Programme: | Science and Geomatics |
Keywords: | Ground Features ; Flow Pattern ; IFSAR ; UAV Datasets ; Influence |
Date: | 8 March 2021 |
URI: | https://ir.uitm.edu.my/id/eprint/43133 |
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