Developing Probabilistic Floodplain Inundation using Hydraulic Model

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Estimating flood hazard in areas subject to flooding from rivers is the basis of many hydrological studies. An estimate of the spatial dimension of the flood event is implicitly deduced from these stages. This study focused on the determination of producing flood plain map from different Annual Rainfall Intensity (ARI) and hydraulic. A numbers of flood plain map were designed using ArcView GIS 3.3 with extension of HECGeoRAS and by using HEC-RAS as hydraulic model. While CCHE2D model visualise the flood extend in 2D and as a comparison with HEC-RAS. Results show that different storm events produced different flood plain extent. As the increase of storm events from 2 years of storm event in 1 hour to 100 years of storm events in 1 hour, the flood plain maps extent were increased both for predevelopment and post development. Therefore, there is the limit in producing a flood plain map. In view of this, research into flooding represents a pressing concern and should be seen as one of the most important applied roles of the hydrological sciences and as a tools towards sustainability development of the ecosystem.

Autorentext

Mohd Aminur Rashid bin Mohd Amiruddin Arumugam is a graduate of the Universiti Sains Malaysia, Malaysia, and holds a PhD degree in Stormwater Management, a Masters degree in Sustainable River Management and BSc in Civil Engineering. Currently works as a lecturer in Universiti Tenaga Nasional, UNITEN, specializing in hydrology and hydraulics.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783659281846
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H220mm x B150mm x T11mm
    • Jahr 2013
    • EAN 9783659281846
    • Format Kartonierter Einband
    • ISBN 3659281840
    • Veröffentlichung 24.10.2013
    • Titel Developing Probabilistic Floodplain Inundation using Hydraulic Model
    • Autor Mohd Aminur Rashid Mohd Amiruddin Arumugam , Zorkeflee Abu Hasan
    • Gewicht 268g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 168

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