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Integration of RS, GIS and MIKE 11 Hydrodynamic Modeling for Flood Early Warning: A case study of the Langat river basin Malaysia

Lawal Billa
biwal2000@yahoo.com

Shattri Mansor
Ahmad Rodzi Mahmud
Abdul Halim Ghazali

Spatial & Numerical Modeling Laboratory
Institute of Advanced Technology
University Putra Malaysia
43400 Serdang, Selangor,
Malaysia



Abstract
Floods are considered the most significant natural disaster affecting Malaysia from the perspective of their frequency, financial cost and most importantly the impact on the population and the disruption to socio-economic activities. Since it is evidently clear that it is neither possible nor desirable to control floods completely, the state of preparedness and mitigation should be improved with a operational flood early warn system. This paper investigates flood early warning system development for Langat river basin through the coupling of remote sensing for quantitative precipitation forecasting (QPF) and GIS hydrodynamic modeling. Real-time NOAA-AVHRR data is processed for rainfall estimates using cloud indexing and model base techniques. Digital hydrological and cadastral data are used to generate DEM and river geometry in ArcView GIS and MIKE 11 hydrodynamic model for the operational hydraulic modeling of runoff and simulation of flooding scenarios. Expected flood inundation area map are developed.