Floodplain Mapping and Visualization for Flood Risk Assessment and Decision Support in Sarawak Kanan River
Sarawak Kanan River is one of the tidal rivers frequently affected by flood in Sarawak, Malaysia. Over the years, physical development has been concentrated in the middle valley town of Bau, where the center of administration and commerce for the district is located. The town of Bau and surroundi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Baywood Publishing Co., Inc.
2005
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/10208/1/FREDERIK.pdf http://ir.unimas.my/id/eprint/10208/ https://www.researchgate.net/publication/275622312_Floodplain_Mapping_and_Visualization_for_Flood_Risk_Assessment_and_Decision_Support_in_Sarawak_Kanan_River |
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| Summary: | Sarawak Kanan River is one of the tidal rivers frequently affected by flood
in Sarawak, Malaysia. Over the years, physical development has been concentrated
in the middle valley town of Bau, where the center of administration
and commerce for the district is located. The town of Bau and surrounding
areas is a well known flood-prone area, for being geographically located
in the floodplain of Sarawak Kanan River. Major floods of February 2003
and January 2004 had Bau and surrounding areas flood-stricken. The area
has little hydrological information to ponder with, thus indicating a need
of a flood visualization model to have a better explanation of the flooding
scenarios in the floodplain areas. For this purpose, the flooding of Sarawak
Kanan River was modeled using the InfoWorks RS one-dimensional hydrodynamic
model. The inputs consist of observed discharge hydrographs of
upstream Buan Bidi sub-catchment and lumped synthetic discharge hydrographs
of ungauged sub-basins. Observed stage hydrographs measured at
Siniawan were used as downstream input. This article outlined the methodology
for flood mapping and visualization to enable flood risk assessment and
decision support modeling for future development in floodplain protection
and control. The model was capable of providing an acceptable estimate of
flood depths with a correlation coefficient of 0.83. |
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