Home > Application > Natural Hazard Management > Flood & Cyclones



| Abstract | Full Paper | PDF | Printer Friendly Format |

Page 3 of 3
| Previous |


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


The processing of data for simulation in MIKE 11 hydrodynamic module involves preparation of network, cross section hydrodynamic and boundary parameters. The hourly data rainfall, water level and flow are created into compatible MIKE 11 time series in a separate file as input the for parameter editors. The results of the simulation were called to the integrated ArcView GIS 3.2 for the development and generation flood inundation maps.

In the ArcView GIS digital elevation model (DEM) is developed for Denkil sub-basin of Langat (Fig 4c). The integrated MIKE 11 GIS provides tools thorough channel and surface geometry modeling that includes embankment and floodplain. The DEM module was variously applied to prepare denkil catchment area, after which the MIKE 11 simulation results and network branches were imported and prepared for flood modeling. The Flood Management (FM) module in the MIKE 11 GIS was to process simulation result and generate flood inundation Map (Fig. 4d). An evaluation of the inundation map result showed significant similarity with flood extent of 2000 that was the simulation period.

Conclusion
The operational coupling of remote sensing techniques with a 'hydrologically oriented' Geographical Information System is done with particular emphasis on the suitability of distributed hydrological modeling for the implementation of reliable and fully automated flood simulations and early warning. In this study the steps for the development of advance flood early warning and forecasting for the Langat basin were discussed. Remote sensing techniques are explored for QPF using near real-time AVHRR data. An integrated MIKE 11 hydrodynamic model and ArcView GIS are used for runoff and water level simulation and hydrological data process to generated flood inundation maps. The processing QPF is preliminary thus results are indicative requiring further investigation. The integrated MIKE11 GIS aimed at early warning and flood mitigation were however very positive as result of the flood map show.

References
Anagnostou, E. N., Negri, A. J. and Adler, R. F.. 1999. A satellite infrared technique for diurnal rainfall variability studies. J. Geophys. Res., 104, 31477–31488.

Bendix, J. (2000), Precipitation dynamics in Ecuador and Northern Peru during the 1991/92 El Niño: a remote sensing perspective. Int. J. Remote Sensing, 21, 533-548.

Gruber, A.(1973), Estimating rainfall in regions of active convection. J. Appl. Meteorology., 12, 110- 118.

Ho, K. H., Ghazali, A. H., and Chong, S. F. (2002), Calibration and Evaluation of Modified Tank Model (Flood Forecasting Model) for Kelantan River Basin, Malaysia, Proceeding of the Water Engineering Conference Malaysia 2002. July 23-24. University Putra Malaysia http://eng.upm.edu.my/wec2002/sessions/watergeo.htm . Accessed Aug 15, 2003

MIKE 11 (2003), A brief introduction to MIKE 11 and its capabilities, http://www.dhisoftware.com/mike11/Description/What_is_MIKE_11.htm. Accessed Jan 15, 2004.

Reudenbach, C., Heinemann, G., Heuel, E., Bendix, J., and Winiger, M. (2001) Investigation of summertime convective rainfall in Western Europe based on a synergy of remote sensing data and numerical models. Meteorol. Atmos. Phys., 76, 23-41.

Page 3 of 3
| Previous |