Radar rainfall mapping and hydrologic modeling for flood inundation in Linbain River basin, Taiwan

Tsung Yi Pan, Jun Jih Liou, Shao Kun Su, Hone-Jay Chu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, radar rainfall data have emerged as an alternative to in situ observations due to their availability over vast ungauged regions. The focus of this study is to integrate the available radar products within a distributed hydrologic model to characterize the spatial extent of flooding. We present a methodology based entirely on radar rainfall data to set up and calibrate a hydrologic model, simulate the spatial extent of flooding. This study used a two-dimensional hydrologic model for the simulation of extreme flood events that occurred in the Linbain River watershed during Typhoon Morakt, 2009. The analysis showed the value of integrating radar precipitation data along with space-based flood inundation extents as inputs to the distributed hydrologic model. Results show that the quantification of flooding spatial extent with radar data can help to calibrate and evaluate hydrologic models and, hence, potentially improve flood inundation prediction and flood management strategies in the catchments.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages638-643
Number of pages6
Publication statusPublished - 2011 Dec 1
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 2011 Oct 32011 Oct 7

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume1

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan
CityTapei
Period11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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