Radar Rainfall Estimates for Hydrologic and Landslide Modeling

  • Kang-Tsung Chang
  • Jr-Chuan Huang
  • Shuh-Ji Kao
  • Shou-Hao Chiang


The spatial variability of rainfall is an important input to hydrologic and landslide modeling. The scarcity of rain gauges, especially in mountainous watersheds, has been a common problem in incorporating spatially variable rainfall fields into hydrologic and landslide models. This study describes the application of rainfall estimates derived from multi-sensor radar data for two storm events. For both stream discharge simulation and landslide modeling, the results are encouraging. Statistics for comparing the simulated with the observed show that radar rainfall is more accurate than gauged rainfall in simulating stream discharge. A logit model developed from landslides and radar rainfall for one storm event is able to predict over 80% of landslides triggered by another storm event. This study suggests that radar rainfall, although it still has some shortcomings, can be an alternative to gauged rainfall for modeling applications.


Rainfall Intensity Landslide Occurrence Radar Data Inverse Distance Weighted Stream Discharge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kang-Tsung Chang
    • 1
  • Jr-Chuan Huang
  • Shuh-Ji Kao
  • Shou-Hao Chiang
  1. 1.Kainan UniversityTaoyuanTaiwan

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