Influence of Specific Contributing Area algorithms on slope failure prediction in landslide modeling

@inproceedings{Huang2008InfluenceOS,
  title={Influence of Specific Contributing Area algorithms on slope failure prediction in landslide modeling},
  author={J.-C. Huang and S. L. Kao and M.-L. Hsu and Y.-A. Liu},
  year={2008}
}
This study anatomized algorithm effects of specific contributing area (SCA) on soil wetness estimation, consequently landslide prediction, in SHALSTAB. A subtropical mountainous catchment during three typhoon invasions is targeted. The peak 2-day rainfall intensity of the three typhoons: Haitang, Mindulle and Herb are 144, 248 and 327 mm/day, respectively. We use modified success rate (MSR) to retrieve the most satisfying mean condition for model parameters in SHALSTAB at three rainfall… CONTINUE READING

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