Modeling the spatial occurrence of shallow landslides triggered by typhoons (Articolo in rivista)

Type
Label
  • Modeling the spatial occurrence of shallow landslides triggered by typhoons (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.geomorph.2013.11.020 (literal)
Alternative label
  • Kang-tsung Chang a, Shou-hao Chiang b, Yi-chin Chen c, Alessandro C. Mondini d (2014)
    Modeling the spatial occurrence of shallow landslides triggered by typhoons
    in Geomorphology (Amst.)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Kang-tsung Chang a, Shou-hao Chiang b, Yi-chin Chen c, Alessandro C. Mondini d (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • a Kainan University, 1, Kainan Road, Luzhu, Taoyuan County 33857, Taiwan b Center for Space and Remote Sensing Research, National Central University, 300, Jhongda Rd., Jhongli City, Taoyuan County 32001, Taiwan c Taiwan Typhoon and Flood Research Institute, National Applied Research Laboratories, 97, Sec. 1, Roosevelt Rd., Taipei City 10093, Taiwan d Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, I-06128 Perugia, Italy (literal)
Titolo
  • Modeling the spatial occurrence of shallow landslides triggered by typhoons (literal)
Abstract
  • Many shallow landslides in Taiwan are triggered by typhoons (tropical cyclones) during the summer months. Each typhoon produces a different rainfall distribution, depending on its track and position and the atmospheric conditions. This study investigated whether the additional rainfall data in a landslide susceptibility model can im- prove its performance in predicting typhoon-triggered landslides, and whether information on past typhoon events, combined with an event-based landslide inventory, can help predict landslides triggered by a typhoon. To answer these questions, the study adopted a method that integrates rainfall data with the critical rainfall model (a landslide susceptibility model based on geoenvironmental factors) to derive a logistic regression model for predicting landslide occurrence. Results of a back analysis of landslides triggered by nine typhoons from 2001 to 2009 reveal that, by including rainfall data, the integrated method performs better than the critical rainfall model in the average overall accuracy rate (0.78 vs. 0.45) and the average modified success rate (0.75 vs. 0.68). Our preliminary results also suggest that it is possible to predict landslides triggered by a typhoon by using a catch-all model developed from all other typhoon events in an inventory, or a group model developed from other typhoon events of similar rainfall characteristics in an inventory. This study opens up a new research direc- tion in analyzing rainfall-triggered landslides in Taiwan and elsewhere. (literal)
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