Preprints
https://doi.org/10.5194/nhess-2017-265
https://doi.org/10.5194/nhess-2017-265
28 Jul 2017
 | 28 Jul 2017
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Debris flow initiation characteristics and occurrence probability after extreme rainfalls: case study in the Chenyulan watershed, Taiwan

Jinn-Chyi Chen, Jiang-Guao Jiang, Wien-Shun Huang, and Yuan-Fan Tsai

Abstract. Rainfall and other extreme events often trigger debris flows. This study examines the debris flow initiation characteristics and probability of debris flow occurrence after extreme rainfalls. The Chenyulan watershed, central Taiwan, which has suffered from the Chi-Chi earthquake (CCE) and extreme rainfalls, was selected as a study area. The rainfall index (RI) was used to analyze the return period (T) and characteristics of debris flow occurrence after extreme rainfalls. The characteristics of debris flow occurrence included the variation in critical RI, threshold of RI for debris flow initiation, and recovery period (t0), the time required for the lowered threshold to return to the original threshold. The variations in critical RI after extreme rainfall and t0 associated with RI were presented. The critical RI threshold was reduced in the years following an extreme rainfall event. The reduction in RI as well as t0 were influenced by the RI. Reduced RI values showed an increasing trend over time, and it gradually return to initial RI. The empirical relationship between the probability of debris flow occurrence (P) and corresponding T of the rainfall characteristics for areas affected by extreme rainfalls and affected by the CCE were developed. Finally, a method for determining the P of a rainfall event was proposed based on the relationship between P and T. This method was successfully applied to evaluate the probability of debris flow occurrence after extreme rainfalls.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jinn-Chyi Chen, Jiang-Guao Jiang, Wien-Shun Huang, and Yuan-Fan Tsai
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Jinn-Chyi Chen, Jiang-Guao Jiang, Wien-Shun Huang, and Yuan-Fan Tsai
Jinn-Chyi Chen, Jiang-Guao Jiang, Wien-Shun Huang, and Yuan-Fan Tsai

Viewed

Total article views: 1,219 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
836 305 78 1,219 79 74
  • HTML: 836
  • PDF: 305
  • XML: 78
  • Total: 1,219
  • BibTeX: 79
  • EndNote: 74
Views and downloads (calculated since 28 Jul 2017)
Cumulative views and downloads (calculated since 28 Jul 2017)

Viewed (geographical distribution)

Total article views: 1,168 (including HTML, PDF, and XML) Thereof 1,160 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Altmetrics