Research article
|
19 Apr 2013
Research article |
|
19 Apr 2013
Characteristics of rainfall triggering of debris flows in the Chenyulan watershed, Taiwan
J. C. Chen, C. D. Jan, and W. S. Huang
Viewed
Total article views: 2,031 (including HTML, PDF, and XML)
HTML |
PDF |
XML |
Total |
BibTeX |
EndNote |
871 |
1,061 |
99 |
2,031 |
80 |
68 |
- HTML: 871
- PDF: 1,061
- XML: 99
- Total: 2,031
- BibTeX: 80
- EndNote: 68
Views and downloads (calculated since 19 Apr 2013)
Cumulative views and downloads
(calculated since 19 Apr 2013)
Cited
21 citations as recorded by crossref.
-
Urban extreme rainfall events: categorical skill of WRF model simulations for localized and non‐localized events
G. Mohapatra et al.
10.1002/qj.3087
-
A case study of shallow landslides triggered by rainfall in Sanming, Fujian Province, China
B. Yu et al.
10.1007/s12665-023-11118-4
-
Variability in the characteristics of extreme rainfall events triggering debris flows: a case study in the Chenyulan watershed, Taiwan
J. Chen et al.
10.1007/s11069-020-03938-5
-
Catastrophic debris flows on July 10th 2013 along the Min River in areas seriously-hit by the Wenchuan earthquake
Y. Ge et al.
10.1007/s11629-014-3100-7
-
Topographical and rainfall factors determining the formation of gully-type debris flows caused by shallow landslides in the Dayi area, Guizhou Province, China
B. Yu et al.
10.1007/s12665-016-5243-z
-
Extreme-rainfall Data as a Basis for Landslide Warnings: a Case Study of a Road in Central Taiwan
J. Lin et al.
10.1088/1755-1315/798/1/012018
-
Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data
U. Lay et al.
10.3390/s19163451
-
Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin
Y. Ouma et al.
10.1007/s40747-021-00365-2
-
Large-scale flash flood warning in China using deep learning
G. Zhao et al.
10.1016/j.jhydrol.2021.127222
-
An analysis of meteorological services under extreme weather conditions based on a Bayesian decision-support model: a case study of the thunderstorms in Beijing on July 21, 2012
H. Hu et al.
10.1007/s11069-015-1766-y
-
Comparing characteristics of rainfall- and earthquake-triggered landslides in the Upper Minjiang catchment, China
S. Bai et al.
10.1016/j.enggeo.2020.105518
-
Grain-Size Analysis of Debris Flow Alluvial Fans in Panxi Area along Jinsha River, China
W. Zhang et al.
10.3390/su71115219
-
Extracting more features from rainfall data to analyze the conditions triggering debris flows
Y. Zhao et al.
10.1007/s10346-022-01893-9
-
Event-based rainfall warning regression model for landslide and debris flow issuing
C. Chen
10.1007/s12665-020-8877-9
-
Atmospheric circulation patterns, cloud-to-ground lightning, and locally intense convective rainfall associated with debris flow initiation in the Dolomite Alps of northeastern Italy
S. Underwood et al.
10.5194/nhess-16-509-2016
-
Investigation of the 2019 Wenchuan County debris flow disaster suggests nonuniform spatial and temporal post-seismic debris flow evolution patterns
X. Zhang et al.
10.1007/s10346-022-01896-6
-
Estimating the daily rainfall thresholds of regional debris flows in the Bailong River Basin, China
Y. Zhao et al.
10.1007/s10064-023-03068-9
-
Characterisation of transport resilience and measures to enhance resilience in the recovery after the 2016 Kaikōura earthquake
D. Mason & P. Brabhaharan
10.5459/bnzsee.54.2.69-81
-
Design and performance of a novel multi-function debris flow mitigation system in Wenjia Gully, Sichuan
F. Liu et al.
10.1007/s10346-017-0849-0
-
AI-based rainfall prediction model for debris flows
Y. Zhao et al.
10.1016/j.enggeo.2021.106456
-
Evaluation of Rainfall-Triggered Debris Flows under the Impact of Extreme Events: A Chenyulan Watershed Case Study, Taiwan
J. Chen & W. Huang
10.3390/w13162201
Latest update: 28 Apr 2024