Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2877-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2877-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Nov 2018
Research article |
| 06 Nov 2018
| 06 Nov 2018
Evaluating critical rainfall conditions for large-scale landslides by detecting event times from seismic records
Hsien-Li Kuo
Department of Earth Sciences, National Cheng Kung University,
No. 1, University Road, Tainan City, 70101, Taiwan
Department of Earth Sciences, National Cheng Kung University,
No. 1, University Road, Tainan City, 70101, Taiwan
Chi-Wen Chen
National
Science and Technology Center for Disaster Reduction, No. 200, Sec. 3, Beixin
Road, Xindian District, New Taipei City, 23143, Taiwan
Hitoshi Saito
College of Economics, Kanto Gakuin University, 1-50-1
Mutsuura-higashi, Kanazawa-ku, Yokohama, 236-8501, Japan
Ching-Weei Lin
Department of Earth Sciences, National Cheng Kung University,
No. 1, University Road, Tainan City, 70101, Taiwan
Hongey Chen
National
Science and Technology Center for Disaster Reduction, No. 200, Sec. 3, Beixin
Road, Xindian District, New Taipei City, 23143, Taiwan
Department of Geosciences, National Taiwan University, No.1,
Section 4, Roosevelt Road, Taipei, 10617, Taiwan
Wei-An Chao
Department of
Civil Engineering, National Chiao Tung University, No. 1001, Daxue Rd.,
Hsinchu, 30010, Taiwan
Viewed
Total article views: 3,151 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,962 | 1,119 | 70 | 3,151 | 185 | 62 | 67 |
- HTML: 1,962
- PDF: 1,119
- XML: 70
- Total: 3,151
- Supplement: 185
- BibTeX: 62
- EndNote: 67
Total article views: 2,426 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Nov 2018)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,588 | 777 | 61 | 2,426 | 185 | 55 | 57 |
- HTML: 1,588
- PDF: 777
- XML: 61
- Total: 2,426
- Supplement: 185
- BibTeX: 55
- EndNote: 57
Total article views: 725 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 374 | 342 | 9 | 725 | 7 | 10 |
- HTML: 374
- PDF: 342
- XML: 9
- Total: 725
- BibTeX: 7
- EndNote: 10
Viewed (geographical distribution)
Total article views: 3,151 (including HTML, PDF, and XML)
Thereof 2,867 with geography defined
and 284 with unknown origin.
Total article views: 2,426 (including HTML, PDF, and XML)
Thereof 2,166 with geography defined
and 260 with unknown origin.
Total article views: 725 (including HTML, PDF, and XML)
Thereof 701 with geography defined
and 24 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Framework of Emergency Response System for Potential Large-Scale Landslide in Taiwan Y. Tsai et al. 10.3390/w13050712
- Seismic Advances in Process Geomorphology K. Cook & M. Dietze 10.1146/annurev-earth-032320-085133
- Rigidity Strengthening of Landslide Materials Measured by Seismic Interferometry K. Kang et al. 10.3390/rs13142834
- Rainfall early warning threshold and its spatial distribution of rainfall-induced landslides in China H. Dou et al. 10.1016/j.rockmb.2023.100056
- The Taiwan Climate Change Projection Information and Adaptation Knowledge Platform: A Decade of Climate Research L. Lin et al. 10.3390/w14030358
- Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide Y. Yan et al. 10.1016/j.enggeo.2020.105582
- Seismic signal recognition and interpretation of the 2019 “7.23” Shuicheng landslide by seismogram stations Y. Yan et al. 10.1007/s10346-020-01358-x
- Relationships between earthquakes, hurricanes, and landslides in Costa Rica A. Quesada-Román et al. 10.1007/s10346-019-01209-4
- Study on the early warning and forecasting of flash floods in small watersheds based on the rainfall pattern of risk probability combination L. Lu et al. 10.1007/s00477-021-02059-0
- Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al. 10.3390/w12010253
- Analysis of landslide occurrence time via rainfall intensity and soil water index ternary diagram Y. Liu et al. 10.1007/s10346-022-01944-1
- Processing Framework for Landslide Detection Based on Synthetic Aperture Radar (SAR) Intensity-Image Analysis S. Lin et al. 10.3390/rs13040644
- Seismic modelling and observations of rainfall M. Bakker et al. 10.1016/j.jhydrol.2022.127812
- Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. 10.5194/nhess-22-523-2022
- Landslide Characteristics Revealed by High-Frequency Seismic Waves from the 2017 Landslide in Central Japan I. Doi & T. Maeda 10.1785/0220200032
- Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China G. Chen et al. 10.3390/w11091939
- Towards Automatic Landslide-Quake Identification Using a Random Forest Classifier G. Lin et al. 10.3390/app10113670
- Cluster Analysis of Slope Hazard Seismic Recordings Based Upon Unsupervised Deep Embedded Clustering C. Wang et al. 10.1785/0220230011
17 citations as recorded by crossref.
- Framework of Emergency Response System for Potential Large-Scale Landslide in Taiwan Y. Tsai et al. 10.3390/w13050712
- Seismic Advances in Process Geomorphology K. Cook & M. Dietze 10.1146/annurev-earth-032320-085133
- Rigidity Strengthening of Landslide Materials Measured by Seismic Interferometry K. Kang et al. 10.3390/rs13142834
- Rainfall early warning threshold and its spatial distribution of rainfall-induced landslides in China H. Dou et al. 10.1016/j.rockmb.2023.100056
- The Taiwan Climate Change Projection Information and Adaptation Knowledge Platform: A Decade of Climate Research L. Lin et al. 10.3390/w14030358
- Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide Y. Yan et al. 10.1016/j.enggeo.2020.105582
- Seismic signal recognition and interpretation of the 2019 “7.23” Shuicheng landslide by seismogram stations Y. Yan et al. 10.1007/s10346-020-01358-x
- Relationships between earthquakes, hurricanes, and landslides in Costa Rica A. Quesada-Román et al. 10.1007/s10346-019-01209-4
- Study on the early warning and forecasting of flash floods in small watersheds based on the rainfall pattern of risk probability combination L. Lu et al. 10.1007/s00477-021-02059-0
- Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al. 10.3390/w12010253
- Analysis of landslide occurrence time via rainfall intensity and soil water index ternary diagram Y. Liu et al. 10.1007/s10346-022-01944-1
- Processing Framework for Landslide Detection Based on Synthetic Aperture Radar (SAR) Intensity-Image Analysis S. Lin et al. 10.3390/rs13040644
- Seismic modelling and observations of rainfall M. Bakker et al. 10.1016/j.jhydrol.2022.127812
- Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. 10.5194/nhess-22-523-2022
- Landslide Characteristics Revealed by High-Frequency Seismic Waves from the 2017 Landslide in Central Japan I. Doi & T. Maeda 10.1785/0220200032
- Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China G. Chen et al. 10.3390/w11091939
- Towards Automatic Landslide-Quake Identification Using a Random Forest Classifier G. Lin et al. 10.3390/app10113670
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
Short summary
Building an early-warning method for rainfall-induced landslides has been an aim of landslide studies to prevent or mitigate the impact of disasters. The time information of landslides is the linchpin; however, it has been difficult to get the time information. In the study, we applied the observation of landslide-induced seismic signals to extract the occurrence times of numerous large landslides. Furthermore, the common estimations of the rainfall thresholds for landslides were performed.
Building an early-warning method for rainfall-induced landslides has been an aim of landslide...
Altmetrics
Final-revised paper
Preprint