Rainfall duration and debris-flow initiated studies for real-time monitoring

Chen, Chien-Yuan; Chen, Tien-Chien; Yu, Fuliang; Wen-Hui, Yu; Chun-Chieh, Tseng

doi:10.1007/s00254-004-1203-0

Cited by 156 publications

(72 citation statements)

References 9 publications

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“…The later study utilized data from 61 debris flows between 1989 and 2001, obtained from newspapers and interviews with local residents, and the I-D threshold was determined visually rather than statistically. The differences in threshold line slope between our study and Chien- Yuan et al (2005) are likely attributable to their relatively small sample size and subjective method for establishing I-D thresholds. Comparatively, we determined the I-D threshold using 107 debris flow events and employed statistical methods to ensure the validity of our results.…”

Section: Rainfall Conditions and I-d Thresholdsmentioning

confidence: 96%

“…Therefore, it is difficult to predict the exact time of a mass movement using only I-D thresholds. Many studies have found that peak rainfall intensity occurs very close to the time of mass movement occurrence (Aleotti 2004;Chien-Yuan et al 2005;Guzzetti et al 2007Guzzetti et al , 2008Dahal and Hasegawa 2008;Saito et al 2010aSaito et al , 2010b. Thus, analyzing peak rainfall intensity in conjunction with I-D thresholds is useful for characterizing mass movements.…”

Section: Rainfall Conditions and I-d Thresholdsmentioning

confidence: 99%

“…In early years, the lower rainfall boundary (threshold) was determined manually (e.g., Caine 1980;Larsen and Simon 1993;Chien-Yuan et al 2005). However, more recently, mathematical and/or statistical criteria have been used to objectively determine the lower boundary.…”

Section: I-d Thresholdsmentioning

confidence: 99%

“…Among these, the relationship between rainfall intensity (I) and duration (D) is most commonly used to estimate rainfall thresholds (e.g., Caine 1980;Guzzetti et al 2007Guzzetti et al , 2008Brunetti et al 2010;Saito et al 2010aSaito et al , 2014. Several studies have also found that peak rainfall intensity and the initiation of mass movements are often concurrent (Aleotti 2004;Chien-Yuan et al 2005;Guzzetti et al 2007Guzzetti et al , 2008Dahal and Hasegawa 2008;Saito et al 2010aSaito et al , 2010b. Although antecedent rainfall also plays an important role in the initiation of mass movement (Kim et al 1992;Glade 1997;Crozier 1999;Glade et al 2000;Guzzetti et al 2007Guzzetti et al , 2008Dahal and Hasegawa 2008), intensity-duration (I-D) thresholds and/or the peak rainfall intensity are often used to predict mass movements and warn the appropriate authorities of potential mass movement hazards (Onodera et al 1974;Keefer et al 1987;Aleotti 2004;Hong et al 2005;Cannon et al 2008;Coe et al 2008;Dahal and Hasegawa 2008;Guzzetti et al 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Surprisingly, few studies have explored rainfall conditions associated with mass movements in Taiwan as a whole. Although Chien-Yuan et al (2005) investigated the I-D threshold of debris flows in Taiwan, their data were generally sourced from specific areas in northern and central Taiwan and only spanned the time period from 1989 to 2001, thus excluding more recent data. Since mass movements are densely distributed throughout Taiwan, it is important to develop a general relationship between the initiation of mass movements and rainfall conditions.…”

Section: Introductionmentioning

confidence: 99%

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Rainfall intensity–duration conditions for mass movements in Taiwan

Chen

Saitô

Oguchi

2015

Prog. in Earth and Planet. Sci.

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Mass movements caused by rainfall events in Taiwan are analyzed during a 7-year period from 2006 to 2012. Data from the Taiwan Soil and Water Conservation Bureau reports were compiled for 263 mass movement events, including 156 landslides, 91 debris flows, and 16 events with both landslides and debris flows. Rainfall totals for each site location were obtained from interpolated rain gauge data. The rainfall intensity-duration (I-D) relationship was examined to establish a rainfall threshold for mass movements using random sampling: I = 18.10(±2.67)D −0.17(±0.04) , where I is mean rainfall intensity (mm/h) and D is the time (h) between the beginning of a rainfall event and the resulting mass movement. Significant differences were found between rainfall intensities and thresholds for landslides and debris flows. For short-duration rainfall events, higher mean rainfall intensities were required to trigger debris flows. In contrast, for long-duration rainfall events, similar mean rainfall intensities triggered both landslides and debris flows. Mean rainfall intensity was rescaled by mean annual precipitation (MAP) to define a new threshold: I MAP = 0.0060(±0.0009)D −0.17(±0.04) , where I MAP is rescaled rainfall intensity and MAP is the minimum for mountainous areas in Taiwan (3000 mm). Although the I-D threshold for Taiwan is high, the I MAP -D threshold for Taiwan tends to be low relative to other areas around the world. Our results indicate that Taiwan is highly prone to rainfall-induced mass movements. This study also shows that most mass movements occur in high rainfall-intensity periods, but some events occur before or after the rainfall peak. Both antecedent and peak rainfall play important roles in triggering landslides, whereas debris flow occurrence is more related to peak rainfall than antecedent rainfall.

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Section: Rainfall Conditions and I-d Thresholdsmentioning

confidence: 96%

Section: Rainfall Conditions and I-d Thresholdsmentioning

confidence: 99%

Section: I-d Thresholdsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rainfall intensity–duration conditions for mass movements in Taiwan

Chen

Saitô

Oguchi

2015

Prog. in Earth and Planet. Sci.

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Discussion of landslide self‐organized criticality and the initiation of debris flow

Chen

Shu

et al. 2006

Earth Surf Processes Landf

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The study contains descriptions of landslides and debris flows in a small upland catchment in Taiwan between 1986 and 2004. This catchment, the Chushui Creek, is situated near the epicentre of the 1999 M7-6 Chi-Chi earthquake. This is an area with high background erosion rate. The Chi-Chi earthquake caused a sharp increase in the rate of mass wasting in the epicentral area, and the data presented in this study illustrates the geomorphic change associated with the earthquake. The measurements of the geometry of the trunk stream of the Chushui catchment also show its change due to the impact of a strong typhoon in 1996. Two channel reaches that were affected by separate debris flows during this event were identified. Each reach has three sections: scour, transfer and deposition. Cross profiles of these sections show a systematic change from V-shaped bedrock channel in the scour areas to flat-floored channel in the transfer and deposition areas. Debris flows also occurred on other occasions in this channel, and their frequency has increased since the 1999 earthquake. In addition, this study contains precise geographic and statistical descriptions of the landslides triggered by three typhoons and an earthquake that affected the catchment since 1996. The total landslide area is measured for different time intervals, and a marked increase in landslide incidence is found after the 1999 earthquake. Frequency-area plots of the 126 landslides in the catchment indicate a powerlaw scaling with an exponent of about -1-5 of these quantities, as has been observed in other studies. We propose that a link exists between landslide frequency-area distributions and initialization of debris flow in the catchment. It may be classified as a self-organized criticality process with a critical frequency-area distribution for the landslide population. In this case, the landslide frequency-area distribution is useful in quantifying the severity of the trigger and the contribution of landslides to debris flow. Copyright (c) 2006 John Wiley & Sons, Ltd

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Analysing the Relationship Between Typhoon‐Triggered Landslides and Critical Rainfall Conditions

Chang

Chiang

2007

Earth Surf Processes Landf

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Many landslides are triggered by rainfall. Previous studies of the relationship between landslides and rainfall have concentrated on deriving minimum rainfall thresholds that are likely to trigger landslides. Though useful, these minimum thresholds derived from a log-log plot do not offer any measure of confidence in a landslide monitoring or warning system. This study presents a new and innovative method for incorporating rainfall into landslide modelling and prediction. The method involves three steps: compiling radar reflectivity data in a QPESUMS (quantitative precipitation estimation and segregation using multiple sensors) system during a typhoon (tropical hurricane) event, estimating rainfall from radar data and using rainfall intensity and rainfall duration as explanatory variables to develop a landslide logit model. Given the logit model, this paper discusses ways in which the model can be used for computing probabilities of landslide occurrence for a real-time monitoring system or a warning system, and for delineating and mapping landslides.

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Rainfall duration and debris-flow initiated studies for real-time monitoring

Cited by 156 publications

References 9 publications

Rainfall intensity–duration conditions for mass movements in Taiwan

Rainfall intensity–duration conditions for mass movements in Taiwan

Discussion of landslide self‐organized criticality and the initiation of debris flow

Analysing the Relationship Between Typhoon‐Triggered Landslides and Critical Rainfall Conditions

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