Response of debris flow occurrence to daily rainfall pattern and critical rainfall condition in the Anning River–Zemu River Fault Zone, SW China

Ni, Huayong; Song, Zhi

doi:10.1007/s10064-019-01667-z

Cited by 9 publications

(5 citation statements)

References 29 publications

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“…He et al (2017) explored the significance of intensity profile for rill erosion, and Tao et al (2017) did likewise for slope sediment transport, though using a modelling framework rather than field observation. Hoober et al (2017) pointed to the role of intensity profile in gully erosion processes, while Ni and Song (2020) drew attention to its importance in debris flow initiation. Further relevance to mass movement has been documented in the case of shallow landslide occurrence (Fan et al, 2020).…”

Section: The Path Forward In the Study Of Rainfall Intensity And Geomorphologymentioning

confidence: 99%

Rainfall intensity in geomorphology: Challenges and opportunities

Dunkerley

2020

Progress in Physical Geography: Earth and Environment

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Rainfall arrival at the land surface drives or influences many geomorphic processes. These range from the mechanisms through which vegetation transforms rain into erosive gravity drops or stemflow, infiltration and water partitioning at the soil surface, the drop-impact sealing of soil surfaces, splash, sheet, and gully erosion, and triggering of the various forms of mass movement including landslides and debris flows. Rainfall intensity is a key influence on many of these mechanisms but is not a straightforward parameter to quantify, partly owing to the customary aggregation of rainfall data to hourly or other clock-time totals. This aggregation conceals intensity fluctuations including erosive ‘intensity bursts’ as well as the intermittency of rainfall. Nevertheless, much research shows that rainfall intensity over short time periods – 10–30 minutes – has great explanatory power. Much of our understanding of the influence of rainfall intensity is based on rainfall simulation experiments, but the value of the findings is limited because simulation is normally carried out using a high and constant rainfall intensity, quite unlike natural rainfall. This has limited our ability to build an understanding of the other important aspects of rainfall intensity, including, critically, its time variation and changed character among different environments – arid, temperate, or tropical. Thus, significant challenges and opportunities remain in the exploration of rainfall intensity in relation to geomorphology and geomorphic processes.

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Section: The Path Forward In the Study Of Rainfall Intensity And Geomorphologymentioning

confidence: 99%

Rainfall intensity in geomorphology: Challenges and opportunities

Dunkerley

2020

Progress in Physical Geography: Earth and Environment

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“…It was found that although the difference between different rainfall patterns was small when the rainfall duration reached seven days, the difference was more obvious when the rainfall duration was shorter, which further illustrates the important role of antecedent cumulative effective precipitation on the impact of debris flow. By classifying and characterizing the different rainfall patterns that trigger debris flows, the response of debris flows to rainfall processes can be better understood, and a reference can be provided for predicting an early warning of critical daily rainfall conditions for debris flows [49].…”

Section: Discussionmentioning

confidence: 99%

“…To elucidate the relationship between debris flow occurrence and the rainfall process, Ni et al [49] proposed the concept of a rainfall pattern, which reflects the corresponding rainfall process. The classification of rainfall patterns was calculated according to the proportion of intraday rainfall within the antecedent cumulative effective rainfall (ER_0/ER_7).…”

Section: Extraction Of Antecedent Rainfall and Classification Of Rain...mentioning

confidence: 99%

“…In the Hengduan Mountain region (HMR), rainfall-induced debris flows are a widespread and persistent hazard owing to diverse debris flow conditioning factors, such as varying climates, complex terrains, and active geological movements [39]. Previous studies have analyzed the rainfall triggering conditions of debris flow gullies (such as Jiangjia Gully, Yunnan [40][41][42][43][44]) and areas with high debris flow susceptibility caused by tectonic movements, such as the Wenchuan earthquake area [45][46][47], Dazhou, Sichuan [48], and the Anning River-Zemu River Fault Zone [49] in the study area. The method for calculating rainfall thresholds also varies with the scale of the study area.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, in terms of rainfall triggering conditions of debris flow, the rainfall events that trigger debris flow are mainly selected for empirical statistical analysis in this area, whereas the influence of different rainfall patterns on debris flow is ignored. However, clarifying the impact of rainfall processes on debris flow initiation and the corresponding critical rainfall conditions associated with different rainfall processes are urgent issues to be considered [49].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Debris Flow Triggering Conditions for Different Rainfall Patterns Based on Satellite Rainfall Products in Hengduan Mountain Region, China

Liu

Wang

et al. 2022

Remote Sensing

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Rainfall is the main factor that induces debris flow. Satellite rainfall products provide a new source of data in terms of debris flow-triggering conditions to overcome the lack of rainfall data coverage from ground-based rainfall gauges in large-scale mountainous regions. In this study, the applicability of four satellite rainfall products (CMORPH, GPM, MSWEP, and PERSIANN) in the Hengduan Mountain region (HMR) was evaluated with reference to ground observation data from 2000 to 2020. The critical rainfall and rainfall thresholds under different rainfall patterns and warning levels that trigger debris flows were analyzed according to the empirical cumulative distribution function (ECDF) and cumulative probability. The results showed that CMORPH (comprehensive indicator score (CI = 0.72) and GPM (CI = 0.70) performed better in the simulation of daily rainfall sequence consistency and extreme rainfall conditions in the study area. CMORPH also had the highest reconstruction rate for correctly capturing rainfall events that triggered debris flows, with a value of 89%. Approximately half of the rainfall patterns that cause debris flows are antecedent-effective-rainfall-dominated. Both intraday-rainfall-dominated and intraday-antecedent-rainfall-balanced patterns were below 30%. There were evident differences in the critical rainfall for different rainfall patterns under the same warning level. By comparing the results of previous studies on rainfall thresholds, it is believed that the results of this study confirm the application of satellite rainfall products; in addition, the calculated rainfall thresholds can provide a reference for the early warning of debris flows in the HMR. In general, this work is of great significance to the prediction and early warning of debris flow hazards.

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