Hydrometeorological triggering of periglacial debris flows using a Bayesian approach: a case study of the Hailuogou Gully region, China

Zheng Wang, Ningsheng Chen (), Guisheng Hu, Yong Zhang, Genxu Wang and Zheng Han
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Zheng Wang: Chinese Academy of Sciences
Ningsheng Chen: Chinese Academy of Sciences
Guisheng Hu: Chinese Academy of Sciences
Yong Zhang: Anyang Institute of Technology
Genxu Wang: Chinese Academy of Sciences
Zheng Han: Central South University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 116, issue 3, No 4, 2888 pages

Abstract: Abstract Many debris flows have occurred in small basins with a small glacier cover or snow cover in periglacial areas, suddenly caused high mortality and great damage. The hydrometeorological conditions that caused such debris flows are complex, making forecasting and early warning difficult. Previous studies for these small-glacial-covered basins have primarily considered rainfall as the only inducing factor of debris flows, and often the effects of temperature are neglected. Thus, we carried out a probabilistic analysis of variables derived from hydrometeorological factors for the Mount Gongga region, Sichuan, China, where debris flows were recorded on 14 days between 1988 and 2019. By analyzing hydrological characteristics when debris flows occurred, three distinct dominant trigger types could be identified. The results show that seven (50%) of the observed debris flow events during the study period, high-intensity rainfall was the dominant trigger, snowmelt by high temperature was identified as the dominant trigger for 2 (14%). Furthermore, five (36%) debris flow events could be attributed to the combined effects of long-lasting (or short-medium) rainfall and sustained higher temperatures. We find that the differences between the trigger types are statistically significant, and a susceptibility prediction differentiating between trigger types can outperform simple rainfall-only situations. This study contributes to an improved understanding of the hydrometeorological impact on debris flow initiation in high elevation watersheds.

Keywords: Periglacial debris flows; Meteorological causes; Bayesian probability; Early warning threshold (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-022-05788-9

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