Contrasting slope histories under similar final-window rainfall in rock-slope failures: implications for monitoring

Rainfall is central to slope-hazard assessment and early warning, yet the meteorological state at release may not represent the pre-failure history of a rock slope. We reconstructed failure time, rolling precipitation windows, antecedent forcing, and precursor evidence for a purposively selected set of 12 natural rock-slope failures with resolvable event timing and meteorological evidence. Six events provided quantitative event-window rainfall: five had P24 = 0 mm and Pengshui had P24 = 0.9 mm. A sensitivity check across 12-, 24-, 48-, and 72-h windows showed that earlier rainfall re-entered the longer windows for some events, confirming that P24 is a standardized immediate descriptor rather than a trigger threshold. Within the six quantitative cases, antecedent histories ranged from multi-week dryness to earlier extreme rainfall, reservoir-level cycling, and short-lag rainfall, while documented precursor evidence ranged from multi-week deformation to minute-scale block shedding. Six additional boundary cases separated physical-process boundaries from evidence-definition boundaries. Because the search and retention criteria intentionally favored events with resolvable timing and meteorology, the set is not representative and is not used to estimate prevalence. The event-level comparison instead shows that a weak or absent final rainfall signal can coexist with contrasting pre-failure histories and monitoring evidence.

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Publication Details

Journal
Frontiers in Earth Science
Published
2026-10-26
DOI
https://doi.org/10.3389/feart.2026.1980922
Primary Topic
Landslides and related hazards
Type
article
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article

Contrasting slope histories under similar final-window rainfall in rock-slope failures: implications for monitoring

胡福根, Runcheng Jiao, Jianfeng Han, YIN Hang et al.
Frontiers in Earth Science
Landslides and related hazards
article

Contrasting slope histories under similar final-window rainfall in rock-slope failures: implications for monitoring

胡福根, Runcheng Jiao, Jianfeng Han, YIN Hang, Yilong ZHENG, Meng-Lun Li, Yanchao Liu, Zhaolin Yu
article en

Abstract

Rainfall is central to slope-hazard assessment and early warning, yet the meteorological state at release may not represent the pre-failure history of a rock slope. We reconstructed failure time, rolling precipitation windows, antecedent forcing, and precursor evidence for a purposively selected set of 12 natural rock-slope failures with resolvable event timing and meteorological evidence. Six events provided quantitative event-window rainfall: five had P24 = 0 mm and Pengshui had P24 = 0.9 mm. A sensitivity check across 12-, 24-, 48-, and 72-h windows showed that earlier rainfall re-entered the longer windows for some events, confirming that P24 is a standardized immediate descriptor rather than a trigger threshold. Within the six quantitative cases, antecedent histories ranged from multi-week dryness to earlier extreme rainfall, reservoir-level cycling, and short-lag rainfall, while documented precursor evidence ranged from multi-week deformation to minute-scale block shedding. Six additional boundary cases separated physical-process boundaries from evidence-definition boundaries. Because the search and retention criteria intentionally favored events with resolvable timing and meteorology, the set is not representative and is not used to estimate prevalence. The event-level comparison instead shows that a weak or absent final rainfall signal can coexist with contrasting pre-failure histories and monitoring evidence.

Frontiers in Earth ScienceVol. 14
Ministry of Natural Resources (CN), China Geological Survey (CN), China University of Geosciences (CN), China University of Geosciences (Beijing) (CN), Beijing Municipal Commission of Urban Planning (CN), Beijing Municipal Government (CN), Ministry of Natural Resources (RW), State Key Laboratory of Geological Processes and Mineral Resources (CN)
Openalex Percentile: Top 9%
Landslides and related hazards
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