Figure - available from: Natural Hazards and Earth System Sciences
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Illustration of the detection method adopted for temporal clustering identification . The top curve represents the rainfall time series and the peaks on the second line the selected heavy rainfall events after high-frequency declustering. r is the minimum number of days between two peaks. u is the threshold for heavy rainfall. w represents the time window (in days, red shading) before the occurrence of a landslide (red cross). We count n the number of events in the window w.
Source publication
Landslides are complex phenomena that cause important impacts in vulnerable areas, including the destruction of infrastructure, environmental damage, and loss of life. The occurrence of landslide events is often triggered by rainfall episodes, single and intense ones or multiple ones occurring in sequence, i.e., clustered in time. Landslide predict...
Citations
... As a result of climate change consequences, not only are the frequency and magnitude of similar or dissimilar types of hydrological extremes (e.g., floods and droughts) increasing in some regions, but the transitions between these events are also becoming more frequent and abrupt, accelerating economic and societal impacts (Chen and Wang, 2022;Bai et al., 2023;Xi et al., 2023;Banfi et al., 2024;Bowers et al., 2024). Based on observations spanning more than seven decades , Sudha et al. developed a statistical framework to define meteorological extremes-wet (i.e., abundance of water) and dry (i.e., lack of water) events-and investigated the transitions between them using a case study of the Meuse River basin in the Netherlands. ...
