Regional rainfall thresholds for landslide occurrence using a centenary database
This work proposes a comprehensive method to assess rainfall thresholds for landslide initiation using a centenary landslide database associated with a single centenary daily rainfall data set. The method is applied to the Lisbon region and includes the rainfall return period analysis that was us...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-04-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://www.nat-hazards-earth-syst-sci.net/18/1037/2018/nhess-18-1037-2018.pdf |
Summary: | This work proposes a comprehensive method to assess rainfall thresholds for
landslide initiation using a centenary landslide database associated with a
single centenary daily rainfall data set. The method is applied to the Lisbon
region and includes the rainfall return period analysis that was used to
identify the critical rainfall combination (cumulated rainfall duration) related to each landslide event. The spatial
representativeness of the reference rain gauge is evaluated and the rainfall
thresholds are assessed and calibrated using the receiver operating
characteristic (ROC) metrics.
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Results show that landslide events located up to 10 km from the rain gauge
can be used to calculate the rainfall thresholds in the study area; however,
these thresholds may be used with acceptable confidence up to 50 km
from the rain gauge. The rainfall thresholds obtained using linear and
potential regression perform well in ROC metrics. However, the
intermediate thresholds based on the probability of landslide events
established in the zone between the lower-limit threshold and the upper-limit threshold are much more informative as they indicate the probability
of landslide event occurrence given rainfall exceeding the threshold. This
information can be easily included in landslide early warning systems,
especially when combined with the probability of rainfall above each
threshold. |
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ISSN: | 1561-8633 1684-9981 |