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Landslide Analysis and Early Warning Systems - Local and Regional Case Study in the Swabian Alb, Germany (Hardcover, 2012 ed.)
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Landslide Analysis and Early Warning Systems - Local and Regional Case Study in the Swabian Alb, Germany (Hardcover, 2012 ed.)
Series: Springer Theses
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Recent landslide events demonstrate the need to improve landslide
forecasting and early warning capabilities in order to reduce
related risks and protect human lives. In this thesis, local and
regional investigations were carried out to analyse landslide
characteristics in the Swabian Alb region, and to develop
prototypic landslide early warning systems.
In the local study area, an extensive hydrological and slope
movement monitoring system was installed on a seasonally
reactivated landslide body located in Lichtenstein-
Unterhausen. Monitoring data was analysed to assess the influence
of rainfall and snow-melt on groundwater conditions, and the
initiation of slope movements.
The coupled hydrology-slope stability model CHASM was applied to
detect areas most prone to slope failures, and to simulate slope
stability using a variety of input data. Subsequently, CHASM was
refined and two web-based applications were developed: a technical
early warning system to constantly simulate slope stability
integrating rainfall measurements, hydrological monitoring data and
weather forecasts; and a decision-support system allowing for quick
calculation of stability for freely selectable slope profiles. On
the regional scale, available landslide inventory data were
analysed for their use in evaluation of rainfall thresholds
proposed in other studies. Adequate landslide events were selected
and their triggering rainfall and snow-melting conditions were
compared to intensity-duration and cumulative thresholds. Based on
the results, a regional landslide early warning system was
developed and implemented as a webbased application.
Both, the local and the regional landslide early warning systems
are part of a holistic and integrative early warning chain
developed by the ILEWS project, and could easily be transferred to
other landslide prone areas.
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