TY - GEN
T1 - Determination of thresholds at the Aggenalm landslide (Bayrischzell, Germany) by time series analysis and numerical modeling
AU - Festl, J.
AU - Thuro, K.
N1 - Publisher Copyright:
© 2016 Associazione Geotecnica Italiana, Rome, Italy.
PY - 2016
Y1 - 2016
N2 - Within the framework of the alpEWAS project the Aggenalm landslide has been instrumented with a monitoring system, which monitors the slope's deformation as well as potential trigger factors, such as precipitation. All data collected within the project have been evaluated and interpreted holistically in terms of integration into an early warning system and the thereby accompanying definition of thresholds. Since it became clear that rainfall has a major influence on the slope's movements, the temporal offset between rainfall, pore water pressure, and increase in deformation has been analyzed by time series analysis. This made it possible to quantify the needed advance time for early warning between triggering event and movement of the slope. To analyze the slope's reaction to rainfall events beyond the ones observed so far, a numerical model was generated to simulate extreme events, thus allowing a better definition of threshold values for early warning.
AB - Within the framework of the alpEWAS project the Aggenalm landslide has been instrumented with a monitoring system, which monitors the slope's deformation as well as potential trigger factors, such as precipitation. All data collected within the project have been evaluated and interpreted holistically in terms of integration into an early warning system and the thereby accompanying definition of thresholds. Since it became clear that rainfall has a major influence on the slope's movements, the temporal offset between rainfall, pore water pressure, and increase in deformation has been analyzed by time series analysis. This made it possible to quantify the needed advance time for early warning between triggering event and movement of the slope. To analyze the slope's reaction to rainfall events beyond the ones observed so far, a numerical model was generated to simulate extreme events, thus allowing a better definition of threshold values for early warning.
UR - http://www.scopus.com/inward/record.url?scp=84984830664&partnerID=8YFLogxK
U2 - 10.1201/b21520-107
DO - 10.1201/b21520-107
M3 - Conference contribution
AN - SCOPUS:84984830664
SN - 9781138029880
SN - 9781138029880
SN - 9781138029880
T3 - Landslides and Engineered Slopes. Experience, Theory and Practice
SP - 909
EP - 916
BT - Landslides and Engineered Slopes. Experience, Theory and Practice
A2 - Aversa, Stefano
A2 - Cascini, Leonardo
A2 - Picarelli, Luciano
A2 - Scavia, Claudio
PB - Taylor and Francis Inc.
T2 - 12th International Symposium on Landslides, 2016
Y2 - 12 June 2016 through 19 June 2016
ER -