Catastrophic Debris-Flow Deposits from an Inferred Landslide-Dam Failure, Eocene Berga Formation, Eastern Pyrenees, Spain

2009 ◽  
pp. 195-209 ◽  
Author(s):  
E. Saula ◽  
E. Emili Mato ◽  
C. Puigdefabregas
Keyword(s):  
Debris Flow ◽  
Landslide Dam ◽  
Dam Failure ◽  
Eastern Pyrenees

Seismic signal characteristics and interpretation of the 2020 “6.17” Danba landslide dam failure hazard chain process

Landslides ◽  
2021 ◽  
Author(s):  
Yan Yan ◽  
Yifei Cui ◽  
Dingzhu Liu ◽  
Hui Tang ◽  
Yongjian Li ◽  
...  
Keyword(s):  
Landslide Dam ◽  
Seismic Signal ◽  
Dam Failure ◽  
Chain Process ◽  
Signal Characteristics

AN INTEGRATED APPROACH TO PREDICT OUTFLOW HYDROGRAPH DUE TO LANDSLIDE DAM FAILURE BY OVERTOPPING AND SLIDING

2008 ◽  
Vol 52 ◽  
pp. 151-156 ◽  
Author(s):  
Ripendra AWAL ◽  
Hajime NAKAGAWA ◽  
Kenji KAWAIKE ◽  
Yasuyuki BABA ◽  
Hao ZHANG
Keyword(s):  
Landslide Dam ◽  
Integrated Approach ◽  
Dam Failure ◽  
Outflow Hydrograph

Landslide Dam Failure Analysis Using Imaging and Ranging Sensors

2021 ◽  
pp. 3-17
Author(s):  
Keivan Tavakoli ◽  
Ehsan Zadehali ◽  
Arsalan Malekian ◽  
Sara Darsi ◽  
Laura Longoni ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Landslide Dam ◽  
Dam Failure

scholarly journals Dimensionless Assessment Method of Landslide Dam Formation Caused by Tributary Debris Flow Events

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Kun-Ting Chen ◽  
Xiao-Qing Chen ◽  
Gui-Sheng Hu ◽  
Yu-Shu Kuo ◽  
Yan-Rong Huang ◽  
...  
Keyword(s):  
Debris Flow ◽  
Water Depth ◽  
Debris Flows ◽  
Landslide Dam ◽  
Assessment Method ◽  
Main Stream ◽  
Deposition Thickness ◽  
The Relationship ◽  
Prepared Response

In this study, we develop a dimensionless assessment method to evaluate landslide dam formation by considering the relationship between the run-out distance of a tributary debris flow and the width of the main stream, deposition thickness of the tributary debris flow, and the water depth of the main stream. Based on the theory of debris flow run-out distance and fan formation, landslide dam formation may result from a tributary debris flow as a result of two concurrent formation processes: (1) the run-out distance of the tributary debris flow must be greater than the width of the main stream, and (2) the minimum deposition thickness of the tributary debris flow must be higher than the in situ water depth of the main stream. At the confluence, one of four types of depositional scenarios may result: (1) the tributary debris flow enters into the main stream and forms a landslide dam; (2) the tributary debris flow enters into the main stream but overflow occurs, thus preventing complete blockage of the main stream; (3) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment remains partially above the water elevation of the main stream; or (4) the tributary debris flow enters into the main stream, does not reach the far bank, and sediment is fully submerged in the main stream. This method was applied to the analysis of 11 tributary debris flow events during Typhoon Morakot, and the results indicate that the dimensionless assessment method can be used to estimate potential areas of landslide dam formation caused by tributary debris flows. Based on this method, government authorities can determine potential areas of landslide dam formation caused by debris flows and mitigate possible disasters accordingly through a properly prepared response plan, especially for early identification.

scholarly journals Debris-flow forecasting at regional scale by combining susceptibility mapping and radar rainfall

2015 ◽  
Vol 15 (3) ◽  
pp. 587-602 ◽  
Author(s):  
M. Berenguer ◽  
D. Sempere-Torres ◽  
M. Hürlimann
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Regional Scale ◽  
Early Warning Systems ◽  
Warning Systems ◽  
Susceptibility Assessment ◽  
Radar Rainfall ◽  
Eastern Pyrenees ◽  
Rainfall Map ◽  
Rainfall Estimates

Abstract. This work presents a technique for debris-flow (DF) forecasting able to be used in the framework of DF early warning systems at regional scale. The developed system is applied at subbasin scale and is based on the concepts of fuzzy logic to combine two ingredients: (i) DF subbasin susceptibility assessment based on geomorphological variables and (ii) the magnitude of the rainfall situation as depicted from radar rainfall estimates. The output of the developed technique is a three-class warning ("low", "moderate" or "high") in each subbasin when a new radar rainfall map is available. The developed technique has been applied in a domain in the eastern Pyrenees (Spain) from May to October 2010. The warning level stayed "low" during the entire period in 20% of the subbasins, while in the most susceptible subbasins the warning level was at least "moderate" for up to 10 days. Quantitative evaluation of the warning level was possible in a subbasin where debris flows were monitored during the analysis period. The technique was able to identify the three events observed in the catchment (one debris flow and two hyperconcentrated flow events) and produced no false alarm.

scholarly journals Dynamic decision making for dam-break emergency management – Part 2: Application to Tangjiashan landslide dam failure

2013 ◽  
Vol 13 (2) ◽  
pp. 439-454 ◽  
Author(s):  
M. Peng ◽  
L. M. Zhang
Keyword(s):  
Decision Making ◽  
At Risk ◽  
Emergency Management ◽  
Landslide Dam ◽  
Dam Break ◽  
Flood Routing ◽  
Dynamic Decision Making ◽  
Dam Failure ◽  
Population At Risk ◽  
Three Stages

Abstract. Tangjiashan landslide dam, which was triggered by the Ms = 8.0 Wenchuan earthquake in 2008 in China, threatened 1.2 million people downstream of the dam. All people in Beichuan Town 3.5 km downstream of the dam and 197 thousand people in Mianyang City 85 km downstream of the dam were evacuated 10 days before the breaching of the dam. Making such an important decision under uncertainty was difficult. This paper applied a dynamic decision-making framework for dam-break emergency management (DYDEM) to help rational decision in the emergency management of the Tangjiashan landslide dam. Three stages are identified with different levels of hydrological, geological and social-economic information along the timeline of the landslide dam failure event. The probability of dam failure is taken as a time series. The dam breaching parameters are predicted with a set of empirical models in stage 1 when no soil property information is known, and a physical model in stages 2 and 3 when knowledge of soil properties has been obtained. The flood routing downstream of the dam in these three stages is analyzed to evaluate the population at risk (PAR). The flood consequences, including evacuation costs, flood damage and monetized loss of life, are evaluated as functions of warning time using a human risk analysis model based on Bayesian networks. Finally, dynamic decision analysis is conducted to find the optimal time to evacuate the population at risk with minimum total loss in each of these three stages.

Landslide dam failure and flood hydraulics. Part II: coupled mathematical modelling

2011 ◽  
Vol 59 (2) ◽  
pp. 1021-1045 ◽  
Author(s):  
Zhixian Cao ◽  
Zhiyuan Yue ◽  
Gareth Pender
Keyword(s):  
Mathematical Modelling ◽  
Landslide Dam ◽  
Dam Failure
Sign in / Sign up

Export Citation Format

Share Document