ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis

Luna, B. Quan; Blahůt, Jan; Asch, Theo van; Westen, C.J. van; Kappes, Mélanie

doi:10.1186/s40677-016-0064-7

Cited by 16 publications

(11 citation statements)

References 32 publications

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“…Empirical runout models such as Flow-R combine flow patterns and failure probability to create runout susceptibility maps (Horton et al, 2013) and are useful at a regional scale. Runout models such Flow-2D, RAMMS, MassMove2D (Beguería et al, 2009), Debris Mobility Model (Kwan & Sun, 2006), and AschFlow (Luna et al, 2016) have seen much use in debris-flow hazard and risk assessment (e.g., M. Chang et al, 2017), but they require input on discharge, sediment concentration, initiation volumes, and entrainment. In any case, such models can offer insights into the relationships between inputs (e.g., rainfall) and consequence (e.g., runout;van Asch et al, 2014).…”

Section: Hazard Assessmentmentioning

confidence: 99%

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

603

325

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Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate‐ and large‐magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake‐induced landslides and their consequences: the magnitude M 7.6 Chi‐Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth's surface.

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Section: Hazard Assessmentmentioning

confidence: 99%

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Fan

Scaringi

Korup

et al. 2019

Reviews of Geophysics

603

325

View full text Add to dashboard Cite

show abstract

“…Consequently, although widely applied on the slope scale, the dynamic approach has been scarcely applied at the medium scale. Regarding the latter, it stands out in the work developed by Revellino et al (2004) and Hürlimann et al (2006) that applied one-dimensional numerical models. More recently, Quan Luna et al (2016) have implemented the "AschFlow", a two-dimensional one-phase continuum model that simulates the debris flow erosion and deposition processes.…”

Section: Introductionmentioning

confidence: 99%

Debris flow run-out simulation and analysis using a dynamic model

Melo

Asch

Zêzere

2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Only two months after a huge forest fire occurred in the upper part of a valley located in central Portugal, several debris flows were triggered by intense rainfall. The event caused infrastructural and economic damage, although no lives were lost. The present research aims to simulate the run-out of two debris flows that occurred during the event as well as to calculate via back-analysis the rheological parameters and the excess rain involved. Thus, a dynamic model was used, which integrates surface runoff, concentrated erosion along the channels, propagation and deposition of flow material. Afterwards, the model was validated using 32 debris flows triggered during the same event that were not considered for calibration. The rheological and entrainment parameters obtained for the most accurate simulation were then used to perform three scenarios of debris flow run-out on the basin scale. The results were confronted with the existing buildings exposed in the study area and the worst-case scenario showed a potential inundation that may affect 345 buildings. In addition, six streams where debris flow occurred in the past and caused material damage and loss of lives were identified.

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“…Debris flows are one of the most catastrophic hazards in mountainous areas (e.g. Zhang et al, 2013;Raia et al, 2014), and can pose high risks to society (e.g. Tang et al, 2011;Gao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Anonymous

2017

Preprint

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Climate change is resulting in more frequent rainstorms and more rain-induced debris flows in mountainous areas. The prediction of likely hazard zones is important for debris flow risk assessment and management. Existing numerical methods for debris flow analysis often require the input of hydrographs at prescribed initiation locations, ignoring the initiation process and leading to large uncertainties in debris flow initiation locations, times, and volumes when applied to regional debris flow analysis. The evolution of the flowing mixture in time and space is also barely addressed. This paper presents a new integrated numerical model, EDDA 2.0, to simulate the whole process of debris flow initiation, motion, entrainment, deposition, and property changes. Two physical initiation mechanisms are modelled: transformation from slope failures and surface erosion. Three numerical tests and field application to a catastrophic debris flow event are conducted to verify the model components and evaluate the model performance. The results indicate that the integrated model is capable of simulating the initiation and subsequent flowing process of rain-induced debris flows, as well as the physical evolution of the flowing mixture. The integrated model provides a powerful tool for analysing multi-hazard processes, hazard interactions, and regional debris flow risk assessment in the future.

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ASCHFLOW - A dynamic landslide run-out model for medium scale hazard analysis

Cited by 16 publications

References 32 publications

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts

Debris flow run-out simulation and analysis using a dynamic model

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