Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation

Liu, Wei; Yang, Zongji; He, Siming

doi:10.1007/s10346-020-01478-4

Cited by 52 publications

(31 citation statements)

References 66 publications

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“…The evaluation of RR-recovery depends on the original conditions of a stand too. For example, Liu et al [10] state that recovery in forest gaps is faster than in closed forest, whereby the term of comparison is completely different. For instance, in forest opening root reinforcement is dominated by small roots that regrow faster after disturbances due to grass regrowth and tree regeneration.…”

Section: Root Reinforcement Dynamicsmentioning

confidence: 99%

“…Post-event time windows of increased shallow landslide disposition may range from a few years [3,6] to several decades [5,7] depending on the disturbance severity, tree species concerned, and site characteristics. While the recovery of vegetation cover in the short term has in general an important effect in reducing the runoff in the contribution area of a potential landslide and in the related effect on building of pore water pressure [8], in the long term, root reinforcement becomes the dominant factor for slope stability in areas of potential shallow landslides [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Gehring et al [14] found that the gap in protection against shallow landslides due to the loss of root reinforcement in beech (Fagus sylvatica) stands following wildfires may extend over 35 years in case of medium to high severity fires. Liu et al [10] showed that the recovery of root reinforcement in the first four post-disturbance years in closed forest stands at high altitudes (i.e., 1800 m a.s.l.) was slow or almost absent, suggesting that spruce stands at this altitude need particular attention for the study of root reinforcement dynamics in the long term.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Temporal Dynamics of Root Reinforcement in European Spruce Forests

Flepp

Robyr

Scotti

et al. 2021

Forests

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The quantification of post-disturbance root reinforcement (RR) recovery dynamics is of paramount importance for the optimisation of forest ecosystem services and natural hazards risk management in mountain regions. In this work we analyse the long-term root reinforcement dynamic of spruce forests combining data of the Swiss National Forest Inventory with data on root distribution and root mechanical properties. The results show that root reinforcement recovery depends primarily on stand altitude and slope inclination. The maximum root reinforcement recovery rate is reached at circa 100 years. RR increases continuously with different rates for stand ages over 200 years. These results shows that RR in spruce stands varies considerably depending on the local conditions and that its recovery after disturbances requires decades. The new method applied in this study allowed for the first time to quantify the long term dynamics of RR in spruce stands supporting new quantitative approaches for the analysis of shallow landslides disposition in different disturbance regimes of forests.

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Section: Root Reinforcement Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Temporal Dynamics of Root Reinforcement in European Spruce Forests

Flepp

Robyr

Scotti

et al. 2021

Forests

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“…As for the damage distribution, hazards on hanging walls are denser in distribution, wider in scope, and larger in scale, comparing to footwall [12,23,24]. Large-scale landslides on fault-hanging walls generate a large number of loose deposits in the gully or valley, which provide ample sources of loose material for later debris flows under rainstorm scenarios [7,12,25]. When heavy rain falls on mountain torrents with complex geological conditions (such as steep terrain, large slopes, many loose materials, and soft lithology) [7,12], and the critical disaster-causing rainfall threshold is reached, debris flows are easily triggered [12,13,25,26].…”

Section: Introductionmentioning

confidence: 99%

“…Large-scale landslides on fault-hanging walls generate a large number of loose deposits in the gully or valley, which provide ample sources of loose material for later debris flows under rainstorm scenarios [7,12,25]. When heavy rain falls on mountain torrents with complex geological conditions (such as steep terrain, large slopes, many loose materials, and soft lithology) [7,12], and the critical disaster-causing rainfall threshold is reached, debris flows are easily triggered [12,13,25,26]. The long-term potential threat of landslides and debris flows in earthquake-stricken areas has a very obvious time lag effect [3,[27][28][29], and may be as long as 30 years in Wenchuan [26,30].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Population Loss Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China

Han

Yin

Yu-ming

et al. 2021

IJGI

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Earthquakes often cause secondary disasters in mountainous areas, forming the typical earthquake-landslide-debris flow disaster chain for a long time that results in a series of losses. It is important to improve the risk assessment method from the perspective of cascading effect of such a disaster chain, by strengthening quantitative research on hazards of the debris flows which are affected by landslide volume and rainstorm intensity. Taking Wenchuan County as an example, the risk assessment method for population loss of the disaster chain is established and the risks are evaluated in this paper. The results show that the population loss risk is 2.59–2.71 people/km2 under the scenarios of the Wenchuan Ms8.0 earthquake and four rainstorm intensities. The impacts of landslide and debris flow after the earthquake were long-term and profound. A comparison of risks caused by each element of the chain revealed that the risk associated with the earthquake accounted for the highest proportion, and landslide and debris flow accounted for 38.82–37.18% and 3.42–7.50%, respectively. As the earthquake intensity increases, the total risk posed by the disaster chain increases significantly. The risk caused by the earthquake is the highest in high earthquake intensity zones; while in the lower-intensity zones, landslides and debris flows pose relatively high risks. The risk assessment results were verified through comparison with actual data, indicating that the simulation results are quite consistent with the existing disaster information and that the risk assessment method based on the earthquake-landslide-debris flow cascade process is significant for future risk estimation.

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Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region

Saha

Hembram³

et al. 2022

Stoch Environ Res Risk Assess

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Modeling the landslide-generated debris flow from formation to propagation and run-out by considering the effect of vegetation

Cited by 52 publications

References 66 publications

Temporal Dynamics of Root Reinforcement in European Spruce Forests

Temporal Dynamics of Root Reinforcement in European Spruce Forests

Risk Assessment of Population Loss Posed by Earthquake-Landslide-Debris Flow Disaster Chain: A Case Study in Wenchuan, China

Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region

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