This research presents a regional scale case study modeling debris flow risk (hazard and vulnerability) in Sichuan Province, Southwestern China.
In the case of the Flow-R model, the debris flow source has a certain unit potential energy (the volume is defined as a unit and cannot be specified otherwise) regarding its adjacent cells downhill.
All works have been put into controlling debris flows in 14 tributaries of Jiuzhaigou, which have set up a model for debris flow prevention in national parks in China.
The framework combines a spatially distributed flash flood response model and a debris flow initiation model to define a threshold value for the peak flow which permits identification of channelized debris flow initiation.
Strîmbu (2011) presented a travel distance model for debris flows based on information collected in southeast British Columbia, Canada.
Then, we coupled the calculated results of the NAM model with an empirically based debris flow initiation model to obtain a new integrated cascading disaster modeling system to provide improved disaster preparedness and hazard management.
Examples of studies have been provided in recent years and it is worth mentioning the modelling of debris flows (Cascini et al., 2014, 2016) and debris avalanches (Cuomo et al., 2014, 2016).
Increasingly fine-tuned models for probable debris flow occurrence, expected volume, and runout area facilitate undertaking effective mitigation even for very large fires.
This detailed approach to studying landscape response to wildfires may be useful in the improvement of predictive models of flood, debris flow and sedimentation hazards used in post-wildfire response assessments and land management, and may help improve process-based models of landscape evolution.
The two models are coupled by the bottom boundary conditions of the turbidity current model that depends on the instantaneous velocity of the debris flow model.
