期刊
LANDSLIDES
卷 18, 期 2, 页码 737-754出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10346-020-01540-1
关键词
Debris flows; RAMMS; Runout modeling; Rheology; Image processing; Wayanad
资金
- Department of Space, India [ISRO/RES/4/663/18-19]
The study focused on the geotechnical investigation and back analysis of debris flows in Wayanad district, Kerala, India, caused by heavy rains during the monsoon seasons. The research provides important information for predicting the shape of possible debris flows and quantitative risk assessment in the future.
Debris flows account for a substantial economy and property loss in Western Ghats of Kerala, India, especially during monsoon seasons. Wayanad district is an active erosion zone in the plateau margins of Western Ghats, and there is a remarkable rise in the number of debris flows since 2018, due to very high-intensity rainfalls in this region. This study comprises geotechnical investigation, runout modeling, and calibration of friction parameters of Kurichermala debris flow, one of the devastating debris flow events that happened in Wayanad, during the 2018 monsoon. The detailed investigation and back analysis of such events are substantial in calibrating the flow parameters for the region. These parameters can be used for predicting the flow paths of possible debris flows and quantitative risk assessment in the future. The geotechnical investigation provided vital information regarding the soil type and shear strength parameters of the debris flow and has helped in understanding the flow behavior. A dynamic numerical model, rapid mass movements (RAMMS), was used for the back analysis of the debris flow, using the shape information of the flow. For precise calibration using statistical comparison, an image processing tool has been developed, to compare the structural similarity of simulated results with the original shape of debris flow. The dry-Coulomb friction coefficient (mu) was calibrated as 0.01 and turbulent friction coefficient (xi) as 100 m/s(2)for the event, using Voellmy-Salm rheology. The shape predicted by the model had a similarity index of 0.626 with the actual shape of debris flow. The results were found to be in accordance with the field and geotechnical observations. Hence, the results can be used to predict the shape of possible debris flows in the study area. The study is the first of its kind for the region and has significant influence in risk assessment for this highly susceptible landslide zone.
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