Modelling of rainfall-induced landslide: a threshold-based approach
Author:
Funder
Delhi Technological University
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10024-6.pdf
Reference65 articles.
1. Abraham MT, Satyam N, Pradhan B, Alamri AM (2020a) Forecasting of landslides using rainfall severity and soil wetness: a probabilistic approach for Darjeeling Himalayas. Water (switzerland) 12:1–19. https://doi.org/10.3390/w12030804
2. Abraham MT, Satyam N, Reddy SKP, Pradhan B (2021) Runout modeling and calibration of friction parameters of Kurichermala debris flow, India. Landslides 18:737–754. https://doi.org/10.1007/s10346-020-01540-1
3. Abraham MT, Satyam N, Pradhan B et al (2022) Developing a prototype landslide early warning system for Darjeeling Himalayas using SIGMA model and field based monitoring. Geosci J 26:289–301. https://doi.org/10.1007/s12303-021-0026-2
4. Abraham MT, Satyam N, Pradhan B, Alamri AM (2020b) Iot-based geotechnical monitoring of unstable slopes for landslide early warning in the Darjeeling Himalayas. Sensors (Switzerland) 20. https://doi.org/10.3390/s20092611
5. Abraham MT, Satyam N, Rosi A, et al (2020c) The Selection of rain gauges and rainfall parameters in estimating intensity-duration thresholds for landslide occurrence: case study from Wayanad (India). Water (Switzerland) 12. https://doi.org/10.3390/W12041000
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