Abstract

In recent years, landslides have become a typical monsoon calamity in the Western Ghats region of Kerala, India. In addition to property damage, heavy rainfall (36% above normal) and multiple landslides (4728) killed 48 people in 2018. This tendency continued throughout the monsoon seasons of 2019, 2020, and 2021, resulting in the deaths of over 100 people. Anomalous precipitation is ascribed to the frequent development of low-pressure in the surrounding oceans. Using ground real data and satellite imagery, we evaluated the features of three large landslides in the state of Kerala, which occurred during the monsoon season of 2021. Our investigation found that the Kokkayar landslide was triggered by anthropogenic-related agricultural activities, the Plappally landslide by geomorphic and tectonic processes as well as human involvement, and the Kavali landslide by forest fragmentation with dense vegetation on thin soil. The triggering mechanism for all three of these landslides, however, is the intense rainfall of 266 mm in less than 24 h. Thus, an accurate and precise forecast of rainfall can be used to define a threshold for an early warning, which will be vital for saving lives.

Details

Title
The tale of three landslides in the Western Ghats, India: lessons to be learnt
Author
Ajin, R. S. 1 ; Nandakumar, D. 2 ; Rajaneesh, A. 3 ; Oommen, T. 4 ; Ali, Yunus P. 5 ; Sajinkumar, K. S. 3 

 Kerala State Disaster Management Authority (KSDMA), State Emergency Operations Centre, Thiruvananthapuram, India 
 Sree Sankaracharya University of Sanskrit, Kalady, India (GRID:grid.444509.8) (ISNI:0000 0001 0310 7426) 
 University of Kerala, Department of Geology, Thiruvananthapuram, India (GRID:grid.413002.4) (ISNI:0000 0001 2179 5111) 
 Michigan Technological University, Department of Geological and Mining Engineering and Sciences, Houghton, USA (GRID:grid.259979.9) (ISNI:0000 0001 0663 5937) 
 Indian Institute of Science Education and Research, Mohali, India (GRID:grid.458435.b) (ISNI:0000 0004 0406 1521) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
e-ISSN
21978670
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2688768447
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.