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Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach
- Source :
- Water, Vol 11, Iss 10, p 2113 (2019), Water, Volume 11, Issue 10
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Idukki is a South Indian district in the state of Kerala, which is highly susceptible to landslides. This hilly area which is a hub of a wide variety of flora and fauna, has been suffering from slope stability issues due to heavy rainfall. A well-established landslide early warning system for the region is the need of the hour, considering the recent landslide disasters in 2018 and 2019. This study is an attempt to define a regional scale rainfall threshold for landslide occurrence in Idukki district, as the first step of establishing a landslide early warning system. Using the rainfall and landslide database from 2010 to 2018, an intensity-duration threshold was derived as I = 0.9D−0.16 for the Idukki district. The effect of antecedent rainfall conditions in triggering landslide events was explored in detail using cumulative rainfalls of 3 days, 10 days, 20 days, 30 days, and 40 days prior to failure. As the number of days prior to landslide increases, the distribution of landslide events shifts towards antecedent rainfall conditions. The biasness increased from 72.12% to 99.56% when the number of days was increased from 3 to 40. The derived equations can be used along with a rainfall forecasting system for landslide early warning in the study region.
- Subjects :
- landslides
Hydrology
lcsh:TD201-500
021110 strategic, defence & security studies
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences
Warning system
idukki
Geography, Planning and Development
0211 other engineering and technologies
Landslide
02 engineering and technology
Aquatic Science
01 natural sciences
Biochemistry
rainfall thresholds
lcsh:Water supply for domestic and industrial purposes
lcsh:TC1-978
Slope stability
Environmental science
Early warning system
early warning system
0105 earth and related environmental sciences
Water Science and Technology
Subjects
Details
- ISSN :
- 20734441
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Water
- Accession number :
- edsair.doi.dedup.....07940c60340f46daec36d00ac6db5562