Probabilistic rainfall thresholds for shallow landslides initiation – A case study from The Nilgiris district, Western Ghats, India
DOI:
https://doi.org/10.18485/ijdrm.2020.2.1.1Keywords:
Landslide, rainfall, threshold, probability, western ghats, the nilgirisAbstract
Rainfall is one of the major causes of landslides/landslips across the globe. The fatalities and damage caused by rainfall induced landslides increased in recent days. The Nilgiris district in Western Ghats part of Tamil Nadu state is one of the very high to severe landslide hazard-prone areas of India. The present study is focused on estimation of rainfall thresholds and the temporal probability of landslides in different landslide-prone slopes in part of The Nilgiris district. The landslide prone areas identified in earlier research are used for the present study. The landslide locations data for the years 1824 to 2018 were collected and a spatial database on landslide inventory was created. A detailed inventory carried out on the 2009 landslides were analysed and used for the calculation of rainfall thresholds. Monthly and Yearly Rainfall data for the years 2000 to 2011 were collected for 37 rainguage stations from various government agencies. Based on the quality and quantity of data, the rainfall thresholds for 14 different locations were estimated viz., Aderly, Coonoor, Coonoor Railway, Governor Sola, Ooty (Near Botanical Garden), Runnymedu, Burliar where the probability of landslide occurrences is high. The temporal probability of landslide was calculated for four years viz., 1, 3, 5 and 10 years. The present study can be used as a key to develop an early warning system in The Nilgiris District.
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References
Afungang RN, Bateira CV., 2016, Temporal probability analysis of landslides triggered by intense rainfall in the Bamenda Mountain Region, Cameroon. Environmental Earth Science 75:1032-1043
Aleotti P., 2004, A warning system for rainfall-induced shallow failures. – Engineering Geology 73:247-265
Apip TK, Yamashiki Y, Sassa K, Ibrahim AB, Fukuoka H., 2010, A distributed hydrological–geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale. Landslides 7:237-258
Baum RL, Godt JW, Savage WZ., 2010, Estimating the timing and location of shallow rainfall-induced landslides using a model for transient unsaturated infiltration. J Geophys Res 115:F03013. https://doi.org/10.1029/2009JF001321
Bhandari RK., 2006, The Indian Landslide Scenario, Strategic Issues and Action Points, (A Key Note address – Technical Session on Landslides) First India Disaster Management Congress, New Delhi, pp 29-30
BMTPC., 2003, Landslide Hazard Zonation Atlas of India, Published by Building Materials and technology Promotion Council, Government of India and Anna University, Chennai, p 125
Brand EW, Premchitt J. Phillipson HB., 1984, Relationship between rainfall and landslides in Hong Kong. – In: Proc. 4th Internat Symp on Landslides. Canadian Geotechnical Society, Toronto, Canada, pp 377–384
Caine N., 1980, The rainfall intensity–duration control of shallow landslides and debris flows. – Geogr. Ann. Series A 62:23-27
CGWB., 2008, District Groundwater Brochure Nilgiri District , TAMIL NADU, Technical Report Series, Government of India published by Ministry of Water Resources, Central Ground Water Board, South Eastern Coastal Region, Chennai. p 21
Chandrasekaran SS, Sayed OR, Ashwin S et al., 2013, Investigation on infrastructural damages by rainfall-induced landslides during November 2009 in Nilgiris, India. Natural Hazards 65:1535-1557. https://doi.org/10.1007/s11069-012-0432-x
Chleborad AF., 2003, Preliminary evaluation of a precipitation threshold for anticipating the occurrence of landslides in the Seattle, Washington Area. USGS Open-file report 03–463, U.S. Geological Survey, Reston, p17
Chleborad AF, Baum RL, Godt JW., 2006, Rainfall thresholds for forecasting landslides in the Seattle, Washington, area-Exceedance and probability: U.S. Geological Survey Open-File Report 2006-1064
Coe JA, Michael JA, Crovelli RA, Savage WZ., 2000, Preliminary map showing landslide densities, mean recurrence intervals, and exceedance probabilities as determined from historic records, Seattle, Washington: U.S. Geological Survey Open-File Report 00-xxx, in review
Crozier MJ.,1999, Prediction of rainfall-triggered landslides: a test of the antecedent water status model. – Earth Surface Proceedings and Landforms 24: 825–833
Dahal RK, Hasegawa S., 2008, Representative rainfall thresholds for landslides in the Nepal Himalaya, Geomorphology, 100(3-4):429-443. https://doi.org/10.1016/j.geomorph.2008.01.014
Dikshit A, Satyam DN., 2018, Estimation of rainfall thresholds for landslide occurrences in Kalimpong, India. Innovative Infrastructure Solutions, 3: 24. https://doi.org/10.1007/s41062-018-0132-9
Dikshit A, Satyam N., 2019, Probabilistic rainfall thresholds in Chibo, India: estimation and validation using monitoring system. J Mountain Science, 16: 870-883
Earth Explorer Aster Global DEM., 2011, ASTER GDEM is a product of METI and NASA. http://earthexplorer.usgs.gov/ Accessed 02 May 2015
Ganapathy GP, Rajawat AS., 2015, Use of hazard and vulnerability maps for landslide planning scenarios: a case study of the Nilgiris, India, Springer - Natural Hazards, Journal of the International Society for the Prevention and Mitigation of Vol. 77, No.1, Natural Hazards 77: 305-316. https://doi.org/10.1007/s11069-015-1587-z
Ganapathy GP, Hada CL., 2012, Landslide Hazard Mitigation in the Nilgiris District, India – Environmental and Societal Issues, International Journal of Environmental Science and Development, 3: 5
Gariano SL, Sarkar R, Dikshit A, Dorji K, Brunetti MT, Peruccacci S, Melillo M ., 2019, Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan. Bulletin of Engineering Geology and the Environment, 78:4325–4332
Giannecchini R, Galanti Y, and D’Amato Avanzi G., 2012, Critical rainfall thresholds for triggering shallow landslides in the Serchio River Valley (Tuscany, Italy), Nat Hazards Earth Syst Sci, 12:829–842
Glade T, Crozier M, Smith P., 2000, Applying probability determination to refine landslide-triggering rainfall thresholds using an empirical Antecedent Daily Rainfall Model. – Pure and Appl Geophysics 157:1059-1079
GSI., 2000, District Resource Map Series: Nilgiri District Tamil Nadu, published by Geological Survey of India-explanatory Note.
Guzzetti F, Reichenbach P, Cardinali M et al., 2005, Probabilistic landslide hazard assessment at the basin scale. Geophys J Roy Astron Soc 72:272-299
Guzzetti F, Peruccacci S, Rossi M, Stark CP., 2007, Rainfall thresholds for the initiation of landslides in central and southern Europe Meteorol Atmos Phys 98:239-267
Guzzetti F, Peruccacci S, Rossi M, Stark CP., 2008, The rainfall intensity-duration control of shallow landslides and debris flows: an update. Landslides 5:3-17
Hershfield DM., 1961, Rainfall frequency atlas of the United States for durations from 30 minutes to 24 hours and return periods from 1 to 100 years. – Technical Paper No. 40, Washington, D. C.: National Weather Bureau, pp 15
Jaiswal P, Van Westen CJ., 2009, Probabilistic landslide initiation hazard assessment along a transportation corridor in the Nilgiri area, India, Geophysical Research Abstracts, Vol. 11, EGU2009-2854, EGU General Assesmbly
Jaiswal P, van Westen CJ., 2009, Estimating temporal probability for landslide initiation along transportation routes based on rainfall thresholds. Geomorphology, 112:96-105
Keefer DK, Wilson RC, Mark RK, Brabb EE, Brown WM III, Ellen SD, Harp EL, Wieczoreck GF ACS, Zatkin RS., 1987, Real-time landslide warning during heavy rainfall. Science 238:921–926
Mathew J, Babu DG, Kundu S, Vinod Kumar K, Pant CC., 2014, Integrating intensity-duration-based rainfall threshold and antecedent rainfall-based probability estimate towards generating early warning for rainfall-induced landslides in parts of the Garhwal Himalaya, India. Landslides 11:575-588
Melillo M, Brunetti MT, Peruccacci S, Gariano SL, Roccati A, Guzzetti F., 2018, A tool for the automatic calculation of rainfall thresholds for landslide occurrence. Environmental Modeling and Software 105:230-243
Nilgiris., 2015) http://nilgiris.nic.in/disaster.htm
Papa MN, Medina V, Ciervo F, Bateman A., 2013, Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems, Hydrology and Earth System Science 17:4095-4107
Pasuto A, Silvano S., 1998, Rainfall as a trigger of shallow mass movements. A case study in the Dolomites, Italy. Environ Geol, 35(2-3):184–189
Rajarathnam S, Ganapathy GP., 2006, Landslide Hazard Zonation of India, a GIS Approach, Proceedings of the First India Disaster Management Congress, New Delhi, pp 29-30
Segoni S, Lagomarsino D, Fanti R, Moretti S, and Casagli N., 2014, Integration of rainfall thresholds and susceptibility maps in the Emilia Romagna (Italy) regional-scale landslide warning system, Landslides, 12:773-785. https://doi.org/10.1007/s10346-014-0502-0
Schmidt J, Turek G, Clark MP, Uddstrom M, Dymond JR., 2008, Probabilistic forecasting of shallow rainfall-triggered landslides using real-time numerical weather predictions. Nat Hazards Earth Syst Sci 8:349-357
Segoni S, Leoni L, Benedetti AI, Catani F, Righini G, Falorni G, Gabellani S, Rudari R, Silvestro F, Rebora N., 2009, Towards a definition of a real-time forecasting network for rainfall induced shallow landslides. Nat Hazard Earth Syst Sci. 9:2119-2133
Segoni S, Rossi G, Rosi A, Catani F., 2014, Landslides triggered by rainfall: a semi-automated procedure to define consistent intensity-duration thresholds. Computer Geoscience 63:123-131
Segoni S, Lagomarsino D, Fanti R, Moretti S, Casagli N., 2015, Integration of rainfall thresholds and susceptibility maps in the Emilia Romagna (Italy) regional-scale landslide warning system. Landslides 12:773-785
Segoni S, Piciullo L, Gariano SL., 2018, A review of the recent literature on rainfall thresholds for landslide occurrence. Landslides, 15:1483-1501
Segoni S, Rossi G, Rosi A, Catani F., 2014, Landslides triggered by rainfall: a semi-automated procedure to define consistent intensity-duration thresholds. Computers and Geosciences 63:123-131
Seshagiri DN, Badrinarayanan S, Upendran R et al., 1982, The Nilgiris landslide - Miscellaneous publication No. 57. Geological Survey of India
Squarzoni C, Delacourt C, Allemand P., 2003, Nine years of spatial and temporal evolution of the La Vallette landslide observed by SAR interferometry. J Engineering Geology 68:53-66
Thanavelu C, Chandrasekaran., 2008, Geotechnical Assessment of November 2006 landslides in the Nilgiris Tamil Nadu, Abstract Volume: Proceedings of the National Seminar on Challenges in Engineering Geology, 03rd to 05th December 2008, Hyderabad
The Hindu., 2009, Scale of damage in Nilgiris huge, relief work space, http://www.thehindu.com/2009/11/12/stories/2009111258110100.htm. Accessed 12 November 2009
Thennavan E, Ganapathy GP., 2020, Evaluation of landslide hazard and its impacts on hilly environment of the Nilgiris District - a geospatial approach. Geoenviron Disasters 7, 3. https://doi.org/10.1186/s40677-019-0139-3
Tien Bui D, Pradhan B, Lofman O, Revhaug I, Dick OB., 2013, Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam. Natural Hazards 66:707-730
Wilson RC, Wieczorek GF., 1995, Rainfall thresholds for the initiation of debris flow at La Honda, California. – Environm and Engin Geoscience 1(1):11–27.
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