Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-295
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
28 Aug 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Application of FLaIR model for early warning system in Chibo Pashyor, Kalimpong, India for rainfall-induced landslides
Abhirup Dikshit and Neelima Satyam Geotechnical Lab, International Institute of Information Technology, Hyderabad, 500032, India
Abstract. The development of an early warning system for landslides due to rainfall has become an indispensable part for landslide risk mitigation. This paper explains the application of the hydrological FLaIR (Forecasting of Landslides Induced by Rainfall) model, correlating rainfall amount and landslide events. The FLaIR model comprises of two modules: RL (Rainfall-Landslide) which correlates rainfall and landslide occurrence and RF (Rainfall-Forecasting) which allows simulation of future rainfall events. The model can predetermine landslides based on identification of mobility function Y(.) which links actual rainfall and incidence of landslide occurrence. The critical value of mobility function was analyzed using 1st July 2015 event and applying it to 2016 monsoon to validate the results. These rainfall thresholds presented can be improved with intense hourly rainfall and landslide inventory data. This paper describes the details of the model and its performance for the study area.

Citation: Dikshit, A. and Satyam, N.: Application of FLaIR model for early warning system in Chibo Pashyor, Kalimpong, India for rainfall-induced landslides, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-295, in review, 2017.
Abhirup Dikshit and Neelima Satyam
Abhirup Dikshit and Neelima Satyam
Abhirup Dikshit and Neelima Satyam

Viewed

Total article views: 264 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
205 54 5 264 0 0

Views and downloads (calculated since 28 Aug 2017)

Cumulative views and downloads (calculated since 28 Aug 2017)

Viewed (geographical distribution)

Total article views: 264 (including HTML, PDF, and XML)

Thereof 253 with geography defined and 11 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 23 Sep 2017
Publications Copernicus
Download
Short summary
42 % of India's landmass prone to landslides falls in North East Himalaya. One such majorly affected area is Chibo Pashyor located in Darjeeling Himalayas in the state of West Bengal, India. Early warning systems due to rainfall induced landslides has not yet been attempted in this region. This paper is an attempt towards the use of hydrological model which would be an initial step towards setting up of early warning system with an objective to protect human lives from rain-induced landslides.
42 % of India's landmass prone to landslides falls in North East Himalaya. One such majorly...
Share