Articles | Volume 17, issue 9
https://doi.org/10.5194/nhess-17-1521-2017
https://doi.org/10.5194/nhess-17-1521-2017
Research article
 | 
15 Sep 2017
Research article |  | 15 Sep 2017

Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support

Tom R. Robinson, Nicholas J. Rosser, Alexander L. Densmore, Jack G. Williams, Mark E. Kincey, Jessica Benjamin, and Heather J. A. Bell

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Revised manuscript accepted for NHESS
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Cited articles

Aleotti, P. and Chowdhury, R.: Landslide hazard assessment: summary review and new perspectives, B. Eng. Geol. Environ., 58, 21–44, 1999.
Avouac, J. P., Meng, L., Wei, S., Wang, T., and Ampuero, J. P.: Lower edge of locked Main Himalayan Thrust unzipped by the 2015 Gorkha earthquake, Nat. Geosci., 8, 708–711, 2015.
Bettinelli, P., Avouac, J. P., Flouzat, M., Jouanne, F., Bollinger, L., Willis, P., and Chitrakar, G. R.: Plate motion of India and interseismic strain in the Nepal Himalaya from GPS and DORIS measurements, J. Geodesy., 80, 567–589, https://doi.org/10.1007/s00190-006-0030-3, 2006.
Booth, A. M., Roering, J. J., and Perron, J. T.: Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon, Geomorphology, 109, 132–147, 2009.
Borghuis, A. M., Chang, K., and Lee, H. Y.: Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery, Int. J. Remote Sens., 28, 1843–1856, 2007.
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Short summary
Current methods to identify landslides after an earthquake are too slow to effectively inform emergency response operations. This study presents an empirical approach for modelling the spatial pattern and landslide density within hours to days of the earthquake. The approach uses small initial samples of landslides to identify locations where as yet unidentified landslides may have occurred. The model requires just 200 initial landslides, provided they have sufficiently wide spatial coverage.
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