Real-time prediction of rain-triggered lahars: incorporating seasonality and catchment recovery

Jones, R, Manville, V orcid.org/0000-0002-0829-1012, Peakall, J et al. (2 more authors) (2017) Real-time prediction of rain-triggered lahars: incorporating seasonality and catchment recovery. Natural Hazards and Earth System Sciences, 17. pp. 2301-2312. ISSN 1561-8633

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2017, Author(s). This work is distributed under the Creative Commons Attribution 3.0 License [https://creativecommons.org/licenses/by/3.0/].
Dates:
  • Published: 13 December 2017
  • Accepted: 21 October 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds)
Funding Information:
FunderGrant number
NERCNE/J02483X/1
Depositing User: Symplectic Publications
Date Deposited: 14 Dec 2017 13:55
Last Modified: 19 Jan 2018 15:15
Status: Published
Publisher: European Geosciences Union
Identification Number: https://doi.org/10.5194/nhess-17-2301-2017
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