Articles | Volume 19, issue 1
Nat. Hazards Earth Syst. Sci., 19, 41–51, 2019
https://doi.org/10.5194/nhess-19-41-2019

Special issue: Flood risk assessment and management

Nat. Hazards Earth Syst. Sci., 19, 41–51, 2019
https://doi.org/10.5194/nhess-19-41-2019

Research article 09 Jan 2019

Research article | 09 Jan 2019

Study on the combined threshold for gully-type debris flow early warning

Jian Huang et al.

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Cited articles

Baum, R. L. and Godt, J. W.: Early warning of rainfall-induced shallow landslides and debris flows in the USA, Landslides, 7, 259–272, 10.1007/s10346-009-0177-0, 2009. 
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology/Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant, Hydrol. Sci. B., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. 
Cannon, S. H., Gartner, J. E., Wilson, R. C., Bowers, J. C., and Laber, J. L.: Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California, Geomorphology, 96, 250–269, https://doi.org/10.1016/j.geomorph.2007.03.019, 2008. 
Chae, B.-G. and Kim, M.-I.: Suggestion of a method for landslide early warning using the change in the volumetric water content gradient due to rainfall infiltration, Environ. Earth Sci., 66, 1973–1986, https://doi.org/10.1007/s12665-011-1423-z, 2011. 
Deb, S. K. and El-Kadi, A. I.: Susceptibility assessment of shallow landslides on Oahu, Hawaii, under extreme-rainfall events, Geomorphology, 108, 219–233, 2009. 
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Short summary
Wenjia gully is a typical gully-type debris flow, which has a large-scale catchment and great hazard risk to the local people. Based on the monitoring data for almost 6 years until now, the characteristics of debris-flow-triggering parameters (pore pressure and rainfall) have been analyzed, especially the relationship with debris flow occurrences. Then, a combined threshold has been presented and tested in order to provide a method for safeguarding the population in the region.
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