Articles | Volume 2, issue 1
https://doi.org/10.5194/soil-2-1-2016
https://doi.org/10.5194/soil-2-1-2016
Original research article
 | 
15 Jan 2016
Original research article |  | 15 Jan 2016

Development of a statistical tool for the estimation of riverbank erosion probability

E. A. Varouchakis, G. V. Giannakis, M. A. Lilli, E. Ioannidou, N. P. Nikolaidis, and G. P. Karatzas

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Cited articles

Abam, T. K. S.: Factors affecting distribution of instability of river banks in the Niger delta, Eng. Geol., 35, 123–133, 1993.
Atkinson, P. M., German, S. E., Sear, D. A., and Clark, M. J.: Exploring the relations between riverbank erosion and geomorphological controls using geographically weighted logistic regression, Geogr. Anal., 35, 58–82, 2003.
Bridge, J. S.: Rivers and floodplains: forms, processes, and sedimentary record, Blackwell, Malden, Mass., USA, 2003.
Brunsdon, C., Fotheringham, A. S., and Charlton, M. E.: Geographically weighted regression: a method for exploring spatial nonstationarity, Geogr. Anal., 28, 281–298, 1996.
Cleveland, W. S. and Devlin, S. J.: Locally weighted regression: an approach to regression analysis by local fitting, J. Am. Stat. Assoc., 83, 596–610, 1988.
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Short summary
A statistical methodology is proposed to predict the probability of presence or absence of erosion in a river section considering locally spatial correlated independent variables. The proposed tool is easy to use and accurate and can be applied to any region and river. It requires information from easy-to-determine geomorphological and/or hydrological variables to provide the vulnerable locations. This tool could be used to assist in managing erosion and flooding events.
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