Articles | Volume 2, issue 1
https://doi.org/10.5194/soil-2-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/soil-2-1-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Original research article
| 
15 Jan 2016
Original research article |
| 15 Jan 2016
Development of a statistical tool for the estimation of riverbank erosion probability
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
G. V. Giannakis
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
M. A. Lilli
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
E. Ioannidou
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
N. P. Nikolaidis
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
G. P. Karatzas
School of Environmental Engineering, Technical University
of Crete, Chania, Greece
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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.
A statistical methodology is proposed to predict the probability of presence or absence of...
