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

Related authors

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
Mohamed Elneel Elshaikh Eltayeb Elbasheer, Gerald Augusto Corzo, Dimitri Solomatine, and Emmanouil Varouchakis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-98,https://doi.org/10.5194/hess-2023-98, 2023
Revised manuscript not accepted
Short summary
Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
Mohamed Elneel Elshaikh Eltayeb Elbasheer, Gerald Augusto Corzo, Dimitri Solomatine, and Emmanouil Varouchakis
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-348,https://doi.org/10.5194/hess-2022-348, 2022
Manuscript not accepted for further review
Short summary

Related subject area

Soil pollution and remediation
Long-term legacy of phytoremediation on plant succession and soil microbial communities in petroleum-contaminated sub-Arctic soils
Mary-Cathrine Leewis, Christopher Kasanke, Ondrej Uhlik, and Mary Beth Leigh
SOIL, 10, 551–566, https://doi.org/10.5194/soil-10-551-2024,https://doi.org/10.5194/soil-10-551-2024, 2024
Short summary
Investigating the synergistic potential of Si and biochar to immobilize Ni in a Ni-contaminated calcareous soil after Zea mays L. cultivation
Hamid Reza Boostani, Ailsa G. Hardie, Mahdi Najafi-Ghiri, Ehsan Bijanzadeh, Dariush Khalili, and Esmaeil Farrokhnejad
SOIL, 10, 487–503, https://doi.org/10.5194/soil-10-487-2024,https://doi.org/10.5194/soil-10-487-2024, 2024
Short summary
Estimations of soil metal accumulation or leaching potentials under climate change scenarios: the example of copper on a European scale
Laura Sereni, Julie-Maï Paris, Isabelle Lamy, and Bertrand Guenet
SOIL, 10, 367–380, https://doi.org/10.5194/soil-10-367-2024,https://doi.org/10.5194/soil-10-367-2024, 2024
Short summary
Model-based analysis of erosion-induced microplastic delivery from arable land to the stream network of a mesoscale catchment
Raphael Rehm and Peter Fiener
SOIL, 10, 211–230, https://doi.org/10.5194/soil-10-211-2024,https://doi.org/10.5194/soil-10-211-2024, 2024
Short summary
Increase in bacterial community induced tolerance to Cr in response to soil properties and Cr level in the soil
Claudia Campillo-Cora, Daniel Arenas-Lago, Manuel Arias-Estévez, and David Fernández-Calviño
SOIL, 9, 561–571, https://doi.org/10.5194/soil-9-561-2023,https://doi.org/10.5194/soil-9-561-2023, 2023
Short summary

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.
Download
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.