Assessment of calanchi and rill–interrill erosion susceptibilities using terrain analysis and geostochastics: A case study in the Oltrepo Pavese, Northern Apennines, Italy-Reference-Cited by-同舟云学术

Assessment of calanchi and rill–interrill erosion susceptibilities using terrain analysis and geostochastics: A case study in the Oltrepo Pavese, Northern Apennines, Italy

Published:2020-07-26 Issue:12 Volume:45 Page:3025-3041
ISSN:0197-9337
Container-title:Earth Surface Processes and Landforms
language:en
Short-container-title:Earth Surf. Process. Landforms

Author:

Bosino Alberto¹^ORCID,Giordani Paolo²,Quénéhervé Geraldine¹,Maerker Michael¹

Affiliation:

1. Department of Earth and Environmental Sciences University of Pavia Via A. Ferrata 1 Pavia 27100 Italy

2. Department of Pharmacy University of Genova Viale Cembrano 4 Genova 16148 Italy

Funder

Università degli Studi di Pavia

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.4949

Reference109 articles.

1. Susceptibility mapping of gully erosion using a GIS‐based statistical bivariate models: a case study from Ali Al‐Gharbi District, Maysan Governorate, southern Iraq;Al‐Abadi A;Environmental Earth Sciences,2018

2. Water erosion susceptibility mapping by applying Stochastic Gradient Treeboost to the Imera Meridionale River Basin (Sicily, Italy)

3. La flora della provincia di Pavia (Lombardia, Italia settentrionale). 1. L’Oltrepò Pavese

4. ARPA Lombardia.2019.Agenzia Regionale per la Protezione dell’Ambiente. Retrieved fromhttp://www.arpalombardia.it/siti/arpalombardia/meteo/richiesta-dati-misurati/Pagine/RichiestaDatiMisurati.aspx

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