The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India-Reference-Cited by-同舟云学术

The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India

Published:2020-10 Issue:20 Volume:13 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Chakrabortty Rabin,Pradhan Biswajeet,Mondal Prolay,Pal Subodh Chandra^ORCID

Funder

Natural Resources Data Management System

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-020-06033-y.pdf

Reference66 articles.

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2. Arabameri A, Tiefenbacher JP, Blaschke T, Pradhan B, Tien Bui D (2020) Morphometric analysis for soil erosion susceptibility mapping using novel GIS-based ensemble model. Remote Sensing 12:874. https://doi.org/10.3390/rs12050874

3. Arnoldus H (1980) An approximation of the rainfall factor in the universal soil loss equation. An approximation of the rainfall factor in the universal soil loss equation 127–132

4. Bera A (2017) Assessment of soil loss by universal soil loss equation (USLE) model using GIS techniques: a case study of Gumti River Basin, Tripura, India. Model Earth Syst Environ 3:29. https://doi.org/10.1007/s40808-017-0289-9

5. Biswas SS, Pani P (2015) Estimation of soil erosion using RUSLE and GIS techniques: a case study of Barakar River basin, Jharkhand, India. Model Earth Syst Environ 1:42. https://doi.org/10.1007/s40808-015-0040-3

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