Prediction of soil erosion risk using earth observation data under recent emission scenarios of CMIP6

Author:

Kumar Nirmal1,Singh Sudhir Kumar1ORCID,Dubey Amit Kumar2ORCID,Ray Ram L.3ORCID,Mustak Sk.4,Rawat Kishan Singh5

Affiliation:

1. K. Banerjee Centre for Atmospheric and Ocean Studies, University of Allahabad, Prayagraj, Uttar Pradesh, India

2. Land Hydrology Division, Space Applications Centre, Ahmedabad, Gujarat, India

3. College of Agriculture and Human Sciences, Prairie View A&M University, Prairie View, TX, USA

4. Department of Geography, School of Environment and Earth Sciences, Central University of Punjab, Bathinda, Punjab (India)

5. Geo-Informatics, Civil Engineering Department, Graphic Era (Deemed to be University), Dehradun, Uttrakhand, India

Funder

DST INSPIRE; Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Reference59 articles.

1. On the Projected Decline in Droughts Over South Asia in CMIP6 Multimodel Ensemble

2. Projections of Precipitation and Temperature over the South Asian Countries in CMIP6

3. Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios

4. Bernstein L, Bosch P, Canziani O, Chen Z, Christ R, Davidson O, Hare W, Huq S, Karoly D, Kattsov V, et al. 2008. Climate change 2007: Synthesis Report. Intergovernmental Panel on Climate Change. Geneva: IPCC. ISBN 2-9169-122-4.

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