‪RUCHIR PATIDAR‬ - ‪Google Scholar‬

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2022202320242 4 1

Co-authors

Dr. Santosh Murlidhar PingaleScientist, National Institute of Hydrology, RoorkeeVerified email at gov.in
Deepak KhareProfessor, WRDM,IIT RoorkeeVerified email at iitr.ac.in
SOURAV CHOUDHARYResearch scholar, WRD&M, IIT ROORKEEVerified email at wr.iitr.ac.in

RUCHIR PATIDAR

RUCHIR PATIDAR

Scientist, NIH Roorkee ; PhD Scholar, WRD&M, IIT Roorkee

Verified email at wr.iitr.ac.in

Groundwater Climate Change Hydrology Machine Learning


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An integration of geospatial and machine learning techniques for mapping groundwater potential: a case study of the Shipra river basin, India R Patidar, SM Pingale, D Khare Arabian Journal of Geosciences 14 (16), 1645, 2021	7	2021
A multi-scale Spatio-temporal evaluation of drought characteristics over semi-arid regions of Bundelkhand, India R Patidar, SM Pingale, D Khare, S Choudhary AGU Fall Meeting Abstracts 2022, GC54C-05, 2022		2022
Groundwater Resources Assessment Under the Combined Impact of Climate Change and LULC in the Upper Godavari Sub Basin, India. S Choudhary, SM Pingale, D Khare, R Patidar AGU Fall Meeting Abstracts 2022, H41C-05, 2022		2022
GIS-based groundwater potential mapping using machine learning techniques. R Patidar, D Khare, S Pingale AGU Fall Meeting Abstracts 2021, EP15H-10, 2021		2021

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Articles 1–4