Browsing by Author "Suhas Khobragade"

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Identifying moisture transport pathways for north-west India
(John Wiley and Sons Ltd, 2023) Suneel Kumar Joshi; Sudhir Kumar; Rajiv Sinha; Shive Prakash Rai; Suhas Khobragade; M. Someshwar Rao
The isotopic composition (δ18O and δ2H) of precipitation is widely used as a moisture source tracer. In north-west India, the δ18O, δ2H and D-excess values of precipitation correlate mainly with air temperature; however, the moisture sources of water vapour are unclear. Therefore, we collected daily precipitation isotope data (n = 425) from 13 rain gauge stations in northwest India in 2013. We established a regional meteoric water line (MWL) for northwest India and local MWLs for all 13 rain gauge stations separately. We observed an altitudinal gradient of about 0.11‰/100 m in slope and about 1.22‰/100 m in intercept from the western to the northeast part of the study area. The isotopic composition of precipitation shows spatial and temporal variability across the study area. We found higher Deuterium excess values during winter (December–February) and lower during the monsoon season (July–September), which may be associated with the different moisture sources, namely, the Bay of Bengal, Arabian Sea and Westerly disturbances. Our results suggest local moisture recycling may also occur during the study period. The present study can enhance the knowledge of the isotopic evolution of precipitation and moisture sources in northwest India. © 2023 John Wiley & Sons Ltd.
Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya
(Taylor and Francis Ltd., 2022) Prikash N. Meetei; Rajeev Saran Ahluwalia; S.P. Rai; Suhas Khobragade; Shushanta Sarangi; Manmohan Goel; Sushil Kumar
Continuous monitoring of snow cover area (SCA) in space and time is a vital input to estimate the snow/glacier melt runoff, glacial mass balance and other hydrological studies. The present study aims to find out the spatio-temporal variation of SCA and inter-relationship between snow accumulation and topography in the Upper Ganga River Basin (UGRB) including Bhagirathi, Alaknanda, Mandakini and Pindar River sub-basins, central Himalaya using MODIS Terra (MOD10A2) data. SCA is found ∼32.33% to the total basin area of ∼18724 km2 in UGRB. The Average of 12 year shows that Bhagirathi River Basin has maximum SCA∼33.25%, whereas Pindar river basin has minimum SCA ∼17.50% among these four sub-basins. Maximum rate of change of SCA is found in the Mandakini River Basin. Slope class 20°–30°has more favorable conditions for snow accumulation. North and north-west aspect has higher snow accumulation with maximum positive attribution in January and minimum in July. © 2020 Informa UK Limited, trading as Taylor & Francis Group.