Browsing by Author "Meetei, Prikash N."

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    Spatial-diurnal variability of snow/glacier melt runoff in glacier regime river valley: Central Himalaya, India
    (Elsevier Ltd, 2021) Ahluwalia, Rajeev S.; Rai, S.P.; Meetei, Prikash N.; Kumar, Sushil; Sarangi, Shushanta; Chauhan, Pankaj; Karakoti, Indira
    Spatial-diurnal variability in the snow/glacier melt isotope signature and their influence on hydrograph separation based on mixing model received less attention. We present isotope data from a high elevation catchment (glacierized area: 286 km2) in the central Himalaya (India) and investigated the spatial-diurnal variability of snow/glacier meltwater along with inferences of groundwater dynamics. Isotope signature variation in streamflow was small during the study period. We applied a two-component mixing model using oxygen-18 and electrical conductivity. Hydrograph separation (snow/glacier meltwater and groundwater) was carried out for Bhagirathi River at three sites i.e., Gaumukh, Bhojbasa, and Gangotri, during the ablation period of 2014 (September). The Bhagirathi River is a major tributary of river Ganga, originate from Gangotri Glacier (~30 km), the largest glacier in central Himalaya. The electrical conductivity of the river is measured in-situ and varies from 10 ?S/cm to 100 ?S/cm. The river water isotope signature of oxygen was ranged from ?15.53� to ?14.32� from Gaumukh to Gangotri, snow samples were ranged from - 17.63� to - 15.86� collected at Gaumukh. Groundwater samples were varied from ?8.53� to-7.57� from Gaumukh to Gangotri. River water signature is close to snow/glacier melt runoff signature, reveal that the snow/glacier melt runoff contribution is higher in river flow. Average fractions of snow/glacier melt runoff were estimated ~82% to~76%, whereas groundwater was estimated ~18% to ~24%. The results of this study reveal the necessity of a multiple sampling approaches to characterize the snow/glacier melt and the importance of groundwater dynamics in catchments with snow/glacial runoff regime. � 2021
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    Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya
    (Taylor and Francis Ltd., 2022) Meetei, Prikash N.; Ahluwalia, Rajeev Saran; Rai, S.P.; Khobragade, Suhas; Sarangi, Shushanta; Goel, Manmohan; Kumar, Sushil
    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.