Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya
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.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por National Agricultural Library