Abstract

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.

摘要

在空间和时间上连续监测积雪面积 (SCA) 是估计积雪/冰川融化径流、冰川质量平衡和其他水文研究的重要输入。本研究旨在利用 MODIS Terra 找出包括喜马拉雅中部 Bhagirathi、Alaknanda、Mandakini 和 Pindar 河流域在内的恒河上游流域 (UGRB) 的 SCA 的时空变化以及积雪与地形之间的相互关系。 (MOD10A2) 数据。^{SCA 占流域总面积 ∼18724 km 2}的 ∼32.33%在 UGRB。12年的平均值表明，在这四个子流域中，Bhagirathi河流域的SCA最大~33.25%，而品达河流域的SCA最小~17.50%。在 Mandakini 河流域发现了 SCA 的最大变化率。20°～30°坡度有更有利的积雪条件。北部和西北方向积雪较多，1 月正向归因最大，7 月最小。