Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations
Fifteen Years (1993–2007) of Surface Freshwater Storage Variability in the Ganges-Brahmaputra River Basin Using Multi-Satellite Observations
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DOI：
10.3390/w9040245
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发表时间：
2017-03
期刊：
影响因子：
3.4
通讯作者：
E. Salameh;F. Frappart;F. Papa;A. Güntner;V. Venugopal;A. Getirana;C. Prigent;F. Aires;D. Labat;B. Laignel
中科院分区：
文献类型：
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作者：
E. Salameh;F. Frappart;F. Papa;A. Güntner;V. Venugopal;A. Getirana;C. Prigent;F. Aires;D. Labat;B. Laignel
地表水储存是陆地水文和生物地球化学循环的关键组成部分，在水资源管理中也发挥着重要作用。在这项研究中，使用基于高级星载热发射和反射辐射计(ASTER)、基于水文建模和分析平台(HyMAP)的全球数字高程模型(GDEM)和恒河-雅鲁藏布江盆地全球淹没程度多卫星(GIEMS)产品的地形信息组合的地形方法，估计了15年(1993-2007年)每月时间尺度上的地表水储量(SWS)变化。地表水储量的月变化与全球降水气候学计划(GPCP)的降水量、恒河和雅鲁藏布江出口的河流流量以及重力恢复与气候实验(GRACE)的陆地水储量(TWS)具有很好的一致性，相关系数均大于0.85。地表蓄水量表现出很强的季节性信号(GIEMS/ASTER估算的约496km~3和GIEMS/HyMAPs估算的约378km~3)，分别占总蓄水量信号的51%和41%，并表现出较大的年际变化，在1994年的类干旱条件下表现出强烈的负异常，或在1998年等强正异常期间表现出强烈的正异常。这一新的SWS数据集为恒河-雅鲁藏布江流域的水文和气候模拟研究提供了一个新的、非常有价值的信息来源。
Surface water storage is a key component of the terrestrial hydrological and biogeochemical cycles that also plays a major role in water resources management. In this study, surface water storage (SWS) variations are estimated at monthly time-scale over 15 years (1993–2007) using a hypsographic approach based on the combination of topographic information from Advance Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Hydrological Modeling and Analysis Platform (HyMAP)-based Global Digital Elevation Models (GDEM) and the Global Inundation Extent Multi-Satellite (GIEMS) product in the Ganges-Brahmaputra basin. The monthly variations of the surface water storage are in good accordance with precipitation from Global Precipitation Climatology Project (GPCP), river discharges at the outlet of the Ganges and the Brahmaputra, and terrestrial water storage (TWS) from the Gravity Recovery And Climate Experiment (GRACE), with correlations higher than 0.85. Surface water storage presents a strong seasonal signal (~496 km3 estimated by GIEMS/ASTER and ~378 km3 by GIEMS/HyMAPs), representing ~51% and ~41% respectively of the total water storage signal and it exhibits a large inter-annual variability with strong negative anomalies during the drought-like conditions of 1994 or strong positive anomalies such as in 1998. This new dataset of SWS is a new, highly valuable source of information for hydrological and climate modeling studies of the Ganges-Brahmaputra river basin.