基于GRACE和GRACE-FO的黄河流域陆地水储量及影响因素分析EI北大核心CSCD

基于GRACE和GRACE-FO卫星陆地水储量遥感数据,采用长短期记忆(LSTM)神经网络模型,结合水量平衡方程和全球陆地数据同化系统(GLDAS)重建GRACE与GRACE-FO间的陆地水储量变化量,分析黄河流域2002年4月至2020年3月陆地水储量变化特征,探究影响陆地水储量变化的环境因子。结果表明:LSTM模型可以有效填补GRACE与GRACE-FO间的陆地水储量变化量;黄河流域陆地水储量呈明显下降趋势,上、中、下游下降趋势依次增大,陆地水储量与地下水储量的变化特征高度相关;黄河流域上、中、下游年陆地水储量变化量与年降水量和年干燥度指数呈极显著相关关系,表明黄河流域陆地水储量变化受到降水和蒸散发的影响。

GRACE and GRACE-FO-based terrestrial water storage and its influencing factor analysis of the Yellow River Basin

Based on GRACE and GRACE-FO satellite remote sensing data, the terrestrial water storage change between GRACE and GRACE-FO was reconstructed using the long short-term memory (LSTM) neural network model, combined with the water balance equation and global land data assimilation system (GLDAS). Then, the change characteristics of terrestrial water storage of the Yellow River Basin from April, 2002 to March, 2020 were analyzed, and its environmental factors were explored. The results show that the LSTM model can obtain the missing data of terrestrial water storage change between GRACE and GRACE-FO effectively, and the terrestrial water storage of the Yellow River Basin shows an obvious decreasing trend, with the decreasing trend getting more significant along the upper, middle, and lower reaches. The change characteristics of terrestrial water storage and groundwater storage are highly correlated, and there are also significant correlations between the annual terrestrial water storage change, annual precipitation, and annual dryness index in the upper, middle, and lower reaches of the Yellow River Basin, indicating that the terrestrial water storage change in the Yellow River Basin is affected by precipitation and evapotranspiration.