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黄河流域地下水储量时空演变特征及影响因素分析

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基于GRACE和GRACE Follow-On卫星及GLADS数据,考虑气候、植被等影响,构建了时间序列分解和随机森林算法耦合模型,揭示了 2003-2022 年黄河流域地下水储量时空变化特征及主要驱动过程.结果表明:近 20a黄河流域地下水储量显著减小,减小变率为-3.3 mm/a,其中汾河盆地和关中平原地区减小速度最快,变率为-15~-30 mm/a;气候呈暖干化趋势,植被绿度提高,蒸散发量显著增加;地下水储量的减小是植被覆盖增加、气温升高和蒸散发量增加共同作用导致地下水消耗量增加的结果;地下水储量空间变化主导因素差异显著,不同区域主导过程均由植被状况和气温的相互作用驱动.
Spatio-Temporal Characteristics and Influencing Factors Analysis of Groundwater Storage Variations in the Yellow River Basin
Based on GRACE and GRACE Follow-On satellite,as well as the data of GLDAS,considering the impacts of climate and vegeta-tion,a coupled model of time series decomposition and random forest algorithms was built to reveal the spatial-temporal variations and driving processes of groundwater storage in the Yellow River Basin from 2003 to 2022.The results indicate that a)over the past 20 years,groundwa-ter storage in the basin has significantly decreased,with a rate of-3.3 mm/year,especially in the Fenhe River basin and Guanzhong Plain where the rates are the fastest,ranging from-15 mm/year to-30 mm/year.b)The climate of the basin shows a trend towards warmer and drier,with increased vegetation greenness and evapotranspiration.c)The reduction in groundwater storage is a result of increased groundwa-ter consumption caused by a combination of increased vegetation cover,rising temperatures and increased evapotranspiration.d)The domi-nant factors for spatial variations in groundwater storage differ significantly,with temperature and vegetation interactions driving the processes in different regions.

GRACEgroundwater storagecoupling algorithmclimate changevegetationYellow River Basin

刘家宏、周美林、邵薇薇

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中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室,北京 100038

水利部数字孪生流域重点实验室,北京 100038

GRACE 地下水储量 耦合算法 气候变化 植被 黄河流域

国家自然科学基金重大项目青海省重点研发与转化计划

521926712022-SF-143

2024

人民黄河
水利部黄河水利委员会

人民黄河

CSTPCD北大核心
影响因子:0.494
ISSN:1000-1379
年,卷(期):2024.46(9)
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