Qiu Yunxiao, He Zimiao, Yu Xinxiao, Jia Guodong, Wang Yusong
Beijing Forestry University, Key Laboratory of Soil and Water Conservation and Desertification Combating of Ministry of Education, Beijing 100083, P.R. China.
North China University of Water Resources and Electric Power, College of Surveying and Geo-informatics, Zhengzhou 450046, P.R. China.
iScience. 2024 Sep 11;27(10):110929. doi: 10.1016/j.isci.2024.110929. eCollection 2024 Oct 18.
Understanding the characteristics and factors influencing groundwater resources is important for regional water resources management. The Gravity Recovery and Climate Experiment (GRACE)-based groundwater conditions were used to analyze the spatiotemporal characteristics of and the factors influencing groundwater storage (GWS) distribution in the Loess zone of the Yellow River Basin. The results revealed that the spatiotemporal distribution of GWS anomalies in the Loess zone of China was best explained by the first three components of the empirical orthogonal function (EOF), representing 85.6% of the total variance. The normalized difference vegetation index (NDVI) was significantly correlated with groundwater drought ( < 0.05). In addition, NDVI and evapotranspiration (ET) were the dominant factors influencing groundwater drought. NDVI was the dominant influencing factor in 67% and 80% of the total study area between 2002-2014 and 2015-2021, respectively. This study provides important guidance for a future ecological restoration plan in the Loess zone.
了解影响地下水资源的特征和因素对于区域水资源管理至关重要。基于重力恢复与气候实验(GRACE)的地下水状况被用于分析黄河流域黄土区地下水储量(GWS)分布的时空特征及其影响因素。结果表明,中国黄土区GWS异常的时空分布最好由经验正交函数(EOF)的前三个分量来解释,占总方差的85.6%。归一化植被指数(NDVI)与地下水干旱显著相关(<0.05)。此外,NDVI和蒸散量(ET)是影响地下水干旱的主要因素。在2002 - 2014年和2015 - 2021年期间,NDVI分别是整个研究区域的67%和80%的主要影响因素。该研究为黄土区未来的生态恢复计划提供了重要指导。