Both meteorological droughts and human activities modulated groundwater variations in the northern Yellow River Basin

被引:1
作者
Yang, Xuening [1 ,2 ]
Shao, Xingmin [1 ,3 ]
Ma, Ning [1 ]
Zhang, Xuanze [1 ]
Tian, Jing [1 ]
Tang, Zixuan [1 ,3 ]
Chen, Yuyin [1 ,3 ]
Tian, Xiaoqiang [4 ]
Feng, Rui [4 ]
Wu, Tongjing [4 ]
Bian, Nan [4 ]
Miao, Ping [5 ]
Ma, Hongli [5 ]
Chen, Bing [4 ]
Zhang, Yongqiang [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Ordos Water Conservancy Bur, Flood & Drought Disaster Prevent Technol Ctr, Ordos 017000, Inner Mongolia, Peoples R China
[5] Ordos Water Conservancy Bur, River & Lake Protect Ctr, Ordos 017000, Inner Mongolia, Peoples R China
来源
HYDROLOGY RESEARCH | 2024年 / 55卷 / 09期
基金
中国国家自然科学基金;
关键词
groundwater depth; human activities; meteorological drought; propagation characteristics; Yellow River Basin; STANDARDIZED PRECIPITATION INDEX; ECOLOGICAL RESTORATION; LOESS PLATEAU; TIME-SERIES; WATER-USE; CHINA; IRRIGATION; VULNERABILITY; CLIMATE; STORAGE;
D O I
10.2166/nh.2024.052
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Groundwater level declines are largely associated with natural processes and human activities. In particular, the drivers of groundwater change can be more complex during meteorological drought owing to human activities. However, disentangling their specific contribution remains poorly understood. By focusing on semiarid ecosystems in the northern Yellow River Basin - the Ordos - here we elucidate the impact of human activities on the propagation of meteorological droughts to groundwater systems. To comprehensively analyze groundwater variations, we employ the K-means, categorizing them into four distinct patterns. Based on the Pearson correlation coefficient analysis between standardized precipitation index (SPI) and groundwater depth (GWD), we found that the majority of lag time for GWD response to SPI is less than 3 months, and the drivers influencing GWD are classified into three categories: SPI, human activities related to SPI, and human activities unrelated to SPI. Our results reveal that both meteorological droughts and human activities jointly influence GWD across the entire region. Notably, human activities unrelated to SPI have the greatest impact in the irrigation district of Ordos, followed by the western part of Ordos and the Mu Us sandy land in central Ordos. Our findings can guide to formulate effective drought management policies and practices in semiarid regions.
引用
收藏
页码:921 / 935
页数:15
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