环境科学
高原(数学)
气候变化
降水
地下水
冰川
全球变暖
持续性
水文学(农业)
水资源
气候学
自然地理学
地理
气象学
地质学
数学分析
生态学
海洋学
数学
岩土工程
生物
作者
Longhuan Wang,Binghao Jia,Xing Yuan,Zhenghui Xie,Kun Yang,Shi Jiancheng
标识
DOI:10.1038/s41612-024-00840-w
摘要
The change of groundwater storage (GWS) on the Tibetan Plateau (TP) is vital for water resources management and regional sustainability, but its estimation has large uncertainty due to insufficient hydrological measurements and diverse future climate scenarios. Here, we employ high-resolution land surface modeling, advanced satellite observations, global climate model data, and deep learning to estimate GWS changes in the past and future. We find a 3.51 ± 2.40 Gt yr−1 increase in GWS from 2002–2018, especially in exorheic basins, attributed to glacier melting. The GWS will persistently increase in the future, but the growth rate is slowing down (0.14 Gt yr−1 for 2079–2100 under a high emission scenario). Increasing GWS is projected over most endorheic basins, which is associated with increasing precipitation and decreasing shortwave radiation. In contrast, decreasing GWS is projected over the headwaters of Amu Darya, Yangtze, and Yellow river basins. These insights have implications for sustainable water resource management in a changing climate.
科研通智能强力驱动
Strongly Powered by AbleSci AI