Human alteration of global surface water storage variability

地表水 干旱 蓄水 水资源 水循环 气候变化 环境科学 人口 自然地理学 自然(考古学) 基线(sea) 水文学(农业) 气候学 地理 海洋学 生态学 地质学 生物 人口学 岩土工程 考古 环境工程 社会学 入口
作者
Sarah Cooley,Jonathan C. Ryan,L. C. Smith
出处
期刊:Nature [Nature Portfolio]
卷期号:591 (7848): 78-81 被引量:464
标识
DOI:10.1038/s41586-021-03262-3
摘要

Knowing the extent of human influence on the global hydrological cycle is essential for the sustainability of freshwater resources on Earth1,2. However, a lack of water level observations for the world’s ponds, lakes and reservoirs has limited the quantification of human-managed (reservoir) changes in surface water storage compared to its natural variability3. The global storage variability in surface water bodies and the extent to which it is altered by humans therefore remain unknown. Here we show that 57 per cent of the Earth’s seasonal surface water storage variability occurs in human-managed reservoirs. Using measurements from NASA’s ICESat-2 satellite laser altimeter, which was launched in late 2018, we assemble an extensive global water level dataset that quantifies water level variability for 227,386 water bodies from October 2018 to July 2020. We find that seasonal variability in human-managed reservoirs averages 0.86 metres, whereas natural water bodies vary by only 0.22 metres. Natural variability in surface water storage is greatest in tropical basins, whereas human-managed variability is greatest in the Middle East, southern Africa and the western USA. Strong regional patterns are also found, with human influence driving 67 per cent of surface water storage variability south of 45 degrees north and nearly 100 per cent in certain arid and semi-arid regions. As economic development, population growth and climate change continue to pressure global water resources4, our approach provides a useful baseline from which ICESat-2 and future satellite missions will be able to track human modifications to the global hydrologic cycle. Data from the ICESat-2 satellite quantifying the variability of water levels in natural and human-managed water bodies show that a disproportionate majority of global water storage variability occurs in human-managed reservoirs.
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