布鲁姆
水华
环境科学
海洋学
气候变化
卫星
生物量(生态学)
浮游植物
生态学
地质学
生物
营养物
航空航天工程
工程类
作者
Denghui Wang,Lei Li,Rongsheng Ning,Yisheng Shao,Huixian Li,X. Shi,Zhehua Xue,Charles Flomo Togbah,Shuili Yu,Naiyun Gao
标识
DOI:10.1021/acs.est.4c03391
摘要
Satellite evidence indicates a global increase in lacustrine algal blooms. These blooms can drift with winds, resulting in significant changes of the algal biomass spatial distribution, which is crucial in bloom formation. However, the lack of long-term, large-scale observational data has limited our understanding of bloom drift. Here, we have developed a novel method to track the drift using multi-source remote sensing satellites and presented a comprehensive bloom drift data set for four typical lakes: Lake Taihu (China, 2011–2021), Lake Chaohu (China, 2011–2020), Lake Dianchi (China, 2003–2021), and Lake Erie (North America, 2003–2021). We found that blooms closer to the water surface tend to drift faster. Higher temperatures and lower wind speeds bring blooms closer to the water surface, therefore accelerating drift and increasing biomass transportation. Under ongoing climate change, algal blooms are increasingly likely to spread over larger areas and accumulate in downwind waters, thereby posing a heightened risk to water resources. Our research greatly improves the understanding of algal bloom dynamics and provides new insights into the driving factors behind the global expansion of algal blooms. Our bloom-drift-tracking methodology also paves the way for the development of high-precision algal bloom prediction models.
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