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Original Research | Open Access

Ultrahigh-resolution 3D monitoring reveals sediment-derived plumes as algal bloom precursors

Peng Xiaoa,1Congchao Zhanga,1Yu Taob( )Tiefu XucYing ChenbLian FengdLingchao Konge,fZhidan WengWeibin ZhengbHao XubLongxin GuobHangyu GuohZheng PangiZhiling LiaChuan HebShujie Xue,jKaishan SonggJie FengkZhugen YanglShu-Chien HsujChunmiao ZhengfAijie Wanga,b( )Dragan Savicm,nNanqi Rena,b
State Key Laboratory of Urban-Rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150086, China
School of Eco-Environment, Harbin Institute of Technology, Shenzhen, 518055, China
School of Civil Engineering, Heilongjiang University, Harbin, 150080, China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
School of the Environment and Sustainable Engineering, Eastern Institute of Technology, Ningbo, 315200, China
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
School of Environmental Science and Engineering, Nanjing Technology University, Nanjing, 211816, China
Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Shenzhen Academy of Environmental Sciences, Shenzhen, 518001, China
Faculty of Engineering and Applied Sciences, Cranfield University, Cranfield, MK43 0AL, UK
KWR Water Research Institute, Nieuwegein, 3430 BB, the Netherlands
Centre for Water Systems, University of Exeter, Exeter, EX4 4QF, UK

1 These authors contributed equally to this work.

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Abstract

The global intensification of harmful algal blooms severely compromises freshwater ecosystems, threatening biodiversity and critical ecosystem services through toxin exposure, hypoxia, and water quality degradation. Bloom formation involves a complex interplay of nutrient dynamics, hydrology, and microbial activity. Although subsurface processes—such as the release of sediment-bound nutrients and the germination of dormant cyanobacteria—are thought crucial to bloom initiation, these phenomena occur at fine spatiotemporal scales beyond the reach of conventional monitoring. As a result, the exact, rapidly evolving triggers of bloom emergence remain mostly unknown. Here we show meter-scale chlorophyll a (Chl-a) plumes rising from the sediment–water interface, triggered by heavy rainfall and directly seeding surface blooms. We captured these dynamics using a custom underwater drone that collected over 2.8 million data points at 5-m horizontal and 1-m vertical resolution. Algal blooms exhibit a clear vertical sequence: anomalous Chl-a levels first appear in deep benthic layers after rainfall-driven resuspension, then intensify simultaneously across near-bed depths, and finally reach the surface after a median lag of 0.8–1.5 days. These observations provide in situ evidence associating benthic algal seed stocks with surface bloom initiation, revealing that the origin and spatial heterogeneity of such events arise from rainfall-driven disturbances at the sediment–water interface. This robotic approach not only deciphers the subsurface origins of algal blooms but also empowers predictive modeling and adaptive management strategies, advancing global efforts to combat eutrophication amid escalating climate pressures and safeguard vital water resources.

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Environmental Science and Ecotechnology

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Cite this article:
Xiao P, Zhang C, Tao Y, et al. Ultrahigh-resolution 3D monitoring reveals sediment-derived plumes as algal bloom precursors. Environmental Science and Ecotechnology, 2026, 29. https://doi.org/10.1016/j.ese.2025.100652

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Received: 23 May 2025
Revised: 25 December 2025
Accepted: 25 December 2025
Published: 01 January 2026
© 2025 The Authors. Chinese Society for Environmental Sciences, Harbin Institute of Technology, Chinese Research Academy of Environmental Sciences.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).