Back to Search Start Over

Monitoring, simulation and early warning of cyanobacterial harmful algal blooms: An upgraded framework for eutrophic lakes.

Authors :
Qiu, Yinguo
Huang, Jiacong
Luo, Juhua
Xiao, Qitao
Shen, Ming
Xiao, Pengfeng
Peng, Zhaoliang
Jiao, Yaqin
Duan, Hongtao
Source :
Environmental Research. Jan2025:Part 1, Vol. 264, pN.PAG-N.PAG. 1p.
Publication Year :
2025

Abstract

Cyanobacterial Harmful Algal Bloom (CyanoHAB) is a global aquatic environmental issue, posing considerable eco-environmental challenges in freshwater lakes. Comprehensive monitoring and accurate prediction of CyanoHABs are essential for their scientific management. Nevertheless, traditional satellite-based monitoring and process-oriented prediction methods of CyanoHABs failed to satisfy this demand due to the limited spatiotemporal resolutions of both monitoring data and prediction results. To address this issue, this paper proposes an upgraded framework for comprehensive monitoring and accurate prediction of CyanoHABs. A collaborative CyanoHAB monitoring network was firstly constructed by integrating space, aerial, and ground-based monitoring means. As a result, CyanoHAB conditions were assessed frequently covering the entire lake, its key areas, and core positions. Furthermore, by overcoming technical limitations associated with high-precision simulation of the growth-drift-accumulation process of CyanoHABs, such as the unclear drifting process of CyanoHABs and the mechanism of its coastal accumulation, the multi-scale CyanoHAB prediction was realized interconnecting the entire lake and its nearshore areas. The implemented framework has been applied in Lake Chaohu for over three years. It provided high-frequency and high-spatial-resolution CyanoHAB monitoring, as well as its multi-scale and accurate simulation. The application of this framework in Lake Chaohu had significantly improved the accuracies of CyanoHAB monitoring, simulation, and early warning. This advancement holds significant scientific value and offers potential for CyanoHAB prevention and control in eutrophic lakes. [Display omitted] • An upgraded framework was developed for lacustrine CyanoHAB management. • High spatiotemporal precision of CyanoHAB monitoring was realized. • Multi-scale CyanoHAB prediction in lakes was innovatively realized. • CyanoHAB status was obtained rapidly (hourly) and precisely (MRE<15%). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00139351
Volume :
264
Database :
Academic Search Index
Journal :
Environmental Research
Publication Type :
Academic Journal
Accession number :
181493651
Full Text :
https://doi.org/10.1016/j.envres.2024.120296