Archive > Volume 47 Issue 1 > 2019,47(1):171-178 Prev Next

Suitable Meteorological Indicators for Formation of Cyanobacteria Blooms in Taihu Lake

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    Abstract:
    According to the information of cyanobacteria bloom on the Taihu Lake retrieved from satellite remote sensing from 2005 to 2017 and the regional meteorological observation data, it is shown that the Taihu Lake cyanobacteria bloom occurred in the daily average temperature range of 0 to 35 ℃, with the highincidence interval being 15.1 to 35 ℃, within which the bloom cyanobacterial area accounts for 90%, and the largescale cyanobacterial bloom (the area of a single cyanobacteria bloom event exceeds 20% of the surface area of the Taihu Lake, 468 km2) accounts for 93%. Within 6 hours before the satellite passing, in the average wind speed being 0.2 to 4.8 m/s, the cyanobacterial bloom can be observed, with the most suitable wind speed range being 05 to 34 m/s, within which the occurrence number of cyanobacterial bloom accounts for 94.7%. The largescale cyanobacterial bloom mainly occurred when the average wind speed was 0 to 20 m/s, accounting for 89%. The wind direction mainly affects the movement and spatial distribution of cyanobacterial bloom. Precipitation generally has a negative impact on the occurrence and development of cyanobacterial bloom. While there occurred was largearea cyanobacteria bloom, the situation that there was small precipitation (<10 mm) in the first 24 hours accounts for 88%, indicating that the moderate disturbance of light rainfall is conducive to the formation of largeareas cyanobacteria blooms. Sufficient sunshine may be one of the conditions for cyanobacterial bloom, but not a necessary condition. On the basis of this, a multivariate regression comprehensive meteorological index model is established, and the fitting result is good, passed the 0.001level significance test.

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External LinksChina Meteorological AdministrationCMA Meteorological Observation CentreChinese Academy of Meteorological SciencesBeijing Meteorological ServiceNational Satellite Meteorological Center
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