2010
DOI: 10.4319/lo.2010.55.5.2025
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Characterizing a cyanobacterial bloom in Western Lake Erie using satellite imagery and meteorological data

Abstract: The distribution and intensity of a bloom of the toxic cyanobacterium, Microcystis aeruginosa, in western Lake Erie was characterized using a combination of satellite ocean-color imagery, field data, and meteorological observations. The bloom was first identified by satellite on 14 August 2008 and persisted for . 2 months. The distribution and intensity of the bloom was estimated using a satellite algorithm that is sensitive to near-surface concentrations of M. aeruginosa. Increases in both area and intensity … Show more

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Cited by 248 publications
(200 citation statements)
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“…The negative slope at 681 nm when compared to the baseline established by 665 nm and 709 nm points (Fig. 6) corroborate the results of Wynne et al [16] with the field and MERIS data [17]. …”
Section: Spectral Comparison To the Field Datasupporting
confidence: 80%
“…The negative slope at 681 nm when compared to the baseline established by 665 nm and 709 nm points (Fig. 6) corroborate the results of Wynne et al [16] with the field and MERIS data [17]. …”
Section: Spectral Comparison To the Field Datasupporting
confidence: 80%
“…In fact, without knowledge of the vertical distribution of the algae, the surface biomass delivered from satellite data cannot be used to determine the total cyanobacteria biomass. We can only assume that total biomass values are underestimated when wind conditions are elevated [44]. The results show that severe algal blooms (>80 km 2 ) took place when wind speed was below 3.0 m/s.…”
Section: Environmental Drivers Of Daily Surface Bloom Dynamicsmentioning
confidence: 91%
“…Although nutrient enrichment is a prerequisite to bloom formation, the role of nutrient concentrations in controlling floating algae bloom dynamics might be limited due to elevated concentrations and low inter-annual variation [23,27]. In high nutrient conditions, studies show that the magnitude, spatial extent, and duration of blooms are influenced by temperature, wind conditions (mixing), and solar insolation [30,[42][43][44]. The average temperature had no significant trend in Lake Chaohu (Figure 8a (Figure 8d).…”
Section: Environmental Drivers Of Inter-annual Surface Bloom Dynamicsmentioning
confidence: 99%
“…However, wind and surface water temperature data from the lake buoy indicate a lower frequency of warm and quiescent conditions during the 2011 prebloom period (defined as daily average wind stress τ < 0.05 Pa and temperature T > 15°C) (36) relative to other bloom years (SI Materials and Methods and SI Results and Discussion). In addition, although a particularly strong wind-driven resuspension event before the bloom onset could encourage fast initial bloom growth, wind conditions that led to the resuspension event immediately preceding bloom onset were not unusual relative to other years.…”
Section: Resultsmentioning
confidence: 99%