Influence of sunlight on the proliferation of cyanobacterial blooms and its potential applications in Lake Taihu, China

Zhou, Qihai; Chen, Wei; Shan, Kun; Zheng, Lingling; Song, Lirong

doi:10.1016/s1001-0742(13)60457-x

Cited by 25 publications

(7 citation statements)

References 56 publications

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“…Solar radiation is the energy source of cyanobacteria [63]. Light affects factors such as the synthesis, physiological activity, and buoyancy regulation of algae [24,[63][64][65]. Moreover, wind is an important regulator of algae formation and expansion [66,67].…”

Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

“…The average WT of shallow lakes is consistent with Tmean, and an increase in WT benefits the recovery and growth of overwintering algae [24,62]. Solar radiation is the energy source of cyanobacteria [63]. Light affects factors such as the synthesis, physiological activity, and buoyancy regulation of algae [24,[63][64][65].…”

Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

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MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

Jing

Zhang

et al. 2019

Remote Sensing

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Algal blooms in eutrophic lakes have been a global issue to environmental ecology. Although great progress on prevention and control of algae have been made in many lakes, systematic research on long-term temporal-spatial dynamics and drivers of algal blooms in a plateau Lake Dianchi is so far insufficient. Therefore, the algae pixel-growing algorithm (APA) was used to accurately identify algal bloom areas at the sub-pixel level on the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2000 to 2018. The results showed that algal blooms were observed all year round, with a reduced frequency in winter–spring and an increased frequency in summer–autumn, which lasted a long time for about 310–350 days. The outbreak areas were concentrated in 20–80 km2 and the top three largest areas were observed in 2002, 2008, and 2017, reaching 168.80 km2, 126.51 km2, and 156.34 km2, respectively. After deriving the temporal-spatial distribution of algal blooms, principal component analysis (PCA) and redundancy analysis (RDA) were applied to explore the effects of meteorological, water quality and human activities. Of the variables analyzed, mean temperature (Tmean) and wind speed (WS) were the main drivers of daily algal bloom areas and spatial distribution. The precipitation (P), pH, and water temperature (WT) had a strong positive correlation, while WS and sunshine hours (SH) had a negative correlation with monthly maximum algal bloom areas and frequency. Total nitrogen (TN) and dissolved oxygen (DO) were the main influencing factors of annual frequency, initiation, and duration of algal blooms. Also, the discharge of wastewater and the southwest and southeast monsoons may contribute to the distribution of algal blooms mainly in the north of the lake. However, different regions of the lake show substantial variations, so further zoning and quantitative joint studies of influencing factors are required to more accurately understand the true mechanisms of algae in Lake Dianchi.

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Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

Jing

Zhang

et al. 2019

Remote Sensing

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“…In particular, differences in all variables were highest in August due to low values inside the VWC, which presumably resulted from the treatment effect, with differences of 0.6 °C in WT, 1.53 mg/L in DO, and 0.55 in pH. In addition to algal reduction directly caused by the VWC, the shading effect, resulting in a temperature decrease, might hinder algal photosynthesis and thereby cause a decline in both DO and pH within the VWC [25]. A prior study validated the applicability of algae control by partial lightshading [10].…”

Section: Effects On Basic Water Quality Variablesmentioning

confidence: 99%

“…Bowmer et al [26] showed that for D. circinale, the most dominant species in our study area, the ratio of geosmin concentration to algal biomass was correlated with light intensity. In addition to algal reduction directly caused by the VWC, the shading effect, resulting in a temperature decrease, might hinder algal photosynthesis and thereby cause a decline in both DO and pH within the VWC [25]. A prior study validated the applicability of algae control by partial light-shading [10].…”

Section: Effects On Basic Water Quality Variablesmentioning

confidence: 99%

A Physical Pre-Treatment Method (Vertical Weir Curtain) for Mitigating Cyanobacteria and Some of Their Metabolites in a Drinking Water Reservoir

Park

Kim

et al. 2017

Water

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Abstract:Harmful cyanobacteria and their metabolites often contaminate drinking water resources, and effective control remains challenging. Here, we developed a physical algal pre-treatment method, the vertical weir curtain (VWC), to mitigate cyanobacteria and some of their metabolites (geosmin, 2-methylisoborneol (2-MIB), and microcystins) in situ and evaluated its performance in a raw water reservoir used for drinking water supply. The VWC was manufactured with two fibrous polypropylene mats (0% and 92% porosity) which were mounted to maintain a constant underwater depth. We installed the VWC to cover the entire epilimnion of the drinking water intake zone and monitored its efficiency during an algal bloom period (July-October 2015). Reduction rates were 40-59% for total algae, 60-75% for cyanobacteria, 23-55% for geosmin, 30-51% for 2-MIB, and 47-89% for microcystin-LR during the study period. Significant reductions were observed in the shallow layer of the water column (1-3 m water depth), particularly during August, when cyanobacterial density was the highest. The results indicate that the VWC can effectively mitigate harmful cyanobacteria and their metabolites when suitably applied, serving as a valuable reference for the algal reduction in raw drinking water resources.

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“…Microcystis flos-aquae (Cyanophyta) and Synechococcus (Chlorophyta) dominated in Lake Taihu during the eutrophication period (Cai et al 2012;Shen et al 2003;Huang et al 2014). Whether the variation is influenced by light intensity is one issue in current studies (Zhou et al 2014;Gorai et al 2014;Huo et al 2014) and the focus of this paper.…”

Section: Introductionmentioning

confidence: 96%

Chlorophyll ratio analysis of the responses of algae communities to light intensity in spring and summer in Lake Erhai

et al. 2015

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Algae biomass and community structure can reflect the current situation of a lake, especially in response to changes in light intensity. The relationship between chlorophyll a (Chl a) and chlorophyll b (Chl b) ratio and the proportion of Chlorophyta within the algae community were analyzed in this study. Results showed that light was more intense in August than in March. Algae density in August was greater than in March. The concentration of Chl a and b was influenced by light intensity level. In March, Microcystis and Kirchneriella sp dominated surface water, where the light intensity was over 216 lmol m -2 s -1 , Gloeocapsa, Dictyospaerium pulchellum, and Scenedesmus dominated intermediate water, where the light ranged from 36 to 216 lmol m -2 s -1 . Asterionella formosa Hassall and Mougeotia scalaris dominated near the bottom, where the light was below 36 lmol m -2 s -1 . In August, Microcystis and Selenastrum reinsch dominated surface water, where the light was above 18 lmol m -2 -s -1 . Chroococcus, Chlorella, and Scendesmus quadricauda dominated intermediate water, where light ranged from 90 to 180 lmol m -2 s -1 . Anabaena spirioides and Pediastrum simplex dominated bottom water, where the light was below 90 lmol m -2 s -1 . According to the mean value of Chlorophyta density and algae cell density in three different water levels, the ratio of Chlorophyta and algae community declined from March to August, ranging from 12. 35-21.41 to 4.28-11.19 %. The mean value ratio of Chl b and Chl a in three different water levels showed the same tendency from March to August, ranging from 18.05-21.77 to 15.15-17.44 %. These variations in chlorophyll ratio and Chlorophyta ratio indicated that the structure of the algae community structure was influenced by differences in light intensity.

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Influence of sunlight on the proliferation of cyanobacterial blooms and its potential applications in Lake Taihu, China

Cited by 25 publications

References 56 publications

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

A Physical Pre-Treatment Method (Vertical Weir Curtain) for Mitigating Cyanobacteria and Some of Their Metabolites in a Drinking Water Reservoir

Chlorophyll ratio analysis of the responses of algae communities to light intensity in spring and summer in Lake Erhai

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