Control of zooplankton populations in a wastewater treatment High Rate Algal Pond using overnight CO2 asphyxiation

Montemezzani, Valerio; Duggan, Ian C.; Hogg, Ian D.; Craggs, Rupert J.

doi:10.1016/j.algal.2017.08.004

Cited by 19 publications

(8 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…similarly reported that the antiviral activity of surfactin substantially increased with increasing surfactin concentration 42 , dose-dependent mortality response of cladocerans may provide important information that can be exploited to achieve successful cladoceran-control in a shorter period of time. Nonetheless, complete eradication of cladoceran grazers within 1 day following the application of C9-biosurfactant at all tested concentrations indicates C9-biosurfactant can act as an effective biocontrol agent for cladoceran algal grazers in industrial algal cultivation systems, especially because invading cladoceran grazers often require at least 1–2 days to substantially consume dominant microalgal species 22 , 39 , 43 .…”

Section: Resultsmentioning

confidence: 97%

“…Although this study was focused on demonstrating the biocontrol activity of C9-biosurfactant on cladoceran grazers, microzooplanktons, including rotifers and ciliated protists, are also known to detrimentally contaminate industrial algal cultivation platforms. Indeed, order-of-magnitude reductions in microalgal biomass have been well acknowledged for ciliate-dominated zooplankton in commercial Spirulina ( Arthrospira ) cultivation sites and for rotifer-dominated zooplankton in High Rate Algal Ponds (HRAPs) 22 , 29 , 39 , 43 , 44 . Such devastatingly high level of algal crop losses will impede making algae-based products a commercial reality, thus exploring the effectiveness of C9-biosurfactant in controlling other frequent algal grazers will be vitally important to further support the implementation of C9-biosurfactant at industrial algal cultivation.…”

Section: Resultsmentioning

confidence: 99%

“…In addition, the growth of each algal strain without the presence of cladoceran grazers was monitored for 72 hours in triplicated tube cultures in plain COMBO medium under identical light and temperature conditions. Because dissolved CO 2 and agitation may negatively influence the survival of cladocerans by limiting the exchange of CO 2 and exerting shear stress, all tube cultures were only gently shaken twice a day without supplemental CO 2 to ensure that algal cells stayed in suspension 27 , 43 .…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Application of biosurfactant from Bacillus subtilis C9 for controlling cladoceran grazers in algal cultivation systems

Yun

Cho

Lee

et al. 2018

Sci Rep

View full text Add to dashboard Cite

Open algal cultivation platforms often suffer crop losses to herbivorous grazers that have potential to devastate biomass production within a few days. While a number of studies suggest synthetic chemicals as control agents for voracious algal grazers, environmental and safety concerns associated with the use of these chemicals encourage the exploration of alternative biological control agents. We hereby propose the application of a biosurfactant produced by Bacillus subtilis C9 (referred to as C9-biosurfactant) for controlling cladoceran grazers commonly found in algal cultivation systems. The results indicated that C9-biosurfactant completely eradicated Daphnia pulex and Moina macrocopa within 24 hours when concentrations were equal to or exceeded 6 mg/L. Moreover, supplying C9-biosurfactant into the cultures of selected algal species with and without cladoceran grazers indicated no adverse effect of C9-biosurfactant on the growth and lipid productivity of algal crops, while cladocerans were selectively controlled by C9-biosurfactant even under the presence of their prey. These results thus indicate that C9-biosurfactant could be an effective biocontrol agent for cladoceran grazers at industrial algal cultivation.

show abstract

Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Application of biosurfactant from Bacillus subtilis C9 for controlling cladoceran grazers in algal cultivation systems

Yun

Cho

Lee

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…According to Pearson [31], total algal biomass, as determined by the chlorophyll a concentration in FPs, is usually higher than that in the subsequent MPs of the same series. This probably reflects the reduction in the available nutrients, and the increased grazing pressures by the zooplankton population that occurs in the more aerobic conditions prevailing in MPs [32]. Additionally, there was a logical difference of chlorophyll a and DO concentration between the surface and bottom of the WSP.…”

Section: Variability Of the Physicochemical And Biological Parametersmentioning

confidence: 98%

Generalised Linear Models for Prediction of Dissolved Oxygen in a Waste Stabilisation Pond

Pham

Espinoza-Palacios

et al. 2020

Water

View full text Add to dashboard Cite

Due to simplicity and low costs, waste stabilisation ponds (WSPs) have become one of the most popular biological wastewater treatment systems that are applied in many places around the globe. Increasingly, pond modelling has become an interesting tool to improve and optimise their performance. Unlike process-driven models, generalised linear models (GLMs) can deliver considerable practical values in specific case studies with limited resources of time, data and mechanistic understanding, especially in the case of pond systems containing vast complexity of many unknown processes. This study aimed to investigate the key driving factors of dissolved oxygen variability in Ucubamba WSP (Ecuador), by applying and comparing numerous GLMs. Particularly, using different data partitioning and cross-validation strategies, we compared the predictive accuracy of 83 GLMs. The obtained results showed that chlorophyll a had a strong impact on the dissolved oxygen (DO) level near the water surface, while organic matter could be the most influential factor on the DO variability at the bottom of the pond. Among the 83 models, the optimal models were pond- and depth-specific. Specifically, among the ponds, the models of MPs predicted DO more precisely than those of facultative ponds; while within a pond, the models of the surface performed better than those of the bottom. Using mean absolute error (MAE) and symmetric mean absolute percentage error (SMAPE) to represent model predictive performance, it was found that MAEs varied in the range of 0.22–2.75 mg L−1 in the training period and 0.74–3.54 mg L−1 in the validation period; while SMAPEs were in the range of 2.35–38.70% in the training period and 10.88–71.62% in the validation period. By providing insights into the oxygen-related processes, the findings could be valuable for future pond operation and monitoring.

show abstract

“…Many solutions have been proposed in the literature, ranging from chemical (e.g. rotenone [23], free NH 3 [24], toosendanin [25], CO 2 asphyxiation [26]), mechanical (e.g. filtration [27]), physical (e.g.…”

Section: Introductionmentioning

confidence: 99%

Modeling the impact of rotifer contamination on microalgal production in open pond, photobioreactor and thin layer cultivation systems

et al. 2019

View full text Add to dashboard Cite

Contamination of microalgal cultures by rotifers is known to cause large losses in productivity. The factors that control population dynamics of rotifers in microalgal cultures were studied in controlled contamination experiments in laboratory cultures. These experiments revealed that rotifer growth rates increase with microalgae biomass at low rotifer population densities and declines with rotifer biomass as the rotifer population approaches a carrying capacity. Experimental results were used to construct a model that describes the impact of rotifer contamination on three types of large-scale microalgal cultures. The results of this model indicate that rotifer contamination causes a complete loss in productivity in open pond and closed photobioreactor cultivation systems. In contrast, losses in productivity are limited in thin layer cascade reactors because the rotifer population cannot achieve a sufficiently high population density to cause a crash of the culture. These results suggest that different cultivation systems respond differently to rotifer contamination.

show abstract

Control of zooplankton populations in a wastewater treatment High Rate Algal Pond using overnight CO2 asphyxiation

Cited by 19 publications

References 67 publications

Application of biosurfactant from Bacillus subtilis C9 for controlling cladoceran grazers in algal cultivation systems

Application of biosurfactant from Bacillus subtilis C9 for controlling cladoceran grazers in algal cultivation systems

Generalised Linear Models for Prediction of Dissolved Oxygen in a Waste Stabilisation Pond

Modeling the impact of rotifer contamination on microalgal production in open pond, photobioreactor and thin layer cultivation systems

Contact Info

Product

Resources

About