Algal community analysis in a waste stabilisation pond

Pham, Duy Tan; Everaert, Gert; Janssens, Natascha; Alvarado, Andrés; Goethals, Peter

doi:10.1016/j.ecoleng.2014.09.046

Cited by 26 publications

(15 citation statements)

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“…25 Also, the results of the optimized maximum specific growth rates indicated a higher value for Chlorella compared with Scenedesmus. This was not expected since it was found in Pham et al 10 that both species were abundant to a similar extent in the pond. However, the optimized values in this research are the maximum growth rates for autotrophic growth.…”

Section: Discussionmentioning

confidence: 64%

“…This WSP treats the municipal wastewater from 400 000 inhabitants of the city. Two of the most dominant microalgal species in the WSP were Chlorella and Scenedesmus . Therefore, these species were used during the experiments.…”

Section: Introductionmentioning

confidence: 99%

“…Two of the most dominant microalgal species in the WSP were Chlorella and Scenedesmus. 10 Therefore, these species were used during the experiments. In particular, the effect of light intensity and temperature was assessed.…”

Section: Introductionmentioning

confidence: 99%

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Model based analysis of the growth kinetics of microalgal species residing in a waste stabilization pond

Decostere

Alvarado

Sánchez

et al. 2016

J of Chemical Tech & Biotech

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BACKGROUND In this study the growth kinetics of Chlorella and Scenedesmus, isolated from a Waste Stabilization Pond were investigated under different conditions of light intensity and temperature. Experimental data were collected by means of a combined respirometric and titrimetric set‐up and used to extend a mathematical model. RESULTS The experimental results illustrated the interdependent relationship of light intensity and temperature, which had a significant influence on the microalgal growth. Consequently, a previously developed model was extended with a mathematical function that describes this relationship. The maximum specific growth rate and oxygen mass transfer coefficient were considered for model calibration. The optimized parameter values for Chlorella were μmax = 0.56 ± 0.0008 d−1 and KLa = 10.02 ± 0.02 d−1. For Scenedesmus, the optimized parameter values were μmax = 0.19 ± 0.0004 and KL a = 7.71 ± 0.004 d−1. The model with optimized parameter settings described the dissolved oxygen production (derived from the respirometric data) and the related proton consumption (derived from the titrimetric data) reasonably well for both microalgal species. The threshold value for Theil's Inequality Coefficient of 0.3 was never exceeded. In addition, model validation for both species was performed indicating good correspondence between model prediction and experimental values. CONCLUSIONS Based on the experimental observations, a previously developed mathematical model was extended with a function that describes the interaction between light intensity and temperature. After model calibration a difference in maximum specific growth rate between the two microalgal species was observed. This might be explained by differences in cell metabolism. © 2016 Society of Chemical Industry

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Section: Discussionmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

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Model based analysis of the growth kinetics of microalgal species residing in a waste stabilization pond

Decostere

Alvarado

Sánchez

et al. 2016

J of Chemical Tech & Biotech

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“…Estas generan efluentes que pueden utilizarse para el reciclaje de nutrientes en la agricultura ó la recuperación de suelos [3]. Su diseño, favorece el desarrollo de una amplia variedad de microorganismos y procesos físicos, químicos y biologicos [4] que al interrelacionarse favorecen la depuración de las aguas contaminadas [5]. A pesar de sus ventajas, una de sus deficiencias más importante, es la elevada concentración de sólidos suspendidos (SS) en el efluente [6].…”

Section: Introductionunclassified

Modelo CFD para caracterizar el transporte del retardante de llama BDE 99 en una laguna facultativa usada para el tratamiento de aguas residuales municipales

Rivera

Varón

2020

Rev. Téc. Ing. Univ. Zulia.

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A CFD-3D model was built to represent the BDE 99 flame retardant transport, in a facultative lagoon of surface area 83,22 m2, depth 1,48 m and hydraulic retention time of 3,99 days. The model included a mixture of water, suspended solids, and retardant. It was built using ANSYS Inc. Fluent® (V.16.1). The results were validated with a study of tracers, accuracy test and experimental data of retardant concentration. The experimental concentration of flame retardant in the effluent was modeled with a 74 % of accuracy and correctly predicts the tracer´s peak of maximum concentration time of appearance (2h). The absolute mean deviation and the relative mean deviation showed relative errors between the model and the experimental data of 2% and 11% respectively. The sum of the squared errors for the model and the experimental data were 0.130 and 0.390 respectively. The results showed that the model accurately represents fluid velocity in the field, the concentration profile and transport phenomenon of the flame-retardants in these treatment systems, with the model, design improvements that optimize the elimination of these organic compounds in this treatment system could be evaluated.

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“…The spatial variation of oxygen is associated with the change in algal community composition and distribution between different ponds and different locations within each individual pond [9]. Pham et al [10] observed higher values of algal abundance, richness and diversity in maturation ponds (MPs) compared to FPs and lower biovolumes of motile algal species in the inlet compared to the outlet of Ucubamba WSP system in Cuenca (Ecuador). Furthermore, as a result of light attenuation, the algal photosynthesis in FPs can locate only at 20-30 cm from the water surface while that value is around 60 cm for clear and less turbid MPs [11].…”

Section: Introductionmentioning

confidence: 99%

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

Pham

Echelpoel

et al. 2018

Water

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Dissolved oxygen is an essential controlling factor in the performance of facultative and maturation ponds since both take many advantages of algal photosynthetic oxygenation. The rate of this photosynthesis strongly depends on the time during the day and the location in a pond system, whose roles have been overlooked in previous guidelines of pond operation and maintenance (O&M). To elucidate these influences, a linear mixed effect model (LMM) was built on the data collected from three intensive sampling campaigns in a waste stabilization pond in Cuenca, Ecuador. Within two parallel lines of facultative and maturation ponds, nine locations were sampled at two depths in each pond. In general, the output of the mixed model indicated high spatial autocorrelations of data and wide spatiotemporal variations of the oxygen level among and within the ponds. Particularly, different ponds showed different patterns of oxygen dynamics, which were associated with many factors including flow behavior, sludge accumulation, algal distribution, influent fluctuation, and pond function. Moreover, a substantial temporal change in the oxygen level between day and night, from zero to above 20 mg O 2 ·L −1 , was observed. Algal photosynthetic activity appeared to be the main reason for these variations in the model, as it was facilitated by intensive solar radiation at high altitude. Since these diurnal and spatial patterns can supply a large amount of useful information on pond performance, insightful recommendations on dissolved oxygen (DO) monitoring and regulations were delivered. More importantly, as a mixed model showed high predictive performance, i.e., high goodness-of-fit (R 2 of 0.94), low values of mean absolute error, we recommended this advanced statistical technique as an effective tool for dealing with high autocorrelation of data in pond systems.

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Algal community analysis in a waste stabilisation pond

Abstract: Este documento contiene información de prueba. Contáctese con el administrador del Centro para el acceso al documento originar del registro.

Cited by 26 publications

References 24 publications

Model based analysis of the growth kinetics of microalgal species residing in a waste stabilization pond

Model based analysis of the growth kinetics of microalgal species residing in a waste stabilization pond

Modelo CFD para caracterizar el transporte del retardante de llama BDE 99 en una laguna facultativa usada para el tratamiento de aguas residuales municipales

A Closer Look on Spatiotemporal Variations of Dissolved Oxygen in Waste Stabilization Ponds Using Mixed Models

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