Key hydrodynamic principles for controlling algal blooms using emergency reservoir operation strategies

Song, Yang; You, Lihua; Chen, Min; Li, Jia; Zhang, Linglei; Tao, Peng

doi:10.1016/j.jenvman.2022.116470

Cited by 16 publications

(4 citation statements)

References 58 publications

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“…Although nutrient levels were not directly affected in this study, a complex interplay where increased water retention time can degrade water quality while simultaneously providing a conducive environment for algal proliferation was often reported. 9,42 Similar to reservoirs with a large scale, longer retention times can enhance light availability for algal populations through increased residence time near the water surface. Longer retention times also allow for extended exposure to other environmental conditions such as available nutrients, favoring algal growth.…”

Section: Acs Esandt Water Pubsacsorg/estwater Articlementioning

confidence: 99%

“…Consequently, extensive efforts have been directed toward reducing nutrient inputs into freshwater systems . While nutrient enrichment undoubtedly plays a significant role in fostering algal growth, many studies have also emphasized the critical role of other factors such as hydrodynamics, meteorological conditions, and reservoir characteristics in affecting algal growth. − Unlike other natural water bodies such as rivers or lakes, reservoirs are often influenced by manual regulation and exhibit a more complex variation in algal dynamics. The non-nutrient factors interact with nutrient dynamics and water quality characteristics, together shaping ecological niches for algal growth.…”

Section: Introductionmentioning

confidence: 99%

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Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Yin,

Lin,

et al. 2024

ACS EST Water

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This study develops a quantitative polymerase chain reaction (qPCR) method to detect four prevalent algal genera, Pseudanabaena, Cylindrospermopsis, Cryptomonas, and Limnothrixin nine drinking water reservoirs in Zhuhai, China. We examined the correlation between algal abundance and both water quality parameters and reservoir characteristics. Cryptomonas was the most abundant, with average levels at 6.76 ± 2.20 log10 copies/L, while Pseudanabaena showed the lowest at 4.93 ± 2.50 log10 copies/L. Although nutrient substances showed minimal impact, algal abundances exhibited active and substantial responses to reservoir characteristics including reservoir scale, water retention time, water supply source, and hydrological seasons. High algal abundances were significantly associated with large-scale reservoirs, long water retention time, river-fed reservoirs, and wet seasons (p < 0.05). Redundancy analysis indicated that reservoir characteristics account for 51.5% of the variation in algal abundance. This study demonstrates the effectiveness of qPCR in monitoring algal dynamics and highlights the significant role of reservoir characteristics in influencing algal blooms.

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Section: Acs Esandt Water Pubsacsorg/estwater Articlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Yin,

Lin,

et al. 2024

ACS EST Water

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“…However, the author believes that the occurrence of water bloom is the result of the interaction of the above two processes. According to statistics, many lakes [8][9][10][11][12][13], reservoirs [14][15][16][17][18][19] and rivers [20,21] are currently reported to have algal blooms. Therefore, the problem of water bloom is the main problem that has been or will be faced by most water bodies in China.…”

Section: Introductionmentioning

confidence: 99%

Prediction of hydrological and water quality data based on granular-ball rough set and k-nearest neighbor analysis

Dong,

Zuo,

Xiong

2024

PLoS ONE

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Hydrological and water quality datasets usually encompass a large number of characteristic variables, but not all of these significantly influence analytical outcomes. Therefore, by wisely selecting feature variables with rich information content and removing redundant features, it not only can the analysis efficiency be improved, but the model complexity can also be simplified. This paper considers introducing the granular-ball rough set algorithm for feature variable selection and combining it with the k-nearest neighbor method and back propagation network to analyze hydrological and water quality data, thus promoting overall and fused inspection. The results of hydrological water quality data analysis show that the proposed method produces better results compared to using a standalone k-nearest neighbor regressor.

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“…In fact, reservoirs could be considered as sinks of pollutants from all basins [6] because of wastewater discharges and river floods. Therefore, assessing water quality and hydrodynamics, the latter being more stable in reservoirs than in rivers [7,8], is an essential issue for the socioeconomic development [9] and water resource management [10].…”

Section: Introductionmentioning

confidence: 99%

Water Quality Analysis of a Tropical Reservoir Based on Temperature and Dissolved Oxygen Modeling by CE-QUAL-W2

Tavera-Quiroz

Pinto

Aguirre

et al. 2023

Water

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Water quality impacts on water bodies such as reservoirs are strongly influenced by the hydrodynamics of the system. Although multiple models might be applied, they are limited by the simplification of the variables. In this study, a two-dimensional public domain model, CE-QUAL-W2, was adapted to test whether it would generate an accurate hydrodynamic simulation of the URRÁ Reservoir in Córdoba, Colombia, to understand water quality. The variables to be modeled were temperature and dissolved oxygen due to their importance in ecological terms. Thus, trial and error techniques were used to calibrate and validate the model, varying different parameters such as the wind shelter coefficient (WSC). Although the model accurately predicted the hydrodynamic part by having daily flow information, significant modifications to the eddy diffusivity coefficient were required to simulate acceptable longitudinal currents. This research shows that the CE-QUAL-W2 model fits adequately to tropical lentic systems. However, it is recommended that, for future studies, the modeling be adjusted using hourly data, especially in areas where inflow and boundary conditions are unstable.

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Key hydrodynamic principles for controlling algal blooms using emergency reservoir operation strategies

Cited by 16 publications

References 58 publications

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Prediction of hydrological and water quality data based on granular-ball rough set and k-nearest neighbor analysis

Water Quality Analysis of a Tropical Reservoir Based on Temperature and Dissolved Oxygen Modeling by CE-QUAL-W2

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