Abstract
The urban landscape water areas are vulnerable to cyanobacterial blooms. However, current cyanobacteria removal equipment is unsuitable for urban landscape water due to its large size, high energy consumption, and complex operation. Therefore, the present study aims to design and optimize a novel cyanobacterial control system for urban water areas using FLUENT simulation software, as well as to construct the cyanobacterial removal module and assess its effectiveness based on the optimized parameters. The results showed increases in the velocity distribution uniformity index (γv) and the cyanobacterial concentration distribution uniformity index (γm) by 30% and 52.9%, respectively, following the addition of the water distributor. In addition, the γv and γm values were first decreased and then increased with increasing the diversion bin lengths, reaching an optimal value at a diversion bin length of 160 mm. On the other hand, the lowest distortion parameter (K) value was observed using the 300-mesh filter bag, indicating the best uniformity of the filter surface. The optimized parameter-based removal module can effectively remove different cyanobacteria bloom levels. Indeed, the removal efficiency was proportional to the severity of the cyanobacteria bloom. Furthermore, the removal rate was increased by increasing the rotation speed of the removal module, resulting in a shorter operation time. The cyanobacterial control system can be applied to control cyanobacterial blooms in urban landscape water areas.
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Acknowledgements
This project was supported by 2020 scientific research plan of Wuhan Municipal Construction Group Co., Ltd (wszky202014) and Guangdong Water Conservancy Science and Technology Innovation Project (2020-01).
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Y.H. took part in conceptualization, validation, resources, funding acquisition; X.D. involved in methodology, investigation, validation, formal analysis, visualization, writing—original draft preparation; Y.L. took part in writing—original draft preparation, and writing—review & editing; Z.F. involved in resources; B.Z. took part in conceptualization and visualization; Y.X. involved in conceptualization; W.Y. involved in validation; W.W. took part in investigation; K.L. involved in validation; W.X. took part in data curation and funding acquisition.
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Huang, Y., Du, X., Leng, Y. et al. A novel cyanobacterial control system design for urban landscape water based on flow field simulation. Int. J. Environ. Sci. Technol. 20, 9911–9920 (2023). https://doi.org/10.1007/s13762-022-04574-1
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DOI: https://doi.org/10.1007/s13762-022-04574-1