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Article

Nonlinear Water Quality Response to Numerical Simulation of In Situ Phosphorus Control Approaches

1
College of Environmental Science and Engineering, Peking University, Beijing 100871, China
2
Nanjing Innowater Co. Ltd., Nanjing 210012, China
3
Beijing Inteliway Environmental Sci. & Tech. Ltd., Beijing 100085, China
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Rays Computational Intelligence Lab (RCIL), Beijing 100085, China
*
Authors to whom correspondence should be addressed.
Academic Editor: George Arhonditsis
Water 2021, 13(5), 725; https://doi.org/10.3390/w13050725
Received: 26 January 2021 / Revised: 25 February 2021 / Accepted: 4 March 2021 / Published: 7 March 2021
The nonlinear and heterogeneous responses of nutrients to eutrophication control measures are a major challenge for in situ treatment engineering design, especially for large water bodies. Tackling the problem calls for a full understanding of potential water quality responses to various treatment schemes, which cannot be fulfilled by empirical-based methods or small-scale tests. This paper presents a methodology for Phoslock application based on the idea of object-oriented intelligent engineering design (OOID), which includes numerical simulation to explore the features of responses to numerous assumed schemes. A large plateau lake in Southwestern China was employed as a case study to illustrate the characteristics of the water quality response and demonstrate the applicability of this new approach. It was shown by the simulation and scenario analysis that the water quality response to Phoslock application always reflected nonlinearity and spatiotemporal heterogeneity, and always varied with objects, boundary conditions, and engineering design parameters. It was also found that some design parameters, like release position, had a significant impact on efficiency. Thus, a remarkable improvement could be obtained by cost-effective analysis based on scenarios using combinations of design parameters. View Full-Text
Keywords: nonlinear; intelligent design; scenario analysis; eutrophication; phosphorus; Phoslock nonlinear; intelligent design; scenario analysis; eutrophication; phosphorus; Phoslock
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MDPI and ACS Style

Zhang, B.; Lin, N.; Chen, X.; Fan, Q.; Chen, X.; Ren, T.; Zou, R.; Guo, H. Nonlinear Water Quality Response to Numerical Simulation of In Situ Phosphorus Control Approaches. Water 2021, 13, 725. https://doi.org/10.3390/w13050725

AMA Style

Zhang B, Lin N, Chen X, Fan Q, Chen X, Ren T, Zou R, Guo H. Nonlinear Water Quality Response to Numerical Simulation of In Situ Phosphorus Control Approaches. Water. 2021; 13(5):725. https://doi.org/10.3390/w13050725

Chicago/Turabian Style

Zhang, Baichuan, Ningya Lin, Xi Chen, Qiaoming Fan, Xing Chen, Tingyu Ren, Rui Zou, and Huaicheng Guo. 2021. "Nonlinear Water Quality Response to Numerical Simulation of In Situ Phosphorus Control Approaches" Water 13, no. 5: 725. https://doi.org/10.3390/w13050725

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