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Author:

Li, Hao (Li, Hao.) | Wang, Jiaqi (Wang, Jiaqi.) | Zhang, Enze (Zhang, Enze.) | Shao, Yanan (Shao, Yanan.) | Yang, Lin (Yang, Lin.) | Yang, Baiheng (Yang, Baiheng.) | Tan, Yi (Tan, Yi.) | Gao, Ting (Gao, Ting.)

Indexed by:

EI Scopus SCIE

Abstract:

Measures based on concurrent alterations of an environment's physical, chemical, and biological factors are commonly adopted to control harmful algal blooms (HABs). It was postulated that the combinations and interactions of multiple measures could exert cumulative effects (as the overall effect may or may not be equal to the additive sum for each measure individually). However, few studies have further assessed whether the cumulative effect is synergistic, additive, or antagonistic. This study proposed a framework to distinguish and quantify the cumulative effects. We also designed an experiment to investigate the cumulative effect of the combined utilization of physical (flow velocity), chemical (copper), and biological (propionamide) measures on algae growth inhibition. The results show that the cumulative effect of physical and chemical measures on algae growth inhibition was antagonistic; the cumulative effect of physical and biological measures was antagonistic; the cumulative effect of chemical and biological measures was synergistic, and the cumulative effect of all the measures together tended to be antagonistic. These results showed that the synergistic interactions between chemical and biological measures produced antagonistic effects when physical measures were added. Through response surface methodology analysis, we also found that the physical factor was the most significant factor affecting the cumulative effect, followed by the chemical factor and then the biological factor. Our results provide a more detailed understanding of the interaction patterns among multiple measures that affect algal growth. Importantly, this understanding can be further integrated into future strategy development to fully exploit the potential of the cumulative effect at its maximum performance.

Keyword:

cumulative effect harmful algal blooms growth inhibition response surface methodology

Author Community:

  • [ 1 ] [Li, Hao]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 2 ] [Wang, Jiaqi]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 3 ] [Shao, Yanan]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 4 ] [Yang, Lin]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 5 ] [Yang, Baiheng]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 6 ] [Tan, Yi]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 7 ] [Gao, Ting]Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
  • [ 8 ] [Zhang, Enze]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China

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Source :

WATER

Year: 2022

Issue: 6

Volume: 14

3 . 4

JCR@2022

3 . 4 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:47

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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