Response of current, temperature, and algae growth to thermal discharge in tidal environment

Y.J. Zhao, L. Zeng, A.L. Zhang and Y.H. Wu

Ecological Modelling, 2015, vol. 318, issue C, 283-292

Abstract: This paper is a numerical analysis on response of current, temperature, and algae growth to thermal discharge in tidal environment. Three-dimensional distribution of current, temperature, and dimensionless specific growth rate of Nannochloropsis oceanica was simulated, based on realizable k−ϵ model for turbulence closure, and a light-inhibition model for prediction of algae growth. Numerical results of temperature are in good agreement with experimental observations. Numerical results show that vertical position of trajectory, maximum velocity, and minimum dilution are subject to the distribution of power function for near field with distance to injector less than jet-penetrating length. The power exponent is a function of time for the vertical position of trajectory, while it keeps constant for the maximum velocity and minimum dilution. Numerical results also show that the dimensionless specific growth rate of N. oceanica does not change with temperature rise monotonously, which implies that the distribution of temperature rise may not reflect to what extent does thermal discharge influence algae growth. The amplitude and phase of the dimensionless specific growth rate of N. oceanica change in the vertical direction, even for uniform and constant pH, nutrient concentration, and dissolved oxygen concentration.

Keywords: Algae growth; Thermal discharge; Nannochloropsis oceanica; Tidal flow; Ecological risk assessment (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380014006140
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:318:y:2015:i:c:p:283-292

DOI: 10.1016/j.ecolmodel.2014.12.008

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().