Chen, Y., Lin, W., Zhu, J. et al. Numerical simulation of an algal bloom in Dianshan Lake., Chin. J. Ocean. Limnol. 34, 231–244 (2016). https://doi.org/10.1007/s00343-015-4298-0
DOI:
Chen, Y., Lin, W., Zhu, J. et al. Numerical simulation of an algal bloom in Dianshan Lake., Chin. J. Ocean. Limnol. 34, 231–244 (2016). https://doi.org/10.1007/s00343-015-4298-0DOI:
Numerical simulation of an algal bloom in Dianshan Lake
摘要
Abstract
A hydrodynamic model and an aquatic ecology model of Dianshan Lake
Shanghai
were built using a hydrodynamic simulation module and the water quality simulation module of Delft3D
which is an integrated modelling suite offered by Deltares. The simulated water elevation
current velocity
and direction were validated with observed data to ensure the reliability of hydrodynamic model. The seasonal growth of different algae was analyzed with consideration of observed and historical data
as well as simulated results. In 2008
the dominant algae in Dianshan Lake was Bacillariophyta from February to March
while it was Chlorophyta from April to May
and Cyanophyta from July to August. In summer
the biomass of Cyanophyta grew quickly
reaching levels much higher than the peaks of Bacillariophyta and Chlorophyta. Algae blooms primarily occurred in the stagnation regions. This phenomenon indicates that water residence time can influence algal growth significantly. A longer water residence time was associated with higher algal growth. Two conclusions were drawn from several simulations: reducing the nutrients inflow had little effect on algal blooms in Dianshan Lake; however
increasing the discharge into Dianshan Lake could change the flow field characteristic and narrow the range of stagnation regions
resulting in inhibition of algal aggregation and propagation and a subsequent reduction in areas of high concentration algae.
关键词
Keywords
references
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