Numerical simulation of an algal bloom in Dianshan Lake

Yizhong Chen; Weiqing Lin; Jianrong Zhu; Shiqiang Lu

doi:10.1007/s00343-015-4298-0

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Numerical simulation of an algal bloom in Dianshan Lake

OriginalPaper | Updated：2023-05-16

- Numerical simulation of an algal bloom in Dianshan Lake
- Numerical simulation of an algal bloom in Dianshan Lake
- 海洋湖沼学报（英文） 2016年34卷第1期页码：231-244
- Affiliations：
  
  1. State Key Laboratory of Estuarine and Coastal Research East China Normal University
  2. Shanghai Academy of Environmental Sciences
- Author bio：
- Funds：
  
  Supported by the Shanghai Municipal Science and Technology Commission (No. 08DZ1203000)
- DOI：10.1007/s00343-015-4298-0
  中图分类号：
- 网络首发：2015-06-04，
  
  纸质出版：2016
- Accepted：
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Numerical simulation of an algal bloom in Dianshan Lake[J]. 海洋湖沼学报（英文）, 2016,34(1):231-244.

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
Numerical simulation of an algal bloom in Dianshan Lake[J]. 海洋湖沼学报（英文）, 2016,34(1):231-244. DOI： 10.1007/s00343-015-4298-0.

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：

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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