Swinburne University of Technology, Hawthorn, Melbourne VIC 3122, Australia.
Water Sci Technol. 2009;60(10):2599-611. doi: 10.2166/wst.2009.632.
A numerical model was developed to simulate water quality and algal species composition in a deep lake. As artificial destratification is widely used in the lakes, a destratification (bubble plume) model was incorporated with the ecological model to simulate the dynamic responses of different species under artificial mixing. The ecological model predicts concentrations of PO(4)-P, NH(4)-N, NO(3)-N, DO and pH throughout the water column, all of which have a significant influence on the growth of different algal species. The model has been calibrated using data from Uokiri Lake (Japan) for two different species (Diatom and Cyanobacteria) with and without artificial mixing. The calibrated model was used to simulate different conditions of artificial mixing within the lake over a period of five months. The simulation results show that artificial mixing favors non-motile heavier species, such as Diatom, while preventing the growth of Blue-green algae. It is also demonstrated that intermittent operation of the artificial mixing is better for water quality amelioration than continuous operation.
建立了一个数值模型来模拟深湖中水质和藻类物种组成。由于人工分层是在湖泊中广泛应用的,因此将分层(气泡羽流)模型与生态模型相结合,以模拟人工混合下不同物种的动态响应。生态模型预测整个水柱中的 PO(4)-P、NH(4)-N、NO(3)-N、DO 和 pH 的浓度,这些都对不同藻类物种的生长有重要影响。该模型使用日本宇喜利湖(Uokiri Lake)的数据进行了校准,这些数据涉及有无人工混合的两种不同物种(硅藻和蓝藻)。使用校准后的模型模拟了五个月内湖泊内不同的人工混合条件。模拟结果表明,人工混合有利于非运动性较重的物种,如硅藻,同时防止蓝藻的生长。还表明,人工混合的间歇操作比连续操作更有利于水质改善。