College of Hydrometeorology, Nanjing University of Information Science and Technology, 219 Ningliu Rd, Nanjing, 210044, China.
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, 219 Ningliu Rd, Nanjing, 210044, China.
Environ Sci Pollut Res Int. 2018 Aug;25(24):24316-24325. doi: 10.1007/s11356-018-2204-y. Epub 2018 Jun 14.
In this study, water temperature and meteorological data in Lake Taihu from June 11 to July 6, 2013, are collected to calibrate and verify the unstructured grid finite-volume community ocean model (FVCOM) coupled with a heat exchange module. The spatial and temporal variations of potential energy anomalies (PEA) in the lake, simulated by the calibrated FVCOM, are analyzed to explore the stratification and de-stratification processes in water body. The temporal variation of PEA primarily follows the diurnal cycles of solar radiation, while the spatial heterogeneity of PEA is jointly determined by solar radiation and vertical shear of horizontal velocity coupled with the topography of the lake. The maxima of PEA in the lake are not greater than 4 J/m in the summer and even smaller along shore regions and near the Pingtaishan station. This study is helpful to improve understanding of the effect of physical processes on the algae bloom in Lake Taihu.
本研究收集了 2013 年 6 月 11 日至 7 月 6 日太湖的水温及气象数据，用于校准和验证与热交换模块耦合的非结构网格有限体积海洋模型（FVCOM）。通过校准的 FVCOM 分析了湖泊中势能异常（PEA）的时空变化，以探讨水体的分层和去分层过程。PEA 的时间变化主要遵循太阳辐射的日循环，而 PEA 的空间异质性则由太阳辐射和水平速度的垂直切变与湖泊地形共同决定。夏季，湖泊中 PEA 的最大值不超过 4 J/m，而在沿岸地区和近平台山站则更小。本研究有助于提高对物理过程对太湖藻类水华影响的认识。
