Modeling of Algae Dynamics in the Meiliang Bay of Taihu Lake and Local Sensitivity Analysis of Model Parameters
文献类型:会议论文
作者 | Li, Zhijie; Chen, Qiuwen; Xu, Qiang![]() |
出版日期 | 2013 |
会议名称 | 35th World Congress of the International-Association-for-Hydro-Environment-Engineering-and-Research (IAHR) |
会议日期 | SEP 08-13, 2013 |
会议地点 | Chengdu, PEOPLES R CHINA |
关键词 | Algae dynamic Delft3D-BLOOM Local sensitivity analysis Morris screening method |
英文摘要 | An algae dynamics model for Meiliang Bay of Taihu Lake is developed using Delft3D-BLOOM and the water quality and phytoplankton data collected from four stations in the bay in 2010. The concentration of blue-green algae, green algae and freshwater diatom are simulated by the model. The Morris screening method is used to analyze the local sensitivity for blue-green algae. Model parameters in six categories are included: growth rate at 0 degrees C, mortality rate at 0 degrees C, maintenance respiration rate at 0 degrees C, temperature coefficient for growth, temperature coefficient for mortality and temperature coefficient for maintenance respiration. The biomass of blue-green algae is most sensitive to the parameters related to the growth rate and mortality rate. The interactions between blue-green algae and green algae are stronger than that with freshwater diatom. The sensitivity of Energy-type parameters is higher than those of Nitrogen-type and Phosphorus-type parameters for each of the species. Through this research, the key parameters that influence the model result most are identified, and it provides a basis for the use of this model in main Taihu Lake. |
源URL | [http://ir.rcees.ac.cn/handle/311016/24577] ![]() |
专题 | 生态环境研究中心_环境水质学国家重点实验室 |
推荐引用方式 GB/T 7714 | Li, Zhijie,Chen, Qiuwen,Xu, Qiang. Modeling of Algae Dynamics in the Meiliang Bay of Taihu Lake and Local Sensitivity Analysis of Model Parameters[C]. 见:35th World Congress of the International-Association-for-Hydro-Environment-Engineering-and-Research (IAHR). Chengdu, PEOPLES R CHINA. SEP 08-13, 2013. |
入库方式: OAI收割
来源:生态环境研究中心
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