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太湖藻类生长模型研究
引用本文:许秋瑾,秦伯强,陈伟民,陈宇炜,高光. 太湖藻类生长模型研究[J]. 湖泊科学, 2001, 13(2): 149-157
作者姓名:许秋瑾  秦伯强  陈伟民  陈宇炜  高光
作者单位:中国科学院南京地理与湖泊研究所;中国科学院南京地理与湖泊研究所;中国科学院南京地理与湖泊研究所;中国科学院南京地理与湖泊研究所;中国科学院南京地理与湖泊研究所
基金项目:中国科学院知识创新项目“太湖流域水环境预警”(KZCX2 - 31),中科院“九五”重点项目 (KZ95 2 -S1- 2 2 0 )和(KZ95 2 -J1- 2 2 1)
摘    要:本文提出了一改进的藻类生长模型及其新颖的计算机模拟算法,该模型不但考虑了不温、总氮、总氮、总磷、浮游动物的辐射等因素对藻类生长率的影响,而且根据水量,总磷和藻类浓度等因素对藻类死亡率进行了修正和计算精度至关重要的,因此,本文建立了具有绝对稳定性和二阶精度的数值算法求解藻类生长模型中的偏微分方程组,此外,为了进一步验证该藻类生长模型的实测值进行模拟,由于实测值为每个月中某一天的测量值,为了模拟过程能正确进行,本文采用样条插值的方法估计出每用插值等方法,本文提出了一种广义拟结果与测量数据基本符合,而在有明显的差异的地方,文中作出了相应的解释,结果表明,本文提出了藻类生长模型及其算法是有效的,各采样点藻类浓度的模拟值能较好地拟合实测值。

关 键 词:太湖  生长模型  生态模拟
收稿时间:2000-10-20
修稿时间:2000-10-20

Ecological Simulation of Algae Growth in Taihu Lake
XU Qiujin,QIN Boqiang,CHEN Weimin,CHEN Yuwei and GAO Guang. Ecological Simulation of Algae Growth in Taihu Lake[J]. Journal of Lake Science, 2001, 13(2): 149-157
Authors:XU Qiujin  QIN Boqiang  CHEN Weimin  CHEN Yuwei  GAO Guang
Affiliation:Nanjing Institute of Geography and Limnology Chinese Academy of Science Nanjing 210008 P. R. China,Nanjing Institute of Geography and Limnology Chinese Academy of Science Nanjing 210008 P. R. China,Nanjing Institute of Geography and Limnology Chinese Academy of Science Nanjing 210008 P. R. China,Nanjing Institute of Geography and Limnology Chinese Academy of Science Nanjing 210008 P. R. China and Nanjing Institute of Geography and Limnology Chinese Academy of Science Nanjing 210008 P. R. China
Abstract:This paper presents a modified ecological model of algae growth in Taihu Lake and its novel numerical algorithm. In this model, many important factors, such as the water temperature total nitrogen total phosphor, the biomass of the zooplankton radiation etc., are taken into account for the growth rate of the algae. Moreover, the mortality rate of the algae is considered and modified according to the value of water temperature total phosphorus and the biomass of the algae.As a result, a more accurate description of the behavior of the algae is obtained. The performance of stability and accuracy is very important for the correct simulation procedure. A numerical algorithm that has the property of absolute stability and second-order accuracy is proposed and is used to solve the partial differentialequations in the ecological model. In order to perform a further validation of the modeL the field-measured data in Taihu Lake in 1998 are adopted in the simulation, Because only one set of the field-measured data per month i. e., total twelve sets of data are available estimated data of every day are required to perform the simulation correctly, In this paper the estimated data of the water temperature total nitrogen the biomass of the zooplankton and radiation are obtained by interpolation method, In the ecological model there is a direct coupling between the algae and totalphosphorus; therefore the estimated data of phosphorus can not be obtained by simple interpolation, A generalized fitting method is then developed to solve this problem. With this method, the characteristic of the totalphosphorus obeys the ecological model, Meanwhile the values of the simulated total phosphorus are approached to the field-measured data optimally. Basically, the simulated results fairly agree with the field-measured results.Explanations are given to some distinct differences between the simulated results and field-measured results, It is demonstrated that the ecological model and the algorithm are reliable and efficient for the simulation of the actual ecological behavior of algae.
Keywords:Taihu Lake   growth model   ecological simulaton
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