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淀山湖总氮和总磷的时空模拟分布
引用本文:卢嘉,李小平,陈小华.淀山湖总氮和总磷的时空模拟分布[J].环境监测管理与技术,2010,22(6):32-38.
作者姓名:卢嘉  李小平  陈小华
作者单位:[1]东华大学环境工程与科学学院,上海200051 [2]华东师范大学河口海岸学国家重点实验室,上海200062 [3]上海市环境科学研究院,上海200233
基金项目:"十一五"水专项我国湖泊富营养化控制标准应用研究基金资助项目
摘    要:为了解氮磷在淀山湖的时空分布特征及变化规律,运用ELCOM-CAEDYM耦合模块分析了2008年淀山湖总氮和总磷浓度的时空变异。研究表明:模型较好地模拟了淀山湖上覆水中的总氮、总磷的时空分布,总氮、总磷质量浓度总体变化趋势与实测值相一致。淀山湖春冬季总氮的质量浓度要明显高于夏秋季,3月份是淀山湖总氮质量浓度最高的时候,千墩港是淀山湖总氮质量浓度最高的区域。淀山湖总磷的分布并未表现出季节上的规律性,空间分布整体呈现北高南低的趋势。

关 键 词:淀山湖  总氮  总磷  时空分布  三维水动力和水生态动力耦合模型

Temporaland SpatialDistribution ofTotalNitrogen and TotalPhosphorusin Dianshan Lake
LU Jia,LI Xiao-ping,CHEN Xiao-hua.Temporaland SpatialDistribution ofTotalNitrogen and TotalPhosphorusin Dianshan Lake[J].The Administration and Technique of Environmental Monitoring,2010,22(6):32-38.
Authors:LU Jia  LI Xiao-ping  CHEN Xiao-hua
Institution:1.College of Environmental Engineering and Science,Donghua University,Shanghai 200051,China;2.East China Normal University,Estuary and Coast of State Key Laboratory,Shanghai 200062,China;3.Shanghai Environmental Sciences Institute,Shanghai 200233,China)
Abstract:Variance of nitrogen and phosphorous concentrations at the year of 2008 were analyzed by using the ELCOM-CAEDYM model in Dianshan Lake to find temporal and spatial distribution and characteristics of nitrogen and phosphorous change in the Lake water.The results indicated that the model was suitable to simulate fluctuation of TN and TP concentrations in the overlying water.The results simulated by the model were basically consistent to those of measured data.The average concentration of total nitrogen was higher in spring and winter than that in summer and autumn,and the average concentration of total nitrogen in March was highest of all years.The average concentration of total nitrogen in Qiandun harbor was highest in Dianshan Lake area.Phosphorus distribution of Dianshan Lake did not show seasonal change and the phosphorus concentration in the north lake was higher than that of the south lake.
Keywords:Dianshan Lake  Total nitrogen  Total phosphorus  Temporal and spatial distribution  ELCOM-CAEDYM model
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