洞庭湖水体水质状况及运用小波神经网络对营养状态的评价  

Assessment of the Water Quality and Nutrition of the Dongting Lake with Wavelet Neural Network

作　　者：曾光明[1] 卢宏玮[1] 金相灿[1] 徐敏[1] 

机构地区：[1]湖南大学环境科学与工程系,湖南长沙410082

出　　处：《湖南大学学报（自然科学版）》2005年第1期91-94,共4页Journal of Hunan University:Natural Sciences

基　　金：国家杰出青年科学基金资助项目(5042592;50225926);高等学校优秀青年教师科研奖励计划项目

摘　　要：根据近年洞庭湖水质监测数据,考虑TN,TP,COD等参数具体分析了目前洞庭湖的水质状况及变化趋势:不管是平水期还是枯水期,水体的水质状况都较差,营养水平较高;枯水期水体的水质状况呈现恶化趋势.通过深入探讨洞庭湖区水质恶化的原因,运用小波神经网络评价洞庭湖各监测点附近区域的营养状况,结果表明,目前洞庭湖的大部分区域已达到富营养化水平.由于洞庭湖周边有很多重要的生态保护区,因此洞庭湖的富营养化问题已不容忽视.最后针对洞庭湖的富营养化问题提出了相应的对策.Based on the monitoring data of the Dongting Lake in recent years, the water quality was analyzed according to some parameters such as TN,TP,COD and so on. It showed that the water quality was very bad and the nutrition was very high both in the normal period and the drought period.The reasons were discussed. A wavelet neural network (WNN) was used to assess the nutrition of the Dongting Lake and the result showed that most part of the Dongting Lake has been in eutrophication. We should not ignore the ecological protection in this region. Finally, measures have been proposed to deal with this problem.

关 键 词：洞庭湖 水质 营养状态 评价 小波神经网络 

分 类 号：X171.4[环境科学与工程—环境科学]