摘要
根据2005年2、5、8、11月4个季度月的调查资料,利用人工神经网络模型对长江口及其邻近海域的营养水平进行评价,并结合2004年研究结果,比较2个年度富营养化程度。结果表明,2个年度中5和8月均有超过70%的站位评价结果为中营养型和富营养型;而2和11月均有超过40%的站位呈现中营养型和贫营养型。无论从范围还是站位的多少上来看,2005年富营养化程度都比2004年严重;2004年从2到11月富营养化程度依次为5、8、11、2月;而2005年则是5、8、2、11月。富营养化高发季节均为春季的5月。
Based on the four months＇ investigations in 2005, and used the artificial neural network to assess eutrophication of the Yangtze River Estuary and its adjacent waters, this study aimed to integrate the research results in 2004, and compare the extent of eutrophication in the two years. The results showed that over 70% sample stations in May and August of both two years were mesotrophy and eutrophication; and over 40% sample stations in February and November were mesotrophy and oligotrophy in both years. It was more serious in 2005 than 2004, not only the sample stations of eutrophication, but also the extension of it ; the eutrophication extent in 2004 from February to November were May, August, November and February; and in 2005 were May, August, February and November. The high incidence season of eutrophication was May in spring.
出处
《安徽农业科学》
CAS
北大核心
2009年第6期2696-2699,2720,共5页
Journal of Anhui Agricultural Sciences
基金
中国科学院知识创新工程重要方向项目(KZCX3-SW-232)资助
国家自然科学重点基金(50339040)资助
国务院三峡工程建设委员会资助项目(SX2004-010)资助
关键词
长江口
富营养化
人工神经网络
评价
比较
Yangtze River Estuary
Eutrophication
Artificial neural network
Assessment
Comparison
