摘要
长江口东滩湿地是重要的自然保护区,该水域水质评价对保护该地区的生态环境非常重要。海水水质的评价涉及到化学需氧量、有害元素含量等多因素,本文基于T-S模糊神经网络,根据海水水质标准对2010年5月东滩湿地保护区水域的海水水质进行评价,为长江口的水生物和环境保护建立了可行的评判机制。
As the fast development of social economics,pollution accidents become more and more frequent.Yangtze estuary wetland is an important natural reserve.The seawater quality assessment of this area is very important for the protection of the reserve.However,assessing water quality concerns many criteria such as chemical oxygen demand,content of harmful elements,etc.This paper used T-S fuzzy neural network to assess seawater quality of Chinese sturgeon reserve of the Yangtze estuary wetland in spawning season（May,2010） and calculate the quantities of floating animals and plants.The analysis also set up feasible and effective mechanism of seawater quality assessment.
出处
《海洋渔业》
CSCD
北大核心
2012年第2期202-206,共5页
Marine Fisheries
