海岸带信息集成与战略规划研究中心知识库

中国科学院烟台海岸带研究所; 中国科学院研究生院; 国家海洋局; 青岛环海海洋工程勘察研究院;  

根据俚岛镇海湾22个海洋观测点的水质监测数据,依据人工神经网络与模糊理论,建立模糊神经网络模型,对研究区海水水质进行了综合评价。结果表明,区域内40,91%的采样点属于Ⅰ类海水水质标准,其余为Ⅱ类海水水质。其中,水质Ⅱ类区位于临络湾与俚岛湾的半封闭海域,因该区造船业对水体造成污染且海水对流强度较弱,不利于污染物的扩散; 而海水水质Ⅰ类区域靠近黄海,工业活动较少,水体对流较强,利于污染物扩散。  

In this study,with 22 water quality data from sampling sites of Lidaozhen Bay,the quality of sea water based on fuzzy neural network was assessed.The results show that 40.91%of the samples belong to classⅠwater quality standard and others belong to classⅡ.The classⅡregion lies in the semi-closed sea in the Linluo Bay and the Lidao Bay.In these areas,pollutants from shipbuilding industry and the weak convection of water are the main reasons for the pollution.But in water quality classⅠregion,there are less...