%0 Journal Article %T Distribution of Chironomidae (Insecta: Diptera) in polluted rivers of the Juru River Basin, Penang, Malaysia
%A Salman AAl-Shami %A Che Salmah Md Raw %A Abu HassanAhmad %A Siti Azizah Mohd Nor %A
%J 环境科学学报(英文版) %D 2010 %I %X An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical and inorganic chemical indicators including dissolved oxygen, chemical oxygen demand, and ammonia-nitrogen. A data set (nine weeks, total 845 observations) was collected from 100 monitoring stations in all major river basins in China and used for training and validating the model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive when compared with artificial neural networks. It is applicable in evaluation and classification of water quality status. %K chironomid larvae %K Juru River %K physicochemical parameters %K canonical correspondence analysis
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=A7CA601309F5FED03C078BCE383971DC&jid=6CB1530875F53489BF1E81BD87B7F5E6&aid=82B168D71B938A5160AFF755098E26F6&yid=140ECF96957D60B2&vid=BC12EA701C895178&iid=708DD6B15D2464E8&sid=A5884B9A69EE562A&eid=6C6096522A30D0B8&journal_id=1001-0742&journal_name=Journalofenvironmentalsciences(China)&referenced_num=1&reference_num=0