Distribution of Chironomidae (Insecta: Diptera) in polluted rivers of the JuruRiver Basin, Penang, Malaysia

An adaptive neuro fuzzy inference system was used for classifying water quality status of river. It applied several physical andinorganic 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 validatingthe model. Up to 89.59% of the data could be correctly classified using this model. Such performance was more competitive whencompared with artificial neural networks. It is applicable in evaluation and classification of water quality status.