Coastal Water Quality Assessment by Self-Organizing Map

Abstract： A new approach to coastal water quality assessment was put forward through study on self-organizing map (SOM). Firstly, the water quality data of Bohai Bay from 1999 to 2002 were prepared. Then, a set of software for coastal water quality assessment was developed based on the batch version algorithm of SOM and SOM toolbox in MATLAB environment. Furthermore, the training results of SOM could be analyzed with single water quality indexes, the value of N: P( atomic ratio) and the eutrophication index E so that the data were clustered into five different pollution types using k-means clustering method. Finally, it was realized that the monitoring data serial trajectory could be tracked and the new data be classified and assessed automatically. Through application it is found that this study helps to analyze and assess the coastal water quality by several kinds of graphics, which offers an easy decision support for recognizing pollution status and taking corresponding measures. 作 者： NIU Zhiguang    ZHANG Hongwei    ZHANG Ying   作者單位： NIU Zhiguang,ZHANG Hongwei(School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China)

ZHANG Ying(College of Environment Science and Engineering, Nankai University, Tianjin 300071, China) 

期 刊： 天津大學(xué)學(xué)報(bào)（英文版）  EI   Journal： TRANSACTIONS OF TIANJIN UNIVERSITY  年，卷(期)： 2005, 11(6)  分類(lèi)號(hào)： X8  Keywords： self-organizing map ( SOM )    coastal marine    water quality assessment    pollution types   

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