Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition

Water quality assessment for Ulansuhai Lake using

fuzzy clustering and pattern recognition

佚名

【期刊名称】《中国海洋湖沼学报（英文版）》 【年(卷),期】2008(026)003

【摘要】Water quality assessment of lakes is important to determine functional zones of water use. Considering the fuzziness during the partitioning process for lake water quality in an arid area, a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method, ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition. The model was applied to partition the Ulansuhai Lake, a typical shallow lake in arid climate zone in the west part of Inner Mongolia, China and grade the condition of water quality divisions. The results showed that the partition well matched the real conditions of the lake, and the method has been proved accurate in the application. 【总页数】6页(339-344)

【关键词】transitive closure method;ISODATA clustering algorithm;fuzzy pattern recognition method;partitioning of water quality 【作者】佚名

【作者单位】Inner Mongolia Power Exploration & Design Institute, Huhhot 010020, China;Inner Mongolia Agricultural University, Huhhot