Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition  被引量:5

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

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作  者:任春涛 李畅游 贾克力 张生 李卫平 曹有玲 

机构地区:[1]Inner Mongolia Agricultural University,Huhhot 010018, China [2]Inner Mongolia Power Exploration & Design Institute,Huhhot 010020, China [3]Inner Mongolia Survey & Design Institute of Water Conservancy & Hydropower,Huhhot 010020, China

出  处:《Chinese Journal of Oceanology and Limnology》2008年第3期339-344,共6页中国海洋湖沼学报(英文版)

基  金:Supported by the National Natural Science Foundation of China (No.50269001, 50569002, 50669004);Natural Science Foundation of Inner Mongolia (No.200208020512, 200711020604);The Key Scientific and Technologic Project of the 10th Five-Year Plan of Inner Mongolia (No.20010103)

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.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.

关 键 词:transitive closure method ISODATA clustering algorithm fuzzy pattern recognition method partitioning of water quality 

分 类 号:X824[环境科学与工程—环境工程]

 

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