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Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
作者姓名:任春涛  李畅游  贾克力  张生  李卫平  曹有玲
作者单位:[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
基金项目:国家自然科学基金,内蒙古自然科学基金,内蒙古科技攻关项目
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.

关 键 词:水质评估    模糊簇算法  湖泊研究

Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
Chuntao?Ren,Changyou?Li,Keli?Jia,Sheng?Zhang,Weiping?Li,Youling?Cao.Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition[J].Chinese Journal of Oceanology and Limnology,2008,26(3):339-344.
Authors:Chuntao Ren  Changyou Li  Keli Jia  Sheng Zhang  Weiping Li  Youling Cao
Institution:(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
Abstract: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.
Keywords:transitive closure method  ISODATA clustering algorithm  fuzzy pattern recognition method  partitioning of water quality
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