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

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...

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Published inChinese journal of oceanology and limnology Vol. 26; no. 3; pp. 339 - 344
Main Authors Ren, Chuntao, Li, Changyou, Jia, Keli, Zhang, Sheng, Li, Weiping, Cao, Youling
Format Journal Article
LanguageEnglish
Published Heidelberg SP Science Press 01.08.2008
Springer Nature B.V
Inner Mongolia Survey & Design Institute of Water Conservancy & Hydropower, Huhhot 010020, China
Subjects
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ISSN0254-4059
2096-5508
1993-5005
2523-3521
DOI10.1007/s00343-008-0339-2

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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.
AbstractList P7; 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.
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. [PUBLICATION ABSTRACT]
Author Li, Changyou
Zhang, Sheng
Ren, Chuntao
Li, Weiping
Jia, Keli
Cao, Youling
AuthorAffiliation Inner Mongolia Survey & Design Institute of Water Conservancy & Hydropower, Huhhot 010020, China
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partitioning of water quality
ISODATA clustering algorithm
fuzzy pattern recognition method
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Snippet Water quality assessment of lakes is important to determine functional zones of water use. Considering the fuzziness during the partitioning process for lake...
P7; Water quality assessment of lakes is important to determine functional zones of water use. Considering the fuzziness during the partitioning process for...
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SubjectTerms Algorithms
Arid climates
Aridity
Clustering
Earth and Environmental Science
Earth Sciences
Fuzzy logic
Lakes
Limnology
Marine
Oceanography
Pattern recognition
Physics
Quality assessment
Quality control
Water quality
Water quality assessments
Water use
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Title Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
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