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

Chuntao Ren; Changyou Li; Keli Jia; Sheng Zhang; Weiping Li; Youling Cao

doi:10.1007/s00343-008-0339-2

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

Updated：2023-05-16

- Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
- Journal of Oceanology and Limnology Vol. 26, Issue 3, Pages: 339-344(2008)
- Affiliations：
  
  1. Inner Mongolia Agricultural University
  2. Inner Mongolia Power Exploration & Design Institute
  3. Inner Mongolia Survey & Design Institute of Water Conservancy & Hydropower
- Author bio：
- Funds：
- DOI：10.1007/s00343-008-0339-2
  CLC：
- Online First：20 August 2008，
  
  Published：2008
- Accepted：
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Ren, C., Li, C., Jia, K. et al. Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition., Chin. J. Ocean. Limnol. 26, 339–344 (2008). https://doi.org/10.1007/s00343-008-0339-2
DOI：

Ren, C., Li, C., Jia, K. et al. Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition., Chin. J. Ocean. Limnol. 26, 339–344 (2008). https://doi.org/10.1007/s00343-008-0339-2 DOI：

摘要

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.

关键词

Keywords

references

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