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

OriginalPaper | Updated：2023-05-16

- Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
- Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition
- 海洋湖沼学报（英文） 2008年26卷第3期页码：339-344
- 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：
  
  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)
- DOI：10.1007/s00343-008-0339-2
  中图分类号：
- 网络首发：2008-08-20，
  
  纸质出版：2008
- Accepted：
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Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition[J]. 海洋湖沼学报（英文）, 2008,26(3):339-344.

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
Water quality assessment for Ulansuhai Lake using fuzzy clustering and pattern recognition[J]. 海洋湖沼学报（英文）, 2008,26(3):339-344. DOI： 10.1007/s00343-008-0339-2.

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.

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Keywords

references

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