The application of the Fuzzy Attenuation model in the evaluation of water quality in the Yangtze River

Author

Dang, Cun-Lu ; Yang, Jian ; Zhang, Xiao-ying ; Li, Shuang-Feng

Author_Institution

Sch. of Electr. & Inf. Eng., LanZhou Univ. of Technol., Lanzhou

Volume

3

fYear

2008

fDate

12-15 July 2008

Firstpage

1474

Lastpage

1479

Abstract

The pollution of the Yangtze river is becoming more and more serious, but there is much uncertain inkling in the evaluation of the Yangtze river which makes it difficult to get the integrated evaluation. The fuzzy recognition sets out its objectivity and practicability during treating with multi-inklings. This paper sets up the fuzzy attenuation model by using the fuzzy recognition and considering the ability of potamic self-purification, meanwhile, using this new model it gets the quantificational integrated evaluation by analyzing the water quality of the Yangtze river from June2003 to Sept.2005. By investigating the content of the main pollution of CODMn and NH3-N in the main stream of the Yangtze river more than one year, we get the analysis of the main pollution sources of CODMn and NH3-N in the main stream of the Yangtze river.

Keywords

fuzzy set theory; river pollution; rivers; Yangtze River; fuzzy attenuation; fuzzy recognition; potamic self-purification; quantificational integrated evaluation; river pollution; water quality evaluation; Attenuation; Cybernetics; Fuzzy sets; Local area networks; Machine learning; Monitoring; Physics; Rivers; Water pollution; Water resources; Fuzzy Attenuation Model; The evaluation of water quality; Water quality evaluation of the Yangtze River;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620638

Filename

4620638