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  5. Fuzzy synthetic evaluation of Weihe water quality
 
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Fuzzy synthetic evaluation of Weihe water quality

Author(s)
Geng, Yani  
Zhang, Jun  
Zhou, Qi  
Xu, Chundi  
Zhao, Y.Q.  
Uri
http://hdl.handle.net/10197/4020
Date Issued
2011-10
Date Available
2013-01-14T14:37:21Z
Abstract
Based on the fuzzy logic principle, a modified Fuzzy Synthetic Evaluation (FSE) is proposed to assess water quality status of Weihe River (Baoji, China). The potential application of the FSE has been tested in a case study. Twelve sampling locations of Weihe River and its tributaries in Baoji area were selected and seven water quality parameters of BOD5, COD, fluoride, ammonia, total phosphorus (TP), total nitrogen (TN) and permanganate index, were monitored from 2008 to 2009. The findings clearly indicated that the methodology adopted in this study was reasonably close to the official reports published by the local Environmental Protection Agency (EPA) on the pollution problems in the study area. The water quality of Weihe River in Baoji area showed the Class II and III according to the Chinese classification standard. More importantly, this provides a good showcase of the modified FSE in river water quality evaluation.
Other Sponsorship
National Natural Science Foundation of China, 40471053
Key Research Foundation, Baoji University of Arts and Sciecnes, ZK1022
Type of Material
Journal Article
Publisher
Editura EcoZone
Journal
Environmental Engineering and Management Journal
Volume
10
Issue
10
Start Page
1477
End Page
1484
Copyright (Published Version)
2011 Editura EcoZone
Subjects

Fuzzy Synthetic Evalu...

River water quality

Water management

Water quality criteri...

Web versions
http://www.ecozone.ro/reviste.php?revista=21&volum=53&numar=119&RID=25780
Language
English
Status of Item
Peer reviewed
ISSN
1843 - 3707
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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8_3_Geng_11.pdf

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Checksum (MD5)

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Owning collection
Civil Engineering Research Collection
Mapped collections
Centre for Water Resources Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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