Fuzzy synthetic evaluation of Weihe water quality

Files in This Item:
File Description SizeFormat 
8_3_Geng_11.pdf719.39 kBAdobe PDFDownload
Title: Fuzzy synthetic evaluation of Weihe water quality
Authors: Geng, Yani
Zhang, Jun
Zhou, Qi
Xu, Chundi
Zhao, Y.Q.
Permanent link: http://hdl.handle.net/10197/4020
Date: Oct-2011
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.
Type of material: Journal Article
Publisher: Editura EcoZone
Copyright (published version): 2011 Editura EcoZone
Keywords: Fuzzy Synthetic EvaluationRiver water qualityWater managementWater quality criteria
Language: en
Status of Item: Peer reviewed
Appears in Collections:Centre for Water Resources Research Collection
Civil Engineering Research Collection

Show full item record

Page view(s) 20

checked on May 25, 2018

Download(s) 5

checked on May 25, 2018

Google ScholarTM


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.