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Water Resources Management

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21-03-2018

Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method

Authors: Yan Feng, Qian Bao, Liu Chenglin, Wei Bowen, You Zhang

Published in: Water Resources Management | Issue 8/2018

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Abstract

The biological indicators are rarely used in CCME WQI, for the objective thresholds of most biological indicators are ambiguous. To solve this problem, this study establishes an improved CCME WQI model based on variable fuzzy set theory. The water quality of Wuli Lake is assessed as an illustration; and the result shows that its water quality condition is “fair”, and more measures should be adopted to control the internal phosphorus releasing and the reproduction of cyanobacteria in summer and autumn. Moreover, compared with the conventional CCME CQI, the improved CCME WQI is more comprehensive, for it not only takes the aquatic physic-chemical condition into consideration, but also introduces the biological indicators into evaluation.

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Title: Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method
Authors: Yan Feng
Qian Bao
Liu Chenglin
Wei Bowen
You Zhang
Publication date: 21-03-2018
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 8/2018
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-018-1965-x

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