Prediction of Water Quality Using Fuzzy Logic

Qiao Ling Du; Zeng Hua Ren; Zhen Ze Liu; Yi Ding Wang

doi:10.4028/www.scientific.net/AMR.955-959.3310

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Determination of TOC, TP and TN in Water System of Beijing Urban Area
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Experimental Study on Sewage Treatment by Grid Flocculation Technology
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Prediction of Water Quality Using Fuzzy Logic
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Research on Stormwater Catchments Delineation in Urban Area Based on DEM
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Study on Fly Ash for Conditioning of Specific Resistance of Sludge Water
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The Modular Design Concept of Decentralized Sewage Reuse Equipment and its Application
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Application Research of WebGIS Technology in City Reclaimed Water Use Management
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 955-959Prediction of Water Quality Using Fuzzy Logic

Prediction of Water Quality Using Fuzzy Logic

Abstract:

In this paper a fuzzy logic prediction method is proposed to assess water quality status of a reservoir in northeast China through wireless sensor networks. This model was used to analyze the historical data that were collected monthly by local monitoring stations and predict water quality level. Six water quality parameters of BOD5, COD, fluoride, ammonia, total phosphorus (TP), and total nitrogen (TN) were monitored from 2011 to 2012. This result indicated that the methodology adopted in this study was basically an attractive alternative, offering a relatively fast algorithm to predict the water quality parameters.

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Periodical:

Advanced Materials Research (Volumes 955-959)

Pages:

3310-3313

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.955-959.3310

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Online since:

June 2014

Authors:

Qiao Ling Du*, Zeng Hua Ren, Zhen Ze Liu, Yi Ding Wang

Keywords:

Fuzzy Logic, Prediction, Water Quality

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