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Analysis of Water Environmental Quality Using BP Artificial Neural Network in Weihe River Baoji Segment

Xie, Heng-Xing

The BP artificial neural network model in type 7-5-5 was constructed with the surface water quality standard (GB3838-2002) and the surface water quality items such as BOD5 (5 day biochemical oxygen demand), COD (chemical oxygen demand), permanganate index, fluoride, NH3-N, TP (total phosphorus) and TN (total nitrogen), and the water environmental quality evaluation was conducted using the trained BP artificial neural network with the water contamination concentration data in 6 sections of Weihe river Baoji segment in year 2009. Results showed that the water quality were GradeIand GradeII in Lin Jia Cun section and Sheng Li Qiao section, and Grade III in the rest section (Wo Long Si Bridge, Guo Zhen Bridge, Cai Jia Po Bridge and Chang Xing Bridge).

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Analysis of Water Environmental Quality Using BP Artificial Neural Network in Weihe River Baoji Segment

Xie, Heng-Xing

The BP artificial neural network model in type 7-5-5 was constructed with the surface water quality standard (GB3838-2002) and the surface water quality items such as BOD5 (5 day biochemical oxygen demand), COD (chemical oxygen demand), permanganate index, fluoride, NH3-N, TP (total phosphorus) and TN (total nitrogen), and the water environmental quality evaluation was conducted using the trained BP artificial neural network with the water contamination concentration data in 6 sections of Weihe river Baoji segment in year 2009. Results showed that the water quality were GradeIand GradeII in Lin Jia Cun section and Sheng Li Qiao section, and Grade III in the rest section (Wo Long Si Bridge, Guo Zhen Bridge, Cai Jia Po Bridge and Chang Xing Bridge).

Analysis of Water Environmental Quality Using BP Artificial Neural Network in Weihe River Baoji Segment

Xie, Heng-Xing

The BP artificial neural network model in type 7-5-5 was constructed with the surface water quality standard (GB3838-2002) and the surface water quality items such as BOD5 (5 day biochemical oxygen demand), COD (chemical oxygen demand), permanganate index, fluoride, NH3-N, TP (total phosphorus) and TN (total nitrogen), and the water environmental quality evaluation was conducted using the trained BP artificial neural network with the water contamination concentration data in 6 sections of Weihe river Baoji segment in year 2009. Results showed that the water quality were GradeIand GradeII in Lin Jia Cun section and Sheng Li Qiao section, and Grade III in the rest section (Wo Long Si Bridge, Guo Zhen Bridge, Cai Jia Po Bridge and Chang Xing Bridge).

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Title:

Analysis of Water Environmental Quality Using BP Artificial Neural Network in Weihe River Baoji Segment

Contributors:

Xie, Heng-Xing (author)

Published in:

Frontiers of Manufacturing Science and Measuring Technology III, ICFMM, International Conference on Frontiers of Manufacturing Science and Measuring Technology, 3 ; 2147-2150

Applied Mechanics and Materials ; 401-403

Publication date:

2013

Size:

4 Seiten

ISSN:

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.2147

Type of media:

Conference paper

Type of material:

Print

Language:

English

Keywords:

künstliches neuronales Netz , Phosphor , Oberflächenqualität , Fluss (Gewässer) , Permanganat , Stickstoff , Wasseranalyse , Gewässerverschmutzung , Wasserqualität , biochemischer Sauerstoffbedarf , CSB (chemischer Sauerstoffbedarf) , Fluorid , Netzmodell

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