Literature DB >> 16897542

Measurements of wastewater true color by 4/6 wavelength methods and artificial neural network.

Ruey-Fang Yu1, Ho-Wen Chen, Wen-Po Cheng, Mei-Ling Chu.   

Abstract

The ADMI (American Dye Manufactures' Institute) 3 and 31 wavelength (WL) methods are the most popular measurements of the wastewater true color. However, significantly different measured results were found between the ADMI 3 and 31 WL methods for the same sample. This finding indicates that the ADMI 3 and 31 WL values should not be directly substituted for each other, resulting in the incomparability of these two color values. An innovative calculation using the Back-Propagation Neural Network (BPN) was therefore proposed to replace the original calculation method proposed in Standard Method. The BPN-calculated ADMI 3 WL values were found to be very close to the corresponding measured ADMI 31 WL values. Additionally, for more accurate measurement of the true color, new measurement methods containing 4 and 6 wavelengths were proposed and cooperated with the BPN calculation model. The new approaches performed very accuracy measured results of the wastewater true color. Finally, the trained BPN calculation models were built to be applied to measure the true color of real textile samples and also performed very good measured results.

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Year:  2006        PMID: 16897542     DOI: 10.1007/s10661-006-1491-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Development of a real-time control strategy with artificial neural network for automatic control of a continuous-flow sequencing batch reactor.

Authors:  B C Cho; S L Law; C N Chang; R F Yu; S J Yang; B R Chiou
Journal:  Water Sci Technol       Date:  2001       Impact factor: 1.915

2.  Neural network modeling for on-line estimation of nutrient dynamics in a sequentially-operated batch reactor.

Authors:  D S Lee; J M Park
Journal:  J Biotechnol       Date:  1999-10-08       Impact factor: 3.307

3.  A hybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process.

Authors:  D J Choi; H Park
Journal:  Water Res       Date:  2001-11       Impact factor: 11.236

4.  Regulating colored textile wastewater by 3/31 wavelength ADMI methods in Taiwan.

Authors:  C M Kao; M S Chou; W L Fang; B W Liu; B R Huang
Journal:  Chemosphere       Date:  2001-08       Impact factor: 7.086

  4 in total
  1 in total

1.  Simultaneously monitoring the particle size distribution, morphology and suspended solids concentration in wastewater applying digital image analysis (DIA).

Authors:  Ruey-Fang Yu; Ho-Wen Chen; Wen-Po Cheng; Mei-Ling Chu
Journal:  Environ Monit Assess       Date:  2008-01-22       Impact factor: 2.513

  1 in total

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