Optimized nephelometer and nonlinear processor for oil-in-water monitoring

D. A. Green; Rambod Naimimohasses; David M. Barnett; Peter Richard Smith

doi:10.1117/12.221100

21 September 1995 Optimized nephelometer and nonlinear processor for oil-in-water monitoring

D. A. Green, Rambod Naimimohasses, David M. Barnett, Peter Richard Smith

Proceedings Volume 2503, Air Toxics and Water Monitoring; (1995) https://doi.org/10.1117/12.221100
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany

Abstract

The measurement of low concentrations of oil-in-water has been performed by fluoreometry but variations in the physical properties of different oils, in particular their dispersed particle sizes, significantly affect the degree of fluorescence and hence the accuracy of the measurement. Optical scattering can be used to investigate the physical state of oil-in-water suspensions, the strength and direction of the scattering being dependent on the physical and optical properties of the suspended particles. Optical scattering studies, in conjunction with neural network processors, have recently shown the capability to distinguish between oil suspensions over a range of concentrations. In this paper we extend the approach of combined nephelometry and neural networks and also investigate a technique for minimizing the complexity of design of the nephelometer. Whereas earlier work demonstrated the technique using dissimilar oil types in tap water, we here study the more practical and cogent example of similar oils (two crudes and an engine oil) in sea water.

Citation Download Citation

D. A. Green, Rambod Naimimohasses, David M. Barnett, and Peter Richard Smith "Optimized nephelometer and nonlinear processor for oil-in-water monitoring", Proc. SPIE 2503, Air Toxics and Water Monitoring, (21 September 1995); https://doi.org/10.1117/12.221100

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