Rapid in situ determination of total oil concentration in water using ultraviolet fluorescence and light scattering coupled with artificial neural networks
暂无分享,去创建一个
[1] Some investigations on neural processing of scattered light in water quality assessment , 1994 .
[2] H G Löhmannsröben,et al. Combination of laser-induced fluorescence and diffuse-reflectance spectroscopy for the in situ analysis of diesel-fuel-contaminated soils. , 1999, Applied optics.
[3] R. T. Cheng,et al. Laboratory and field evaluations of the LISST-100 instrument for suspended particle size determinations , 2001 .
[4] Stephen H. Lieberman,et al. Neural network approach to qualitative identification of fuels and oils from laser induced fluorescence spectra , 1994 .
[5] S. Lieberman,et al. Online Monitoring of Oils in Wastewater Using Combined Ultraviolet Fluorescence and Light Scattering with an Artificial Neural Network , 2000 .
[6] Hugh A. MacKenzie,et al. A pulsed photoacoustic system for the spectroscopy and monitoring of hydrocarbon liquids using stimulated Raman scattering in a silica fibre as a near-infrared source , 1999 .
[7] T. David Binnie,et al. Application of pulsed laser photoacoustic sensors in monitoring oil contamination in water , 1995 .
[8] John A. Nardella,et al. New Technology in Oil Content Monitors , 1989 .
[9] E. Wehry. Modern Fluorescence Spectroscopy , 1981 .
[10] R. L. Mowery,et al. Enhancement to the ET-35N Oil Content Monitor: A Model Based on Mie Scattering Theory. , 1997 .