Propagation and scattering model of infrared and ultraviolet light in turbid water

This paper studies the relationship between the characteristics of weakly turbid water and backscattered light intensity from a collimated light beam. Water properties such as particulate concentration and the presence of organic matter are considered. We present a recent model for the propagation of infrared and ultraviolet light in turbid water and demonstrate good correlation with experimental data. The effects of beam scattering and absorption are captured in the model and validated with experimental measurements. The developed sensor is found to be capable of measuring the time-averaged concentration of both suspended solid and chemical oxygen demand. The main focus of this work is for water quality monitoring but the observations are also directly relevant to underwater optical wireless communications.

[1]  Michael Blumenstein,et al.  A rapid analytical method for predicting the oxygen demand of wastewater , 2006, Analytical and bioanalytical chemistry.

[2]  Jorge Guillén,et al.  Field calibration of optical sensors for measuring suspended sediment concentration in the western Mediterranean , 2000 .

[3]  Linda Mullen,et al.  Propagation of modulated light in water: implications for imaging and communications systems. , 2009, Applied optics.

[4]  Richard M. Stuetz,et al.  On‐line monitoring of wastewater quality: a review , 2001 .

[5]  M Métadier,et al.  The use of long-term on-line turbidity measurements for the calculation of urban stormwater pollutant concentrations, loads, pollutographs and intra-event fluxes. , 2012, Water research.

[6]  Hang-Sik Shin,et al.  Feasibility of On-line Measurement of Sewage Components Using the UV Absorbance and the Neural Network , 2007, Environmental monitoring and assessment.

[7]  S. Zhuiykov.  Solid-state sensors monitoring parameters of water quality for the next generation of wireless sensor networks , 2012 .

[8]  S. R. Ahmad,et al.  Monitoring of water quality using fluorescence technique: prospect of on-line process control , 1999 .

[9]  Linda Mullen,et al.  Optical propagation in the underwater environment , 2009, Defense + Commercial Sensing.

[10]  Murat Kankal,et al.  Estimation of suspended sediment concentration from turbidity measurements using artificial neural networks , 2012, Environmental Monitoring and Assessment.