Pathlength, Altitude and Angle of Incidence Dependence of Remote Water Raman Scattering

A small remote Raman sensor was used to measure the Raman scattering signal from clear, still water as a function of water depth (12 cm and 396 cm depth), sensor distance above the water surface (20-300 cm), and angle of incidence (0-80°) to the normal of the water surface. Under thick- and thin-sample conditions, the signal depends on either the inverse, or the inverse square, of sensor distance from the water surface, respectively. A model is derived that fits data for different sensor distances, water depths, and angles of incidence. Fits to the measured data are consistent with the known intensity of water Raman scattering and the specifications of the detection system. This manuscript provides a mathematical model that can be used to predict and evaluate the performance of remote sensors and can be expanded to account for differing experimental conditions.

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Publication Details

Journal
Applied Spectroscopy
Published
2025-10-24
DOI
https://doi.org/10.1177/00037028251394346
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Pathlength, Altitude and Angle of Incidence Dependence of Remote Water Raman Scattering

Zechariah B. Kitzhaber, Tammi L. Richardson, Patrick J. Williams, Michael L. Myrick et al.
Applied Spectroscopy
Spectroscopy Techniques in Biomedical and Chemical Research
article

Pathlength, Altitude and Angle of Incidence Dependence of Remote Water Raman Scattering

Zechariah B. Kitzhaber, Tammi L. Richardson, Patrick J. Williams, Michael L. Myrick, Whitney E. Schuler, Caitlyn M. English, Nikolaos Vitzilaios
article en

Abstract

A small remote Raman sensor was used to measure the Raman scattering signal from clear, still water as a function of water depth (12 cm and 396 cm depth), sensor distance above the water surface (20-300 cm), and angle of incidence (0-80°) to the normal of the water surface. Under thick- and thin-sample conditions, the signal depends on either the inverse, or the inverse square, of sensor distance from the water surface, respectively. A model is derived that fits data for different sensor distances, water depths, and angles of incidence. Fits to the measured data are consistent with the known intensity of water Raman scattering and the specifications of the detection system. This manuscript provides a mathematical model that can be used to predict and evaluate the performance of remote sensors and can be expanded to account for differing experimental conditions.

Applied SpectroscopyVol. 80(2)
Oak Ridge National Laboratory (US), University of South Carolina (US), Savannah River National Laboratory (US)
Openalex Percentile: Top 78%
Spectroscopy Techniques in Biomedical and Chemical Research
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