Spectral analysis of water samples using modulated resonance features for monitoring of public water resources

S. G. Lambrakos; C. Yapijakis; D. Aiken; A. Shabaev; S. Ramsey; J. Peak

doi:10.1117/12.2177969

21 May 2015 Spectral analysis of water samples using modulated resonance features for monitoring of public water resources

S. G. Lambrakos, C. Yapijakis, D. Aiken, A. Shabaev, S. Ramsey, J. Peak

Author Affiliations +

Proceedings Volume 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI; 947216 (2015) https://doi.org/10.1117/12.2177969
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Hyperspectral analysis of water samples taken from public water resources in the New York City metro area has demonstrated the potential application of this type of analysis for water monitoring, treatment and evaluation prior to filtration. Hyperspectral monitoring of contaminants with respect to types and relative concentrations requires tracking statistical profiles of water contaminants in terms of spatial-temporal distributions of electromagnetic absorption spectra ranging from the ultraviolet to infrared, which are associated with specific water resources. To achieve this, it is necessary to establish correlation between hyperspectral signatures and types of contaminants to be found within specific water resources. Correlation between absorption spectra and changes in chemical and physical characteristics of contaminants requires sufficient sensitivity. The present study examines the sensitivity of modulated resonance features with respect to characteristics of water contaminants for hyperspectral analysis of water samples.

Citation Download Citation

S. G. Lambrakos, C. Yapijakis, D. Aiken, A. Shabaev, S. Ramsey, and J. Peak "Spectral analysis of water samples using modulated resonance features for monitoring of public water resources", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 947216 (21 May 2015); https://doi.org/10.1117/12.2177969

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