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SPECTRAL FINGERPRINTS OF VARIOUS AQUATIC SYSTEMS

Elfrida Mihaela Carstea, Cristina Liana Popa, Simona Dontu, Roxana Savastru, Dan Savastru

First published: 2017-06-20https://doi.org/10.5593/sgem2017/31/s12.078View metrics

Abstract

Numerous past studies proved the potential of fluorescence spectroscopy to characterize aquatic organic matter and its link to function and chemical water quality. It was proposed as an optimum monitoring method due to its advantages, such as: rapid measurements, high sensitivity and selectivity, requires small quantities of sample with little or no sample preparation. Although fluorescence spectroscopy was used on different types of water systems, no complex study was undertaken to compare the fluorescence signal of organic matter from multiple sources. This study aimed to develop a database with fluorescence spectra of samples collected from urban, rural and industrials sites. The study explored the differences between samples that could be used to monitor the system and track pollution sources. The database included rivers contaminated with petroleum products or sewage, animal wastewater, surface runoff, precipitation, ground water, tap water, natural and artificial lakes, ponds, springs from different locations. Results showed peculiarities in fluorescence intensity of the main fluorescence fractions. Also, different fluorescence fingerprints were obtained for petroleum and sewage samples, facilitating separation of pollution sources. The study showed that fluorescence spectroscopy can be effectively used to monitor urban and rural water systems and identify the type and quantity of pollution.

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Publication details

Title
SPECTRAL FINGERPRINTS OF VARIOUS AQUATIC SYSTEMS
Authors
Elfrida Mihaela Carstea, Cristina Liana Popa, Simona Dontu, Roxana Savastru, Dan Savastru
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
625-632
SWS Citekey
Carstea201712625632
ISSN
1314-2704
ISBN
978-619-7408-04-1
Language
en
Publication type
Conference Paper
Keywords
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