Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region
This paper presents the results of spectral optical measurements of hydrochemical characteristics in the Angara/Yenisei river system (AYRS) extending from Lake Baikal to the estuary of the Yenisei River. For the first time, such large-scale observations were made as part of a joint American-Russian...
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ftmdpi:oai:mdpi.com:/2073-445X/10/4/342/ 2023-08-20T04:10:22+02:00 Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region Costas A. Varotsos Vladimir F. Krapivin Ferdenant A. Mkrtchyan Yong Xue agris 2021-03-27 application/pdf https://doi.org/10.3390/land10040342 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/land10040342 https://creativecommons.org/licenses/by/4.0/ Land; Volume 10; Issue 4; Pages: 342 optical spectrum chemicals water pollution modelling spectrophotometer spectroellipsometer Text 2021 ftmdpi https://doi.org/10.3390/land10040342 2023-08-01T01:22:49Z This paper presents the results of spectral optical measurements of hydrochemical characteristics in the Angara/Yenisei river system (AYRS) extending from Lake Baikal to the estuary of the Yenisei River. For the first time, such large-scale observations were made as part of a joint American-Russian expedition in July and August of 1995, when concentrations of radionuclides, heavy metals, and oil hydrocarbons were assessed. The results of this study were obtained as part of the Russian hydrochemical expedition in July and August, 2019. For in situ measurements and sampling at 14 sampling sites, three optical spectral instruments and appropriate software were used, including big data processing algorithms and an AYRS simulation model. The results show that the water quality in AYRS has improved slightly due to the reasonably reduced anthropogenic industrial impact. Chemical concentrations in water have been found to vary along the Angara River depending on the location of the dams. The results of in situ measurements and modeling evaluations are given. To overcome the uncertainties in the data caused by the large monitoring area, it is recommended to use the combined AYRS simulation model and the universal 8-channel spectrophotometer installed on a fixed platform for continuous monitoring. Text yenisey river MDPI Open Access Publishing Yenisei River ENVELOPE(84.738,84.738,69.718,69.718) Yenisey ENVELOPE(82.680,82.680,71.828,71.828) Land 10 4 342 |
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MDPI Open Access Publishing |
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ftmdpi |
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English |
topic |
optical spectrum chemicals water pollution modelling spectrophotometer spectroellipsometer |
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optical spectrum chemicals water pollution modelling spectrophotometer spectroellipsometer Costas A. Varotsos Vladimir F. Krapivin Ferdenant A. Mkrtchyan Yong Xue Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
topic_facet |
optical spectrum chemicals water pollution modelling spectrophotometer spectroellipsometer |
description |
This paper presents the results of spectral optical measurements of hydrochemical characteristics in the Angara/Yenisei river system (AYRS) extending from Lake Baikal to the estuary of the Yenisei River. For the first time, such large-scale observations were made as part of a joint American-Russian expedition in July and August of 1995, when concentrations of radionuclides, heavy metals, and oil hydrocarbons were assessed. The results of this study were obtained as part of the Russian hydrochemical expedition in July and August, 2019. For in situ measurements and sampling at 14 sampling sites, three optical spectral instruments and appropriate software were used, including big data processing algorithms and an AYRS simulation model. The results show that the water quality in AYRS has improved slightly due to the reasonably reduced anthropogenic industrial impact. Chemical concentrations in water have been found to vary along the Angara River depending on the location of the dams. The results of in situ measurements and modeling evaluations are given. To overcome the uncertainties in the data caused by the large monitoring area, it is recommended to use the combined AYRS simulation model and the universal 8-channel spectrophotometer installed on a fixed platform for continuous monitoring. |
format |
Text |
author |
Costas A. Varotsos Vladimir F. Krapivin Ferdenant A. Mkrtchyan Yong Xue |
author_facet |
Costas A. Varotsos Vladimir F. Krapivin Ferdenant A. Mkrtchyan Yong Xue |
author_sort |
Costas A. Varotsos |
title |
Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
title_short |
Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
title_full |
Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
title_fullStr |
Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
title_full_unstemmed |
Optical Spectral Tools for Diagnosing Water Media Quality: A Case Study on the Angara/Yenisey River System in the Siberian Region |
title_sort |
optical spectral tools for diagnosing water media quality: a case study on the angara/yenisey river system in the siberian region |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/land10040342 |
op_coverage |
agris |
long_lat |
ENVELOPE(84.738,84.738,69.718,69.718) ENVELOPE(82.680,82.680,71.828,71.828) |
geographic |
Yenisei River Yenisey |
geographic_facet |
Yenisei River Yenisey |
genre |
yenisey river |
genre_facet |
yenisey river |
op_source |
Land; Volume 10; Issue 4; Pages: 342 |
op_relation |
https://dx.doi.org/10.3390/land10040342 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/land10040342 |
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Land |
container_volume |
10 |
container_issue |
4 |
container_start_page |
342 |
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1774724489437773824 |