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Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration
In the contrary to surface oil slicks, dispersed oil pollution is not yet detected or monitored on regular basis. The possible range of changes of the local optical properties of seawater caused by the occurrence of dispersed oil, as well as the dependencies of changes on various physical and enviro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152263/ https://www.ncbi.nlm.nih.gov/pubmed/34067967 http://dx.doi.org/10.3390/s21103387 |
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author | Haule, Kamila Freda, Włodzimierz |
author_facet | Haule, Kamila Freda, Włodzimierz |
author_sort | Haule, Kamila |
collection | PubMed |
description | In the contrary to surface oil slicks, dispersed oil pollution is not yet detected or monitored on regular basis. The possible range of changes of the local optical properties of seawater caused by the occurrence of dispersed oil, as well as the dependencies of changes on various physical and environmental factors, can be estimated using simulation techniques. Two models were combined to examine the influence of oceanic water type on the visibility of dispersed oil: the Monte Carlo radiative transfer model and the Lorenz–Mie model for spherical oil droplets suspended in seawater. Remote sensing reflectance, R(rs), was compared for natural ocean water models representing oligotrophic, mesotrophic and eutrophic environments (characterized by chlorophyll-a concentrations of 0.1, 1 and 10 mg/m(3), respectively) and polluted by three different kinds of oils: biodiesel, lubricant oil and crude oil. We found out that dispersed oil usually increases R(rs) values for all types of seawater, with the highest effect for the oligotrophic ocean. In the clearest studied waters, the absolute values of R(rs) increased 2–6 times after simulated dispersed oil pollution, while R(rs) band ratios routinely applied in bio-optical models decreased up to 80%. The color index, CI, was nearly double reduced by dispersed biodiesel BD and lubricant oil CL, but more than doubled by crude oil FL. |
format | Online Article Text |
id | pubmed-8152263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81522632021-05-27 Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration Haule, Kamila Freda, Włodzimierz Sensors (Basel) Article In the contrary to surface oil slicks, dispersed oil pollution is not yet detected or monitored on regular basis. The possible range of changes of the local optical properties of seawater caused by the occurrence of dispersed oil, as well as the dependencies of changes on various physical and environmental factors, can be estimated using simulation techniques. Two models were combined to examine the influence of oceanic water type on the visibility of dispersed oil: the Monte Carlo radiative transfer model and the Lorenz–Mie model for spherical oil droplets suspended in seawater. Remote sensing reflectance, R(rs), was compared for natural ocean water models representing oligotrophic, mesotrophic and eutrophic environments (characterized by chlorophyll-a concentrations of 0.1, 1 and 10 mg/m(3), respectively) and polluted by three different kinds of oils: biodiesel, lubricant oil and crude oil. We found out that dispersed oil usually increases R(rs) values for all types of seawater, with the highest effect for the oligotrophic ocean. In the clearest studied waters, the absolute values of R(rs) increased 2–6 times after simulated dispersed oil pollution, while R(rs) band ratios routinely applied in bio-optical models decreased up to 80%. The color index, CI, was nearly double reduced by dispersed biodiesel BD and lubricant oil CL, but more than doubled by crude oil FL. MDPI 2021-05-13 /pmc/articles/PMC8152263/ /pubmed/34067967 http://dx.doi.org/10.3390/s21103387 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Haule, Kamila Freda, Włodzimierz Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title | Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title_full | Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title_fullStr | Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title_full_unstemmed | Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title_short | Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration |
title_sort | remote sensing of dispersed oil pollution in the ocean—the role of chlorophyll concentration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152263/ https://www.ncbi.nlm.nih.gov/pubmed/34067967 http://dx.doi.org/10.3390/s21103387 |
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