Water Quality Drivers in 11 Gulf of Mexico Estuaries
Coastal water-quality is both a primary driver and also a consequence of coastal ecosystem health. Turbidity, a measure of dissolved and particulate water-quality matter, is a proxy for water quality, and varies on daily to interannual periods. Turbidity is influenced by a variety of factors, includ...
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ftunisfloridatam:oai:digitalcommons.usf.edu:msc_facpub-1809 2023-05-15T17:33:38+02:00 Water Quality Drivers in 11 Gulf of Mexico Estuaries McCarthy, Matthew J. Otis, Daniel Méndez-Lázaro, Pablo Muller-Karger, Frank 2018-01-01T08:00:00Z application/pdf https://digitalcommons.usf.edu/msc_facpub/800 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1809&context=msc_facpub unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/msc_facpub/800 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1809&context=msc_facpub http://creativecommons.org/licenses/by/4.0/ CC-BY Marine Science Faculty Publications Life Sciences article 2018 ftunisfloridatam 2021-10-09T07:50:44Z Coastal water-quality is both a primary driver and also a consequence of coastal ecosystem health. Turbidity, a measure of dissolved and particulate water-quality matter, is a proxy for water quality, and varies on daily to interannual periods. Turbidity is influenced by a variety of factors, including algal particles, colored dissolved organic matter, and suspended sediments. Identifying which factors drive trends and extreme events in turbidity in an estuary helps environmental managers and decision makers plan for and mitigate against water-quality issues. Efforts to do so on large spatial scales have been hampered due to limitations of turbidity data, including coarse and irregular temporal resolution and poor spatial coverage. We addressed these issues by deriving a proxy for turbidity using ocean color satellite products for 11 Gulf of Mexico estuaries from 2000 to 2014 on weekly, monthly, seasonal, and annual time-steps. Drivers were identified using Akaike’s Information Criterion and multiple regressions to model turbidity against precipitation, wind speed, U and V wind vectors, river discharge, water level, and El Nino Southern Oscillation and North Atlantic Oscillation climate indices. Turbidity variability was best explained by wind speed across estuaries for both time-series and extreme turbidity events, although more dynamic patterns were found between estuaries over various time steps Article in Journal/Newspaper North Atlantic North Atlantic oscillation Digital Commons University of South Florida (USF) |
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Life Sciences |
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Life Sciences McCarthy, Matthew J. Otis, Daniel Méndez-Lázaro, Pablo Muller-Karger, Frank Water Quality Drivers in 11 Gulf of Mexico Estuaries |
topic_facet |
Life Sciences |
description |
Coastal water-quality is both a primary driver and also a consequence of coastal ecosystem health. Turbidity, a measure of dissolved and particulate water-quality matter, is a proxy for water quality, and varies on daily to interannual periods. Turbidity is influenced by a variety of factors, including algal particles, colored dissolved organic matter, and suspended sediments. Identifying which factors drive trends and extreme events in turbidity in an estuary helps environmental managers and decision makers plan for and mitigate against water-quality issues. Efforts to do so on large spatial scales have been hampered due to limitations of turbidity data, including coarse and irregular temporal resolution and poor spatial coverage. We addressed these issues by deriving a proxy for turbidity using ocean color satellite products for 11 Gulf of Mexico estuaries from 2000 to 2014 on weekly, monthly, seasonal, and annual time-steps. Drivers were identified using Akaike’s Information Criterion and multiple regressions to model turbidity against precipitation, wind speed, U and V wind vectors, river discharge, water level, and El Nino Southern Oscillation and North Atlantic Oscillation climate indices. Turbidity variability was best explained by wind speed across estuaries for both time-series and extreme turbidity events, although more dynamic patterns were found between estuaries over various time steps |
format |
Article in Journal/Newspaper |
author |
McCarthy, Matthew J. Otis, Daniel Méndez-Lázaro, Pablo Muller-Karger, Frank |
author_facet |
McCarthy, Matthew J. Otis, Daniel Méndez-Lázaro, Pablo Muller-Karger, Frank |
author_sort |
McCarthy, Matthew J. |
title |
Water Quality Drivers in 11 Gulf of Mexico Estuaries |
title_short |
Water Quality Drivers in 11 Gulf of Mexico Estuaries |
title_full |
Water Quality Drivers in 11 Gulf of Mexico Estuaries |
title_fullStr |
Water Quality Drivers in 11 Gulf of Mexico Estuaries |
title_full_unstemmed |
Water Quality Drivers in 11 Gulf of Mexico Estuaries |
title_sort |
water quality drivers in 11 gulf of mexico estuaries |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2018 |
url |
https://digitalcommons.usf.edu/msc_facpub/800 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1809&context=msc_facpub |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Marine Science Faculty Publications |
op_relation |
https://digitalcommons.usf.edu/msc_facpub/800 https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1809&context=msc_facpub |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
_version_ |
1766132203311333376 |