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Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles

[Image: see text] Disposal of industrial and hazardous waste in the ocean was a pervasive global practice in the 20th century. Uncertainty in the quantity, location, and contents of dumped materials underscores ongoing risks to marine ecosystems and human health. This study presents an analysis of a...

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Autores principales: Merrifield, Sophia T., Celona, Sean, McCarthy, Ryan A., Pietruszka, Andrew, Batchelor, Heidi, Hess, Robert, Nager, Andrew, Young, Raymond, Sadorf, Kurt, Levin, Lisa A., Valentine, David L., Conrad, James E., Terrill, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666539/
https://www.ncbi.nlm.nih.gov/pubmed/37319331
http://dx.doi.org/10.1021/acs.est.3c01256
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author Merrifield, Sophia T.
Celona, Sean
McCarthy, Ryan A.
Pietruszka, Andrew
Batchelor, Heidi
Hess, Robert
Nager, Andrew
Young, Raymond
Sadorf, Kurt
Levin, Lisa A.
Valentine, David L.
Conrad, James E.
Terrill, Eric J.
author_facet Merrifield, Sophia T.
Celona, Sean
McCarthy, Ryan A.
Pietruszka, Andrew
Batchelor, Heidi
Hess, Robert
Nager, Andrew
Young, Raymond
Sadorf, Kurt
Levin, Lisa A.
Valentine, David L.
Conrad, James E.
Terrill, Eric J.
author_sort Merrifield, Sophia T.
collection PubMed
description [Image: see text] Disposal of industrial and hazardous waste in the ocean was a pervasive global practice in the 20th century. Uncertainty in the quantity, location, and contents of dumped materials underscores ongoing risks to marine ecosystems and human health. This study presents an analysis of a wide-area side-scan sonar survey conducted with autonomous underwater vehicles (AUVs) at a dump site in the San Pedro Basin, California. Previous camera surveys located 60 barrels and other debris. Sediment analysis in the region showed varying concentrations of the insecticidal chemical dichlorodiphenyltrichloroethane (DDT), of which an estimated 350–700 t were discarded in the San Pedro Basin between 1947 and 1961. A lack of primary historical documents specifying DDT acid waste disposal methods has contributed to the ambiguity surrounding whether dumping occurred via bulk discharge or containerized units. Barrels and debris observed during previous surveys were used for ground truth classification algorithms based on size and acoustic intensity characteristics. Image and signal processing techniques identified over 74,000 debris targets within the survey region. Statistical, spectral, and machine learning methods characterize seabed variability and classify bottom-type. These analytical techniques combined with AUV capabilities provide a framework for efficient mapping and characterization of uncharted deep-water disposal sites.
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spelling pubmed-106665392023-11-23 Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles Merrifield, Sophia T. Celona, Sean McCarthy, Ryan A. Pietruszka, Andrew Batchelor, Heidi Hess, Robert Nager, Andrew Young, Raymond Sadorf, Kurt Levin, Lisa A. Valentine, David L. Conrad, James E. Terrill, Eric J. Environ Sci Technol [Image: see text] Disposal of industrial and hazardous waste in the ocean was a pervasive global practice in the 20th century. Uncertainty in the quantity, location, and contents of dumped materials underscores ongoing risks to marine ecosystems and human health. This study presents an analysis of a wide-area side-scan sonar survey conducted with autonomous underwater vehicles (AUVs) at a dump site in the San Pedro Basin, California. Previous camera surveys located 60 barrels and other debris. Sediment analysis in the region showed varying concentrations of the insecticidal chemical dichlorodiphenyltrichloroethane (DDT), of which an estimated 350–700 t were discarded in the San Pedro Basin between 1947 and 1961. A lack of primary historical documents specifying DDT acid waste disposal methods has contributed to the ambiguity surrounding whether dumping occurred via bulk discharge or containerized units. Barrels and debris observed during previous surveys were used for ground truth classification algorithms based on size and acoustic intensity characteristics. Image and signal processing techniques identified over 74,000 debris targets within the survey region. Statistical, spectral, and machine learning methods characterize seabed variability and classify bottom-type. These analytical techniques combined with AUV capabilities provide a framework for efficient mapping and characterization of uncharted deep-water disposal sites. American Chemical Society 2023-06-15 /pmc/articles/PMC10666539/ /pubmed/37319331 http://dx.doi.org/10.1021/acs.est.3c01256 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Merrifield, Sophia T.
Celona, Sean
McCarthy, Ryan A.
Pietruszka, Andrew
Batchelor, Heidi
Hess, Robert
Nager, Andrew
Young, Raymond
Sadorf, Kurt
Levin, Lisa A.
Valentine, David L.
Conrad, James E.
Terrill, Eric J.
Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title_full Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title_fullStr Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title_full_unstemmed Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title_short Wide-Area Debris Field and Seabed Characterization of a Deep Ocean Dump Site Surveyed by Autonomous Underwater Vehicles
title_sort wide-area debris field and seabed characterization of a deep ocean dump site surveyed by autonomous underwater vehicles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666539/
https://www.ncbi.nlm.nih.gov/pubmed/37319331
http://dx.doi.org/10.1021/acs.est.3c01256
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