High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick

Alexander Soloviev; Breanna L Vanderplow; Cayla Dean; Egbert Schwarz; Susanne Lehner; Hui Shen; William Perrie; Paul Schuler

doi:10.1109/igarss39084.2020.9323394

High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick

Alexander Soloviev
, Breanna L Vanderplow
, Cayla Dean
, Egbert Schwarz
, Susanne Lehner
, Hui Shen
, William Perrie
, Paul Schuler

Department of Marine and Environmental Sciences

Research output: Contribution to conference › Paper

Abstract

River runoff on the Louisiana Coast produces shallow, low-salinity lenses. Due to the presence of a leaking oil platform (Taylor Energy), the fine structure of these lenses is visible in synthetic aperture radar (SAR) imagery. In this paper, we report results of the comprehensive study including high-resolution remote sensing and in-situ observations of low-salinity lenses on the Louisiana Coast as well as modeling the lens using a computational fluid dynamics (CFD) model. Our results indicate that these transient near-surface lenses create significant horizontal density gradients and spread as gravity currents, influencing the propagation of oil slicks.

Original language	American English
Pages	5753-5756
Number of pages	4
DOIs	https://doi.org/10.1109/igarss39084.2020.9323394
State	Published - Feb 17 2021
Event	IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium - Waikoloa, HI, USA, Waikoloa, United States Duration: Sep 26 2020 → Oct 2 2020 https://ieeexplore.ieee.org/xpl/conhome/9323073/proceeding

Conference

Conference	IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	United States
City	Waikoloa
Period	9/26/20 → 10/2/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9323073/proceeding

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

Lenses
Oils
Computational modeling
Computational fluid dynamics
Satellites
Salinity (geophysical)
Synthetic aperture radar
SAR
river runoff
low-salinity lenses
oil slicks

Disciplines

Marine Biology
Oceanography and Atmospheric Sciences and Meteorology

Access to Document

10.1109/igarss39084.2020.9323394

Cite this

Soloviev, A., Vanderplow, B. L., Dean, C., Schwarz, E., Lehner, S., Shen, H., Perrie, W., & Schuler, P. (2021). High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick. 5753-5756. Paper presented at IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, United States. https://doi.org/10.1109/igarss39084.2020.9323394

High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick. / Soloviev, Alexander; Vanderplow, Breanna L; Dean, Cayla et al.
2021. 5753-5756 Paper presented at IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, United States.

Research output: Contribution to conference › Paper

Soloviev, A, Vanderplow, BL, Dean, C, Schwarz, E, Lehner, S, Shen, H, Perrie, W & Schuler, P 2021, 'High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick', Paper presented at IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, United States, 9/26/20 - 10/2/20 pp. 5753-5756. https://doi.org/10.1109/igarss39084.2020.9323394

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title = "High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick",

abstract = " River runoff on the Louisiana Coast produces shallow, low-salinity lenses. Due to the presence of a leaking oil platform (Taylor Energy), the fine structure of these lenses is visible in synthetic aperture radar (SAR) imagery. In this paper, we report results of the comprehensive study including high-resolution remote sensing and in-situ observations of low-salinity lenses on the Louisiana Coast as well as modeling the lens using a computational fluid dynamics (CFD) model. Our results indicate that these transient near-surface lenses create significant horizontal density gradients and spread as gravity currents, influencing the propagation of oil slicks.",

keywords = "Lenses, Oils, Computational modeling, Computational fluid dynamics, Satellites, Salinity (geophysical), Synthetic aperture radar, SAR, river runoff, low-salinity lenses, oil slicks",

author = "Alexander Soloviev and Vanderplow, \{Breanna L\} and Cayla Dean and Egbert Schwarz and Susanne Lehner and Hui Shen and William Perrie and Paul Schuler",

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AU - Dean, Cayla

AU - Schwarz, Egbert

AU - Lehner, Susanne

AU - Shen, Hui

AU - Perrie, William

AU - Schuler, Paul

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2021/2/17

Y1 - 2021/2/17

N2 - River runoff on the Louisiana Coast produces shallow, low-salinity lenses. Due to the presence of a leaking oil platform (Taylor Energy), the fine structure of these lenses is visible in synthetic aperture radar (SAR) imagery. In this paper, we report results of the comprehensive study including high-resolution remote sensing and in-situ observations of low-salinity lenses on the Louisiana Coast as well as modeling the lens using a computational fluid dynamics (CFD) model. Our results indicate that these transient near-surface lenses create significant horizontal density gradients and spread as gravity currents, influencing the propagation of oil slicks.

AB - River runoff on the Louisiana Coast produces shallow, low-salinity lenses. Due to the presence of a leaking oil platform (Taylor Energy), the fine structure of these lenses is visible in synthetic aperture radar (SAR) imagery. In this paper, we report results of the comprehensive study including high-resolution remote sensing and in-situ observations of low-salinity lenses on the Louisiana Coast as well as modeling the lens using a computational fluid dynamics (CFD) model. Our results indicate that these transient near-surface lenses create significant horizontal density gradients and spread as gravity currents, influencing the propagation of oil slicks.

KW - Lenses

KW - Oils

KW - Computational modeling

KW - Computational fluid dynamics

KW - Satellites

KW - Salinity (geophysical)

KW - Synthetic aperture radar

KW - SAR

KW - river runoff

KW - low-salinity lenses

KW - oil slicks

UR - https://nsuworks.nova.edu/occ_facarticles/1139

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DO - 10.1109/igarss39084.2020.9323394

M3 - Paper

SP - 5753

EP - 5756

T2 - IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 26 September 2020 through 2 October 2020

ER -

High-Resolution Remote Sensing, In-Situ Observations, and Modeling of Low-Salinity Lenses in the Presence of Oil Slick

Abstract

Conference

Bibliographical note

Keywords

Disciplines

Access to Document

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