Bridging the lab to field divide: Advancing oil spill biological effects models requires revisiting aquatic toxicity testing DOI Creative Commons
Deborah French-McCay, Thomas F. Parkerton, Benjamin de Jourdan

и другие.

Aquatic Toxicology, Год журнала: 2023, Номер 256, С. 106389 - 106389

Опубликована: Янв. 6, 2023

Oil fate and exposure modeling addresses the complexities of oil composition, weathering, partitioning in environment, distributions behaviors aquatic biota to estimate histories, i.e., component concentrations environmental conditions experienced over time. Several approaches with increasing levels complexity (i.e., toxicity model tiers, corresponding varying purposes applications) have been continue be developed predict adverse effects resulting from these exposures. At Tiers 1 2, toxicity-based screening thresholds for assumed representative compositions are used inform spill response risk evaluations, requiring limited data, analytical characterizations, computer resources. Concentration-response relationships employed Tier 3 quantify mixture compositions. capabilities presently allow predictions spatial temporal compositional changes during exposure, which support mixture-based frameworks. Such rely on summed components using toxic units enable more realistic analyses (Tier 4). This review provides guidance toxicological studies development of, provide input to, validate 4 models assessing biota. Evaluation organisms’ histories a unit reflects current state-of the-science an improved approach quantifying constituents organisms. Since tests not field exposures, modelers single compounds build accounting additive dynamic exposures that occur after spills. Single compound data needed influence duration modifying factors (e.g., temperature, light) observed advancing use this framework. Well-characterized whole bioassay should refine models.

Язык: Английский

Environmental effects of the Deepwater Horizon oil spill: A review DOI
Jonny Beyer, Hilde Cecilie Trannum,

T. Bakke

и другие.

Marine Pollution Bulletin, Год журнала: 2016, Номер 110(1), С. 28 - 51

Опубликована: Июнь 19, 2016

Язык: Английский

Процитировано

673

Lagrangian ocean analysis: Fundamentals and practices DOI Creative Commons
Erik van Sebille, Stephen M. Griffies, Ryan Abernathey

и другие.

Ocean Modelling, Год журнала: 2017, Номер 121, С. 49 - 75

Опубликована: Ноя. 24, 2017

Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other velocity data such as from altimetry. In approach, large sets virtual particles are integrated within three-dimensional, time-evolving fields. Over several decades, variety tools methods for this purpose have emerged. Here, we review state art in field data, starting fundamental kinematic framework with focus on large-scale open applications. Beyond use explicit fields, consider influence unresolved physics dynamics particle trajectories. We comprehensively list discuss currently available tracking particles. then showcase some innovative applications trajectory conclude questions an outlook. The overall goal paper reconcile different techniques analysis, while recognising rich diversity codes that continue emerge, challenges coming age petascale computing.

Язык: Английский

Процитировано

542

Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean DOI
Claire B. Paris,

Judith Helgers,

Erik van Sebille

и другие.

Environmental Modelling & Software, Год журнала: 2013, Номер 42, С. 47 - 54

Опубликована: Фев. 5, 2013

Язык: Английский

Процитировано

312

Assessing the impacts of oil-associated marine snow formation and sedimentation during and after the Deepwater Horizon oil spill DOI Creative Commons
Kendra L. Daly, Uta Passow, Jeffrey P. Chanton

и другие.

Anthropocene, Год журнала: 2016, Номер 13, С. 18 - 33

Опубликована: Фев. 2, 2016

The Deepwater Horizon oil spill was the largest in US history, unprecedented for depth and volume of released, amount dispersants applied, unexpected, protracted sedimentation oil-associated marine snow (MOS) to seafloor. Marine formation, incorporation oil, subsequent gravitational settling seafloor (i.e., MOSSFA: Oil Snow Sedimentation Flocculent Accumulation) a significant pathway distribution fate accounting as much 14% total released. Long residence times on will result prolonged exposure by benthic organisms economically important fish. Bioaccumulation hydrocarbons into food web also has been documented. Major surface processes governing MOSSFA event included an elevated extended Mississippi River discharge, which enhanced phytoplankton production suspended particle concentrations, zooplankton grazing, microbial mucus formation. Previous reports indicated that MOS occurred during Tsesis Ixtoc-I spills; thus, events may occur future spills, particularly since 85% global deep-water exploration sites are adjacent deltaic systems. We provide conceptual framework identify data gaps help guide current research improve our ability predict under different environmental conditions. Baseline time-series model development urgently needed all levels ecosystems regions hydrocarbon extraction prepare respond spills understand impacts environment.

Язык: Английский

Процитировано

244

Fallout plume of submerged oil from Deepwater Horizon DOI Open Access
David L. Valentine, G. Burch Fisher, Sarah C. Bagby

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2014, Номер 111(45), С. 15906 - 15911

Опубликована: Окт. 27, 2014

Significance Following the sinking of Deepwater Horizon in Gulf Mexico an unprecedented quantity oil irrupted into ocean at a depth 1.5 km. The novelty this event makes oil’s subsequent fate deep difficult to predict. This work identifies fallout plume hydrocarbons from Macondo Well contaminating floor over area 3,200 km 2 . Our analysis suggests initially was suspended waters and then settled underlying sea floor. spatial distribution contamination implicates accelerated settling as important for oil, supports patchwork mosaic model deposition, frames ongoing attempts determine event’s impact on deep-ocean ecology.

Язык: Английский

Процитировано

238

Natural and unnatural oil slicks in the Gulf of Mexico DOI Creative Commons
Ian R. MacDonald, Oscar Garcia‐Pineda, Andrew Beet

и другие.

Journal of Geophysical Research Oceans, Год журнала: 2015, Номер 120(12), С. 8364 - 8380

Опубликована: Дек. 1, 2015

Abstract When wind speeds are 2–10 m s −1 , reflective contrasts in the ocean surface make oil slicks visible to synthetic aperture radar (SAR) under all sky conditions. Neural network analysis of satellite SAR images quantified magnitude and distribution Gulf Mexico from persistent, natural seeps Deepwater Horizon (DWH) discharge. This identified 914 seep zones across entire pre‐2010 data. Their ∼0.1 µm covered an aggregated average 775 km 2 . Assuming volume 77.5 3 over 8–24 h lifespan per slick, floating indicates a flux 2.5–9.4 × 10 4 yr Oil was regionally concentrated: 68%, 25%, 7%, <1% total observed NW, SW, NE, SE Gulf, respectively. reflects differences basin history hydrocarbon generation. 2010 showed that 87 day DWH discharge produced surface‐oil footprint fundamentally different background seepage, with area 11,200 (SD 5028) 22,600 5411). Peak magnitudes were detected during equivalent, ∼14 intervals around 23 May 18 June, when remained <5 Over this interval, decreased by 21%; increased 49% ( p < 0.1), potentially altering its ecological impact. The most likely causes applications dispersant burning operations.

Язык: Английский

Процитировано

234

Surface Evolution of the Deepwater Horizon Oil Spill Patch: Combined Effects of Circulation and Wind-Induced Drift DOI
Matthieu Le Hénaff, Vassiliki H. Kourafalou, Claire B. Paris

и другие.

Environmental Science & Technology, Год журнала: 2012, Номер 46(13), С. 7267 - 7273

Опубликована: Май 31, 2012

Following the Deepwater Horizon blowout, major concerns were raised about probability that Loop Current would entrain oil at surface of Gulf Mexico toward South Florida. However, such a scenario did not materialize. Results from modeling approach suggest prevailing winds, through drift they induced ocean surface, played role in pushing coasts along northern Gulf, and, synergy with evolution, prevented reaching Florida Straits. This implies both oceanic currents and wind-induced must be taken into account for successful forecasting trajectories landfall particles, even energetic environments as Mexico. Consequently, time range these predictions is limited to weather range, addition set up by capabilities.

Язык: Английский

Процитировано

143

Hydrocarbons in Deep-Sea Sediments following the 2010 Deepwater Horizon Blowout in the Northeast Gulf of Mexico DOI Creative Commons
Isabel C. Romero, Patrick Schwing,

Gregg R. Brooks

и другие.

PLoS ONE, Год журнала: 2015, Номер 10(5), С. e0128371 - e0128371

Опубликована: Май 28, 2015

The Deepwater Horizon (DWH) spill released 4.9 million barrels of oil into the Gulf Mexico (GoM) over 87 days. Sediment and water sampling efforts were concentrated SW DWH in coastal areas. Here we present geochemistry data from sediment cores collected aftermath event 1000 – 1500 m depth DeSoto Canyon, NE wellhead. Cores analyzed at high-resolution (at 2 mm 5 intervals) order to evaluate concentration, composition input hydrocarbons seafloor. Specifically, total organic carbon (TOC), aliphatic, polycyclic aromatic hydrocarbon (PAHs), biomarker (hopanes, steranes, diasteranes) compounds elucidate possible sources transport pathways for deposition hydrocarbons. Results showed higher concentrations during 2010-2011 compared years prior 2010. Hydrocarbon inputs composed a mixture including terrestrial, planktonic, weathered oil. Our results suggest that after event, both soluble highly insoluble deposited enhanced rates deep-sea. We proposed two distinct deposition: 1) sinking oil-particle aggregates (hydrocarbon-contaminated marine snow and/or suspended particulate material), 2) advective direct contact deep plume with continental slope surface sediments between 1000-1200 m. findings underline complexity depositional observed terms multiple sources, variable concentrations, spatial (depth-related) variability

Язык: Английский

Процитировано

135

Footprint of Deepwater Horizon blowout impact to deep-water coral communities DOI Open Access
Charles R. Fisher, Pen‐Yuan Hsing,

Carl L. Kaiser

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2014, Номер 111(32), С. 11744 - 11749

Опубликована: Июль 28, 2014

Significance The Deepwater Horizon blowout released more oil and gas into the deep sea than any previous spill. Soon after well was capped, a deep-sea community 13 km southwest of wellhead discovered with corals that had been damaged by Here we show this not an isolated incident; at least two other coral communities were also impacted One almost twice as far from in 50% deeper water, considerably expanding known area impact. In addition, four newly region fouled commercial fishing line, indicating large cumulative effect anthropogenic activities on Gulf Mexico.

Язык: Английский

Процитировано

129

A general framework for propagule dispersal in mangroves DOI
Tom Van der Stocken, Alison K. S. Wee,

Dennis J. R. De Ryck

и другие.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Год журнала: 2019, Номер 94(4), С. 1547 - 1575

Опубликована: Май 6, 2019

ABSTRACT Dispersal allows species to shift their distributions in response changing climate conditions. As a result, dispersal is considered key process contributing species' long‐term persistence. For many passive dispersers, fluid dynamics of wind and water fuel these movements different have developed remarkable adaptations for utilizing this energy reach colonize suitable habitats. The seafaring propagules (fruits seeds) mangroves represent an excellent example such dispersal. Mangroves are halophytic woody plants that grow the intertidal zones along tropical subtropical shorelines produce hydrochorous with high potential. This results exceptionally large coastal ranges across vast expanses ocean geographically track conditions which they adapted. particularly relevant given challenges presented by rapid sea‐level rise, higher frequency intensity storms, changes regional precipitation temperature regimes. However, despite its importance, underlying drivers mangrove typically been studied isolation, conceptual synthesis oceanic spatial scales lacking. Here, we review current knowledge on propagule various stages process. Using general framework, outline mechanisms ecological processes known modulate patterns We show important factors remain understudied adequate empirical data determinants missing most species. aims provide baseline developing future research agendas field campaigns, filling gaps increasing our understanding shape global distributions.

Язык: Английский

Процитировано

120