↓ Skip to main content

Mississippi River and Sea Surface Height Effects on Oil Slick Migration

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mississippi River and Sea Surface Height Effects on Oil Slick Migration
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0036037
Pubmed ID
Authors

Frederico Falcini, Douglas J. Jerolmack, Bruno Buongiorno Nardelli

Abstract

Millions of barrels of oil escaped into the Gulf of Mexico (GoM) after the 20 April, 2010 explosion of Deepwater Horizon (DH). Ocean circulation models were used to forecast oil slick migration in the GoM, however such models do not explicitly treat the effects of secondary eddy-slopes or Mississippi River (MR) hydrodynamics. Here we report oil front migration that appears to be driven by sea surface level (SSL) slopes, and identify a previously unreported effect of the MR plume: under conditions of relatively high river discharge and weak winds, a freshwater mound can form around the MR Delta. We performed temporal oil slick position and altimeter analysis, employing both interpolated altimetry data and along-track measurements for coastal applications. The observed freshwater mound appears to have pushed the DH oil slick seaward from the Delta coastline. We provide a physical mechanism for this novel effect of the MR, using a two-layer pressure-driven flow model. Results show how SSL variations can drive a cross-slope migration of surface oil slicks that may reach velocities of order km/day, and confirm a lag time of order 5-10 days between mound formation and slick migration, as observed form the satellite analysis. Incorporating these effects into more complex ocean models will improve forecasts of slick migration for future spills. More generally, large SSL variations at the MR mouth may also affect the dispersal of freshwater, nutrients and sediment associated with the MR plume.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
France 1 4%
Norway 1 4%
Switzerland 1 4%
Unknown 19 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 39%
Student > Ph. D. Student 5 22%
Student > Bachelor 3 13%
Professor > Associate Professor 2 9%
Other 1 4%
Other 1 4%
Unknown 2 9%
Readers by discipline Count As %
Earth and Planetary Sciences 10 43%
Environmental Science 4 17%
Engineering 2 9%
Physics and Astronomy 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 9%
Unknown 3 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2012.
All research outputs
#3,770,267
of 22,721,584 outputs
Outputs from PLOS ONE
#46,425
of 193,977 outputs
Outputs of similar age
#25,460
of 163,381 outputs
Outputs of similar age from PLOS ONE
#776
of 3,701 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 163,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 3,701 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.