@article{08e3d27166b34d87a77ba505d8b9e403,
title = "Beach tar accumulation, transport mechanisms, and sources of variability at Coal Oil Point, California",
abstract = "A new field method for tar quantification was used at Coal Oil Point (COP), California to study the mechanisms transporting oil/tar from the nearby COP natural marine hydrocarbon seep field. This method segregates tar pieces into six size classes and assigns them an average mass based on laboratory or direct field measurements. Tar accumulation on the 19,927 m2 survey area was well resolved spatially by recording tar mass along twelve transects segmented into 4-m2 blocks and then integrating over the survey area. A seasonal trend was apparent in total tar in which summer accumulations were an order of magnitude higher than winter accumulations. Based on multiple regression analyses between environmental data and tar accumulation, 34% of tar variability is explained by a combination of onshore advection via wind and low swell height inhibiting slick dispersion.",
keywords = "Oil advection, Oil slick, Santa Barbara Channel, Seeps, Tar",
author = "{Del Sontro}, {Tonya S.} and Ira Leifer and Luyendyk, {Bruce P.} and Broitman, {Bernardo R.}",
note = "Funding Information: The Investigators of this Project are affiliated with the University of California Energy Institute (UCEI). Preparation of this proposal was supported [in part] by a competitive grant from UCEI. The Shoreline Preservation Fund of the University of California, Santa Barbara (UCSB) is gratefully acknowledged for funding and support. Much appreciation goes to the tar surveyors: Danielle Danetra, Jason Levine, Kevin Nesh, Stephanie Satoorian, Alexandra Magana, Garrett Brown, Tanya Sanchez, and Sandhya Tillotson. Special thanks to Cris Sandoval of the Coal Oil Point Reserve and Miriam Polne-Fuller of UCSB Summer Sessions. Wind data is thanks to Marc Moritch of the Santa Barbara Air Quality Control District. Special thanks to Libe Washburn and Brian Emery of the Institute for Computational Earth System Science at UCSB for CODAR data. Thanks to the Coastal Data Information Program of the SCRIPPS Institution of Oceanography in San Diego, CA for swell and SST data. Sea temperature data is based upon work done by the Santa Barbara Coastal LTER, which is supported by the National Science Foundation under Cooperative Agreement #OCE-9982105. Any opinions, findings, or recommendations expressed in the material are those of author(s) and do not necessarily reflect the view of the National Science Foundation. Views and conclusions in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the US government or UCSB. ",
year = "2007",
month = sep,
doi = "10.1016/j.marpolbul.2007.04.022",
language = "English",
volume = "54",
pages = "1461--1471",
journal = "Marine Pollution Bulletin",
issn = "0025-326X",
publisher = "Elsevier Ltd.",
number = "9",
}