Assessing coastal plumes in a region of multiple discharges: the U.S.-Mexico border.

Environ Sci Technol

Marine Physical Laboratory, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, USA.

Published: October 2009

AI Article Synopsis

  • The San Diego/Tijuana border faces environmental challenges in water quality due to coastal discharges that cross political boundaries.
  • A data-driven model assesses the transport of these discharges over four years using surface current data from high-frequency radars.
  • The model's predictions are validated against fecal indicator bacteria samples and evaluated for its effectiveness in identifying low water quality using ROC analysis.

Article Abstract

The San Diego/Tijuana border region has several environmental challenges with regard to assessing water quality impacts resulting from local coastal ocean discharges for which transport is not hindered by political boundaries. While an understanding of the fate and transport of these discharged plumes has a broad audience, the spatial and temporal scales of the physical processes present numerous challenges in conducting assessment with any fidelity. To address these needs, a data-driven model of the transport of both shoreline and offshore discharges is developed and operated in a hindcast mode for a four-year period to analyze regional connectivity between the discharges and the receiving of waters and the coastline. The plume exposure hindcast model is driven by surface current data generated by a network of high-frequency radars. Observations provided by both boat-based CTD measurements and fixed oceanographic moorings are used with the Roberts-Snyder-Baumgartner model to predict the plume rise height. The surface transport model outputs are compared with shoreline samples of fecal indicator bacteria (FIB), and the skill of the model to assess low water quality is evaluated using receiver operating characteristic (ROC) analysis.

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Source
http://dx.doi.org/10.1021/es900775pDOI Listing

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