Synopsis: Data analysis and visualization are becoming an increasingly important part of forensic geochemical and geophysical legal proceedings. Gain a thorough understanding of how to use these techniques to explain complex environmental data by attending this training session.
Start Time: Friday, July 27, 2018 8:30 AM
End Time: Friday, July 27, 2018 4:30 PM
Location: Off-Campus Locations
Address: No Street Address
Campus: Off Campus
Room: The Atrium, Sequoia - Room 120
City, State, Country: Somerset, NJ US
Fee: See website
Sponsor: Rutgers Office of Continuing Professional Education
Category: Workshop, Course
Web Site: http://www.cpe.rutgers.edu/courses/current/el0405ca.html
Contact Name: Pamela Springard-Mayer
Contact Email: pspring@njaes.rutgers.edu
Contact Phone: (848) 932-7463
Additional Information:

The course will begin with an overview of the importance of reliable study designs that follow established scientific principles. EPA documents, hydrological investigations, target hydrocarbons, and petroleum biomarkers will all be discussed. The process for establishing comprehensive conceptual site models to present investigation results in a clear and understandable manner will also be covered.

The course instructors will then lead discussions on gasoline range (GR) data and distillate range (DR) data, providing in-depth instruction on the following topics:

  • Various statistical visualization techniques
  • For GR data: regression analyses, ternary analyses, and approaches for dealing with large datasets for paraffin, isoparaffin, aromatic, naphthenic and olefin (PIANO)
  • For DR data: approaches for normal alkanes, isoparaffins, simple aromatic and polycyclic aromatic hydrocarbons and biomarkers
  • Modeling of discharges: the approaches and basic physical parameters
  • Three-dimensional computer modeling of discharges
  • Real world example results of courtroom discussions of plume transports

For the largest and most complex datasets (including PAH, PCB and PCDD/F), approaches for distributional analysis used for source assessment and pattern recognition will be discussed. Students will gain an understanding of the strengths and limitations of different approaches, and will leave the course with the knowledge to formulate a comprehensive conceptual site model for courtroom settings.

Target Audience: Alumni,  General Public