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Contact Information:
- Smith Science Center, Rm. 214
P.O. Box 261954
Conway, SC 29528
- (843) 349-2237 (tel)
- (843) 349-2545 (fax)
- jbennet@coastal.edu
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Education:
- Yale University - Postdoctoral. 1982
- University of Washington - Ph.D. 1980
- University of Washington - M.S. 1976
- Michigan State University - B.S. 1968
Professional Experience:
- 2000- Director of Environmental Quality Lab and Instructor
Department of Marine Science, Coastal Carolina University - Conway, SC
- 1998 - 2000 Laboratory Quality Assurance Officer
EnviroData Group, LLC/Commonwealth Technology, Inc. - Lexington, Kentucky
- 1997 Lecturer in Environmental Science (part time)
Mesa State College - Grand Junction, Colorado
- 1996 - 1997 Laboratory Manager
U.S. Dept. of Energy - Grand Junction, WASTREN-Grand Junction, Grand Junction, Colorado
- 1988 - 1996 Technical Leader/Laboratory Manager
Idaho National Engineering Laboratory, Lockheed Martin Idaho Technologies/EG&G Idaho, Inc. - Idaho Falls, Idaho
- 1985 - 1988 Laboratory Quality Assurance Coordinator
E.C. Jordan Co. - Portland, Maine
- 1983 - 1985 Assistant Professor of Chemistry
Bowdoin College - Brunswick, Maine
- 1980 - 1983 Research Staff Geochemist
Yale University - New Haven, Connecticut
Courses Taught:
- Introduction to Marine Science Laboratory, MSCI 111L
Research Interests:
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My general research interests are the investigation of biogeochemical processes through bacterial, chemical, and radiochemical analyses of samples from terrestrial, riverine, estuarine, and coastal marine environments. My current research involves monitoring the sanitary quality of local surf zone waters and investigating the impact of pollution on the water quality of local aquatic and marine environments. As director of the Environmental Quality Lab at CCU, I conduct research in the application of analytical chemistry to the solution of environmental problems.
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Recent Publications and Presentations:
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Bennett, J. T. and Hall, A. M. 2003. Distribution and Fate of Enterococci Bacteria in the Surf Zone Waters of Myrtle Beach, SC. Abstract in: 12 th South Carolina Environmental Symposium, Poster Session Abstracts , October 15-17, 2003, Myrtle Beach, SC.
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Libes, S., Bennett, J., Ferguson, M., and Saeger, J. 2003. Non-Point Source Pollution in the Waccamaw River near the City on Conway: Scope of the Problem and Use of a Stormwater Best Management Practice to Achieve Load Reductions. Abstract in: 12 th South Carolina Environmental Symposium, Poster Session Abstracts , October 15-17, 2003, Myrtle Beach, SC.
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Libes, S.L., Bennett, J. T., Gilman, S. L., Dunham, V. L., and Idoux, J. P. 2004. Undergraduate Institutions as Catalysts for Integrating Research Across Disciplines and Communities of Learners. Chapter in: Reinvigorating the Undergraduate Experience: Successful Models Supported by NSF's AIRE/Raire Program, ISBN 0-941933-26-1, http://www.cur.org
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Recent Student Projects:
Undergraduate
Environmental Quality Lab Activities:
The Environmental Quality Laboratory (EQL) at Coastal Carolina University (CCU) is a non-profit facility emphasizing education, student training, research, and community service. The EQL is a small laboratory designed to produce analytical results of known, documented, and high quality.
The scope of the laboratory's chemical and microbiology capabilities extends to sampling programs for municipal and industrial wastewater, groundwater, surface water, and saltwater. The testing capabilities and techniques utilized include traditional wet chemical analysis techniques, classical and state-of-the-art instrumental analysis methods, and field measurements using portable analysis equipment.
The laboratory performs work on a routine basis for university students and faculty, private citizens, local communities, counties, and companies. The EQL currently conducts water quality monitoring for six local communities and water quality investigations for a local engineering firm. The lab maintains certifications with South Carolina Department of Health and Environmental Control appropriate to the categories of testing and data usability requirements.
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