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Meet Our Scientists

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Dr. John Watson

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Dr. John Watson is a Research Professor with the Desert Research Institute, Nevada System of Higher Education in Reno, Nevada.

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Phone:  775-674-7046
Education and Experience:

Highlights of Dr. Watson’s achievements include the following:
  • Recent research includes evaluating, characterizing, and advancing methods to measure carbonaceous material in suspended particles; developing and applying real-world, multi-pollutant emission measurement technologies; and designing and conducting aerosol characterization and source apportionment studies.
  • Graduate Faculty in the Department of Atmospheric Sciences, University of Nevada, Reno (UNR).
  • Conducted and collaborated on over 120 air quality studies.
  • Developed U.S. EPA’s Chemical Mass Balance receptor modeling software and prepared EPA network design guidelines for PM2.5 and PM10.
  • Chaired the National Academy of Engineering panel on “Energy Futures and Urban Air Pollution Challenges for China and the United States.”
  • Science Advisor for the Chinese National Key 863 project “The Establishment of Pearl River Delta Regional Air Pollution Complex Monitoring Network.” Beijing, China.
  • Member of the National Academy of Science (NAS) panel on “New Source Review for Stationary Sources of Air Pollution.”
  • Member of the U.S. EPA’s Review panel for “Black Carbon Report to Congress.”
  • Published ~267 peer-reviewed journal articles and ~100 book chapters. Listed as one of top 250 highly cited authors in Ecology and Environment by ISI HighlyCited.com.
  • Ph.D., Environmental Sciences, Oregon Health and Science University (OHSU, formerly Oregon Graduate Institute).
  • M.S., Physics, University of Toledo, Ohio.
  • B.A., Physics, State University of New York at Brockport.
  • Research Professor, Division of Atmospheric Sciences, DRI (1985 to present).
  • Associate Research Professor and Director of the Air Resources Laboratory, Energy and Environmental Engineering Center, DRI (1982-1985).
  • Senior Environmental Scientist, Environmental Research and Technology, Concord, Massachusetts (1979-1982).
  • Research Fellow, Oregon Graduate Institute (now OHSU), Beaverton, Oregon (1975-1979)
  • Physics Instructor, Teachers’ College, Chiclayo, Peru, as a member of the U.S. Peace Corps (1970-1972).
Previous Appointments:
  • Adjunct Professor, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, China.
  • Adjunct Professor, Xi’an Jiaotong University, China.
  • Adjunct Professor, Nankai University, Tianjin, China.
  • Associate Editor, Sustainable Environment Research, Taiwan, China.
  • Associate Editor, Journal of the Air & Waste Management Association, Pittsburgh, Pennsylvania, USA.
Professional Affiliations:
  • Fellow, Air & Waste Management Association (A&WMA).
  • Member of the American Association for the Advancement of Science (AAAS).
  • Member, American Association for Aerosol Research (AAAR).
  • Member, American Chemical Society (ACS)
  • Member, American Geophysical Union (AGU).
Five Most Relevant Publications:
  • Watson, J.G.; Chow, J.C.; Chen, L.-W.A.; Lowenthal, D.H.; Fujita, E.M.; Kuhns, H.D.; Sodeman, D.A.; Campbell, D.E.; Moosmuller, H.; Zhu, D.Z. (2011). Particulate emission factors for mobile fossil fuel and biomass combustion sources. Science of the Total Environment, 409:2384–2396.
  • Watson, J.G.; Chen, L.-W.A.; Chow, J.C.; Lowenthal, D.H.; Doraiswamy, P. (2008). Source apportionment: Findings from the U.S. Supersite Program. Journal of the Air & Waste Management Association, 58(2):265–288.
  • Watson, J.G. (2002). Visibility: Science and regulation – 2002 Critical Review. Journal of the Air & Waste Management Association, 52(6):628–713.
  • Watson, J.G.; Chow, J.C.; Fujita, E.M. (2001). Review of volatile organic compound source apportionment by chemical mass balance. Atmospheric Environment, 35(9):1567–1584. ftp://ftp.cgenv.com/pub/downloads/Watson.pdf.
  • Watson, J.G.; Cooper, J.A.; Huntzicker, J.J. (1984). The effective variance weighting for least squares calculations applied to the mass balance receptor model. Atmospheric Environment, 18(7):1347–1355.