Peru RPCV John Watson is Research Professor at Desert Research Institute
JOHN G. WATSON
Research Professor
Division of Atmospheric Sciences
EDUCATION:
Ph.D., Environmental Science, Oregon Graduate Institute
M.S., Physics, University of Toledo
B.S., Physics, State University of New York at Brockport
PROFESSIONAL INTERESTS:
Dr. John Watson has over 25 years of experience in the environmental sciences, including the conduct and management of major air quality studies designed to evaluate and solve specific pollution problems. He has published more than 200 peer-reviewed articles and book chapters and is author or co-author on more than 150 technical reports. His research includes the development and evaluation of measurement processes, receptor models for source apportionment, causes and amelioration of urban and regional haze, fugitive dust and motor vehicle emissions and the effects of measurement uncertainty on model results. Dr. Watson is the primary author of EPA's Chemical Mass Balance (CMB) receptor model and its application and validation protocol. He has written EPA guidance documents for network design and continuous monitoring of particle concentrations. Dr. Watson was invited to prepare and present the 2002 Critical Review of "Visibility: Science and Regulation" for the Air and Waste Management Association. He has prepared other critical reviews of receptor-oriented source apportionment methods, fugitive dust emissions, and aerosol measurement methods.
Dr. Watson is currently principal investigator for the California Regional Particulate and Air Quality Study, the Fresno Supersite, the Southern Nevada Air Quality Study, and a Department of Defense program to quantify emissions from non-road diesel engines. Major past studies include the dry deposition component of the California Acid Deposition Monitoring Program; the 1987-88 SCENIC Denver Study; the 1989-90 Phoenix and Tucson Urban Haze and PM10 studies; the San Joaquin Valley Air Quality Study and Atmospheric Utilities Signatures, Predictions and Experiments; the Imperial Valley/Mexicali Cross-Border PM10 Transport Study; the San Joaquin Valley Regional Particulate Study; the Mt. Zirkel Visibility Study, the Northern Front Range Air Quality Study, the Robbins [Illinois] Particulate Study, and the Mexico City aerosol characterization study. Copies of reports and publications are available upon request.
RESEARCH AREAS:
Source Apportionment, Visibility, Particle Sampling and Analysis, Field Study Design and Management, Motor Vehicle and Fugitive Dust Emissions
SELECTED PUBLICATIONS:
Watson, J.G.; and Chow, J.C. (2002).
A wintertime PM2.5 episode at the Fresno, CA, supersite. Atmos. Environ., 36(3):465-475.
Watson, J.G.; Zhu, T.; Chow, J.C.; Engelbrecht, J.P.; Fujita, E.M.; and Wilson, W.E. (2002).
Receptor modeling application framework for particle source apportionment. Chemosphere, 49(9):1093-1136.
Watson, J.G. (2002).
Visibility: Science and regulation. JAWMA, 52(6):628-713.
Watson, J.G.; and Chow, J.C. (2001).
Ambient air sampling. In Aerosol Measurement: Principles, Techniques, and Applications, Second Edition, 2nd ed., P. Baron and K. Willeke, Eds. John Wiley & Sons, New York, NY, pp. 821-844.
Watson, J.G.; Chow, J.C.; and Fujita, E.M. (2001).
Review of volatile organic compound source apportionment by chemical mass balance. Atmos. Environ., 35(9):1567-1584.
Watson, J.G.; Chow, J.C.; and Houck, J.E. (2001).
PM2.5 chemical source profiles for vehicle exhaust, vegetative burning, geological material, and coal burning in northwestern Colorado during 1995. Chemosphere, 43(8):1141-1151.
Watson, J.G.; Chow, J.C.; and Pace, T.G. (2000).
Fugitive dust emissions. In Air Pollution Engineering Manual, Second Edition, 2nd ed., W.T. Davis, Ed. John Wiley & Sons, Inc., New York, pp. 117-135.
Watson, J.G.; Chow, J.C.; Bowen, J.L.; Lowenthal, D.H.; Hering, S.V.; Ouchida, P.; and Oslund, W. (2000).
Air quality measurements from the Fresno supersite. JAWMA, 50(8):1321-1334.
Watson, J.G. (1984).
Overview of receptor model principles. JAPCA, 34(6):619-623.
Watson, J.G.; Cooper, J.A.; and Huntzicker, J.J. (1984).
The effective variance weighting for least squares calculations applied to the mass balance receptor model. Atmos. Environ., 18(7):1347-1355.
Division of Atmospheric Sciences
Desert Research Institute
2215 Raggio Parkway
Reno, NV 89512-1095
(775) 674-7046
