Affiliation:
Atmospheric Sciences Research Center, University at Albany, State University of New York
Short Biography, Research Interests and Goals, Abstract:
Dr. Prakash Doraiswamy is currently a post doctoral research associate at the Atmospheric Sciences Research Center at University at Albany, on assignment to the Bureau of Air Quality Analysis and Research at the New York State Department of Environmental Conservation (NYSDEC). He has a Ph.D. in Environmental Engineering (Air Quality) from the University of Tennessee at Knoxville, a M.S. in Environmental Engineering from Tennessee Technological University and a B. Tech in Chemical Engineering from Anna University, India. He was a recipient of the national A&WMA scholarship during 2000-2001, and the prestigious Yates Dissertation Fellowship at the University of Tennessee during 2003-2004.
Dr. Doraiswamy has been actively involved in a number of air quality related projects. His experience covers a broad range of areas, including air quality measurements, emission inventory development and processing, air quality modeling and management. He managed an EPA sponsored study on the air quality inside heavy-duty diesel truck cabs during idling and its relation to the ambient air pollution in truck stops (rest area). He has also compared and investigated the differences between the various black carbon/elemental carbon measurement methods. Dr. Doraiswamy has extensive experience in photochemical air quality modeling and their implications on air quality management. His long-term goal is to teach and conduct research in air quality, collaborate with international experts in the environmental field and contribute towards the improvement of the environmental conditions worldwide.
In his current research, he is evaluating the performance of a three-dimensional air quality model in forecasting fine particle (PM2.5) concentrations, as part of a collaborative effort between the NYSDEC, EPA and NOAA. The application of such models for air quality forecasting has been relatively recent (within the past 5-7 years). Much of this focus has been on ozone and relatively less on fine particles. Recent research has shown that the bias (difference between predicted and measured) in the 24-hr average PM2.5 mass concentrations is larger at higher measured mass concentrations. Moreover, a comparison of the predicted diurnal profiles with measured values shows significant differences during summer, implying deficiencies within the model and the need for further improvement. The proposed work aims at conducting a comprehensive diagnostic evaluation of the model for PM2.5 mass and species predictions. The study will identify the causes of the observed distribution in prediction bias as a function of mass concentration by site and season. Further, it will identify discrepancies between predicted
Atmospheric Sciences Research Center, University at Albany, State University of New York
Short Biography, Research Interests and Goals, Abstract:
Dr. Prakash Doraiswamy is currently a post doctoral research associate at the Atmospheric Sciences Research Center at University at Albany, on assignment to the Bureau of Air Quality Analysis and Research at the New York State Department of Environmental Conservation (NYSDEC). He has a Ph.D. in Environmental Engineering (Air Quality) from the University of Tennessee at Knoxville, a M.S. in Environmental Engineering from Tennessee Technological University and a B. Tech in Chemical Engineering from Anna University, India. He was a recipient of the national A&WMA scholarship during 2000-2001, and the prestigious Yates Dissertation Fellowship at the University of Tennessee during 2003-2004.
Dr. Doraiswamy has been actively involved in a number of air quality related projects. His experience covers a broad range of areas, including air quality measurements, emission inventory development and processing, air quality modeling and management. He managed an EPA sponsored study on the air quality inside heavy-duty diesel truck cabs during idling and its relation to the ambient air pollution in truck stops (rest area). He has also compared and investigated the differences between the various black carbon/elemental carbon measurement methods. Dr. Doraiswamy has extensive experience in photochemical air quality modeling and their implications on air quality management. His long-term goal is to teach and conduct research in air quality, collaborate with international experts in the environmental field and contribute towards the improvement of the environmental conditions worldwide.
In his current research, he is evaluating the performance of a three-dimensional air quality model in forecasting fine particle (PM2.5) concentrations, as part of a collaborative effort between the NYSDEC, EPA and NOAA. The application of such models for air quality forecasting has been relatively recent (within the past 5-7 years). Much of this focus has been on ozone and relatively less on fine particles. Recent research has shown that the bias (difference between predicted and measured) in the 24-hr average PM2.5 mass concentrations is larger at higher measured mass concentrations. Moreover, a comparison of the predicted diurnal profiles with measured values shows significant differences during summer, implying deficiencies within the model and the need for further improvement. The proposed work aims at conducting a comprehensive diagnostic evaluation of the model for PM2.5 mass and species predictions. The study will identify the causes of the observed distribution in prediction bias as a function of mass concentration by site and season. Further, it will identify discrepancies between predicted