Creating Building Blocks for a More Dynamic Air Quality Management FrameworkEPA Grant Number: R835215
Title: Creating Building Blocks for a More Dynamic Air Quality Management Framework
Investigators: Demerjian, Kenneth L. , Mao, Huiting
Current Investigators: Demerjian, Kenneth L. , Beauharnois, Mark , Bielawa, Robert , Civerolo, Kevin , Hogrefe, Christian , Ku, Michael , Mao, Huiting , Yun, Jeongran
Institution: The State University of New York at Albany , SUNY College of Environmental Science and Forestry
Current Institution: The State University of New York at Albany , New York State Department of Environmental Conservation , SUNY College of Environmental Science and Forestry , U.S. EPA
EPA Project Officer: Chung, Serena
Project Period: June 1, 2012 through May 31, 2015 (Extended to May 31, 2016)
Project Amount: $499,945
RFA: Dynamic Air Quality Management (2011) RFA Text | Recipients Lists
Research Category: Air Quality and Air Toxics , Air
The overall objectives of the proposed work are: 1) to develop a prototype system for providing real-time information on the contribution of short-term emission sources to air quality in relation to other source categories and the potential air quality benefits from episodic control measures; and 2) perform a comprehensive multipollutant air quality assessment that would examine trends in pollutant concentrations versus emission controls, co-pollutant effects, and develop possible indicators that may aid in improved tracking of the effect of emission controls.
To accomplish the first objective, we propose to enhance an existing air quality forecast modeling system by incorporating real-time information on the predicted fluctuations of power plant and mobile source emissions and calculating sensitivities of predicted pollutant concentrations to emission perturbations that reflect hypothetical episodic control measures. This effort will utilize existing emission data sets, archived power sector load and generation forecasts, observed meteorological data, mobile source emission factor tables, and a photochemical model instrumented to calculate not only concentrations but also sensitivity fields towards perturbations in emissions. To accomplish the second objective, we propose to conduct a comprehensive review of past changes in emissions (both projected and, where available, actual), emission tracers and multi-pollutant relationships, and predicted and actual changes in ozone and its precursors.
The proposed research is expected to produce 1) a prototype episodic air quality management tool, b) an assessment of the historic relationships between planned/actual changes in emissions and pollutant concentrations, and c) an assessment of the impacts of inter-annual variability and emission changes on multi pollutant relationships in rural and urban environments. It is also expected that these results will then be analyzed by air quality planners collaborating on the project to identify avenues for making progress towards a more adaptive, dynamic air quality planning framework.