CREATING BUILDING BLOCKS FOR A MORE DYNAMIC AIR QUALITY MANAGEMENT FRAMEWORK
Impact/Purpose:
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.
Description:
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.
Record Details:
Record Type:PROJECT(
ABSTRACT
)
Start Date:06/01/2012
Completion Date:05/31/2015
Record ID:
249288
Keywords:
EPISODIC EMISSION CONTROLS, ATMOSPHERIC MODELING, EMISSION AND AIR QUALITY TRENDS, MULTI-POLLUTANT ANALYSIS
,
Related Organizations:
Role
:OWNER
Organization Name
:SUNY ALBANY
Mailing Address
:1400 Washington Avenue
Citation
:Albany
State
:NY
Zip Code
:12222
Role
:OWNER
Organization Name
:SUNY COLLEGE OF ENVIRONMENTAL SCIENCE AND FORESTRY
Mailing Address
:One Forestry Dr
Citation
:Syracuse
State
:NY
Zip Code
:13210
Project Information:
Approach
:
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.
Cost
:$499,945.00
Research Component
:Air Quality and Air Toxics
Project IDs:
ID Code
:R835215
Project type
:EPA Grant