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INTEGRATION OF SATELLITE, MODELED, AND GROUND BASED AEROSOL DATA FOR USE IN AIR QUALITY AND PUBLIC HEALTH APPLICATIONS
Citation:
KONDRAGUNTA, S., J. SZYKMAN, C. XU, A. GILLILAND, C. KITTAKA, F. DIMMICK, AND D. M. HOLLAND. INTEGRATION OF SATELLITE, MODELED, AND GROUND BASED AEROSOL DATA FOR USE IN AIR QUALITY AND PUBLIC HEALTH APPLICATIONS. Presented at Asia-Pacific SPIE Meeting, Goe, INDIA, November 15, 2006.
Impact/Purpose:
Major Research Objectives include:
1) Statistical Combination of Environmental Data (e.g. air monitoring data, numerical model output, and satellite data). Develop statistical models and software to significantly improve the characterization of important air quality (PM2.5, O3, Hg, and air toxics) gradients for daily and weekly time periods. Modeling results from this effort will contribute to a better understanding of long-range pollution transport, improved validation of numerical models, accurate delineation of pollution non-attainment areas, and accurate input for modeled linkages to public health data. Sensitivity analyses will consider model runs over different boundary conditions, emission scenarios, and spatial resolutions. Work will be coordinated through the NERL/EMAD long-term research project.
2) Air quality - public health outcome relationships. Develop hierarchical relationships of pollution and public health outcomes adjusted for meteorology and socio-economic factors at individual U.S. cities and across broad regional areas. Through our collaborative research with CDC and state partners, FY05/06 work will focus on establishing linkages between air quality and hospital data collected in Wisconsin.
3) Estimate Temporal Trends in Air Pollution. Provide reliable trend information to the Clean Air Markets Division and the OAQPS for inclusion in their periodic reports on improvements in air quality and deposition in the US. Currently, we are developing statisticl models to estimate emission-related trends in ozone and nitrogen species. As more mercury deposition/concentration become available, our attention will shift to quantifying trends in these variables from 2000-present.
4) Provide guidance for EPA's National Air Monitoring Strategy. With recent reductions in air monitoring budgets, EPA needs to consider optimal approaches for reducing the size of existing air monitoring networks, while still maintaining the ability to reliably quantify non-attainment areas. This effort will develop new iterative algorithms to optimize network design for large-scale air and deposition monitoring networks to optimize network design.
5) Statistical Techniques for Modeling Spatial to Spatial Relationships between Land-use and Water Quality. Provide an assessment of different approaches for aggregation or analysis of water quality data that can subsequently be used in evaluating the relationship between landscape parameters and water quality in large rivers.
6) Statistical Center activities. Coordinate periodic meetings of NERL statisticians, sponsor conference in Environmental statistics on research in 2, and offer on-site training in statistical topics of common interest to NERL scientists.
Description:
Case studies of severe pollution events due to forest fires/dust storms/industrial haze, from the integrated 2001 aerosol dataset, will be presented within the context of air quality and human health.