1 / 16

Development of Fused Spatiotemporal Air Pollutant Exposure Surrogates for Health Studies

This presentation discusses the development and evaluation of surrogate exposure metrics to better understand the impact of exposure measurement error and the benefits of using fused air pollutant data at higher spatial resolution in time-series studies. It also explores the application of data fusion methodology and future research directions.

vpalmer
Download Presentation

Development of Fused Spatiotemporal Air Pollutant Exposure Surrogates for Health Studies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. R834799 Development of Fused Spatiotemporal Air Pollutant Exposure Surrogates for Health Studies Mariel D. Friberg1, S. Sororian1, H. Holmes1, C. Ivey1, Yongtao Hu1, A. Russell1, J. Mulholland1, R. Kahn2, M. Chin2 1Georgia Institute of Technology, 2NASA Goddard Space Flight Center 24 October 2013 Air & Waste Management Association Georgia Chapter Fall Conference Atlanta, GA

  2. Motivation: Health • classified outdoor air pollution as carcinogenic to humans • evaluation showed an increasing risk of lung cancer with increasing levels of exposure to particulate matter and air pollution • in 2010, 223 000 deaths from lung cancer worldwide resulted from air pollution

  3. Motivation: Health Burden of disease attributable to 20 leading risk factors in 2010, expressed as a percentage of global disability-adjusted life-years. *Image From: Lim et al (2012), Lancet

  4. Motivation: Monetary Benefits and Costs of the Clean Air Act from 1990 to 2020 $1.9 Trillion *Image From: U.S. EPA OAR. The Benefits and Costs of the Clean Air Act from 1990 to 2020: Summary Report. March 2011. .

  5. Overall Objective • Surrogate exposure metrics can help explain apparent between-city heterogeneity in acute associations between ambient air quality and morbidity.

  6. Overview SCAPE Center Organization Southeastern Center for Air Pollution and Epidemiology (SCAPE)

  7. Specific Objective ? Develop and evaluate surrogate exposure metrics to better understand the impact of exposure measurement error and the benefits of using fused air pollutant data at higher spatial resolution in time-series studies.

  8. SCAPE Multi-City Study Area St. Louis, Missouri 2001-2003 Blair St. CSN PM2.5 = 14.5mg m-3 Dallas-Fort Worth, Texas 2006-2010 Hinton CSN PM2.5 = 10.3mg m-3 Atlanta, Georgia 1999-2004 JST SEARCH PM2.5 = 16.6mg m-3

  9. Dataset Comparison PM2.5 NOx spatial R2 ~ 0.9 spatial R2 < 0.5 temporal R2 < 0.5 temporal R2 < 0.5

  10. Dataset Comparison PM2.5 NOx spatial R2 ~ 0.9 spatial R2 < 0.5 CMAQAssessment Temporal variance Spatial variance – secondary pollutant Spatial variance – primary pollutant Strong seasonal trends temporal R2 < 0.5 temporal R2 < 0.5

  11. Example: 1-hr max NO2 (ppb)in Georgia for 21 September 2010, using 4-km resolution CTM data Data Fusion Methodology 16.3 48.2 14 40 7 Weighting Factors Combine to maximize correlation over time and space Spatially Resolved Pollutant Field, C* CMAQ 80 90 70 60 50 40 R2 30 R1 = a e g D 20 10

  12. Future Work • Apply data fusion method • Pollutants: 5 air pollutant gases and 7 airborne particulate matter measures • Location: 5 cities • Time Period: 1998-2010 • Conduct uncertainty analysis • Data Withholding

  13. Model Development MISR1Research Aerosol Retrieval Algorithm (Kahn et al., 2001) Ground Observations CTM Results (SCAPE2, DISCOVER-AQ3) Future Fusion Methodology Model Evaluation (DISCOVER-AQ3) Uncertainty Analysis (Patadia et al., 2013; Errico, 1997) Model Application (SCAPE2) 1 Multi-angle Imaging SpectroRadiometer. 2Southeastern Center for Air Pollution and Epidemiology. 3Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality field campaign.

  14. Conclusion • Surrogate exposure metrics from fusion method will be used in health studies to: • Provide best risk estimate in each city • Estimate impact of error due to spatial variation

  15. Acknowledgments • Special thanks to: • Dr. Mulholland, Dr. Russell, Dr. Holmes, Dr. Kahn, Ms. Ivey • U.S. EPA SCAPE • NASA Jenkins Graduate Fellowship • AWMA Georgia Chapter • Southern Company/ARA SCAPE Center Organization This presentation was made possible in part by USEPA and NASA. Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the funding sources and those sources do not endorse the purchase of any commercial products or services mentioned in the publication.

  16. Questions? •  http://www.scape.gatech.edu/ •  gte170u@gatech.edu SCAPE Center Organization

More Related