Bryan Duncan (PI) & Lok Lamsal (Co-I)

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Presentation transcript:

Bryan Duncan (PI) & Lok Lamsal (Co-I) A Satellite-Based Global Health Air Quality Index (HAQI)*: Development and Assessment Bryan Duncan (PI) & Lok Lamsal (Co-I) Atmospheric Chemistry and Dynamics Laboratory (614) NASA Goddard Space Flight Center Greenbelt, MD *Based on: Cooper, M., R.V. Martin, A. van Donkelaar, L. Lamsal, M. Brauer, and J. Brook, A satellite-based multi-pollutant index of global air quality, Env. Sci. and Tech., 46, 8523-8524, 2012. November 3, 2016; HAQAST #1 – Emory University

Surface Monitor Network Limitations World Air Quality Project #1 Sparse Coverage (issue of social equity) #2 Sparse Multi-Pollutant Monitors (e.g., CO at 1 monitor; PM2.5, O3 at another)

Advantages of Satellite Observations → The unique advantages of satellites is 1) global spatial coverage & 2) co-located observations of multiple pollutants. Aura/OMI NO2 Multi-Satellite: AOD → PM2.5 Lok Lamsal NASA NASA GEOS-5 Model Aaron van Donkelaar & Randall Martin Dalhousie University Lesley Ott NASA GMAO Monthly/Annual HAQI for now with goal of Near-Real Time in future.

Which AQI to use??? versus AQI = “single pollutant index” AQHI = “multi-pollutant index” (PM, O3, NO2) The health community agrees that the multi-pollutant index is better. But, if it is to adopt a multi-pollutant index, the US will have to make an investment in co-located observations of PM, O3, & NO2 = expensive. →Kevin Cromar (NYU): He is developing a multi-pollutant HAQI based on mortality and morbidity statistics for US cities wants to test his Index with satellite data since few US EPA monitors measure all air pollutants simultaneously (none in Manhattan!) and monitors are sparse.

UNICEF – Nicholas Rees Cover of a similar report on climate change. Report not available yet. UNICEF Report: “The impact of air quality on children” Lok Lamsal sent them inferred surface OMI NO2 data – NO2 is well correlated with mortality and morbidity. Randall Martin’s group (Dalhousie U.) sent inferred surface PM2.5 data (from AOD data) – the most important pollutant for mortality and morbidity. Children’s Annual Average NO2 Exposure Inferred from OMI Data Other End Users American Thoracic Society (ATS) American Public Health Association (APHA; Vina Hulamm) Global Burden of Disease (GBD) Project (Mohammad Forouzanfar) AQICN – World Air Quality Index Draft Figure