Estimation of ambient PM(2.5) in Iraq and Kuwait from 2001 to 2018 using machine learning and remote sensing
Iraq and Kuwait are in a region of the world known to be impacted by high levels of fine particulate matter (PM(2.5)) attributable to sources that include desert dust and ambient pollution, but historically have had limited pollution monitoring networks. The inability to assess PM(2.5) concentrations have limited the assessment of the health impact of these exposures, both in the native populations and previously deployed military personnel. As part of a Department of Veterans Affairs Cooperative Studies Program health study of land-based U.S. military personnel who were previously deployed to these countries, we developed a novel approach to estimate spatially and temporarily resolved daily PM(2.5) exposures 2001–2018. Since visibility is proportional to ground-level particulate matter concentrations, we were able to take advantage of extensive airport visibility data that became available as a result of regional military operations over this time period. First, we combined a random forest machine learning and a generalized additive mixed model to estimate daily high resolution (1 km × 1 km) visibility over the region using satellite-based aerosol optical depth (AOD) and airport visibility data. The spatially and temporarily resolved visibility data were then used to estimate PM(2.5) concentrations from 2001 to 2018 by converting visibility to PM(2.5) using empirical relationships derived from available regional PM(2.5) monitoring stations. We adjusted for spatially resolved meteorological parameters, land use variables, including the Normalized Difference Vegetation Index, and satellite-derived estimates of surface dust as a measure of sandstorm activity. Cross validation indicated good model predictive ability (R(2) = 0.71), and there were considerable spatial and temporal differences in PM(2.5) across the region. Annual average PM(2.5) predictions for Iraq and Kuwait were 37 and 41 μg/m(3), respectively, which are greater than current U.S. and WHO standards. PM(2.5) concentrations in many U.S. bases and ...