Drought Impact on Air Quality
Are higher atmospheric aerosol levels and droughts related? To address this question, we explore the relation between atmospheric aerosol loading and droughts using insitu and satellite observations over different urban/rural settings and heterogeneous drought conditions.
A related objective was to report on the relationship and the variability between aerosol optical depth (AOD) retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) and insitu particular matter (PM2.5 and PM10) over different land use. Daily measurement of PM2.5 and PM10 data were retrieved from seven EPA air quality monitoring stations in Indiana: Virgo, Lake and Clark County in urban area, Marion, Know and Henry County in agriculture area, and Delaware County in suburban area during summer (June 1 – August 31, 2007) and winter (January 1, 2007 – March 31, 2007). The MODIS AOD data were extracted from the daily MODIS L2 land aerosol products at 0.55 um wavelength with 10 x 10 1 km resolution grids. The Geographic Information System (GIS) was used to determine the closet coordinate of observation stations from MODIS images. The drought status was obtained from the US Drought Monitor and the Standardized Precipitation Index.
A regression analysis was undertaken to compare daily insitu PM 2.5 and PM10 measurements with the column integrated MODIS AOD values. Results indicate higher AOD values under drought conditions during summer period and severe drought occurrence. The data also shows higher variability and lesser correlation between the column integrated MODIS AOD and the PM measurements during summer and fall seasons. The difference between column integrated versus surface measurements is more with high values of AOD and drought condition. The average correlations between AOD and PM2.5 and PM 10 are 0.6 and 0.3 respectively for all land use. The average bias during drought condition (summer) is 0.23 and during non drought (winter) is 1.44 in urban area. In agriculture area the bias is higher than urban area during drought(0.48) but is lower than urban area during non drought (-0.14). The correlation of AOD, PM2.5 and PM 10 in agricultural area is higher than the correlation in urban area with AOD being relatively comparable with the PM 2.5 concentration. Further study is underway to understand the relationship between the air pollution feedback and climate variability and local drought conditions using satellite datasets.