The value of using seasonality and meteorological variables to model intra-urban PM_2.5 variation.

ABSTRACT: A yearlong air monitoring campaign was conducted to assess the impact of local temperature, relative humidity, and wind speed on the temporal and spatial variability of PM_2.5 in El Paso, Texas. Monitoring was conducted at four sites purposely selected to capture the local traffic variability. Effects of meteorological events on seasonal PM_2.5 variability were identified. For instance, in winter low-wind and low-temperature conditions were associated with high PM_2.5 events that contributed to elevated seasonal PM_2.5 levels. Similarly, in spring, high PM_2.5 events were associated with high-wind and low-relative humidity conditions. Correlation coefficients between meteorological variables and PM_2.5 fluctuated drastically acros

SUBMITTER: Olvera Alvarez HA 

PROVIDER: S-EPMC6166668 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature