Use of spatiotemporal characteristics of ambient PM_2.5 in rural South India to infer local versus regional contributions.

ABSTRACT: This study uses spatiotemporal patterns in ambient concentrations to infer the contribution of regional versus local sources. We collected 12 months of monitoring data for outdoor fine particulate matter (PM_2.5) in rural southern India. Rural India includes more than one-tenth of the global population and annually accounts for around half a million air pollution deaths, yet little is known about the relative contribution of local sources to outdoor air pollution. We measured 1-min averaged outdoor PM_2.5 concentrations during June 2015-May 2016 in three villages, which varied in population size, socioeconomic status, and type and usage of domestic fuel. The daily geometric-mean PM_2.5 concentration was ∼30 μg m^-3 (geometric standard deviation: ∼1.5

SUBMITTER: Kumar MK 

PROVIDER: S-EPMC5980999 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature