Publications by authors named "J S Apte"

Article Synopsis
  • Long-term exposure to outdoor fine particulate air pollution is linked to increased mortality rates, but the health impacts of other traffic pollutants like ultrafine particles (UFPs) and black carbon (BC) are not well understood.
  • This study aims to investigate the relationships between long-term exposures to UFPs and BC and various mortality causes in Montreal and Toronto, using advanced modeling techniques.
  • Methods include land use regression models, machine learning approaches, and the analysis of historical vehicle emission trends, all linked to census data for a comprehensive mortality follow-up.
View Article and Find Full Text PDF

As policymakers increasingly focus on environmental justice, a key question is whether emissions reductions aimed at addressing air quality or climate change can also ameliorate persistent air pollution exposure disparities. We examine evidence from California's aggressive vehicle emissions control policy from 2000 to 2019. We find a 65% reduction in modeled statewide average exposure to PM from on-road vehicles, yet for people of color and overburdened community residents, relative exposure disparities increased.

View Article and Find Full Text PDF

Variation in urban air pollution arises because of complex spatial, temporal, and chemical processes, which profoundly affect population exposure, human health, and environmental justice. This Review highlights insights from two popular in situ measurement methods-mobile monitoring and dense sensor networks-that have distinct but complementary strengths in characterizing the dynamics and impacts of the multidimensional urban air quality system. Mobile monitoring can measure many pollutants at fine spatial scales, thereby informing about processes and control strategies.

View Article and Find Full Text PDF

Urban air pollution can vary sharply in space and time. However, few monitoring strategies can concurrently resolve spatial and temporal variation at fine scales. Here, we present a new measurement-driven spatiotemporal modeling approach that transcends the individual limitations of two complementary sampling paradigms: mobile monitoring and fixed-site sensor networks.

View Article and Find Full Text PDF