High-resolution urban air pollution mapping
JS Apte, C Manchanda - Science, 2024 - science.org
Variation in urban air pollution arises because of complex spatial, temporal, and chemical
processes, which profoundly affect population exposure, human health, and environmental …
processes, which profoundly affect population exposure, human health, and environmental …
Dynamic assessment of population exposure to traffic-originated PM2. 5 based on multisource geo-spatial data
Air pollution caused by PM 2.5 is a significant public health concern, with vehicle emissions
being a major contributor. Previous research focused on assessing personal exposure in …
being a major contributor. Previous research focused on assessing personal exposure in …
Airborne nanoparticle concentrations are associated with increased mortality risk in Canada's two largest cities
Rationale: Outdoor fine particulate air pollution (particulate matter with an aerodynamic
diameter⩽ 2.5 μm; PM2. 5) contributes to millions of deaths around the world each year, but …
diameter⩽ 2.5 μm; PM2. 5) contributes to millions of deaths around the world each year, but …
[HTML][HTML] Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment
Background Traffic-related air pollution (TRAP) is a major contributor to urban pollution and
varies sharply at the street level, posing a challenge for air quality modeling. Traditional land …
varies sharply at the street level, posing a challenge for air quality modeling. Traditional land …
Capturing exposure disparities with chemical transport models: evaluating the suitability of downscaling using land use regression
High resolution exposure surfaces are essential to capture disparities in exposure to traffic-
related air pollution in urban areas. In this study, we develop an approach to downscale …
related air pollution in urban areas. In this study, we develop an approach to downscale …
Spatial and spatiotemporal modelling of intra-urban ultrafine particles: A comparison of linear, nonlinear, regularized, and machine learning methods
Background Machine learning methods are proposed to improve the predictions of ambient
air pollution, yet few studies have compared ultrafine particles (UFP) models across a broad …
air pollution, yet few studies have compared ultrafine particles (UFP) models across a broad …
Ultrafine Particle Generation from Ozone Oxidation of Cannabis Smoke
Cannabis smoke is a complex aerosol mixture, featuring characteristic monoterpenes and
sesquiterpenes which are susceptible to reaction with ozone and other oxidants. These …
sesquiterpenes which are susceptible to reaction with ozone and other oxidants. These …
[HTML][HTML] Airborne ultrafine particle concentrations and brain cancer incidence in Canada's two largest cities
Background Malignant brain tumours are rare, but are important to study because survival
rates are low and few modifiable risk factors have been identified. Existing evidence …
rates are low and few modifiable risk factors have been identified. Existing evidence …
[HTML][HTML] High-resolution spatial and spatiotemporal modelling of air pollution using fixed site and mobile monitoring in a Canadian city
The development of high-resolution spatial and spatiotemporal models of air pollutants is
essential for exposure science and epidemiological applications. While fixed-site sampling …
essential for exposure science and epidemiological applications. While fixed-site sampling …
Exploring the triple burden of social disadvantage, mobility poverty, and exposure to traffic-related air pollution
Understanding the relationships between ultrafine particle (UFP) exposure, socioeconomic
status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for …
status (SES), and sustainable transportation accessibility in Toronto, Canada is crucial for …