Standards for air pollution are becoming more stringent. Canada will update the annual average fine particulate matter (PM2.5) standard to 8 µg m−3 in 2030, which questions the adequacy of existing PM2.5 monitoring capacity for evaluating potential exceedances and exposure risk at community level. Although PM2.5 monitoring has expanded beyond regulatory monitors to include low-cost sensors, concerns remain regarding inequalities in its effective coverage and thus data representativeness for exposure estimations. Understanding the connections between PM2.5 monitor density, surface exposure, and neighbourhood socio-economic deprivation and health vulnerability is important for addressing compounded inequities. In this study, we applied locally adaptive kernel density estimation to calculate total PM2.5 monitor density from 2020 to 2024 in Ontario, Quebec, and Atlantic Canada. Local bandwidths were defined for each monitored location by considering the surrounding variability of surface PM2.5 concentrations and its sensitivity to distinguish exceedances. Suburban communities of Montreal, Toronto, near-border regions of Windsor and Niagara, southeast Kitchener, and remote communities in northwest Ontario had observed multiple disparities, with more pronounced socio-economic marginalization, higher surface exposure, but inadequate monitoring. Based on mixed-effects logistic regression, residential instability and situationally vulnerable populations had 25% and 54% higher odds of being deprived in PM2.5 monitoring capacity, respectively, after controlling for surface PM2.5 and emission facility density. Assessments of random-effects also suggested the importance of locally adapted strategies to account for provincial and inter-municipality variations in monitoring disparities among socio-economically marginalized groups and populations with physical or psychological disabilities. Overall, our findings inform vulnerable communities in need of monitoring expansion for precise air quality control and health risk assessments in light of the new standard.
The results highlight fine-scale pollution variability not captured by regulatory monitors and underscore the need for spatially resolved assessments to guide public health interventions.
Abdulrahman N Alobireed, S. Totoni, L. Wigington et al.· Environmental science and po...· 0 citations
Air Pollution has become one of the most conspicuous pollutants around the globe today, for which Particulate Matter (PM2.5 and PM10) is inclusive, having the highest air pollutant index (API) value contrasted with the other criteria contaminations. Long-term exposure to these pollutants may lead to a marked reduction...
B. B. Kpeseh, I. Umaru, A. Mundi· International journal of res...· 0 citations
The findings indicate that extreme pollution events pose a new and growing threat to global public health, demanding a shift in policy from managing annual average concentrations to focusing on early warning and intervention for extreme pollution peaks.
Jian-Yu Deng, Peng Zhou, Jinting Guo et al.· The Innovation Medicine· 0 citations
This study investigated the spatiotemporal variability of fine particulate matter (PM2.5) in Addis Ababa, Ethiopia and assessed its associated health risks and economic burden using data from January 2022 to December 2023. Hourly PM2.5 concentrations were collected through a hybrid monitoring network comprising seven l...
The Paal Dua area of Manado City is an urban area characterized by intensive traffic and commercial activities that may contribute to elevated particulate matter concentrations in ambient air. This study aimed to determine and analyze Total Suspended Particulate (TSP), PM10, and PM2.5 concentrations at three sampling s...