Assessment of the influence of meteorological and vehicular factors on the deposition of atmospheric sedimentable dust in Huánuco, Peru

Spatial variability and meteorological associations of pm₂.₅ and pm₁₀ across paved and unpaved roads in Abeokuta, Nigeria

Urban Particulate Matter (PM) in rapidly expanding tropical cities is strongly associated with boundary-layer processes, surface characteristics, and mechanical resuspension mechanisms. Understanding the spatial behavior of fine (PM₂.₅) and coarse (PM₁₀) aerosols across contrasting surface types is critical for charact...

Dynamics of the spatiotemporal correlation between Aerosol Optical Depth satellite data and PM2.5 surface monitoring: An exploratory approach

PM2.5 is a major air pollutant with diverse natural and anthropogenic sources, which significantly impacts human health and the environment. Remote sensing serves as a complementary resource for air-monitoring networks, providing valuable information on the spatiotemporal patterns of air pollutants at a global scale Th...

Meteorological drivers of ambient PM2.5 pollution at urban traffic intersections in Accra, Ghana

INFLUENCE OF SURFACE METEOROLOGICAL DATA ON AERMOD-SIMULATED TSP DISPERSION FROM MDF FACTORY

This study evaluates the influence of surface meteorological data on the dispersion of Total Suspended Particulates (TSP) emitted from a Medium Density Fiberboard (MDF) factory in Southern Thailand using AERMOD model. Meteorological inputs from two nearby stations, Khohong and Sadao, were applied to simulate emissions...

Spatiotemporal assessment of urban PM₁₀ and population exposure using integrated satellite, meteorological, and socio-spatial data

Introduction The pollution with particulate matter is a major risk factor for population health, especially in urban environments, where the interaction between anthropogenic sources, meteorological conditions and built environment characteristics generates complex spatial patterns of exposure. In this context, the pre...

Roadside PM10 concentrations in relation to traffic volume and meteorological conditions in Makassar, Indonesia

This study aimed to quantify the combined influence of traffic activity and meteorological conditions on roadside PM₁₀ in Makassar, Indonesia, and to evaluate whether an integrated model provides better predictive performance than traffic-only and nonlinear alternatives. Field measurements were conducted at 30 roadside...