Spatiotemporal Monitoring of Particulate Matter in Amman With Low-Cost Sensor Network

This study explores the spatiotemporal monitoring of Particulate Matter (PM) concentrations in Amman, Jordan, using a network of low-cost air quality sensors deployed across various urban and zones. Rapid urbanization increased vehicular emissions, and seasonal dust events have raised PM levels, necessitating high-resolution, real-time monitoring systems. The use of low-cost sensors provides a viable solution for continuous and spatially distributed data collection. Data collected between January 2025 and May 2025 were processed and analyzed using GIS and geospatial techniques. Results reveal significant spatial variability in PM2.5 and highlight the influence of local land use, traffic density, and meteorological factors. This paper presents a scalable approach to urban air quality monitoring and discusses its implications for public health and environmental policy. This study represents preliminary findings from the first phase of an ongoing research project entitled “Geospatial Analysis of Urban Green Space and Air Quality in Amman under the Governmental Agenda: "Amman Climate Action Plan: Amman vision 2050” which is scheduled to end by February 2026.