Lay Summary

Air quality monitoring stations provide critical pollution data, but a single station only reflects air quality within a limited surrounding area. This study uses microscale computational modeling to evaluate the “spatial representativeness” of urban monitoring stations—determining how far their readings reliably apply. By mapping air pollution exceedance zones across complex city layouts, the authors show how microscale simulations can complement physical sensors, helping environmental agencies optimize monitoring networks and more accurately identify urban areas exceeding legal pollution limits. (80 words)

Full Abstract

Fixed air quality monitoring stations provide precise point measurements, but determining their spatial representativeness—the geographical area where measured concentrations remain valid—is crucial for regulatory compliance and population exposure assessment. This paper combines microscale computational modeling with field measurement datasets to define spatial representativeness boundaries and identify pollutant exceedance areas in urban environments. The results demonstrate that complex street architecture significantly restricts station representativeness, underscoring the necessity of integrating microscale numerical models into regulatory air monitoring networks to accurately capture urban pollution dynamics.

Metadata

• Publication Date: 2024
• Author:  F. Martín, V. Rodrigues, J.L. Santiago, J. Sousa, J. Stocker, S. Janssen, R. Jackson, F. Russo, M.G. Villani, G. Tinarelli, D. Barbero, R. San José, J.L. Pérez-Camanyo, G. Sousa-Santos, L. Tarrason, J. Bartzis, I. Sakellaris, Z. Horváth, L. Környei, X. Jurado, P. Thunis
• Journal: Urban Climate / Science of the Total Environment