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Comparison of Long-term Air Pollution Exposure assessment based on mobile monitoring, low-cost sensors, dispersion modelling and routine monitoring-based models (CLAIRE)

Principal Investigator: 
,

Utrecht University, Netherlands

Hoek and colleagues will prepare maps of modeled annual average air pollution across the Netherlands, validate the maps using new measurements from over 100 sites, and evaluate the performance of several exposure models. The investigators will conduct cross-comparisons to evaluate how different exposure assessment methods compare in their ability to predict long-term pollutant concentrations, with a particular focus on spatial variability of pollutants.

Funded under
Status: 
Ongoing
Abstract

The abstract for the poster presented at the 2024 HEI Annual Conference can be found here.