Publications by authors named "Mona Kurppa"
Article Synopsis
- ENFUSER is an operational urban air quality modeling system that integrates various dispersion modeling methods and utilizes data from global open-access sources for accurate pollution assessments.
- It combines geographic datasets for worldwide applicability, employing Gaussian puff and plume modeling for urban dispersion while also addressing long-range pollutant transport with a regional model.
- The system features a data assimilation technique that adjusts emission factors and background values in real-time, enhancing accuracy even in urban areas with limited emissions inventory data.
Urban air pollutant concentrations are highly variable both in space and time. In order to understand these variabilities high-resolution measurements of air pollutants are needed. Here we present results of a mobile laboratory and a drone measurements made within a street-canyon network in Helsinki, Finland, in summer and winter 2017.
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- Atmospheric reactions during haze days contribute to 80-90% of aerosol mass in Beijing, with over 65% of haze particles originating from new particle formation (NPF).
- Haze formation accelerates when the growth of newly formed particles is enhanced, indicating that nearly all haze episodes stem from NPF due to declines in primary particle emissions in recent years.
- Reducing the growth rate of fresh particles can delay haze buildup by 1-3 days and potentially halve the annual number of haze days, achievable by targeting specific gas-phase precursors like dimethyl amine, ammonia, and sulfur oxides.