Helsinki Air Pollution Measurements from Mobile and Stationary Sensors in 2017

2017 mobile and stationary air pollution measurements collected around an air quality monitoring site on Mäkelänkatu in Helsinki, Finland. The dataset was created by Mona Kurppa of the University of Helsinki for evaluating high-resolution air quality simulations with the PALM model system. It includes drone-based vertical profiles, mobile laboratory 'Sniffer' data, and observations from the SMEAR III station.

Use Cases

• Validate high-resolution urban air quality model outputs based on the PALM system mentioned in the description
• Analyze seasonal variations in aerosol properties based on summer and winter 2017 drone measurements
• Study the horizontal distribution of pollutants in an urban environment based on mobile laboratory 'Sniffer' data
• Investigate relationships between meteorology and air quality based on co-located meteorological observations

Strengths

• Includes multiple complementary measurement types such as drone profiles, mobile lab data, and stationary monitoring
• Data was collected for the specific purpose of model evaluation, suggesting a focused experimental design
• Covers both summer and winter periods in 2017, allowing for seasonal analysis

Limitations

• Row count and overall dataset size are unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

University of Helsinki

Collection Method

Measurements from drones, a mobile laboratory ('Sniffer'), and fixed monitoring stations including the SMEAR III site.

Time Range

2017

Geography

Helsinki, Finland, specifically around Mäkelänkatu and the Kumpula area.