Air Quality Monitoring From EcoCity

Context

The dataset contains data from public monitoring of air quality in Ukraine (for Vinnytsia city and region - population: 1 575 808, square: 26513 sq. km).

Content

Many stations monitor air quality day and night according to the following indicators:

• pm1 - PM1.0 (dust particles with a size of 1 μm), mkg/cub.m
• pm25 - PM2.5 (dust particles with a size of 2.5 μm), mkg/cub.m
• pm10 - PM10 (dust particles with a size of 10 μm), mkg/cub.m
• CO2 - carbon dioxide, mkg/cub.m
• temperature - temperature, in degrees Celsius
• humidity - Humidity, %
• pressure - Pressure, pascals (Pa)

In some stations, there may be additional indicators.

The stations belong to the monitoring network "Eco-City".
Data are measured at intervals of 15 seconds to several minutes (145 seconds or more). Sometimes longer periods of time are possible, due to power outages and/or communications.

Acknowledgments

I thank service "Eco-City" for the opportunity to download data.

Inspiration

It is interesting to solve the following problems, which are typical for other cities and regions around the world:

1. Analyze the basic patterns of data change in the city or regions as a whole and for each station separately (seasonality, anomalies, etc.).
2. Forecast data for the following dates, which is easy to check for new data from service "Eco-City". New data in the dataset will be updated periodically.
3. Forecast the data for the current day. For comparison, they can be downloaded from service "Eco-City" via API.
4. Compare public monitoring data with state monitoring data available through API.

I will prepare baseline notebooks to solve these problems and invite others to improve them.