06-02, 13:00–13:30 (Europe/Stockholm), Wadström
In air pollution management, work often follow the so-called air-quality management (AQM) cycle: monitoring, emission inventorying and atmospheric dispersion modelling. In each part of this cycle, we use QGIS extensively.
Emission inventorying is the location and determination of pollution sources, such as industries, powerplants, residential heating and traffic. We use QGIS for a large part of this work.
Atmospheric dispersion modelling models how the emission sources affect the concentration of pollutants in an area. Here we use QGIS to prepare input data, control the model results, perform analysis and to produce visualizations.
In this presention we will give a short introduction to air pollution modelling and how we use QGIS for this work. Examples from different areas of air pollution modelling will be given.
Researcher in air quality modelling at the Swedish Meteorological and Hydrological Institute (SMHI), PhD in theoretical physics.
I started to work as air quality consultant in 2010 and have used QGIS pretty much since then.
As I learned about air quality and meteorology, my interest in geography and GIS also grew.
Since more than 20 years, I have use and promoted the use of open source software and open data, especially within science.