Data management and optimisation in air pollutions field Air pollution is a significant environmental problem that impacts human health and the environment. A large amount of environmental and meteorological data is being generated on a continuous basis through monitoring systems and analysis software. However, this data is often hard to handle and analyze because of a lack of clarity on variable names and inefficient update mechanisms. The current thesis is concerned with data handling and optimization in the area of air pollution, with the objective of converting unorganized exported data into a systematically organized database. The data set used for this research was extracted from the PDAnalyze software and contains air pollution as well as meteorological variables from 2019 to 2026.