data analysis and modelling in air quality monitoring

Data analysis and modeling in air quality monitoring refers to the process of using statistical techniques and computer models to interpret and understand the collected data related to air pollutants and their concentrations. This analysis helps in identifying patterns, trends, and correlations in the data to gain insights into the behavior and impacts of air pollutants on the environment and public health. It enables scientists and policymakers to make informed decisions and develop strategies to improve air quality and mitigate pollution.

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