We conduct an AutoRegressive Integrated Moving Average (ARIMA) of simulated and real-time pollutant data. Simulated air pollutant data were used to illustrate methodology. 254 pollutant values – time points were used in the simulation. 118 real-time air pollutant values – time points were obtained and downloaded from 2015 to 2021 from the Liverpool Speke monitoring station in the United Kingdom. The pollutant of interest is Benzene. The UK data is available for download from the UK Air Information resource Department for Environment Food & Rural Affairs [DEFRA] – a UK government resource page. The user selects the data type, the data range (e.g., 2015-2021), the monitoring sites, the pollutants of interest and the output data file type. There is a wealth of information for download from the UK-AIR data base. The range is extensive. There are many pollutants identified by name and the monitoring sites are strewn all over the United Kingdom. We chose Liverpool and Benzene data from 2015-2021 to illustrate procedure and validate the simulation study. The SAS procedure ‘proc arima’ is used to find the best fitting ARIMA for the 254 and 118 time points. SAS/STAT and SAS/ETS was used for the data analysis and plots produced using SAS/GRAPH.

ARIMA modeling of simulated and of real-time pollutant data

ACS Spring 2022

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