ISSS608 2018-19 T1 Assign Lee Yeng Ling Conclusion
Spatio-temporal Analysis of Air Quality in Sofia City
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From Task 1, spatio-temporal analysis of data of the five fixed monitoring stations reveal that PM10 is a major contributor to the deterioration of air quality in Sofia, with highest concentrations of the air pollutants in winter. The spatio-temporal distribution of Air Quality Index (AQI) clearly depicts the severe air pollution in almost all 5 stations of Sofia city and still failing to meet the EU .
From Task 2 insights where measurements are recorded nearer the ground, revealing that actual concentrations could be much higher than the official air quality index. Therefore, this should be cause of concern for policy makers.
From Task 3 insights, we can infer that the most important factor for the available high concentrations of PM10 in the air is related to the meteorological conditions of the anticyclonic weather type during the cold period of the year (Dec to Jan), when a stable atmospheric boundary layer is present. The visualization provide a quick view of the relatively critical areas that need more attention from decision makers to initiate the policies geared towards developing appropriate strategies for reducing air pollution so as to comply with legally binding EU air quality standards.
