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. The number of days with exceedances at five automatic monitoring stations were higher than the allowable 35 times. Then air pollution with particulate matter in Sofia is characterized by a distinguished seasonal pattern with peaks during the cold period (winter season) of the year.
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.
All 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.
Other References
I grossly underestimated the time needed to compile the wikipedia page and Tableau Viz. So it had been a steep learning curve to learn both tools but worth all the efforts and sleepless nights.
Credit and thanks go to:
- Tian Seet Yuen - his Tableau Viz had inspired me to create for Task 1.
- Angelina Tan - her wiki pages were very well-done, I just enjoyed reading it for Task 2.
- Brian Chen - his wiki pages on sensor in relation to temperature, humidity and pressure was sensible.
- Debbie Siah Mei Ping - who was willing and helpful discussion partner during the course of this assignment.
