ISSS608 2018-19 T1 Assign HyderAli Conclusion

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AP HA.png A Visualization Approach to Air Pollution in Sofia

Overview

Task 1 Insights

Task 2 Insights

Task 3 Insights


Insights

In this third task, you are required to reveal the relationships between the factors mentioned below and the air quality measure detected in Task 1 and Task 2. Limit your response to no more than 5 images and 600 words.

  • Local energy sources. For example, according to Unmask My City, a global initiative by doctors, nurses, public health practitioners, and allied health professionals dedicated to improving air quality and reducing emissions in our cities, Bulgaria’s main sources of PM10, and fine particle pollution PM2.5 (particles 2.5 microns or smaller) are household burning of fossil fuels or biomass, and transport.
  • Local meteorology such as temperature, pressure, rainfall, humidity, wind etc
  • Local topography
  • Complex interactions between local topography and meteorological characteristics.
  • Transboundary pollution for example the haze that intruded into Singapore from our neighbours.

Relationship between PM10 Level and Precipitation, Wind & Dew Point Temperature in Official Air Quality Stations

In this section, we proceed to investigate the relationship between pollutants and weather factors such as Precipitation, Wind & Dew Point Temperature in the Official Air Quality Station data. The correlation scatter plot during the high pollutant level period between Nov-Jan shows that they are strongly uncorrelated because the Pearson's r values are very low. Moreover, PM10 concentration levels has a negative correlation (very weak) with all the weather factors indicating that the pollutant levels are generally inversely related to the weather factors. Since the correlation among pollutants and weather factors are extremely low (<0.20), it indicates that the air pollution is least likely due to natural phenomenon and more towards human intervention.
Corr plot 1.png

Relationship between P1 and P2