ISSS608 2018-19 T1 Assign Tan Le Wen Angelina

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Photo verybig 186361.jpg You take my breath away, Sofia.

Background

Data Preparation

Task 1

Task 2

Task 3

Conclusion


 



Overview

“Let me take you by the hand and lead you through the streets of London, I’ll show you something to make you change your mind.” - Streets of London by Ralph McTell

If I were to take you by the hand lead you through the streets of Sofia, the air pollution would definitely change your mind in visiting this city at all. Sofia has become one of the most toxic capital in Europe, deadly even – the number of deaths caused purely by air pollution is higher than anywhere else in Europe. (https://sofiaglobe.com/2017/12/13/air-pollution-in-sofia-drastic-measures-envisaged/ ) This study aims to picturise how poor the air quality is in Sofia City by using visual analytics approach to reveal spatio-temporal patterns of air quality in Sofia City and to identify issues of concern.


Data Preparation

The joinings of different sheets are done using JMPro 14.

Task 1: Official Air Quality

Characterize the past and most recent situation with respect to air quality measures in Sofia City. What does a typical day look like for Sofia city? Do you see any trends of possible interest in this investigation? What anomalies do you find in the official air quality dataset? How do these affect your analysis of potential problems to the environment?

Task 2: Citizen Science Air Quality Measurements

Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture? Now turn your attention to the air pollution measurements themselves. Which part of the city shows relatively higher readings than others? Are these differences time dependent?

Task 3: Factors affecting Air Quality

Urban air pollution is a complex issue. There are many factors affecting the air quality of a city. Some of the possible causes are: • 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.

In this third task, you are required to reveal the relationships between the factors mentioned above and the air quality measure detected in Task 1 and Task 2.

Datasets

Visualisation Tools

Tableau 10.5, JMP Pro