Difference between revisions of "Task 1: Official Air Quality"

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[[Sofia City: Data Preparation| <font color="#f4f6f7">Data Preparation</font>]]
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[[Sofia City: Data Preparation| <font color="#f4f6f7">Data Preparation & Dashboard</font>]]
  
 
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[Task 1: Official Air Quality Measure| <font color="#f4f6f7">Task 1</font>]]
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[[Task 1: Official Air Quality| <font color="#f4f6f7">Task 1</font>]]
  
 
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<font size="4">'''Spatio-temporal Analysis of Official Air Quality'''</font>
  
==Task 1: Spatio-temporal Analysis of Official Air Quality==
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==Comparison of Past and Present Air Quality Situation in Sofia==
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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? <br/>
  
Characterize the past and most recent situation with respect to air quality measures in Sofia City. What does a typical
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=== Changes from 2013 to 2018 ===
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?
 
  
==Past and Present Air Quality Situation in Sofia City==
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[[File:Cycleplot1.jpg|800px|frameless|left]]
  
The quality of the air in Sofia City is measured by the concentration of PM10 particles in the environment. From the Density Map, it is observed that the average concentration peaks every year between November and January. But overall, the air quality appears to improve over time.
 
  
[[File:Task1-DensityMap.png|600px|frameless|center]]
 
  
The Calendar Heat Map below shows the concentration of PM10 particles by month and weekly over time. Generally, it can be observed that the air quality dips to "Poor" and "Very Poor" levels during the winter months. There appears to be no difference in the air quality between the weekends and weekdays. Based on this visualisation, the air quality appears to improve over time.
 
  
[[File:Task1-CalendarHeatMap.png|600px|frameless|center]]
 
  
==A Typical Day in Sofia City (2018)==
 
  
An average day in Sofia City usually consist of air quality that is classified as fair. According to official air quality, the air quality improves during the day hours between 8am to 8pm and deterioates to moderate level between 8pm to 8am.
 
  
[[File:Task1-AverageDay.png|600px|center]]
 
  
==Trends of Possible Interest==
 
  
===Air Quality Deteoriates during the Winter Months===
 
  
===No Difference in Air Quality between Weekends and Weekdays===
 
  
===Air Quality Appears to Improve over the Years===
 
  
==Anomalies in Official Air Quality Dataset==
 
  
===Missing Data===
 
It is observed that there is missing data in the official air quality dataset between January and November 2017. There is no way of imputing values into such a wide date range. Hence, it had been decided to leave it as it is. The missing data will show up as blank in the visualisation and analysis.
 
  
===Difference in Interval of Measurements===
 
PM10 measurement readings are available in daily form between 2013 and 2016. However, it changed to hourly form between 2017 and 2018. This poses certain challenges in the analysis. Nevertheless, average by day is taken during the Tableau analysis so that the data sampling still takes place by daily in the years 2017 to 2018.
 
  
==Impact to Analysis of Potential Problems to Environment==
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'''While there is an overall increasing trend from 2013-2018, the greatest increase in PM10 concentration is recorded in January'''<br/>
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The 12 month Cycle Plot visualizes the changes in sum of annual concentration of PM10 from 2013-2018 at a monthly basis. We noticed that while there is a overall increasing trend in concentration across all months from 2013-2018, the greatest increase can be seen in the month of January and December. Noticebly in January 2018, there is a record sum of concentration of PM10 of 245320 (µg/m3). <br/>
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[[File:Slope graph1.jpg|800px|frameless|left]]<br/>
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'''With exception of Druzhba, all other stations recorded increase in average annual PM10 concentration from 2013-2018'''<br/>
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Taking in consideration of incomplete data point from 2013-2018 for Orlov Most and Mladost, we can plot the slope graph of changes in average concentration of PM10 (µg/m3) for the remaining 4 stations. While the cycle plot enables us to have an appreciation of the changes in pollutant concentration over the years by month, the slope graph allow us to compare the movement in concentration level across individual stations from 2013-2018. We can see that with the exception of Druzhba which recorded a decrease of -11.06 (µg/m3) in 2018 as compared to the average annual concentration across 2013-2018, the rest of the stations all recorded an increase in pollutant concentration across the years.<br/>
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[[File:Area.jpg|800px|frameless|left]]<br/>
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'''Annual Average Concentration of PM10 frequently exceeds the EU allowable limit'''<br/>
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The European Union sets the limit of 40 μg/m3 as the maximum annual average for PM10. When plotting a horizon graph, we were able to discern the percentage difference of the annual average concentration level across various stations throughout 2013-2018. The shaded area above/below the x-axis reflects the percentage difference which the annual average concentration deviates from the EU annual limit (40 μg/m3).
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Most notably, the highest annual average concentration level was recorded in 2017 at BG0073A where average concentration level exceeded EU annual limits by 1355%.<br/>
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=== A typical day in Sofia City ===
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[[File:Calendar chart.jpg|1000px|frameless|left]]
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'''Average Concentration of PM10 increases during winter seasons'''<br/>
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This phenomenon is captured in a calendar chart where period of higher concentration of PM10 is represented with darker shade of color. We observed that the period of higher concentration is reflected in the winter seasons (January-December) across 2013-2018. Coincidentally, the concentration level during the summer season (May-July) is much lower as shown with lighted gradient of colors across all years. We will proceed to further investigate if pollutant concentration has a relationship with seasonality and climate in Task 3.<br/>
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[[File:Control chart.jpg|1000px|frameless|left]]<br/>
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'''No significant trends in daily concentration level of PM10'''<br/>
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A control chart enables user to monitor changes in the level of pollutant concentration when it exceeds the norm i.e. standard deviation. For this visualization, we plot the daily changes in average concentration of PM10 on a monthly basis across all years. From the plot we can conclude there is no direct correlation between the day and week of the month with pollutant concentration.<br/>
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==Discovered Trends of Interest==
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===Anomalies in dataset===
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[[File:PSP1.jpg|700px|frameless|left]]
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'''Missing dataset for STA-BG0054A from 2016-2018'''<br/>
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Data from STA-BG0054A (Orlov Most) is missing from 2016-2018. This could be possible decommissioning of the air quality station from 2016 onwards.
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'''New Air Quality Station in 2018 – STA- BG0079A (Orlov Most)'''<br/>
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Dataset for Orlov Most covers only the first 9 months of 2018.
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'''Incorrect altitude level for STA-BG0079A (Mladost)'''<br/>
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In the metadata table provided, we noticed that altitude for STA-BG0079A (Mladost) set as “0” is likely to be an error as Sofia city sits at 550m above sea level.

Latest revision as of 21:57, 19 November 2018

Banner.jpg Understanding Air Quality in Sofia

Background

Data Preparation & Dashboard

Task 1

Task 2

Task 3

 


Spatio-temporal Analysis of Official Air Quality

Comparison of Past and Present Air Quality Situation in Sofia

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?

Changes from 2013 to 2018

Cycleplot1.jpg















While there is an overall increasing trend from 2013-2018, the greatest increase in PM10 concentration is recorded in January
The 12 month Cycle Plot visualizes the changes in sum of annual concentration of PM10 from 2013-2018 at a monthly basis. We noticed that while there is a overall increasing trend in concentration across all months from 2013-2018, the greatest increase can be seen in the month of January and December. Noticebly in January 2018, there is a record sum of concentration of PM10 of 245320 (µg/m3).


Slope graph1.jpg


















With exception of Druzhba, all other stations recorded increase in average annual PM10 concentration from 2013-2018
Taking in consideration of incomplete data point from 2013-2018 for Orlov Most and Mladost, we can plot the slope graph of changes in average concentration of PM10 (µg/m3) for the remaining 4 stations. While the cycle plot enables us to have an appreciation of the changes in pollutant concentration over the years by month, the slope graph allow us to compare the movement in concentration level across individual stations from 2013-2018. We can see that with the exception of Druzhba which recorded a decrease of -11.06 (µg/m3) in 2018 as compared to the average annual concentration across 2013-2018, the rest of the stations all recorded an increase in pollutant concentration across the years.


Area.jpg















Annual Average Concentration of PM10 frequently exceeds the EU allowable limit
The European Union sets the limit of 40 μg/m3 as the maximum annual average for PM10. When plotting a horizon graph, we were able to discern the percentage difference of the annual average concentration level across various stations throughout 2013-2018. The shaded area above/below the x-axis reflects the percentage difference which the annual average concentration deviates from the EU annual limit (40 μg/m3). Most notably, the highest annual average concentration level was recorded in 2017 at BG0073A where average concentration level exceeded EU annual limits by 1355%.

A typical day in Sofia City

Calendar chart.jpg

















Average Concentration of PM10 increases during winter seasons
This phenomenon is captured in a calendar chart where period of higher concentration of PM10 is represented with darker shade of color. We observed that the period of higher concentration is reflected in the winter seasons (January-December) across 2013-2018. Coincidentally, the concentration level during the summer season (May-July) is much lower as shown with lighted gradient of colors across all years. We will proceed to further investigate if pollutant concentration has a relationship with seasonality and climate in Task 3.


Control chart.jpg





























No significant trends in daily concentration level of PM10
A control chart enables user to monitor changes in the level of pollutant concentration when it exceeds the norm i.e. standard deviation. For this visualization, we plot the daily changes in average concentration of PM10 on a monthly basis across all years. From the plot we can conclude there is no direct correlation between the day and week of the month with pollutant concentration.

Discovered Trends of Interest

Anomalies in dataset

PSP1.jpg

Missing dataset for STA-BG0054A from 2016-2018
Data from STA-BG0054A (Orlov Most) is missing from 2016-2018. This could be possible decommissioning of the air quality station from 2016 onwards.


New Air Quality Station in 2018 – STA- BG0079A (Orlov Most)
Dataset for Orlov Most covers only the first 9 months of 2018.


Incorrect altitude level for STA-BG0079A (Mladost)
In the metadata table provided, we noticed that altitude for STA-BG0079A (Mladost) set as “0” is likely to be an error as Sofia city sits at 550m above sea level.