Difference between revisions of "Kou Task3"

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<font size = 5>'''Task2'''</font>
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<font size = 5>'''Task3'''</font>
  
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== Geographical Data of Sensors ==
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== Meteorology vs PM10 ==
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This is the geographical data of sensors. The large circles mean there are many records from the point, and red points show high PM10 and orange indicate low PM10. We can see that remote areas do not have many sensors. Especially, the north-west area has one high-concentration point but there seem to be fewer sensors. I believe that they should increase sensors in the area.
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The data shows meteorology vs PM10 with the date. Temperature seems to have a negative relationship with PM10, on the other hand, humidity and air pressure seem to have a positive relationship with PM10. I assume people use heating appliances in cold season, therefore PM10 is high in that season. *For some reason, air pressure has some missing data, therefore instant plunge appears on the chart.
  
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[[File:FIg4 image.png|1000px|frameless|center]]<br>
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[[File:Fig9 image.png|1000px|frameless|center]]<br>
  
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== Missing Data from Sensors ==
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== Local topography vs PM10 ==
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If we look at the historical data from the sensors, the sum of the records plunges instantly on several days and some days have no record at all, which means there are missing data. I assume malfunction or maintenance occurred in such days.  
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Below shows scatterplots for altitude vs PM10 measurements and building distance. High altitude or high density of building leads to high PM10 concentration and the difference becomes large in the winter season.  
  
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[[File:Fig4 image.png|1000px|frameless|center]]<br>
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Altitude vs PM10
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[[File:Fig12 image.png|1000px|frameless|center]]<br>
  
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== Measurement change in one day ==
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Building Distance vs PM10
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Below 4 pictures each shows the data at 7, 15, 19, 23 o'clock. We can see the north area tend to have the high PM10 concentration and concentration levels are low from midnight to morning and increases from afternoon to evening.
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[[File:Fig11 image.png|1000px|frameless|center]]<br>
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Basically, the north area of the city is high in PM10
 
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7 AM
 
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[[File:Fig5 image.png|1000px|frameless|center]]<br>
 
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15 PM
 
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[[File:Fig6 image.png|1000px|frameless|center]]<br>
 
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19 PM
 
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[[File:Fig7 image.png|1000px|frameless|center]]<br>
 
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23 PM
 
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[[File:Fig8 image.png|1000px|frameless|center]]<br>
 

Latest revision as of 17:42, 18 November 2018

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Task1

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Task3

Meteorology vs PM10

The data shows meteorology vs PM10 with the date. Temperature seems to have a negative relationship with PM10, on the other hand, humidity and air pressure seem to have a positive relationship with PM10. I assume people use heating appliances in cold season, therefore PM10 is high in that season. *For some reason, air pressure has some missing data, therefore instant plunge appears on the chart.

Fig9 image.png


Local topography vs PM10

Below shows scatterplots for altitude vs PM10 measurements and building distance. High altitude or high density of building leads to high PM10 concentration and the difference becomes large in the winter season.

Altitude vs PM10

Fig12 image.png


Building Distance vs PM10

Fig11 image.png


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