microclimate@hci findings presentation by guo yulong, lee jit ping, lim an guan, yap kang zheng
TRANSCRIPT
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MICROCLIMATE@HCIFINDINGS PRESENTATION
By
Guo Yulong, Lee Jit Ping, Lim An Guan, Yap Kang Zheng
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HYPOTHESIS
The greater the wind speed, the lower the air temperature.
WIND AIR TEMPERATURE
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DATA COLLECTION
2 Readings
Reading 1 10th of February 2014 (1230-1330hrs)
Reading 2 14th of February 2014 (0930-1030hrs)
3 forms of data collected Temperature at 15cm above ground Temperature at 1.5m above ground Wind Speed
Measuring device Pocket Weather instrument
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RESULTS LOCATION REPRESENTATIVES
Location A TOP FLOOR OF MULTISTOREY CARPARK
Location BGARDEN OUTSIDE PRINTING CENTRE
Location COPEN SPACE BETWEEN CANTEEN AND BLOCK C
Location DTERRACES
Location ERUNNING TRACK
LOCATION FFOUNTAIN AREA OUTSIDE GENERAL OFFICE
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GRAPH FOR DAY 1
30 35 40 45 50 550
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
A
B
C
DE
FG
DAY 1
TEMPERATURE/Degrees Celcius
Abnormity possibly due to faulty equipment.
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GRAPH FOR DAY 2
28.8 28.9 29 29.1 29.2 29.3 29.4 29.5 29.60
0.5
1
1.5
2
2.5
3
A
B
C
D E
F
G
DAY 2
TEMPERATURE/Degrees Celcius
WIN
D S
PEED
/Mete
rs p
er
seco
nd
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GRAPH FOR AVERAGE
30.0 31.0 32.0 33.0 34.0 35.0 36.0 37.0 38.0 39.0 40.00.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
A
BC
DE
F
G
DAY 2
TEMPERATURE/Degrees Celcius
WIN
D S
PEED
/Mete
rs p
er
seco
nd
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HYPOTHESIS ANALYSIS
ACCEPTED
Average graph supports our trend
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CHALLENGES FACED
Precision Weather variables keep changing
Accuracy No time to double check results
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REFLECTIONS
Importance of taking temperature from the same height
Importance of conducting a fair test
Importance of getting results based on hypothesis
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FURTHER QUESTIONS
What causes the different weather variables to change?
Is there a way to predict what data will be present for the different elements of weather ?
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THANK YOU!