Download - MICROCLIMATE@HCI FINDINGS PRESENTATION By Guo Yulong, Lee Jit Ping, Lim An Guan, Yap Kang Zheng
MICROCLIMATE@HCIFINDINGS PRESENTATION
By
Guo Yulong, Lee Jit Ping, Lim An Guan, Yap Kang Zheng
HYPOTHESIS
The greater the wind speed, the lower the air temperature.
WIND AIR TEMPERATURE
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
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
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.
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
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
HYPOTHESIS ANALYSIS
ACCEPTED
Average graph supports our trend
CHALLENGES FACED
Precision Weather variables keep changing
Accuracy No time to double check results
REFLECTIONS
Importance of taking temperature from the same height
Importance of conducting a fair test
Importance of getting results based on hypothesis
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 ?
THANK YOU!