1. MICROCLIMATE@HCI FINDINGS PRESENTATION By Guo Yulong, Lee Jit Ping, Lim An Guan, Yap Kang Zheng

2. HYPOTHESIS  The greater the wind speed, the lower the air temperature. WIND AIR TEMPERATURE

3. DATA COLLECTION  2 Readings  Reading 1  10 th of February 2014 (1230-1330hrs)  Reading 2  14 th 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

4. RESULTS  LOCATION REPRESENTATIVES  Location A  TOP FLOOR OF MULTISTOREY CARPARK  Location B  GARDEN OUTSIDE PRINTING CENTRE  Location C  OPEN SPACE BETWEEN CANTEEN AND BLOCK C  Location D  TERRACES  Location E  RUNNING TRACK  LOCATION F  FOUNTAIN AREA OUTSIDE GENERAL OFFICE

5. GRAPH FOR DAY 1 Abnormity possibly due to faulty equipment.

6. GRAPH FOR DAY 2

7. GRAPH FOR AVERAGE

8. HYPOTHESIS ANALYSIS  ACCEPTED  Average graph supports our trend

9. CHALLENGES FACED  Precision  Weather variables keep changing  Accuracy  No time to double check results

10. REFLECTIONS  Importance of taking temperature from the same height  Importance of conducting a fair test  Importance of getting results based on hypothesis

11. 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 ?

12. THANK YOU!