Microclimate Study Leom Sheng Teng(13),Tan Zhong Yi(21), Jovan Lee(09), Caleb Low(16) 2i2

Hypothesis Places with more shade have lower temperatures and places without shade have higher temperatures.

Procedure of Fieldwork Dates:28/1/14 and 4/2/14 No.of readings: 2 Equipment: Atmospheric Conditions Datalogger Places: A - Top floor of Multi-storey Carpark (shaded fire hydrant) B - Garden outside printing centre (centre) C - Open space between canteen and Block C (centre) D - Terraces (centre) E - Field (flag pole) F - Running Track (100m start line) G - Fountain area outside General Office

Open Shade Data

Analysis For both days, the average temperature of the areas with shade is lower than the average temperature of the areas without shade, as can be seen from the table. Sites/ Day Sites with shade A, B and G (average temperature) Sites without shade C, D, E, F (average temperature) degrees C31.5 degrees C degrees C32.3 degrees C

Hypothesis supported Site D has unusually low temperature on Day 1. The temperature of Day 2 for Site D is about 2 degree C higher than the temperature of Day 1. The temperature of Day 2 for the different sites is also generally higher than the temperature for Day 1. This may be because of cloud cover and other factors. There were a lot of clouds on Day 1 but less clouds on Day 2. Analysis

Presence of clouds changes quite quickly at times, affecting temperature and hence the accuracy of results. Forgot the exact spot we took temperature during the first round, therefore the places we took the temperature during the second round differed, causing results to be a bit unreliable and inaccurate. Too quick in taking temperature and forgot to wait for temperature to stabilize before taking down the data. People’s shadow blocking the thermometer at times. Problems and Challenges

Readings taken at the same places but on two different days may cause the results to be affected, as wind speed and cloud cover will differ. In order to take accurate readings, we must wait for the temperature to stabilize first before recording down data We should take more readings so that our results can be more reliable. We will then be able to check on our results to confirm that it is accurate. 3 things I know better...

What is the actual name of the instrument we used? Does amount of surrounding vegetation (eg. garden vs track) affect the ambient temperature? 2 Questions

THE END