Microclimate HCI Matthew Ng, Lorcan Murphy, Brendon Koh, Soo Yong Gene 2i1

Hypothesis The slower the wind-speed, the higher the temperature of the location.

Data Collection 7 locations: Top floor of Multistorey carpark, Garden outside printing centre, Open space between canteen and Block C, Terraces, Field, Running Track and Fountain outside General Office Day 1: 22/1/14, 8.24am to 8.57am Day 2: 28/1/14, 8.03am to 8.36am Use of data logger for measuring temperature and wind speed

Graph A: Top floor of Multi Storey carpark B: Garden outside printing centre C: Open space between canteen and Block C D: Terraces E: Field F: Running Track G: Fountain area outside General Office

Data Analysis Highest temperature: 26.6 o C Lowest temperature: o C Highest wind speed: 1.9 Lowest wind speed: 0.5 Graph shows a decrease in temperature as wind speed increases, but the decrease is very minute (less than 0.1 o C) and cannot be considered as significant

Problems Faced The wind is gone before we are able to measure both the temperature and the wind speed The temperature rose very quickly during the period of testing, leading to inaccurate statistics

Reflection All in all… The experience was fun It was interesting to work with the apparatus It was refreshing to learn Geography outside of the classroom and actually experience the fieldwork process of Geography.

Further Questions 1.Is the surrounding vegetation or building structure a key factor in affecting the temperature of the location. 1.Will the location have a higher temperature if it receives a greater amount of sunlight? 1.Will the temperature of the location be higher if there is more human traffic?

THANK YOU