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Exercise 5: Field Work Microclimate Study of HCI. Tan Yan Yuh Ang Wei Yuan David Yao Lee Yue Han Yong Wei Jue. Hypothesis. Concrete grounds are hotter than non concrete grounds. Groups Predictions of temperature. From hottest to coolest 1)Running Track 2)Top story Carpark
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Exercise 5: Field WorkMicroclimate Study of HCI Tan Yan Yuh Ang Wei Yuan David Yao Lee Yue Han Yong Wei Jue
Hypothesis • Concrete grounds are hotter than non concrete grounds
Groups Predictions of temperature • From hottest to coolest • 1)Running Track • 2)Top story Carpark • 3)Field • 4)Terraces • 5)Garden outside printing block • 6)Fountain Area outside general office • 7)Globe at Clock Tower
Average temperature of concrete grounds vs non-concrete grounds
Conclusion • Concrete grounds are not necessarily hotter than non-concrete grounds • Average temperature of places with concrete ground is slightly lower than places with non-concrete ground • Factors such as wind speed, presence of shade, presence of plants affect temperature
Post Fieldwork How did the data compare with the class findings during the pre-fieldwork phase? The top floor of the multistorey carpark is ranked the hottest in our class findings but after the fieldtrip, we found that actually the running track is the hottest.
Post Fieldwork Are there any surprising discoveries –any emerging patterns or anomalies to your data? I personally think that there are some shade from the taller buildings at the carpark and strong wind at the higher level which decreases the temperature.
Post Fieldwork Revisit your hypothesis. Do the results of the investigation agree with the class hypothesis? Support your conclusion with data. No it doesn’t, I think the temperature is most affected by its surrounding and slightly by its materials because the top floor of the multistoreycarpark is made by concrete that absorbs more heat than rubber and yet, the running track that is made by rubber and some harder grounds is hotter than the carpark.
Post Fieldwork What are the possible reasons for the acceptance of rejection of your hypothesis? Was it due to limitations of your data or the data collection methods? The temperature is also affected by other reasons such as its surroundings and thus proved that the hypothesis is wrong. I think it was due to the limitations of data because we did not go and feel the surroundings and wind which causes our hypothesis to be wrong.
It has helped us better understand the how external factors can affect the temperature We know how to better estimate the temperature Drawing upon your findings, how was this inquiry improved your understanding of the topic? What further/new questions would you like to ask about temperature variations as a result of this enquiry?