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Microclimate Fieldwork Daryl Wong (4) Jon Tan (8) Li Ying Ming (14) Ryan Koh (19) Class: 2i2.

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Presentation on theme: "Microclimate Fieldwork Daryl Wong (4) Jon Tan (8) Li Ying Ming (14) Ryan Koh (19) Class: 2i2."— Presentation transcript:

1 Microclimate Fieldwork Daryl Wong (4) Jon Tan (8) Li Ying Ming (14) Ryan Koh (19) Class: 2i2

2 Data was collected on 28/1 and 4/2, at around 11.30 a.m. on both days. We used a hybrid digital anemometer-thermometer to gather our data. We measured the temperature of the area and determined whether it was shaded or not. We took one reading for each of the areas. Our hypothesis was: “The presence of shade or cloud cover affects the temperature of a given location.” How fieldwork was conducted

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4 Graph of temperature/ºC vs areas measured (Day 1) 0 A B C D E F G 32 31 30 29 28 27 26 25 24 Temperature/ºC = shaded = unshaded Location

5 Graph of temperature/ºC vs areas measured (Day 2) 0 A B C D E F G 32 31 30 29 28 27 26 25 24 Temperature/ºC = shaded = unshaded Location

6 Our hypothesis is generally accepted. Our findings show areas with shade generally have lower temperatures than areas without shade. Our findings show that the average temperature of shaded areas in Day 1 is 29.6ºC and open areas being 30.6ºC, and Day 2 readings showing shaded areas and open areas having average temperatures of 29.9ºC 30.1ºC respectively, showing that the presence of shade affects the temperature of the given area. Analysis

7 Some contradictions were present in our findings, such as Area G on Day 1, which has no shade, having a lower temperature than Area C, which is shaded. This could be due to random atmospheric conditions such as gusts or momentary cloud cover, affecting temperature and thus, our results. Analysis

8 Some of the readings were inaccurate as there was human error and location ambiguity involved when collecting the readings. While traveling and recording data, the atmosphere may have experienced sudden changes, rendering our findings inaccurate. Ambiguity in determining whether an area was shaded or not may have affected our data. Problems Faced

9 1. Areas closer to the ground may be a higher temperature due to heat radiating from the ground. 2. The presence of shade and other obstructions affects the temperature of the area. 3. Temperature is affected by the time of day. 3 Things I Know Better About This

10 1.What other factors will affect temperature? Is temperature solely affected by presence of shade? 2.How will temperature affect the atmosphere? Will the temperature of the atmosphere affect other features of the atmosphere such as amount of water vapour and air composition? 2 questions

11 Thank you!


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