1 / 11

Microclimate Fieldwork@HCI

Microclimate Fieldwork@HCI. 2i2 Damian Ho (6) Josh Ryan Chan (2) Kieran Yeo (11) Weng Pei He (23). Methodology . Dates: 18/1 11:20am & 4/2 11:20am Instrument used: Electronic measuring device Readings taken:

mikko
Download Presentation

Microclimate Fieldwork@HCI

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Microclimate Fieldwork@HCI 2i2 Damian Ho (6) Josh Ryan Chan (2) Kieran Yeo (11) Weng Pei He (23)

  2. Methodology Dates: 18/111:20am & 4/211:20am Instrument used: Electronic measuring device Readings taken: 2 temperature readings taken per location, one at 15 cm and one at 1.5 meters above ground. Readings taken at 7 locations for each day. Hypothesis: Open areas are warmer than enclosed areas

  3. Locations A: Top floor of the Multistory Carpark B: Garden outside the printing centre C: Open space between canteen and Block C D: Terraces, on the middle row E:Field, at the flag poles F: Running Track, at 100m start line G: Fountain area outside the General Office

  4. Day 1 Closed Open

  5. Day 2 Open Closed

  6. Average

  7. Analysis • Our hypothesis is that open areas are warmer. It was mostly accepted • It was mostly accepted as open areas had a higher average temperature than enclosed areas. • However, some of the open areas of each day had a generally cooler temperature as compared to the enclosed areas. • Therefore, results are inconclusive.

  8. Cont. • This may be due to a range of factors. For example: • The temperature at the areas were measured at different times. • Thus, in between measurements factors such as cloud cover and wind speed may have changed, affecting the data • Therefore, it is hard to ensure that the data is reliable.

  9. Problems faced • When we were measuring the temperature at different places, the reading was often unsteady and would fluctuate, making it difficult to take an accurate reading. • The cloud cover would vary between readings, therefore making it hard to record reliable readings.

  10. Reflections 3 things I know better about this topic: • Factors affecting Temperature • Factors affecting wind speed • How measurements should be made 2 Questions I would like to find out more about: • How exactly do these factors affect areas? • Are the factors inter-related?

  11. Thank you For your kind attention

More Related