EVALUATION OF THE THERMAL COMFORT INDEX AND DAILY PREDICTION OF COMFORT LEVEL OF OUTDOOR ACTIVITES IN BANDUNG CITY(CASE STUDY : BATUNUNGGAL FIELD)
Recently, many thermal comfort indices are available but it is not yet known how they represent comfort felt by humans. That being said, with the importance of predicting the level of thermal comfort, it is necessary that the information made is accurate in predicting the level of thermal comfort in...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/68301 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Recently, many thermal comfort indices are available but it is not yet known how they represent comfort felt by humans. That being said, with the importance of predicting the level of thermal comfort, it is necessary that the information made is accurate in predicting the level of thermal comfort in order to support human activities outdoors
The purpose of this study is to evaluate the representation of thermal comfort index, namely THI, ET, and Humidex on thermal comfort conditions based on a questionnaire survei in one of the outdoor places in the city of Bandung. Aside from that, the purpose of this study is to predict the level of thermal comfort with a pre-evaluated thermal comfort index. The data were collected through observation and questionnaire. Weather observation data are used to calculate each of the observation thermal comfort index. While questionnaire survei data were distributed which then the results are compared to each thermal comfort index, as well as prediction data from the output of the Weather Research Forecasting (WRF) model operationalized by WCPL-ITB and interpolated first before being processed to predict the comfort index that has been evaluated previously.
Results from observation and surveis that were distributed continuously to 97 respondents for 30 days from monday to sunday with the range of time from 11.00-12.00 WIB showed that 54.7% felt comfortable, 36% felt warm and the rest felt hot and cold. Further, the results of observations that were carried out and continued to be calculated from each index showed that three indices (THI, ET, Humidex) do not represent comfort that were felt by the respondents even though all of the data collected were taken at the same time. With the differences in the context of shade and habit of a person living in a tropical climate that has warmer temperatures, it has a tendency to make the respondents to adapt. However, results of the evaluation revealed that the best Humidex index from Proportion Correct (PC) value is 0.74. Meanwhile, the predicted results of the Humidex index are in the category of comfortable and underestimated with observation. Therefore, things that caused it were from the model grid resolution that has not been detailed and the land cover data that has not been updated as well as the difference in topographic height.
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