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9 December 2015 Spatial-temporal analysis of building surface temperatures in Hung Hom
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Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98082E (2015) https://doi.org/10.1117/12.2207907
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
Abstract
This thesis presents a study on spatial-temporal analysis of building surface temperatures in Hung Hom. Observations were collected from Aug 2013 to Oct 2013 at a 30-min interval, using iButton sensors (N=20) covering twelve locations in Hung Hom. And thermal images were captured in PolyU from 05 Aug 2013 to 06 Aug 2013. A linear regression model of iButton and thermal records is established to calibrate temperature data. A 3D modeling system is developed based on Visual Studio 2010 development platform, using ArcEngine10.0 component, Microsoft Access 2010 database and C# programming language. The system realizes processing data, spatial analysis, compound query and 3D face temperature rendering and so on. After statistical analyses, building face azimuths are found to have a statistically significant relationship with sun azimuths at peak time. And seasonal building temperature changing also corresponds to the sun angle and sun azimuth variations. Building materials are found to have a significant effect on building surface temperatures. Buildings with lower albedo materials tend to have higher temperatures and larger thermal conductivity material have significant diurnal variations. For the geographical locations, the peripheral faces of campus have higher temperatures than the inner faces during day time and buildings located at the southeast are cooler than the western. Furthermore, human activity is found to have a strong relationship with building surface temperatures through weekday and weekend comparison.
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Ying Zeng and Yueqian Shen "Spatial-temporal analysis of building surface temperatures in Hung Hom", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082E (9 December 2015); https://doi.org/10.1117/12.2207907
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