Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4917286 | Building and Environment | 2017 | 46 Pages |
Abstract
There are high correlations between observed and predicted LSTs (R = 0.64 to 0.89), with mean absolute error (MAE) of annually averaged LST ranging 0.49 °C-2.60 °C, and root mean square error (RMSE) ranging 0.62 °C-2.98 °C. There are low errors for reconstructing building data, in which MAEs and RMSEs of an open space are 0.41 m-1.23 m and 0.78 m - 1.46 m; and for an area with buildings are 0.81 m-3.25 m and 1.06 m - 5.92 m. The spatiotemporal estimation indicated areas with improved air ventilation through years can significantly reduce an additional 0.12 °C - 1.09 °C than the areas without improvement, while areas with an increase in shades through years have 0.6 °C-0.76 °C higher reduction of relative temperature.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Fen Peng, Man Sing Wong, Hung Chak Ho, Janet Nichol, Pak Wai Chan,