Determining the Influence of Building Density on Heat Island Effect Using Baidu Map and Remote Sensing

This study investigated central urban area of Guangzhou as an example. Data on the types of land use in 2000 - 2009 and building data were used to analyze the changes in the intensity of urban heat island WHO by using the meteorological and numerical weather and research forecasting (wnF) model. The correlation analysis method was used to analyze the temperature and building density to explore the decisive influence of building density on the UHI effect. Results showed that the WRF model can be used to simulate the temperature and humidity performance in the UHI effects. Moreover, urban building density have a great coefficient with UHI. The UHI effect is relatively weak when a few buildings sparsely distributed, various building densities have a substantial influence on the UHI effect. In general, urban development in Guangzhou has enhanced human activities and changed the type of land use, thereby considerably influencing the UHI effect.