Abstract
The urban heat island (UHI) phenomenon has become a serious problem in recent years. It is necessary to study the mitigation methods and quantify their effects on UHI. In this paper, based on the remote sensed data, an empirical model was established as a negative function of land surface temperature (LST) to vegetation coverage. Urban heat island intensity (UHII) was estimated by a robust statistic algorithm. Compared with the current condition (vegetation coverage equaling to 0%), five high vegetation coverage building scenarios (10%, 20%, 30%, 40%, and 50%) were designed to explore mitigation effects on UHI separately. The results showed that the mean LST increase by about 0.5°C when vegetation coverage decrease by 0.1. UHII has a considerable decrease when the scenarios of vegetation coverage equaling to 20% and 40%, respectively. The reasonable vegetation configuration is the effective UHI mitigation.
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