The maximum Urban Heat Island (UHI) intensity in Seoul, Korea is investigated with two specific objectives. The first objective is to characterize the maximum UHI intensity in Seoul and relate it to meteorological elements using a multiple linear regression method. The second objective is to develop a neural network model for the prediction of the maximum Seoul UHI intensity and demonstrate the potential of a neural network model in predicting UHI intensity by comparing its performance with that of amultiple linear regression model. For this, 24 years (1973-1996) of data collected at two meteorological observatories, representing an urban site (Seoul) and a rural site (Yangpyong), are used.
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