Abstract
The simulation and forecast of urban heat island effect was studied. Since the reason for the formation of urban heat island is complex, the current model cannot take all the influence factors into consideration. When a new influence factor is introduced, it will lead to a comprehensive change of the model. In order to solve these problems, the paper provides an urban heat island effect analysis and forecast model based on artificial neural network. The experiment shows the efficiency of this forecast model. Furthermore, the heat island effect information visualization has been carried on in this paper. This prediction model for urban heat island has raised a new idea for the latest achievements of computer technology applications in related fields.
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Shao, B., Zhang, M., Mi, Q., Xiang, N. (2011). Prediction and Visualization for Urban Heat Island Simulation. In: Pan, Z., Cheok, A.D., Müller, W. (eds) Transactions on Edutainment VI. Lecture Notes in Computer Science, vol 6758. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22639-7_1
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DOI: https://doi.org/10.1007/978-3-642-22639-7_1
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