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- Title
Prediction of climatic changes caused by land use changes in urban area using artificial neural networks.
- Authors
Arabacı, Derya; Kuşçu Şimşek, Çağdaş
- Abstract
The aim of this study was to investigate the use of artificial neural networks (ANNs) as a simulation tool to predict thermal changes in urban areas. Istanbul Airport, which is a recently constructed mega project in Istanbul, was selected as the study area. In the study, the texture transfer method which allows creating synthetic images is used as a new image processing technique. This method allows land-use changes to be represented by texture pixels transfers that represent similar land-use types before the construction phase of a project. According to the results, while the surface temperature predictions for the warmed and cooled points were obtained with 79% and 54% accuracy respectively for one-to-one overlapping, 97% accuracy rates were reached within 300 m. This study revealed that the effect on the urban climate from surface changes that might occur in cities can be predicted by employing an ANN algorithm.
- Subjects
ISTANBUL (Turkey); URBAN land use; ARTIFICIAL neural networks; CLIMATE change; URBAN climatology; IMAGE processing
- Publication
Theoretical & Applied Climatology, 2023, Vol 152, Issue 1/2, p265
- ISSN
0177-798X
- Publication type
Article
- DOI
10.1007/s00704-023-04386-4