Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks

Author:

Assaf Ghiwa,Hu Xi,Assaad Rayan H.

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference161 articles.

1. Impact of wind speed on urban heat and pollution islands;Abbassi;Urban Clim.,2022

2. How to bring UHI to the urban planning table? A data-driven modeling approach;Acosta;Sustain. Cities Soc.,2021

3. Recent advances in black box and white-box models for urban heat island prediction: implications of fusing the two methods;Adilkhanova;Renew. Sust. Energ. Rev.,2022

4. Perceived impacts of urban Heat Island phenomenon in a tropical metropolitan city: perspectives from stakeholder dialogue sessions;Aghamohammadi;Sci. Total Environ.,2022

5. The effect of multi-dimensional indicators on urban thermal conditions;Alavipanah;J. Clean. Prod.,2018

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