AI-Driven Solutions for Predicting and Mitigating Urban Heat Islands
Year: 2024
Type: conference-paper
Abstract: Urban heat islands (UHIs) represent a significant challenge in urban sustainability. This study explores AI-driven methodologies for predicting and mitigating UHIs by leveraging real-time data and machine learning algorithms. Our findings indicate that AI offers precise predictive modeling and effective intervention strategies to reduce urban temperatures.
Author: Al-Qarni, Areej
Institution: King Abdullah University of Science and Technology
Language: English
Topic: Urban Heat Island Mitigation
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968073904
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