Evaluating long-term and high spatiotemporal resolution of wet-bulb globe temperature through land-use based machine learning model-Reference-Cited by-同舟云学术

Evaluating long-term and high spatiotemporal resolution of wet-bulb globe temperature through land-use based machine learning model

Published:2023-12-16 Issue: Volume: Page:
ISSN:1559-0631
Container-title:Journal of Exposure Science & Environmental Epidemiology
language:en
Short-container-title:J Expo Sci Environ Epidemiol

Author:

Hsu Chin-Yu,Wong Pei-Yi,Chern Yinq-Rong,Lung Shih-Chun Candice,Wu Chih-Da

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Pollution,Toxicology,Epidemiology

Link

https://www.nature.com/articles/s41370-023-00630-1.pdf

Reference75 articles.

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4. Ren, G.Y. Urbanization as a major driver of urban climate change. Adv. Clim. Chang. Res. 2015;6:1–6. Retrieved from https://www.scipedia.com/public/Ren_2015a.

5. He BJ, Wang J, Liu H, Ulpiani G. Localized synergies between heat waves and urban heat islands: Implications on human thermal comfort and urban heat management. Environ Res. 2021;193:110584.

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