Geospatial artificial intelligence for estimating daytime and nighttime nitrogen dioxide concentration variations in Taiwan: A spatial prediction model-Reference-Cited by-同舟云学术

Geospatial artificial intelligence for estimating daytime and nighttime nitrogen dioxide concentration variations in Taiwan: A spatial prediction model

Published:2024-06 Issue: Volume:360 Page:121198
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Babaan Jennieveive,Wong Pei-Yi,Chen Pau-Chung,Chen Hsiu-Ling,Lung Shih-Chun Candice,Chen Yu-Cheng,Wu Chih-Da^ORCID

Publisher

Elsevier BV

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3. A Geo-AI-based ensemble mixed spatial prediction model with fine spatial-temporal resolution for estimating daytime/nighttime/daily average ozone concentrations variations in Taiwan;Babaan;J. Hazard Mater.,2023

4. A hybrid kriging/land-use regression model with Asian culture-specific sources to assess NO2 spatial-temporal variations;Chen;Environ. Pollut.,2020

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