Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations-Reference-Cited by-同舟云学术

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Enhanced PM2.5 estimation across China: An AOD-independent two-stage approach incorporating improved spatiotemporal heterogeneity representations

Published:2024-09 Issue: Volume:368 Page:122107
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Chen Qingwen^ORCID,Shao Kaiwen,Zhang Songlin^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. The potential impact of satellite-retrieved cloud parameters on ground-level PM2.5 mass and composition;Belle;Int. J. Environ. Res. Publ. Health,2017

2. Testing the significance of a correlation with nonnormal data: comparison of Pearson, spearman, transformation, and resampling approaches;Bishara;Psychol. Methods,2012

3. Decoding the effect of demographic factors on environmental health based on city-level PM2.5 pollution in China;Cao;J. Environ. Manag.,2024

4. Mitigating the multicollinearity problem and its machine learning approach: a review;Chan;Mathematics,2022

5. High spatiotemporal resolution estimation of AOD from Himawari-8 using an ensemble machine learning gap-filling method;Chen;Sci. Total Environ.,2023

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