Modeling the spatiotemporal distribution of ambient ultrafine particles in Shanghai, China

The models effectively captured spatiotemporal variation in UFP concentrations, supporting improved exposure assessment and health effect estimation.

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Publication Details

Journal
Environment International
Published
2025-11-21
DOI
https://doi.org/10.1016/j.envint.2025.109952
Citations
1
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20
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article

Modeling the spatiotemporal distribution of ambient ultrafine particles in Shanghai, China

Haidong Kan, Xia Meng, Jing Cai, Yihui Ge et al.
1 citations
Environment International
Air Quality and Health Impacts
1.20
article

Modeling the spatiotemporal distribution of ambient ultrafine particles in Shanghai, China

Haidong Kan, Xia Meng, Jing Cai, Yihui Ge, Yuhao Wei, Mengxun Rong
article en
1 citations

Abstract

The models effectively captured spatiotemporal variation in UFP concentrations, supporting improved exposure assessment and health effect estimation.

Environment InternationalVol. 206
Fudan University (CN)
Openalex Percentile: Top 16%
Air Quality and Health Impacts
1.20
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