Less NO
                    <sub>x</sub>
                    emission reductions are a potential cause for low effectiveness of sulfate aerosol reductions in China

Zhe Song; Huan Xi; Ningning Yao; Lang Chen; Zhengnan Cen; Pengfei Li; Daniel Rosenfeld; Shaocai Yu

doi:10.1073/pnas.2523101123

Proceedings of the National Academy of Sciences

Less NO <sub>x</sub> emission reductions are a potential cause for low effectiveness of sulfate aerosol reductions in China

Z Zhe Song (State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, and Department of Chemistry) H Huan Xi (Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University) N Ningning Yao (Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University) L Lang Chen (Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University) Z Zhengnan Cen (Laboratory for Statistical Monitoring and Intelligent Governance of Common Prosperity, Collaborative Innovation Center of Statistical Data Engineering Technology & Application, School of Statistics and Data Science, Zhejiang Gongshang University) P Pengfei Li D Daniel Rosenfeld S Shaocai Yu (Zhejiang Province Key Laboratory of Solid Waste Treatment and Recycling, School of Environmental Sciences and Engineering, Zhejiang Gongshang University)

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Article Details

Journal Proceedings of the National Academy of Sciences

Volume / Issue Vol. 123, Issue 3

Published January 20, 2026

DOI 10.1073/pnas.2523101123

ISSN 0027-8424

Publisher National Academy of Sciences

Journal Info

Proceedings of the National Academy of Sciences

National Academy of Sciences

ISSN: 0027-8424 Life Sciences

Authors (8)

Z

Zhe Song

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, and Department of Chemistry

H

Huan Xi

Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University

N

Ningning Yao

Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University

L

Lang Chen

Collaborative Innovation Center for Statistical Data Engineering, Technology and Application School of Statistics and Mathematics, Zhejiang Gongshang University

Z

Zhengnan Cen

Laboratory for Statistical Monitoring and Intelligent Governance of Common Prosperity, Collaborative Innovation Center of Statistical Data Engineering Technology & Application, School of Statistics and Data Science, Zhejiang Gongshang University

P

Pengfei Li

D

Daniel Rosenfeld

S

Shaocai Yu

Zhejiang Province Key Laboratory of Solid Waste Treatment and Recycling, School of Environmental Sciences and Engineering, Zhejiang Gongshang University

Less NO <sub>x</sub> emission reductions are a potential cause for low effectiveness of sulfate aerosol reductions in China

Article Details

Journal Info

Authors (8)

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