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Forecasting air pollutant emission intensity for maritime shipping based on machine learning and statistical time-series models

Published Online: 2026-02-16

Authors

Yao, Enhuan

Xue, Zhuyin

Wojewodzki, Michal

Li, Yan https://orcid.org/0000-0002-3713-1237
Funding

Funding for this research was provided by:

National Social Science Fund of China (22BGL200)
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Text and Data Mining valid from 2026-02-16

Version of Record valid from 2026-02-16
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Article History

Received: 26 September 2025

Revised: 15 January 2026

Accepted: 19 January 2026

First Online: 16 February 2026

Declarations

:

: Not applicable. This study is based on theoretical modeling and secondary data analysis of maritime pollutant emissions; it does not involve human participants or animal experiments.

: The authors declare that they have no competing interests.

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