Quantifying the driving factors of particulate matter variabilities in the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2015 to 2020 by machine learning approach

This code is for the paper "Quantifying the driving factors of particulate matter variabilities in the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2015 to 2020 by machine learning approach".

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-23
DOI
https://doi.org/10.5281/zenodo.16346573
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
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article

Quantifying the driving factors of particulate matter variabilities in the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2015 to 2020 by machine learning approach

Zenodo (CERN European Organization for Nuclear Research)
Advanced Technologies in Various Fields
article

Quantifying the driving factors of particulate matter variabilities in the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2015 to 2020 by machine learning approach

article en

Abstract

This code is for the paper "Quantifying the driving factors of particulate matter variabilities in the Beijing-Tianjin-Hebei and Yangtze River Delta regions from 2015 to 2020 by machine learning approach".

Zenodo (CERN European Organization for Nuclear Research)
University of Science and Technology of China (CN), Anhui University (CN), City University of Hong Kong (HK), Hefei Institutes of Physical Science (CN)
Openalex Percentile: Top 76%
Advanced Technologies in Various Fields
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