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Zibing Yuan

Showing results (1-10 of 39) with videos related to

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Environment International|April 18, 2026
Future trends and driving factors of ozone pollution in China under the carbon neutrality target using an ensemble machine learning approachShu Zhang, Zibing Yuan, Zhonghua Zheng
Environmental Science and Pollution Research International|September 5, 2022
Integrated assessment of volatile organic compounds from industrial biomass boilers in China: emission characteristics, influencing factors, and ozone formation potentialRuidan Shi, Zibing Yuan, Leifeng Yang, et al.
Journal of Environmental Sciences (China)|December 29, 2025
Development of a predictive vehicle exhaust volatile organic compounds (VOCs) emission model based on machine learning and on-road driving dataYiheng Liu, Menglei Wang, Zibing Yuan, et al.
The Science of the Total Environment|September 22, 2012
High resolution of black carbon and organic carbon emissions in the Pearl River Delta region, ChinaJunyu Zheng, Min He, Xingling Shen, et al.
The Science of the Total Environment|August 2, 2024
Development of a highly spatiotemporally resolved vehicular volatile organic compounds emission inventory based on on-line measurement of speed-dependent emission factorMenglei Wang, Anqi Wang, Zibing Yuan, et al.
The Science of the Total Environment|December 1, 2014
A comparison of HYSPLIT backward trajectories generated from two GDAS datasetsLin Su, Zibing Yuan, Jimmy C H Fung, et al.
The Science of the Total Environment|September 11, 2023
Importance of secondary decomposition in the accurate prediction of daily-scale ozone pollution by machine learningXinyue Du, Zibing Yuan, Daojian Huang, et al.
The Science of the Total Environment|June 18, 2010
Source apportionment of ambient volatile organic compounds in Hong KongAlexis Kai Hon Lau, Zibing Yuan, Jian Zhen Yu, et al.
The Science of the Total Environment|March 6, 2022
Optimized neural network for daily-scale ozone prediction based on transfer learningWei Ma, Zibing Yuan, Alexis K H Lau, et al.
Journal of Environmental Sciences (China)|June 16, 2021
Emission source-based ozone isopleth and isosurface diagrams and their significance in ozone pollution control strategiesHuihong Luo, Kaihui Zhao, Zibing Yuan, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Environment International|April 18, 2026
Future trends and driving factors of ozone pollution in China under the carbon neutrality target using an ensemble machine learning approachShu Zhang, Zibing Yuan, Zhonghua Zheng
Environmental Science and Pollution Research International|September 5, 2022
Integrated assessment of volatile organic compounds from industrial biomass boilers in China: emission characteristics, influencing factors, and ozone formation potentialRuidan Shi, Zibing Yuan, Leifeng Yang, et al.
Journal of Environmental Sciences (China)|December 29, 2025
Development of a predictive vehicle exhaust volatile organic compounds (VOCs) emission model based on machine learning and on-road driving dataYiheng Liu, Menglei Wang, Zibing Yuan, et al.
The Science of the Total Environment|September 22, 2012
High resolution of black carbon and organic carbon emissions in the Pearl River Delta region, ChinaJunyu Zheng, Min He, Xingling Shen, et al.
The Science of the Total Environment|August 2, 2024
Development of a highly spatiotemporally resolved vehicular volatile organic compounds emission inventory based on on-line measurement of speed-dependent emission factorMenglei Wang, Anqi Wang, Zibing Yuan, et al.
The Science of the Total Environment|December 1, 2014
A comparison of HYSPLIT backward trajectories generated from two GDAS datasetsLin Su, Zibing Yuan, Jimmy C H Fung, et al.
The Science of the Total Environment|September 11, 2023
Importance of secondary decomposition in the accurate prediction of daily-scale ozone pollution by machine learningXinyue Du, Zibing Yuan, Daojian Huang, et al.
The Science of the Total Environment|June 18, 2010
Source apportionment of ambient volatile organic compounds in Hong KongAlexis Kai Hon Lau, Zibing Yuan, Jian Zhen Yu, et al.
The Science of the Total Environment|March 6, 2022
Optimized neural network for daily-scale ozone prediction based on transfer learningWei Ma, Zibing Yuan, Alexis K H Lau, et al.
Journal of Environmental Sciences (China)|June 16, 2021
Emission source-based ozone isopleth and isosurface diagrams and their significance in ozone pollution control strategiesHuihong Luo, Kaihui Zhao, Zibing Yuan, et al.
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