Research on the estimation of port emission and sustainable development from the perspective of big data

Yuzhe Liu; Qiulan Wang; Yan Jiang; Chun Xin

doi:10.1117/12.2638796

17 May 2022 Research on the estimation of port emission and sustainable development from the perspective of big data

Yuzhe Liu, Qiulan Wang, Yan Jiang, Chun Xin

Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122593Y (2022) https://doi.org/10.1117/12.2638796
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China

Abstract

A typical port in the United States—the Port of Los Angeles is selected to analyze the components of port emission in terms to the big dataset. Using large amount of air pollutant data from February 2020 to January 2021 to carry out the fitting analysis and variance analysis on the emission of PM2.5, sulfur dioxide, nitrogen dioxide, ozone, carbon monoxide, and PM10. The pollutant emission has predicted for the latter two years,according to the proposed method, which combing with the Bottom-up method. Finally, the suggestions for sustainable green port development in the Port of Los Angeles are given from multiple perspectives to reduce port pollution emissions.

Citation Download Citation

Yuzhe Liu, Qiulan Wang, Yan Jiang, and Chun Xin "Research on the estimation of port emission and sustainable development from the perspective of big data", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122593Y (17 May 2022); https://doi.org/10.1117/12.2638796

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