Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
The Impact of Improving Throughput Efficiency of Coastal Ports Based on Machine Learning Methods on Sulfur Emissions
This article uses the LSTM long short-term memory model to predict the throughput of major coastal ports in China and remote sensing images of port night light, and explores the correlation between remote sensing images of port night light and sulfur emissions. Research has shown that the cargo throughput of major coastal ports in China increased at a rate of 5% from 2019 to 2029, which is significantly positively correlated with the growth of nighttime light data. The growth of nighttime light data is negatively correlated with the decrease in sulfur emissions in ports. This study can provide new ideas for the future green development of ports, thermal environment management.
The Impact of Improving Throughput Efficiency of Coastal Ports Based on Machine Learning Methods on Sulfur Emissions
This article uses the LSTM long short-term memory model to predict the throughput of major coastal ports in China and remote sensing images of port night light, and explores the correlation between remote sensing images of port night light and sulfur emissions. Research has shown that the cargo throughput of major coastal ports in China increased at a rate of 5% from 2019 to 2029, which is significantly positively correlated with the growth of nighttime light data. The growth of nighttime light data is negatively correlated with the decrease in sulfur emissions in ports. This study can provide new ideas for the future green development of ports, thermal environment management.
The Impact of Improving Throughput Efficiency of Coastal Ports Based on Machine Learning Methods on Sulfur Emissions
Advances in Engineering res
Ahmad, Zakiah (Herausgeber:in) / Ghadiri, Seyed Mohammadreza (Herausgeber:in) / Li, Rita Yi Man (Herausgeber:in) / Lang, Ruiqing (Herausgeber:in) / Wang, Xumeng (Autor:in)
International Conference on Urban Construction and Management Engineering ; 2024 ; Xi'an, China
17.09.2024
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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