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A Comprehensive Model for Quantifying, Predicting, and Evaluating Ship Emissions in Port Areas Using Novel Metrics and Machine Learning Methods

Seaports, as major transportation hubs, generate significant air pollution due to intensive ship traffic, directly affecting local air quality. While emission inventories are commonly used to manage ship-based air pollution, they reflect only the emission-related aspect of a specified period and are...

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Principais autores: Filip Bojić, Anita Gudelj, Rino Bošnjak
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2025-06-01
סדרה:Journal of Marine Science and Engineering
נושאים:
sustainable shipping
air pollution
metric system
machine learning
risk assessment
גישה מקוונת:https://www.mdpi.com/2077-1312/13/6/1162
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