Experimental Setup and Machine Learning-Based Prediction Model for Electro-Cyclone Filter Efficiency: Filtering of Ship Particulate Matter Emission

Experimental Setup and Machine Learning-Based Prediction Model for Electro-Cyclone Filter Efficiency: Filtering of Ship Particulate Matter Emission

Ship emissions significantly impact air quality, particularly in coastal and port regions, contributing to elevated concentrations of PM<sub>2.5</sub>, and PM<sub>10</sub>, with varying effects observed across different locations. This study investigates the effectiveness of...

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Bibliographic Details
Main Authors: Aleksandr Šabanovič, Jonas Matijošius, Dragan Marinković, Aleksandras Chlebnikovas, Donatas Gurauskis, Johannes H. Gutheil, Artūras Kilikevičius
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
Subjects:
ship emissions
air quality
particulate matter
emission control policies
health risks of PM
hybrid filtration systems
Online Access:https://www.mdpi.com/2073-4433/16/1/103
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