Seasonal Analysis and Machine Learning-Based Prediction of Air Pollutants in Relation to Meteorological Parameters: A Case Study from Sakarya, Türkiye

Seasonal Analysis and Machine Learning-Based Prediction of Air Pollutants in Relation to Meteorological Parameters: A Case Study from Sakarya, Türkiye

Air pollution poses significant environmental and public health challenges, especially in urban–industrial areas where pollutant dynamics are influenced by complex interactions with meteorological factors. This study examines the seasonal variations and correlations between air pollutants (PM<sub...

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Bibliographic Details
Main Authors: Beytullah Eren, Samiullah Serat, Yasemin Damar Arifoglu, Serkan Ozdemir
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
air pollution
meteorological parameters
multiple linear regression (MLR)
random forest (RF)
air quality management
Online Access:https://www.mdpi.com/2076-3417/15/8/4551
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