A hybrid model for estimating the number concentration of ultrafine particles based on machine learning algorithms in central Taiwan

A hybrid model for estimating the number concentration of ultrafine particles based on machine learning algorithms in central Taiwan

Modeling is a cost-effective measure to estimate ultrafine particle (UFP) levels. Previous UFP estimates generally relied on land-use regression with insufficient temporal resolution. We carried out in-situ measurements for UFP in central Taiwan and developed a model incorporating satellite-based me...

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Bibliographic Details
Main Authors: Chau-Ren Jung, Wei-Ting Chen, Li-Hao Young, Ta-Chih Hsiao
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Environment International
Subjects:
Estimation model
Feature importance
Machine learning
Meteorological variables
Satellite-based measurement
Ultrafine particles
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412023002106

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