Study of the Relationship between Urban Expansion and PM10 Concentration Using Multi-Temporal Spatial Datasets and the Machine Learning Technique: Case Study for Daegu, South Korea

Study of the Relationship between Urban Expansion and PM10 Concentration Using Multi-Temporal Spatial Datasets and the Machine Learning Technique: Case Study for Daegu, South Korea

To protect the population from respiratory diseases and to prevent the damages due to air pollution, the main cause of air pollution should be identified. This research assessed the relationship between the airborne particulate concentrations (PM10) and the urban expansion in Daegu City in South Kor...

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Bibliographic Details
Main Authors: Yun-Jae Choung, Jin-Man Kim
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
coarse particle
particulate matter 10 (PM10)
landsat image
machine learning
support vector machine
Online Access:http://www.mdpi.com/2076-3417/9/6/1098

Internet

http://www.mdpi.com/2076-3417/9/6/1098

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