A Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran

A Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran

Environmental pollution has mainly been attributed to urbanization and industrial developments across the globe. Air pollution has been marked as one of the major problems of metropolitan areas around the world, especially in Tehran, the capital of Iran, where its administrators and residents have l...

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Bibliographic Details
Main Authors: Mahmoud Reza Delavar, Amin Gholami, Gholam Reza Shiran, Yousef Rashidi, Gholam Reza Nakhaeizadeh, Kurt Fedra, Smaeil Hatefi Afshar
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
air pollution
prediction
machine learning
regression SVM
geographically weighted regression
artificial neural network
auto-regressive nonlinear neural
interpolation
genetic algorithm
Online Access:https://www.mdpi.com/2220-9964/8/2/99

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