Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis-Reference-Cited by-同舟云学术

Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis

Published:2015-01-20 Issue:5 Volume:65 Page:628-640
ISSN:1096-2247
Container-title:Journal of the Air & Waste Management Association
language:en
Short-container-title:Journal of the Air & Waste Management Association

Author:

Alam Md. Saniul¹,McNabola Aonghus¹

Affiliation:

1. Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Dublin, Ireland

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal

Link

https://www.tandfonline.com/doi/pdf/10.1080/10962247.2015.1006377

Reference37 articles.

1. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

2. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies

3. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments

4. Neural Network and Multiple Regression Models for PM10 Prediction in Athens: A Comparative Assessment

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