A Nonlinear Land Use Regression Approach for Modelling NO<sub>2</sub> Concentrations in Urban Areas—Using Data from Low-Cost Sensors and Diffusion Tubes

A Nonlinear Land Use Regression Approach for Modelling NO<sub>2</sub> Concentrations in Urban Areas—Using Data from Low-Cost Sensors and Diffusion Tubes

Land Use Regression (LUR) based on multiple linear regression model is one of the techniques used most frequently for modelling the spatial variability of air pollution and assessing exposure in urban areas. In this paper, a nonlinear generalised additive model is proposed for LUR and its performanc...

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Bibliographic Details
Main Authors: Said Munir, Martin Mayfield, Daniel Coca, Lyudmila S Mihaylova
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Atmosphere
Subjects:
air quality modelling
land use regression
nonlinear regression
Sheffield
spatial analysis
low-cost sensors
Online Access:https://www.mdpi.com/2073-4433/11/7/736

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