Nonlinear air quality modeling using multivariate adaptive regression splines in Gijón urban area (Northern Spain) at local scale

作者：

Highlights：

• Three MARS models are built as predictive models of NO2, SO2 and PM10 concentrations with success.

• A new method to evaluate air quality in the industrial city of Gijón (Northern Spain) has been developed.

• The dependence relationships among different pollutants in this process are studied in depth.

摘要

•Three MARS models are built as predictive models of NO2, SO2 and PM10 concentrations with success.•A new method to evaluate air quality in the industrial city of Gijón (Northern Spain) has been developed.•The dependence relationships among different pollutants in this process are studied in depth.

论文关键词：Air quality modeling,Pollutant substances,Statistical learning,Multivariate adaptive regression splines (MARS)

论文评审过程：Available online 22 March 2014.

论文官网地址：https://doi.org/10.1016/j.amc.2014.02.096