Published May 2018 | Version v1
Journal article

Air quality modelling in Catalonia from a combination of solar radiation, surface reflectance and elevation

  • 1. GITECO Research Group, Universidad de Cantabria, Av. de los Castros 44, 39005 Santander (Spain)
  • 2. Department of Geographical Engineering and Techniques of Graphic Expression, Universidad de Cantabria, Av. de los Castros 44, 39005 Santander (Spain)

Description

Highlights: • A new approach was conceived to model air quality in the region of Catalonia. • The proposed methodology combined geoprocessing tools and multivariate statistics. • Air quality was predicted from solar radiation, surface reflectance and elevation. • The results provided highly accurate predictions of air quality at ungauged zones. • The presence of irradiated built-up areas was found to endanger air quality. Air quality in developed areas is being increasingly compromised by the effect of urbanization, which is favouring the presence of atmospheric pollutants derived from human-induced activities. Land cover change is one of the consequences most closely associated with urbanization, leading to a growing presence of dark built-up surfaces. The target of this investigation was to model the Catalonian Air Quality Index (CAQI) from the combined effect of the surface reflectance capacity of urban surfaces with solar radiation and elevation. Geoprocessing tools were used to produce the information required to characterise these variables in the buffer areas surrounding 75 different air quality monitoring stations located across the region. Cluster analysis and Multiple Linear Regression (MLR) were applied to group these stations according to their similarity and replicate the annual mean values of CAQI recorded in Catalonia in 2011, respectively. Finally, discriminant analysis enabled assigning ungauged areas to the cluster and MLR model that best fitted their solar radiation, surface reflectance and elevation features. The implementation of this approach resulted in highly accurate predictions of CAQI, providing a mechanism of identification of areas having a number of days with poor air quality during the year. Since these areas were related to the presence of land cover types with high sunlight absorption, the proposed methodology was suggested to support the adoption of measures aimed at controlling urban air pollution based on replacing built-up surfaces by green infrastructure.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2017.12.139

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2017.12.139;
PII
S0048969717335659;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
624
Journal Page Range
p. 189-200
ISSN
0048-9697
CODEN
STENDL

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.