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Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
by
Vilán, J. A. Vilán
, Nieto, P. J. García
, Antón, J. C. Álvarez
, García-Gonzalo, E.
in
Air Pollutants - analysis
/ Air pollution
/ Air Pollution - analysis
/ Air Pollution - statistics & numerical data
/ Air quality
/ Air quality standards
/ Airborne particulates
/ Aquatic Pollution
/ Artificial intelligence
/ Atmosphere
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon monoxide
/ Carbon Monoxide - analysis
/ Cities - statistics & numerical data
/ Coal-fired power plants
/ Cold
/ Construction
/ data collection
/ Earth and Environmental Science
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental Monitoring
/ Environmental science
/ Fatalities
/ Indoor air quality
/ learning
/ Mars
/ Mathematical models
/ Models, Theoretical
/ National Ambient Air Quality Standards
/ Neural networks
/ nitric oxide
/ Nitrogen oxides
/ Nitrogen Oxides - analysis
/ Outdoor air quality
/ ozone
/ Ozone - analysis
/ people
/ Photochemicals
/ Pollutants
/ prediction
/ Regression
/ Regression Analysis
/ Research Article
/ Sea level
/ Spain
/ Splines
/ Studies
/ Sulfur
/ Sulfur dioxide
/ Sulfur Dioxide - analysis
/ United States
/ Urban areas
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2015
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Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
by
Vilán, J. A. Vilán
, Nieto, P. J. García
, Antón, J. C. Álvarez
, García-Gonzalo, E.
in
Air Pollutants - analysis
/ Air pollution
/ Air Pollution - analysis
/ Air Pollution - statistics & numerical data
/ Air quality
/ Air quality standards
/ Airborne particulates
/ Aquatic Pollution
/ Artificial intelligence
/ Atmosphere
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon monoxide
/ Carbon Monoxide - analysis
/ Cities - statistics & numerical data
/ Coal-fired power plants
/ Cold
/ Construction
/ data collection
/ Earth and Environmental Science
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental Monitoring
/ Environmental science
/ Fatalities
/ Indoor air quality
/ learning
/ Mars
/ Mathematical models
/ Models, Theoretical
/ National Ambient Air Quality Standards
/ Neural networks
/ nitric oxide
/ Nitrogen oxides
/ Nitrogen Oxides - analysis
/ Outdoor air quality
/ ozone
/ Ozone - analysis
/ people
/ Photochemicals
/ Pollutants
/ prediction
/ Regression
/ Regression Analysis
/ Research Article
/ Sea level
/ Spain
/ Splines
/ Studies
/ Sulfur
/ Sulfur dioxide
/ Sulfur Dioxide - analysis
/ United States
/ Urban areas
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2015
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Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
by
Vilán, J. A. Vilán
, Nieto, P. J. García
, Antón, J. C. Álvarez
, García-Gonzalo, E.
in
Air Pollutants - analysis
/ Air pollution
/ Air Pollution - analysis
/ Air Pollution - statistics & numerical data
/ Air quality
/ Air quality standards
/ Airborne particulates
/ Aquatic Pollution
/ Artificial intelligence
/ Atmosphere
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Carbon monoxide
/ Carbon Monoxide - analysis
/ Cities - statistics & numerical data
/ Coal-fired power plants
/ Cold
/ Construction
/ data collection
/ Earth and Environmental Science
/ Ecotoxicology
/ Environment
/ Environmental Chemistry
/ Environmental Health
/ Environmental impact
/ Environmental Monitoring
/ Environmental science
/ Fatalities
/ Indoor air quality
/ learning
/ Mars
/ Mathematical models
/ Models, Theoretical
/ National Ambient Air Quality Standards
/ Neural networks
/ nitric oxide
/ Nitrogen oxides
/ Nitrogen Oxides - analysis
/ Outdoor air quality
/ ozone
/ Ozone - analysis
/ people
/ Photochemicals
/ Pollutants
/ prediction
/ Regression
/ Regression Analysis
/ Research Article
/ Sea level
/ Spain
/ Splines
/ Studies
/ Sulfur
/ Sulfur dioxide
/ Sulfur Dioxide - analysis
/ United States
/ Urban areas
/ Waste Water Technology
/ Water Management
/ Water Pollution Control
2015
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Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
Journal Article
Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
2015
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Overview
The aim of this research work is to build a regression model of air quality by using the multivariate adaptive regression splines (MARS) technique in the Oviedo urban area (northern Spain) at a local scale. To accomplish the objective of this study, the experimental data set made up of nitrogen oxides (NO
x
), carbon monoxide (CO), sulfur dioxide (SO
2
), ozone (O
3
), and dust (PM
10
) was collected over 3 years (2006–2008). The US National Ambient Air Quality Standards (NAAQS) establishes the limit values of the main pollutants in the atmosphere in order to ensure the health of healthy people. Firstly, this MARS regression model captures the main perception of statistical learning theory in order to obtain a good prediction of the dependence among the main pollutants in the Oviedo urban area. Secondly, the main advantages of MARS are its capacity to produce simple, easy-to-interpret models, its ability to estimate the contributions of the input variables, and its computational efficiency. Finally, on the basis of these numerical calculations, using the MARS technique, conclusions of this research work are exposed.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
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