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Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model
- Source :
- International Journal of Environmental Research and Public Health, Vol 14, Iss 3, p 249 (2017), International Journal of Environmental Research and Public Health; Volume 14; Issue 3; Pages: 249, International Journal of Environmental Research and Public Health
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
Abstract
- The worsening atmospheric pollution increases the necessity of air quality early warning systems (EWSs). Despite the fact that a massive amount of investigation about EWS in theory and practicality has been conducted by numerous researchers, studies concerning the quantification of uncertain information and comprehensive evaluation are still lacking, which impedes further development in the area. In this paper, firstly a comprehensive warning system is proposed, which consists of two vital indispensable modules, namely effective forecasting and scientific evaluation, respectively. For the forecasting module, a novel hybrid model combining the theory of data preprocessing and numerical optimization is first developed to implement effective forecasting for air pollutant concentration. Especially, in order to further enhance the accuracy and robustness of the warning system, interval forecasting is implemented to quantify the uncertainties generated by forecasts, which can provide significant risk signals by using point forecasting for decision-makers. For the evaluation module, a cloud model, based on probability and fuzzy set theory, is developed to perform comprehensive evaluations of air quality, which can realize the transformation between qualitative concept and quantitative data. To verify the effectiveness and efficiency of the warning system, extensive simulations based on air pollutants data from Dalian in China were effectively implemented, which illustrate that the warning system is not only remarkably high-performance, but also widely applicable.
- Subjects :
- China
Support Vector Machine
air quality
early warning system
forecasting
comprehensive evaluation
010504 meteorology & atmospheric sciences
Computer science
Health, Toxicology and Mutagenesis
Fuzzy set
lcsh:Medicine
Cloud computing
010501 environmental sciences
computer.software_genre
01 natural sciences
Article
Robustness (computer science)
Air Pollution
Least squares support vector machine
Computer Simulation
Least-Squares Analysis
Air quality index
0105 earth and related environmental sciences
Air Pollutants
Warning system
business.industry
Research
lcsh:R
Uncertainty
Public Health, Environmental and Occupational Health
Models, Theoretical
Early warning system
Data pre-processing
Data mining
business
computer
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 16604601
- Volume :
- 14
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- International Journal of Environmental Research and Public Health
- Accession number :
- edsair.doi.dedup.....adde6ab56734e4d80c09fc001a36b73a