Time Analysis of Air Pollution in a Spanish Region Through k-means
- 1.2k Downloads
This study presents the application of clustering techniques to a real-life problem of studying the air quality of the Castilla y León region in Spain. The goal of this work is to analyze the level of air pollution in eight points of this Spanish region between years 2008 and 2015. The analyzed data were provided by eight acquisition stations from the regional network of air quality. The main pollutants recorded at these stations are analyzed in order to study the characterization of such stations, according to a zoning process, and their time evolution. Four cluster evaluation and a clustering technique, with the main distance measures, have been applied to the dataset under analysis.
KeywordsClustering K-means Air quality Time evolution
- 1.Government of Spain - Aporta Project. http://administracionelectronica.gob.es
- 5.European Commission - Air Quality Standards. http://ec.europa.eu/environment/air/quality/standards.htm
- 6.Liu, Y., Li, Z., Xiong, H., Gao, X., Wu, J.: Understanding of internal clustering validation measures. In: IEEE International Conference on Data Mining, pp. 911–916 (2010)Google Scholar
- 13.Ding, C., He, X.: K-means clustering via principal component analysis. In: Proceedings of the Twenty-First International Conference on Machine Learning, p. 29 (2004)Google Scholar
- 15.Government of Castilla y León - Zoning of the territory in Castilla y León. http://www.jcyl.es/
- 16.European Union Law - Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. http://eur-lex.europa.eu/
- 17.Government of Castilla y León - Annual reports of the Air Quality. http://www.medioambiente.jcyl.es/
- 18.PubChem - PubChem Compounds. https://pubchem.ncbi.nlm.nih.gov/compound
- 19.ISO - International Organization for Standardization. PM10/PM2.5. https://www.iso.org/
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.