Skip to main content
SpringerLink
Log in

Local Model of the Air Quality on the Basis of Rough Sets Theory

  • Conference paper
Soft Computing Models in Industrial and Environmental Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 188))

Abstract

This article deals with the air quality modelling in two selected localities in the Czech Republic (CR). Data for the modelling were gained from the public sources. Primary source was the data server Czech Hydro Meteorological Institute (CHMI). Rough set theory (RST), Decision Trees (DTs) and Neutral Networks (NNs) were used for the analysis and the results comparison. At the end of the article there is the possible usage of the outputs of the models described. Outputs can help with the health protection of the inhabitants through the regulations set by the public administration authorities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aviso, K.B., Tan, R.R., Culaba, A.B.: Application of Rough Sets for Environmental De-cision Support in Industry. Clean Technologies and Environmental Policy 10, 53–66 (2007)

    Article  Google Scholar 

  2. Bellander, T., et al.: Using geographic information systems to assess individual historical exposure to air pollution from traffic and house heating in Stockholm. Environmental Health Perspectives 109(6), 363–369 (2001)

    Article  Google Scholar 

  3. Brauer, M., et al.: Air pollution from traffic and the development of respiratory infections and asthmatic and allergic symptoms in children. American Journal of Respiratory and Critical Care Medicine 166, 1092–1098 (2002)

    Article  Google Scholar 

  4. Corchado, E., Arroyo, A., Tricio, V.: Soft computing models to identify typical meteorological days. Logic Journal of the IGPL 19(2), 373–383 (2011)

    Article  MathSciNet  Google Scholar 

  5. ČRo Pardubice (Český rozhlas): Pardubicko trápí smog (2011), http://www.rozhlas.cz/pardubice/zpravodajstvi/_zprava/975676 (accesed November 17, 2011)

  6. Český hydrometeorologický Ústav (2012), http://www.chmi.cz (accesed February 1, 2012)

  7. Český hydrometeorologický ústav: Data AIM v grafech (2012), http://pr-asv.chmi.cz/IskoAimDataView/faces/aimdatavw/viewChart.jsf (accesed February 1, 2012)

  8. Černikovský, L., Volný, R.: Znečištění ovzduší a jeho zdroje v Ostravě. In: Konference o kvalitě ovzduší v Ostravě (April 2, 2012), http://www.ostrava.cz/cs/o-meste/zivotni-prostredi/6.-konference-o-kvalite-ovzdusi-v-ostrave-2012 (accesed April 15, 2012)

  9. Grzymala-Busse, J.W., Wang, A.Z.: Modified algorithms LEM1 and LEM2 for Rule Induction from Data with Missing Attribute Values. In: 5th Int. Workshop on Rough Sets and Soft Computing (RSSC 1997) at the Third Joint Conference on Information Sciences (JCIS 1997), pp. 69–72. Research Triangle Park, NC (1997)

    Google Scholar 

  10. Horák, et al.: Bilance emisí znečišťujících látek z malých zdrojů znečišťování se zaměřením na spalování tuhých paliv. Chemické Listy 105, 851–855 (2011)

    Google Scholar 

  11. IBM SPSS Modeler 14.2 User’s Guide (2012), ftp://ftp.software.ibm.com/software/analytics/spss/documentation/modeler/14.2/en/Users-Guide.pdf (accesed January 17, 2012)

  12. Jirava, P., Křupka, J., Kašparová, M.: System Modelling based on Rough and Rough-Fuzzy Approach. WSEAS Transactions on Information Science and Applications 10(5), 1438–1447 (2008)

    Google Scholar 

  13. Kasparova, M., Krupka, J., Jirava, P.: Approaches to Air Quality Assessment in Locality of the Pardubice Region. In: 5th Int. Conf. Environmental Accounting Sustainable Development Indicators (EMAN 2009), Prague, Czech Repulbic, pp. 1–12 (2009)

    Google Scholar 

  14. Kasparova, M., Krupka, J.: Air Quality Modelling by Decision Trees in the Czech Re-public Locality. In: 8th WSEAS Int. Conf. on Applied Informatics and Communications (AIC 2008), pp. 196–201. WSEAS Press, Greece (2008)

    Google Scholar 

  15. Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets: A tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough-Fuzzy Hybridization: A New Trend in Decision-Making, pp. 3–98. Springer, Singapore (1998)

    Google Scholar 

  16. Kudo, Y., Murai, T.: A method of Generating Decision Rules in Object Oriented Rough Set Models. In: Rough Sets and Current Trends in Computing (RSCTC 2006), Kobe, Japan (2006)

    Google Scholar 

  17. Maimon, O., Rokach, L.: Decomposition metodology for knowledge discovery and data mining. World Scientific Publishing, London (2005)

    Google Scholar 

  18. Město Pardubice – Město je ohroženo smogem, byl vyhlášen signál upozornění (2011), http://www.pardubice.eu/urad/radnice/media/tiskove-zpravy/tz2011/tisk-111114.html (accesed November 19, 2011)

  19. Nařízení vlády 350/2002 Sb., kterým se stanovují imisní limity a podmínky a způsob sle-dování, posuzování, hodnocení a řízení kvality ovzduší, v platném znění (2002)

    Google Scholar 

  20. Neri, M., et al.: Children’s exposure to environmental pollutants and biomarkers of ge-netic damage: II. Results of a comprehensive literature search and meta-analysis. Mutation Research/Reviews in Mutation Research 612(1), 14–39 (2006)

    Article  Google Scholar 

  21. Olej, V., Obršálová, I., Křupka, J. (eds.): Modelling of selected areas of sustainable development by artificial intelligence and soft computing: regional level. Grada Publishing, The Czech Republic (2009)

    Google Scholar 

  22. Olej, V., Obrsalova, I., Krupka, J. (eds.) Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods. IGI Global (2011)

    Google Scholar 

  23. Pal, S.K., Skowron, A. (eds.): Rough-Fuzzy Hybridization: A New Trend in Decision Making. Springer, Singapore (1999)

    MATH  Google Scholar 

  24. Pawlak, Z.: Rough Sets – Theoretical Aspects of Reasoning about Data. Kluwer, Boston (1991)

    MATH  Google Scholar 

  25. Pawlak, Z.: Rough set approach to knowledge-based decision support. European Journal of Operational Research 99, 48–57 (1997)

    Article  MATH  Google Scholar 

  26. Portney, R.P., Stavins, R.N.: Public Policies for Enviromental Protection, Washington (2000)

    Google Scholar 

  27. Rokach, L., Maimon, O.: Data mining with decision trees: Theory and applications. World Scientific Publishing, London (2008)

    MATH  Google Scholar 

  28. Topinka, J., Binková, B., Mračková, G.: Influence of GSTM1 and NAT2 genotypes on placental DNA adducts in an environmentally exposed population. Environmental and Molecular Mutagenesis 30, 184–195 (1997), doi:10.1002/(SICI)1098-2280(1997)30:2<184::AID-EM11>3.0.CO;2-9

    Google Scholar 

  29. Skowron, A., Bazan, J., Szczuka, M.S., Wroblewski, J.: Rough Set Exploration System (version 2.2.2) (2009), http://logic.mimuw.edu.pl/~rses/ (accesed May 15, 2010)

  30. Stanczyk, U.: On Construction of Optimised Rough Set-based Classifier. Int. Journal of Mathematical Models and Methods in Applied Sciences 2, 533–542 (2008)

    Google Scholar 

  31. WHO. IPCS: Environmental health criteria 210 - Principles for the assessment of risks to human health from exposure to chemicals, Geneva (1999)

    Google Scholar 

  32. Zákon č. 86/2002 Sb., o ochraně ovzduší a o změně některých dalších zákonů (zákon o ochraně ovzduší), v platném znění

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Studentská 84, 532 10, Pardubice, Czech Republic

    Filip Mezera & Jiří Křupka

Authors
  1. Filip Mezera
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiří Křupka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Filip Mezera .

Editor information

Editors and Affiliations

  1. VŠB-TU Ostrava, 17. listopadu 15, Ostrava, 70833, Czech Republic

    Václav Snášel

  2. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, 98071-2259, Washington, USA

    Ajith Abraham

  3. , Dept. de Informática y Automática, University of Salamanca, Plaza de la Merced, s/n, Salamanca, 37008, Spain

    Emilio S. Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mezera, F., Křupka, J. (2013). Local Model of the Air Quality on the Basis of Rough Sets Theory. In: Snášel, V., Abraham, A., Corchado, E. (eds) Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32922-7_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32922-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32921-0

  • Online ISBN: 978-3-642-32922-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation