Soft computing models to analyze atmospheric pollution issues

Logic Journal of the IGPL 20 (4):699-711 (2012)
  Copy   BIBTEX

Abstract

Multidisciplinary research into statistical and soft computing models is detailed that analyses data on emissions of atmospheric pollution in urban areas. The research analyses the impact on atmospheric pollution of an extended bank holiday weekend in Spain. Levels of atmospheric pollution are classified in relation to the days of the week, seeking to differentiate between working days and non-working days by taking account of such aspects as industrial activity and traffic levels. The case study is based on data collected by a station at the city of Burgos, which forms part of the pollution measurement station network within the Spanish Autonomous Region of Castile-Leon

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,991

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Analytics

Added to PP
2015-02-04

Downloads
9 (#1,279,545)

6 months
8 (#415,825)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations