Advertisement

Application of Source-Receptor Techniques to the Assessment of Potential Source Areas in Western Mediterranean

  • Marta Alarcón
  • Anna Avila
  • Xavier Querol
  • Maria Rosa Soler
  • Marta Alarcón
  • Anna Avila
  • Xavier Querol
  • Maria Rosa Soler
  • Marta Alarcón
  • Anna Avila
  • Xavier Querol
  • Maria Rosa Soler
Conference paper

Receptor-oriented methodologies have been recently used to provide maps of potential sources for particular target species. Here, a receptor-oriented methodology has been applied to the chemistry of precipitation data collected at a background site in NE Spain (La Castanya rural station, LC) in order to identify the likely sources of anthropogenic pollutants (SO4 2-, NO3-, NH4+) and alkaline species to this site. The concentration fields were obtained on the basis of the residence time of the air mass trajectories in each source region.

Keywords

Concentration Field Anthropogenic Pollutant Background Site HYSPLIT Modeling Alpine Site 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Marta Alarcón
    • 1
  • Anna Avila
    • 2
  • Xavier Querol
    • 3
  • Maria Rosa Soler
    • 4
  • Marta Alarcón
    • 1
  • Anna Avila
    • 2
  • Xavier Querol
    • 3
  • Maria Rosa Soler
    • 4
  • Marta Alarcón
    • 1
  • Anna Avila
    • 2
  • Xavier Querol
    • 3
  • Maria Rosa Soler
    • 4
  1. 1.Department of Nuclear Physics and EngineeringUniversitat Politècnica de Catalunya (UPC)Spain
  2. 2.Center for Ecological Research and Forestry Applications (CREAF)Universitat Autònoma de BarcelonaSpain
  3. 3.Institut Jaume Almera (IJA)Consejo Superior de Investigaciones CientíficasSpain
  4. 4.Department of Astonomy & MeteorologyUniversity of BarcelonaSpain

Personalised recommendations