Water, Air, and Soil Pollution

, Volume 105, Issue 1, pp 21–30

Magic, Safe and Smart Model Applications at Integrated Monitoring Sites: Effects of Emission Reduction Scenarios


  • M. Forsius
    • Finnish Environment Institute
  • M. Alveteg
    • Chemical Engineering IILund University
  • A. Jenkins
    • Institute of Hydrology
  • M. Johansson
    • Finnish Environment Institute
  • S. Kleemola
    • Finnish Environment Institute
  • A. Lükewille
    • Norwegian Institute for Air Research
  • M. Posch
    • RIVM
  • H. Sverdrup
    • Chemical Engineering IILund University
  • C. Walse
    • Chemical Engineering IILund University

DOI: 10.1023/A:1005099930089

Cite this article as:
Forsius, M., Alveteg, M., Jenkins, A. et al. Water, Air, & Soil Pollution (1998) 105: 21. doi:10.1023/A:1005099930089


Three well-known dynamic acidification models (MAGIC, SAFE, SMART) were applied to data sets from five Integrated Monitoring sites in Europe. The calibrated models were used in a policy-oriented framework to predict the long-term soil acidification of these background forest sites, given different scenarios of future deposition of S and N. Emphasis was put on deriving realistic site-specific scenarios for the model applications. The deposition was calculated with EMEP transfer matrices and official emissions for the target years 2000, 2005 and 2010. The alternatives for S deposition were current reduction plans and maximum feasible reductions. For N, the NOx and NHy depositions were frozen at the present level. For NOx, a reduction scenario of flat 30% reduction from present deposition also was utilized to demonstrate the possible effects of such a measure. The three models yielded generally consistent results. The ‘Best prediction’-scenario (including the effects of the second UN/ECE protocol for reductions of SO2 emissions and present level for NOx-emissions), resulted in many cases in a stabilization of soil acidification, although significant improvements were not always shown. With the exception of one site, the ‘Maximum Feasible Reductions’ scenario always resulted in significant improvements. Dynamic models are needed as a complement to steady-state techniques for estimating critical loads and assessing emission reduction policies, where adequate data are available.


Copyright information

© Kluwer Academic Publishers 1998