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Identifying potentials for reducing uncertainty in critical load calculations using the PROFILE model

Barkman, Andreas and Alveteg, Mattias LU (2001) In Water, Air and Soil Pollution 125(1-4). p.35-54
Abstract
A sensitivity analysis was performed testingweathering rates, critical loads andexceedances for Swedish forest soils using Monte Carlosimulations of the PROFILE model. Different subsetsof input data were investigated with respect to theirpotential to reduce data uncertainty at site level butalso for modified estimates of the 5%-ile critical load andthe 95%-ile exceedance on 150×150 kmresolution. Physical soil properties were of dominantimportance for all sites and yield up to 62%reduction of the output standard deviation in weathering rate.The study showed that the critical ratio ofbase cations to inorganic aluminium (Bc/Al ratio) in the soilsolution was of major importance for reducingdata uncertainty in critical loads and exceedance... (More)
A sensitivity analysis was performed testingweathering rates, critical loads andexceedances for Swedish forest soils using Monte Carlosimulations of the PROFILE model. Different subsetsof input data were investigated with respect to theirpotential to reduce data uncertainty at site level butalso for modified estimates of the 5%-ile critical load andthe 95%-ile exceedance on 150×150 kmresolution. Physical soil properties were of dominantimportance for all sites and yield up to 62%reduction of the output standard deviation in weathering rate.The study showed that the critical ratio ofbase cations to inorganic aluminium (Bc/Al ratio) in the soilsolution was of major importance for reducingdata uncertainty in critical loads and exceedance estimates.The critical Bc/Al ratio was found to beimportant for reducing data uncertainties in modifiedestimates of the 5%-ile critical load and the95%-ile exceedance, in particular in the northern part ofSweden. Atmospheric deposition, uptake andlitterfall were more important for reducing data uncertaintyin the southern part. Physical soil propertiesand especially mineral content were found to be less importantfor reducing data uncertainties in criticalloads and exceedance estimates. The greatest scope forreducing data uncertainties in an applied perspectiveis to improve estimates of atmospheric deposition of anionsand cations as well as uptake and litterfall ofbase cations and nitrogen. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
acidification, Bc/Al, forest soil, PROFILE, sensitivity analysis
in
Water, Air and Soil Pollution
volume
125
issue
1-4
pages
35 - 54
publisher
Springer
external identifiers
  • scopus:0035135838
ISSN
1573-2932
DOI
10.1023/A:1005277204291
language
English
LU publication?
yes
id
6c2bc7fa-e75b-459f-997b-72a0ab0c957f (old id 697613)
date added to LUP
2008-07-16 12:32:28
date last changed
2018-01-07 05:30:49
@article{6c2bc7fa-e75b-459f-997b-72a0ab0c957f,
  abstract     = {A sensitivity analysis was performed testingweathering rates, critical loads andexceedances for Swedish forest soils using Monte Carlosimulations of the PROFILE model. Different subsetsof input data were investigated with respect to theirpotential to reduce data uncertainty at site level butalso for modified estimates of the 5%-ile critical load andthe 95%-ile exceedance on 150×150 kmresolution. Physical soil properties were of dominantimportance for all sites and yield up to 62%reduction of the output standard deviation in weathering rate.The study showed that the critical ratio ofbase cations to inorganic aluminium (Bc/Al ratio) in the soilsolution was of major importance for reducingdata uncertainty in critical loads and exceedance estimates.The critical Bc/Al ratio was found to beimportant for reducing data uncertainties in modifiedestimates of the 5%-ile critical load and the95%-ile exceedance, in particular in the northern part ofSweden. Atmospheric deposition, uptake andlitterfall were more important for reducing data uncertaintyin the southern part. Physical soil propertiesand especially mineral content were found to be less importantfor reducing data uncertainties in criticalloads and exceedance estimates. The greatest scope forreducing data uncertainties in an applied perspectiveis to improve estimates of atmospheric deposition of anionsand cations as well as uptake and litterfall ofbase cations and nitrogen.},
  author       = {Barkman, Andreas and Alveteg, Mattias},
  issn         = {1573-2932},
  keyword      = {acidification,Bc/Al,forest soil,PROFILE,sensitivity analysis},
  language     = {eng},
  number       = {1-4},
  pages        = {35--54},
  publisher    = {Springer},
  series       = {Water, Air and Soil Pollution},
  title        = {Identifying potentials for reducing uncertainty in critical load calculations using the PROFILE model},
  url          = {http://dx.doi.org/10.1023/A:1005277204291},
  volume       = {125},
  year         = {2001},
}