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Impact of soil hydraulic parameter uncertainty on soil moisture modeling

Lien Loosvelt UGent, Valentijn Pauwels UGent, Wim Cornelis UGent, Gabriëlle De Lannoy UGent and Niko Verhoest UGent (2011) WATER RESOURCES RESEARCH. 47.
abstract
For simulations in basins where soil information is limited to soil type maps, a methodology is presented to quantify the uncertainty of soil hydraulic parameters arising from within-soil-class variability and to assess the impact of this uncertainty on soil moisture modeling. Continuous pedotransfer functions were applied to samples with different texture within each soil class to construct discrete probability distributions of the soil hydraulic parameters. When propagating the parameter distributions through a hydrologic model, a wide range of simulated soil moisture was generated within a single soil class. The pedotransfer function was found to play a crucial role in assessing the uncertainty in the modeled soil moisture, and the geographic origin of the pedotransfer function (region specific versus nonregion specific) highly affected the range and shape of the probability distribution of the soil hydraulic parameters. Furthermore, the modeled soil moisture distribution was found to be non-Gaussian. An accurate uncertainty assessment therefore requires the characterization of its higher-order moments. As an extension of this research, we have shown that applying continuous region-specific pedotransfer functions to the central point of a soil class is a better alternative to standard (often nonregion-specific) class pedotransfer functions for determining an average set of soil hydraulic parameters.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
soil hydraulic parameters, PEDO-TRANSFER FUNCTIONS, uncertainty, soil moisture, SENSITIVITY, ORGANIC-MATTER, PEDOTRANSFER FUNCTIONS, ENERGY-BALANCE PROCESSES, SPATIALLY-VARIABLE WATER, ATMOSPHERE-TRANSFER SCHEME, PREDICTION, TEXTURE, VARIABILITY
journal title
WATER RESOURCES RESEARCH
Water Resour. Res.
volume
47
article_number
W03505
pages
16 pages
Web of Science type
Article
Web of Science id
000288083500001
JCR category
WATER RESOURCES
JCR impact factor
2.957 (2011)
JCR rank
3/78 (2011)
JCR quartile
1 (2011)
ISSN
0043-1397
DOI
10.1029/2010WR009204
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1211547
handle
http://hdl.handle.net/1854/LU-1211547
date created
2011-04-22 10:03:47
date last changed
2011-04-29 16:28:56
@article{1211547,
  abstract     = {For simulations in basins where soil information is limited to soil type maps, a methodology is presented to quantify the uncertainty of soil hydraulic parameters arising from within-soil-class variability and to assess the impact of this uncertainty on soil moisture modeling. Continuous pedotransfer functions were applied to samples with different texture within each soil class to construct discrete probability distributions of the soil hydraulic parameters. When propagating the parameter distributions through a hydrologic model, a wide range of simulated soil moisture was generated within a single soil class. The pedotransfer function was found to play a crucial role in assessing the uncertainty in the modeled soil moisture, and the geographic origin of the pedotransfer function (region specific versus nonregion specific) highly affected the range and shape of the probability distribution of the soil hydraulic parameters. Furthermore, the modeled soil moisture distribution was found to be non-Gaussian. An accurate uncertainty assessment therefore requires the characterization of its higher-order moments. As an extension of this research, we have shown that applying continuous region-specific pedotransfer functions to the central point of a soil class is a better alternative to standard (often nonregion-specific) class pedotransfer functions for determining an average set of soil hydraulic parameters.},
  articleno    = {W03505},
  author       = {Loosvelt, Lien and Pauwels, Valentijn and Cornelis, Wim and De Lannoy, Gabri{\"e}lle and Verhoest, Niko},
  issn         = {0043-1397},
  journal      = {WATER RESOURCES RESEARCH},
  keyword      = {soil hydraulic parameters,PEDO-TRANSFER FUNCTIONS,uncertainty,soil moisture,SENSITIVITY,ORGANIC-MATTER,PEDOTRANSFER FUNCTIONS,ENERGY-BALANCE PROCESSES,SPATIALLY-VARIABLE WATER,ATMOSPHERE-TRANSFER SCHEME,PREDICTION,TEXTURE,VARIABILITY},
  language     = {eng},
  pages        = {16},
  title        = {Impact of soil hydraulic parameter uncertainty on soil moisture modeling},
  url          = {http://dx.doi.org/10.1029/2010WR009204},
  volume       = {47},
  year         = {2011},
}

Chicago
Loosvelt, Lien, Valentijn Pauwels, Wim Cornelis, Gabriëlle De Lannoy, and Niko Verhoest. 2011. “Impact of Soil Hydraulic Parameter Uncertainty on Soil Moisture Modeling.” Water Resources Research 47.
APA
Loosvelt, L., Pauwels, V., Cornelis, W., De Lannoy, G., & Verhoest, N. (2011). Impact of soil hydraulic parameter uncertainty on soil moisture modeling. WATER RESOURCES RESEARCH, 47.
Vancouver
1.
Loosvelt L, Pauwels V, Cornelis W, De Lannoy G, Verhoest N. Impact of soil hydraulic parameter uncertainty on soil moisture modeling. WATER RESOURCES RESEARCH. 2011;47.
MLA
Loosvelt, Lien, Valentijn Pauwels, Wim Cornelis, et al. “Impact of Soil Hydraulic Parameter Uncertainty on Soil Moisture Modeling.” WATER RESOURCES RESEARCH 47 (2011): n. pag. Print.