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Regressive modelling of soil water table fluctuations

Geert Boucneau, Marc Van Meirvenne UGent, J Desmet and Georges Hofman UGent (1996) MATHEMATICS AND COMPUTERS IN SIMULATION. 42(2-3). p.271-277
abstract
Environmental and agricultural studies require spatial information on the soil water table level. Data collection based on dip-well measurements requires frequent measurements and a high number of dip-wells as the soil water table depth is varying strongly within short distances and time intervals. This paper presents a model based method, requiring a limited number of dip-wells and related mapped soil information, to describe water table depth fluctuations in time and space. A dip-well specific, regressive model was developed with meteorological data as input. This model described the fluctuations in time at the dip-well locations successfully. Based on the relationship between model parameters and mapped soil data, spatially extended models were created.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (proceedingsPaper)
publication status
published
subject
journal title
MATHEMATICS AND COMPUTERS IN SIMULATION
Math. Comput. Simul.
editor
RJL Hanus
volume
42
issue
2-3
issue title
Mathematical modelling and simulation in agriculture and bio-industries : proceedings of the 1st IMACS-IFAC symposium M su2 SABI
pages
271 - 277
conference name
1st IMACS/IFAC symposium on Mathematical Modelling and Simulation in Agriculture and Bio-Industries (M2SABI)
conference location
Brussels, Belgium
conference start
1995-05-09
conference end
1995-05-12
Web of Science type
Article
ISSN
0378-4754
DOI
10.1016/0378-4754(95)00125-5
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
190729
handle
http://hdl.handle.net/1854/LU-190729
date created
2004-01-14 13:41:00
date last changed
2010-12-08 14:56:53
@article{190729,
  abstract     = {Environmental and agricultural studies require spatial information on the soil water table level. Data collection based on dip-well measurements requires frequent measurements and a high number of dip-wells as the soil water table depth is varying strongly within short distances and time intervals. This paper presents a model based method, requiring a limited number of dip-wells and related mapped soil information, to describe water table depth fluctuations in time and space. A dip-well specific, regressive model was developed with meteorological data as input. This model described the fluctuations in time at the dip-well locations successfully. Based on the relationship between model parameters and mapped soil data, spatially extended models were created.},
  author       = {Boucneau, Geert and Van Meirvenne, Marc and Desmet, J and Hofman, Georges},
  editor       = {Hanus, RJL},
  issn         = {0378-4754},
  journal      = {MATHEMATICS AND COMPUTERS IN SIMULATION},
  language     = {eng},
  location     = {Brussels, Belgium},
  number       = {2-3},
  pages        = {271--277},
  title        = {Regressive modelling of soil water table fluctuations},
  url          = {http://dx.doi.org/10.1016/0378-4754(95)00125-5},
  volume       = {42},
  year         = {1996},
}

Chicago
Boucneau, Geert, Marc Van Meirvenne, J Desmet, and Georges Hofman. 1996. “Regressive Modelling of Soil Water Table Fluctuations.” Ed. RJL Hanus. Mathematics and Computers in Simulation 42 (2-3): 271–277.
APA
Boucneau, G., Van Meirvenne, M., Desmet, J., & Hofman, G. (1996). Regressive modelling of soil water table fluctuations. (R. Hanus, Ed.)MATHEMATICS AND COMPUTERS IN SIMULATION, 42(2-3), 271–277. Presented at the 1st IMACS/IFAC symposium on Mathematical Modelling and Simulation in Agriculture and Bio-Industries (M2SABI).
Vancouver
1.
Boucneau G, Van Meirvenne M, Desmet J, Hofman G. Regressive modelling of soil water table fluctuations. Hanus R, editor. MATHEMATICS AND COMPUTERS IN SIMULATION. 1996;42(2-3):271–7.
MLA
Boucneau, Geert, Marc Van Meirvenne, J Desmet, et al. “Regressive Modelling of Soil Water Table Fluctuations.” Ed. RJL Hanus. MATHEMATICS AND COMPUTERS IN SIMULATION 42.2-3 (1996): 271–277. Print.