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Titel |
Use of field and laboratory methods for estimating unsaturated hydraulic properties under different land uses |
VerfasserIn |
S. Siltecho, C. Hammecker, V. Sriboonlue, C. Clermont-Dauphin, V. Trelo-ges, A. C. D. Antonino, R. Angulo-Jaramillo |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 3 ; Nr. 19, no. 3 (2015-03-03), S.1193-1207 |
Datensatznummer |
250120647
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Publikation (Nr.) |
copernicus.org/hess-19-1193-2015.pdf |
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Zusammenfassung |
Adequate water management is required to improve the efficiency and
sustainability of agricultural systems when water is scarce or over-abundant,
especially in the case of land use changes. In order to quantify, to predict
and eventually to control water and solute transport into soil, soil
hydraulic properties need to be determined precisely. As their determination
is often tedious, expensive and time-consuming, many alternative field and
laboratory techniques are now available. The aim of this study was to
determine unsaturated soil hydraulic properties under different land uses and
to compare the results obtained with different measurement methods (Beerkan,
disc infiltrometer, evaporation, pedotransfer function). The study has been
realized on a tropical sandy soil in a mini-watershed in northeastern
Thailand. The experimental plots were positioned in a rubber tree plantation
in different positions along a slope, in ruzi grass pasture and in an
original forest site. Non-parametric statistics demonstrated that van
Genuchten unsaturated soil parameters (Ks, α and n) were
significantly different according to the measurement methods employed,
whereas the land use was not a significant discriminating factor when all
methods were considered together. However, within each method, parameters n
and α were statistically different according to the sites. These
parameters were used with Hydrus1D for a 1-year simulation and computed
pressure head did not show noticeable differences for the various sets of
parameters, highlighting the fact that for modeling, any of these measurement methods could be employed. The choice of
the measurement method would therefore be motivated by the simplicity,
robustness and its low cost. |
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