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Including spatially variable soil depths in TOPMODEL.

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Including spatially variable soil depths in TOPMODEL. / Saulnier, Georges-Marie; Beven, Keith J.; Obled, Charles.
In: Journal of Hydrology, Vol. 202, No. 1-4, 25.12.1998, p. 158-172.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Saulnier, G-M, Beven, KJ & Obled, C 1998, 'Including spatially variable soil depths in TOPMODEL.', Journal of Hydrology, vol. 202, no. 1-4, pp. 158-172. https://doi.org/10.1016/S0022-1694(97)00059-0

APA

Saulnier, G-M., Beven, K. J., & Obled, C. (1998). Including spatially variable soil depths in TOPMODEL. Journal of Hydrology, 202(1-4), 158-172. https://doi.org/10.1016/S0022-1694(97)00059-0

Vancouver

Saulnier G-M, Beven KJ, Obled C. Including spatially variable soil depths in TOPMODEL. Journal of Hydrology. 1998 Dec 25;202(1-4):158-172. doi: 10.1016/S0022-1694(97)00059-0

Author

Saulnier, Georges-Marie ; Beven, Keith J. ; Obled, Charles. / Including spatially variable soil depths in TOPMODEL. In: Journal of Hydrology. 1998 ; Vol. 202, No. 1-4. pp. 158-172.

Bibtex

@article{3ac9c541c4c04ee2b639dfaeb040cef4,
title = "Including spatially variable soil depths in TOPMODEL.",
abstract = "TOPMODEL (Beven and Kirkby, 1979; Beven et al., 1995) was one of the first attempts to model distributed hydrological responses based on variable contributing area concepts. It makes use of an index of hydrological similarity based on an analysis of the topographic data. The index approach was later generalised to take account of spatial variability of soil transmissivities, but no similar spatial analysis of the variability in the rate of the decrease of the transmissivity with depth has yet been examined. This paper shows how the TOPMODEL theory can be extended to handle this spatial variability, using a 2D distribution function of a new soil depth-topographic index of hydrological similarity. A first sensitivity analysis of the effect of variable soil depths on the model predictions for the Maurets catchment, France, is presented. Predicted discharges and calibrated parameter values are not sensitive to the patterns of effective soil depth investigated. Distributed predictions may be more sensitive but raise questions of how to obtain the parameter data required.",
keywords = "TOPMODEL, DTM, Hydraulic conductivity, Soil depth, Rainfall-runoff modelling",
author = "Georges-Marie Saulnier and Beven, {Keith J.} and Charles Obled",
year = "1998",
month = dec,
day = "25",
doi = "10.1016/S0022-1694(97)00059-0",
language = "English",
volume = "202",
pages = "158--172",
journal = "Journal of Hydrology",
publisher = "Elsevier Science B.V.",
number = "1-4",

}

RIS

TY - JOUR

T1 - Including spatially variable soil depths in TOPMODEL.

AU - Saulnier, Georges-Marie

AU - Beven, Keith J.

AU - Obled, Charles

PY - 1998/12/25

Y1 - 1998/12/25

N2 - TOPMODEL (Beven and Kirkby, 1979; Beven et al., 1995) was one of the first attempts to model distributed hydrological responses based on variable contributing area concepts. It makes use of an index of hydrological similarity based on an analysis of the topographic data. The index approach was later generalised to take account of spatial variability of soil transmissivities, but no similar spatial analysis of the variability in the rate of the decrease of the transmissivity with depth has yet been examined. This paper shows how the TOPMODEL theory can be extended to handle this spatial variability, using a 2D distribution function of a new soil depth-topographic index of hydrological similarity. A first sensitivity analysis of the effect of variable soil depths on the model predictions for the Maurets catchment, France, is presented. Predicted discharges and calibrated parameter values are not sensitive to the patterns of effective soil depth investigated. Distributed predictions may be more sensitive but raise questions of how to obtain the parameter data required.

AB - TOPMODEL (Beven and Kirkby, 1979; Beven et al., 1995) was one of the first attempts to model distributed hydrological responses based on variable contributing area concepts. It makes use of an index of hydrological similarity based on an analysis of the topographic data. The index approach was later generalised to take account of spatial variability of soil transmissivities, but no similar spatial analysis of the variability in the rate of the decrease of the transmissivity with depth has yet been examined. This paper shows how the TOPMODEL theory can be extended to handle this spatial variability, using a 2D distribution function of a new soil depth-topographic index of hydrological similarity. A first sensitivity analysis of the effect of variable soil depths on the model predictions for the Maurets catchment, France, is presented. Predicted discharges and calibrated parameter values are not sensitive to the patterns of effective soil depth investigated. Distributed predictions may be more sensitive but raise questions of how to obtain the parameter data required.

KW - TOPMODEL

KW - DTM

KW - Hydraulic conductivity

KW - Soil depth

KW - Rainfall-runoff modelling

U2 - 10.1016/S0022-1694(97)00059-0

DO - 10.1016/S0022-1694(97)00059-0

M3 - Journal article

VL - 202

SP - 158

EP - 172

JO - Journal of Hydrology

JF - Journal of Hydrology

IS - 1-4

ER -