Comparison of Field Data and Water-Balance Predictions for a Capillary Barrier Cover
Predictions of surface runoff (R) , evapotranspiration (ET), soil–water storage (S) , and percolation obtained using three numerical codes (LEACHM, HYDRUS, and UNSAT-H) employed to simulate the hydrology of water-balance covers are compared to measured water-balance data from a lysimeter used to mon...
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Published in | Journal of geotechnical and geoenvironmental engineering Vol. 134; no. 4; pp. 470 - 486 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
American Society of Civil Engineers
01.04.2008
|
Subjects | |
Online Access | Get full text |
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Summary: | Predictions of surface runoff
(R)
, evapotranspiration (ET), soil–water storage
(S)
, and percolation obtained using three numerical codes (LEACHM, HYDRUS, and UNSAT-H) employed to simulate the hydrology of water-balance covers are compared to measured water-balance data from a lysimeter used to monitor a capillary barrier cover profile in a subhumid climate. All of the codes captured the seasonal variations in water-balance quantities observed in the field. LEACHM and HYDRUS predicted total
R
during the monitoring period with reasonable accuracy (within
18
mm
using general mean parameters), but the timing of predicted and observed
R
events was different. In contrast, UNSAT-H consistently overpredicted
R
by at least
239
mm
. Evapotranspiration was predicted reliably (within
60
mm
) with all three codes when data from the first year were excluded. However, all three codes overpredicted ET in late winter and early spring, when snowmelt was occurring and
S
was accumulating in the field. Consequently,
S
generally was underpredicted by all three codes. Predicted and measured percolation were in good agreement (within
1
mm∕year
), except during the first year. Results of the comparison indicate that cover modelers should scrutinize runoff predictions for reasonableness and carefully account for snow accumulation, snow melt, and ET during snow cover. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1090-0241 1943-5606 |
DOI: | 10.1061/(ASCE)1090-0241(2008)134:4(470) |