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| Titel |
Distributed hydrological modelling of total dissolved phosphorus transport in an agricultural landscape, part I: distributed runoff generation |
| VerfasserIn |
P. Gérard-Marchant, W. D. Hively, T. S. Steenhuis |
| 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 ; 10, no. 2 ; Nr. 10, no. 2 (2006-04-26), S.245-261 |
| Datensatznummer |
250007985
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| Publikation (Nr.) |
 copernicus.org/hess-10-245-2006.pdf |
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| Zusammenfassung |
| Successful implementation of best management practices for reducing
non-point source (NPS) pollution requires knowledge of the location of
saturated areas that produce runoff. A physically-based, fully-distributed,
GIS-integrated model, the Soil Moisture Distribution and Routing (SMDR)
model was developed to simulate the hydrologic behavior of small rural
upland watersheds with shallow soils and steep to moderate slopes. The model
assumes that gravity is the only driving force of water and that most
overland flow occurs as saturation excess. The model uses available soil and
climatic data, and requires little calibration.
The SMDR model was used to simulate runoff production on a 164-ha farm
watershed in Delaware County, New York, in the headwaters of New York City
water supply. Apart from land use, distributed input parameters were derived
from readily available data. Simulated hydrographs compared reasonably with
observed flows at the watershed outlet over a eight year simulation period,
and peak timing and intensities were well reproduced. Using off-site weather
input data produced occasional missed event peaks. Simulated soil moisture
distribution agreed well with observed hydrological features and followed
the same spatial trend as observed soil moisture contents sampled on four
transects. Model accuracy improved when input variables were calibrated
within the range of SSURGO-available parameters. The model will be a useful
planning tool for reducing NPS pollution from farms in landscapes similar to
the Northeastern US. |
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