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| Titel |
The Role of Vegetation Interception on the Streamflow Prediction at the Mesoscale |
| VerfasserIn |
R. Kumar, L. Samaniego |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250024579
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| Zusammenfassung |
| Several studies underline the importance of interception as one of the key processes affecting
the water balance at the mesoscale. Often this process, in the hydrological models, is either
disregarded or taken as a fixed percentage of the precipitation, so as to reduce the model
complexity in terms of number of calibration parameters. With the increasingly availability
of remotely sensed data on the vegetation cover such as leaf area index (LAI), it
becomes possible to estimate the role of vegetation. The objective of this paper
is to study the role of vegetation interception on the streamflow prediction in the
mesoscale catchment. The present study uses a grid based mesoscale Hydrologic
Model (mHM), in which the canopy interception of vegetation cover is modeled as the
function of LAI. The LAI data are obtained from the Moderate Resolution Imaging
Spectroradiometer (MODIS). The model is calibrated with and without taking interception
process into account. The proposed study was carried out at upper catchment of the Neckar
River (Germany) covering an area of approximately 4000 km2. Results obtained in this
study indicated that the interception process play a significant role on the prediction of stream
flow, in particular during the summer season. The Nash Sutcliffe Efficiency for the
daily discharge simulation during this season, with interception process was, on
average, 5% higher than that obtained without taking the interception process into the
account. |
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