Abstract | ||
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Land-cover impacts volume, intensity and contamination of runoff generated by rainfall events in catchments. This study demonstrates how the method used for estimation of land-cover proportions impacts the runoff from a distributed, physically based hydrological model - WetSpa. The study area is the urbanized catchment of Biala River, situated in the northeastern part of Poland. Three scenarios of land-cover proportion estimation were tested: a semi-distributed approach where the average proportion of impervious surface cover per land-use type is estimated based on hard classification of a high-resolution IKONOS scene and two distributed approaches with land-cover class proportions estimated at the level of individual cells based on hard classification of a high-resolution IKONOS scene and sub-pixel classification of a medium-resolution Landsat 5 TM scene respectively. Validation of the three scenarios based on a comparison of modeled versus observed discharge shows that best results are obtained for the two distributed scenarios with a Nash-Sutcliffe efficiency (NS) of 0.62 for the hard classification approach and NS = 0.63 for the sub-pixel approach. The hard classification approach performed best in the estimation of peak discharges. The semi-distributed modeling scenario resulted in the lowest simulation efficiency (NS = 0.40) and did not perform well in estimating observed peak discharges. It is concluded that scenarios in which land-cover proportions are distributed improved considerably the simulation results of hydrological processes in physically based models. (C) 2011 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
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2012 | 10.1016/j.jag.2011.11.007 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Hydrological modeling,Land-cover,Sub-pixel classification,Impervious surfaces,High resolution imagery,Landsat,Ikonos,Urbanized catchment | Impervious surface,Drainage basin,Hydrology,Remote sensing,Surface runoff,Land cover,Geography,Urban runoff,Precipitation | Journal |
Volume | ISSN | Citations |
16 | 0303-2434 | 3 |
PageRank | References | Authors |
0.74 | 3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tomasz Berezowski | 1 | 3 | 1.41 |
Jaroslaw Chormanski | 2 | 4 | 2.98 |
Okke Batelaan | 3 | 36 | 6.89 |
Frank Canters | 4 | 170 | 21.66 |
Tim Van de Voorde | 5 | 57 | 8.78 |