期刊名称：Journal of Environmental Hydrology (ältere Jahrgänge)
印刷版ISSN：1058-3912
电子版ISSN：1996-7918
出版年度：2004
卷号：12
出版社：IAEH
摘要：Accurate representation of the physical and biological features of the landscape within the watershed is required as the extent and type of watershed cover affects the movement of water in the hydrologic cycle. Remote sensing (RS), such as satellite imagery from Landsat and other satellites, provides land-cover and surface microclimate information with high temporal and spatial accuracy. The use of these data to understand hydrologic processes depends on how accurately they are interpreted and mapped. A study conducted at the Heart River sub-basin in the Missouri River basin, located on southwestern North Dakota, utilizes Landsat Enhanced Thematic Mapper Plus imagery and geographic information system (GIS) tools to derive landcover for the summer of 2002. Land surface temperature and Normalized Difference Vegetation Index (NDVI) from the Landsat image was used to better map the land-cover and estimate runoff response. The corresponding infiltration excess runoff response of the study area was estimated using the United States Department of Agriculture, Natural Resources Conservation Service Curve Number (USDA-NRCS-CN) method. A Digital Elevation Model (DEM)-RS-GIS routing technique based on a 1-D kinematic wave approximation was developed to predict stream response to runoff events based on the travel time from each grid cell to the watershed outlet. Simulated and observed runoff volume and hydrographs were compared for three storm events. The NRCS-CN method with the DEM-RS-GIS routing technique predicts the observed runoff volume with mean error and residual standard deviation of (–38% and 5 mm), peak flow (-15% and 2.38 m3/sec), and time to peak flow (17% and, 1.26 day), respectively.
