Computer-based mathematical models are used in water management research to
represent ecological problems, simulate different processes, deal with such
problems and support their solution. Such studies require an
interdisciplinary approach that is both user-friendly and comprehensive to
integrate all of the processes that occur in nature. The use of available
hydrological models requires a model setup with a reasonable level of data
quality and quantity to represent catchment features to emphasize the
distinctive local character of ecosystems. One of the models that comply
with such requirements is the Soil and Water Assessment Tool (SWAT). This
paper aims to address the possible impact of different spatial and
precipitation input data on the catchment features by using SWAT for the
case study of the floodplain located within the Danube River Basin in
Serbia. The objective was to evaluate the impact of digital elevation
models, land use, and soil types with different resolutions (1) SRTM and
ASTER (30 m), TanDEM-X (12.5 m), (2) CORINE and GlobCover land use
databases, and (3) FAO/UNESCO world soil map and digitized soil map of
Vojvodina Province on catchment delineation. The research was conducted
alongside the analysis of precipitation, using data from the CFSR,
CarpatClim, and the national yearbooks. Regarding the spatial data, the
results indicate that the high-resolution data need to be adjusted for this
area, while the ASTER layer is suitable at an acceptable level for further
modeling in SWAT. Interpolated precipitation data are better to use due to
their higher resolution (10km) and the heterogeneous distribution of rain
gauge stations.