By Gareth Porter;George C. Hildebrand
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Additional info for Cambodia: Starvation and Revolution
2006b; Tattari et al. 2009; Schmalz and Fohrer 2009; White and Chaubey 2005). In the initial trials several more parameters were tested for sensitivity but since the results proved to be not sensitive, they were not reported in this study. The lower and upper parameter bounds were chosen either as default values proposed by the model developers or were based on the available literature and the data. This step of defining parameter bounds is the most critical part of sensitivity analysis due to its strong impact on the final parameter ranking (Tattari et al.
In this study manual calibration also serves as a supporting tool for autocalibration. In this study the hydrological component of the SWAT model was applied to a large (28,000 km2) basin situated in the north-east of Poland, the Narew basin. Spatially distributed automatic calibration and validation procedure was performed in order to account for hydrological differences across the basin. Santhi et al. (2008) pointed out that a traditional approach of calibrating the model only at the catchment outlet cannot account for this kind of variations, whereas the objective of this study was not only to provide reliable flow simulations in the main outlet but also in the upstream sub-basins.
2). An average sub-basin area equals to 182 km2 and an average length of a reach in a sub-basin has 24 km. The land use map and the soil map were solely used to divide each sub-basin into HRUs, whose total number in the catchment equalled to 1,131. Due to the catchment’s rather flat topography, single slope option was chosen in the process of creation of HRUs. Land use classes had to be reclassified from the CLC 2000 land use classification into the SWAT classification. Three major land use classes were: arable land (44%), evergreen forests (22%) and grasslands (17%).