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MODELLING RAINFALL‐RUNOFF FROM LARGE CATCHMENT TO BASIN SCALE: THE GOULBURN VALLEY, VICTORIA
Author(s) -
YU. SCHREIDER S.,
JAKEMAN A. J.,
PITTOCK A. B.
Publication year - 1996
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/(sici)1099-1085(199606)10:6<863::aid-hyp376>3.0.co;2-8
Subject(s) - surface runoff , streamflow , environmental science , drainage basin , hydrology (agriculture) , precipitation , water balance , hydrological modelling , structural basin , climate change , catchment hydrology , scale (ratio) , climatology , geology , meteorology , geography , ecology , paleontology , oceanography , cartography , geotechnical engineering , biology
A lumped parameter dynamic rainfall‐runoff model, IHACRES, is applied to the large upland area (more than 4500 km 2 ) of the Goulburn Valley Basin, Victoria, Australia to predict streamflow under different climatic conditions. This paper presents the first evaluation of a rainfall–runoff model at large catchment scale, which is comprehensive in terms of the number of catchments investigated and the number of calibration and simulation periods used. The basin is subdivided into 12 catchments (from 100 to 700 km 2 ), each of which is calibrated separately. High values of model efficiency and low bias are consistently obtained for different calibration sub‐periods for all catchments in the basin. Simulation or so‐called validation tests are used to select the best models for each catchment. This allows simulation of the water regime during long historical (approximately 90 year) periods when only climatological (rainfall and temperature) data were available. This procedure is extremely important for the estimation of the effect of climate variability and of the possible impact of climate change on the hydrological regime in the region and, in particular, for supporting irrigation management of the basin. Analysis of a composite catchment (2417 km 2 ) and its five separate subcatchments indicates that the information content in the rainfall–streamflow data is independent of catchment size. Dynamic modelling of the daily water balance at the macroscale is limited principally by the adequacy of the precipitation gauging network. When a good estimate of areal precipitation is available for a catchment, it is not necessary to consider subcatchment‐scale variability for modelling if the only interest is the daily discharge and evaporation losses from the catchment.