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_c15255 _d15255 |
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| 003 | OSt | ||
| 005 | 20210924105538.0 | ||
| 008 | 210924b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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| 100 |
_914333 _aVenkatesh, B |
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| 245 | _aASSESSING EFFECT OF WET AND DRY YEAR DATA ON OPTIMAL MODEL PARAMETERS OF A CONCEPTUAL RAINFALL- RUNOFF MODEL | ||
| 250 | _aVol.39(4), Oct | ||
| 260 |
_aRoorkee _bIndian Water Resources Society _c2019 |
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| 300 | _a42-50p. | ||
| 520 | _aThe rainfall-runoff models are essential tools for the prediction of river flows over a wide range of climatic conditions. Changing climatic situations have greater influence on the model parameters and thus also on the prediction ability of the model. Potentially, there will be large uncertainties in the model simulations. Therefore, it is important to have a reliable prediction from hydrological models to develop tools for water resources management in the future. igates the effect of the wet and dry period data on the hydrological model parameters and on catchment hydrological Runoff model to Malaprabha sub-basin of Krishna basin using time series of rainfall, discharge and available for 21 year period. The wet and dry periods were identified through available long-termrainfall data using differential split were used for calibration andvalidation of ARNO model. The results indicate that,the model parameters show no significant variations under the changing climatic conditions. It was also noticed that, the transfer of model parameters (Wet to dry and Dry to wet) have smaller infl alibration of model on wet/dry year and validation on dry/wet climate show over-estimation of mean stimulated runoff (volumes) for few occasions. These results are indicative of applicability of ARNO model for prediction of hydrological responses unde Hydrological model, ARNO, Rainfall, Runoff, Malaprabha River Visvesvaraya... | ||
| 650 | 0 |
_94621 _aCivil Engineering |
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| 700 |
_914334 _aJayasree, V |
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| 773 | 0 |
_x0970-6984 _dRoorkee Indian Institute of Technology Roorkee _tJournal of indian water resource society |
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| 856 |
_uhttp://iwrs.org.in/journal/oct2019/6oct.pdf _yClick here |
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| 942 |
_2ddc _cAR |
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