000			a
999			_c14605 _d14605
003			OSt
005			20210306113521.0
008			210306b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_913616 _aBhattacharjya, Rajib Kumar
245			_a Modified Penalty Parameter Approach for Optimal Estimation of UH with Simultaneous Estimation of Infiltration Parameters
250			_aVol,99(3), September
260			_aKolkata _bSpringer _c2018
300			_a609-615p.
520			_a unit hydrograph and the infiltration parameters of a watershed can be obtained from observed rainfall–runoff data by using inverse optimization technique. This is a two-stage optimization problem. In the first stage, the infiltration parameters are obtained and the unit hydrograph ordinates are estimated in the second stage. In order to combine this two-stage method into a single stage one, a modified penalty parameter approach is proposed for converting the constrained optimization problem to an unconstrained one. The proposed approach is designed in such a way that the model initially obtains the infiltration parameters and then searches the optimal unit hydrograph ordinates. The optimization model is solved using Genetic Algorithms. A reduction factor is used in the penalty parameter approach so that the obtained optimal infiltration parameters are not destroyed during subsequent generation of genetic algorithms, required for searching optimal unit hydrograph ordinates. The performance of the proposed methodology is evaluated by using two example problems. The evaluation shows that the model is superior, simple in concept and also has the potential for field application.
650		0	_94621 _aCivil Engineering
773	0		_x 2250-2149 _dSwitzerland Springer _tJournal of the institution of engineers (India): Series A
856			_uhttps://link.springer.com/article/10.1007/s40030-018-0311-x _yClick Here
942			_2ddc _cAR