A physics based distributed coupled integrated hydrological model, MIKE SHE/MIKE 11, has been calibrated using a multi-objective optimization approach for minimization of errors in prediction of stream flows and groundwater levels within a semi-arid Yerli sub-catchment of Upper Tapi basin in India. The performance of the calibrated model has been found to improve significantly in prediction of stream flows and groundwater levels within the sub-catchment while incorporating distributed Manning's roughness coefficient, vegetation, soil and geologic parameters in the model. Also, the model has been able to simulate the soil moisture satisfactorily for the areas falling within the plain area of the sub-catchment. Analyses of water balance (period 1991–1998, 1999–2004, 2005–2009 and 2010–2012) revealed that developed integrated hydrological model could simulate better dynamics of hydrological processes in terms of change in land use, groundwater draft and irrigation practices to maximize stakeholder sustainability.

已使用多目标优化方法对基于物理的分布式耦合综合水文模型MIKE SHE / MIKE 11进行了校准，以最小化上塔皮盆地半干旱耶尔河流域的水流和地下水位预测中的误差在印度。已经发现，在将子集水区的Manning糙率系数，植被，土壤和地质参数纳入模型的同时，预测模型的性能可以显着改善子汇水区的水流和地下水位。此外，该模型还能够令人满意地模拟子流域平原区域内的土壤湿度。水平衡分析（1991-1998年，1999-2004年，