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Estimation of Water Yield Under Various Climate Scenarios at a River Basin Scale in the Manimala River, Kerala, India


Affiliations
1 Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India
 

In the present study, a distributed hydrological model namely soil water analysis tool (SWAT) has been employed for Manimala River Basin in Kerala, India. The entire basin has been divided into 7 major sub-basin to predict the water balance components and their variability under changing climatic conditions. The calibration of the model using the observed data indicated the model parameters such as SOL_AWC, ESCO, GW_REVAP and CN are the sensitive parameters. The estimates of water balance component at basin and sub-basin level show that irrespective of land covers, the runoff generation is as high as 47% (runoff coefficient Q/P) and groundwater recharge is 36%. The estimate of ET is comparatively low.

Keywords

Water Yield, Climate Change, GCM, SWAT, Manimala.
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  • Estimation of Water Yield Under Various Climate Scenarios at a River Basin Scale in the Manimala River, Kerala, India

Abstract Views: 145  |  PDF Views: 138

Authors

B. Venkatesh
Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India
T. Chandramohan
Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India
M. K. Jose
Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India
B. K. Purandara
Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India
S. Varadaraju
Regional Centre, National Institute of Hydrology, Hanuman Nagar, Belagavi, Karnataka, India

Abstract


In the present study, a distributed hydrological model namely soil water analysis tool (SWAT) has been employed for Manimala River Basin in Kerala, India. The entire basin has been divided into 7 major sub-basin to predict the water balance components and their variability under changing climatic conditions. The calibration of the model using the observed data indicated the model parameters such as SOL_AWC, ESCO, GW_REVAP and CN are the sensitive parameters. The estimates of water balance component at basin and sub-basin level show that irrespective of land covers, the runoff generation is as high as 47% (runoff coefficient Q/P) and groundwater recharge is 36%. The estimate of ET is comparatively low.

Keywords


Water Yield, Climate Change, GCM, SWAT, Manimala.