Author(s): Siti Humaira Haron, Ismail Sahid, Nor Faiza Abd Rahman, Khairi Khalid, Muhammad Radzali Mispan, Lariyah Mohd Sidek
Linked Author(s): Siti Humaira Haron
Keywords: Hydrological modeling, monthly streamflow, SWAT input parameter, SUFI-2 algorithms
Abstract: Hydrological model is an important tool in enabling the researchers to predict the runoff in the catchment areas and assess the water resources management practices. Distributed models must undergo calibration procedures before it is used to help in making decisions in the planning and management of water resources. Generally, manual calibration is performed repeatedly which is time-consuming and needs experienced staffs. This paper describes a semi-automatic approach for calibrating long term monthly streamflow periods estimated by the Soil and Water Assessment Tool (SWAT) hydrological model. After 26 repetitions, 9 SWAT input parameters reflects the sensitivity on the streamflow simulation. For Cameron Highlands river basin, the Runoff Curve Number (CN2. mgt), Base flow recession constant (ALPHA_BF. gw) and Groundwater delay time (GW_DELAY. gw) is found to be the most sensitive input parameters. CN2. mgt is established to be the most sensitive to surface respond parameter and followed by ALPHA_BF. gw and GW_DELAY. gw for subsurface response. Therefore, the next step needed is a long-term continuous hydrological modeling which is to be conducted into the SWAT 2012 model with all the selected sensitive SWAT input parameters in order to finalize the objective functions for the watershed
Year: 2017