Document Type : Research Paper
Authors
1 PhD Candidate in Water Resources Engineering, Department of Water Science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Associate Professor, Soil Conservation and WatershedManagement Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
3 Professor, Department of Water science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
4 Associate Professor, Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
5 Assistant Professor, Department of Water science and Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract
Soil and Water Assessment Tool (SWAT) is a continuous and semi-distributive model which can simulate the hydrological processes in basins on daily, monthly and yearly time scales through a wide range of information such as physical data of basins (soil, land use, slope) as well as weather information such as precipitation, temperature, wind, relative humidity, solar radiation and connectivity to geographic information systems (GIS). In this research, the monthly runoff of Ravansar Sanjabi basin (1260 ), in Kermanshah Province of Iran is simulated through SWAT hydrological model. Runoff simulation is done in a period of nine years from 2002 to 2010, where the first seven years of this period (2002-2008) is selected as a calibration period by using 14 various parameters and the two end years (2009 to 2010) as a validation period of model. The results of simulations during the calibration and validation periods are evaluated through two statistical indices namely Nash–Sutcliffe coefficient (NSE) and coefficient of determination (R2). According to compared simulated and observed monthly flow hydrographs and also calculated statistical coefficients, the SWAT model has acceptable results in simulating monthly runoff during both calibration and validation periods, so that the NSE and R2 coefficients are calculated equal to 0.7, 0.8 and 0.81, 0.9 for calibration and validation periods, respectively.
Keywords
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