سال انتشار: ۱۳۹۱

محل انتشار: نهمین کنگره بین المللی مهندسی عمران

تعداد صفحات: ۸

نویسنده(ها):

Milad Jajarmizadeh – Department of Hydraulic and Hydrology in Universiti Teknologi Malaysia
Sobri Bin Harun – Department of Hydraulic and Hydrology in Universiti Teknologi Malaysia
Marjan Nikudel – Isfahan University of Technology

چکیده:

Prediction of surface runoff by semi-distributed models is a challenging topic for most hydrologists because of water resource management and developing of models in accuracy of performing. These days, arid and semi-arid areas are being one of the critical regions for developing in contrary scarcity water; meanwhile, most of the arid and semi-arid areas are potential for preserving surface waters. Therefore, modeling of these regions can be useful for both, evaluation the capability the models in arid to semi-arid regions and developing them due to practical application for water resource management and future planning of watersheds management. In this study, SWAT model is applied for modeling of daily flow in Roodan watershed, Iran. The climate of Roodan is arid to semi-arid and agriculture and gardening are the main activities during the past 30 years. The area of Roodan is 10570km2 andEsteghlal (Minab) Dam is located after the outlet of the Roodan watershed to collection of the stream flow from Roodan basin. For modeling of Roodan is prepared required data digital elevation map, Land use map from pasture map, satellite image and developing statistic agriculture field. Then soil layer is prepared by FAO codes, and then it is evaluated by considering the geology map and available sample soil in Roodan. Finally, meteorological data are collected near 21 years from 1988. In this research three scenarios is defined for land use map due to continuously update of this layer during the 21 years (1988- 1993,1994,2002,2003-2008) in modeling stream flow. Then, SUFI-2 Algorithm is performed for calibration and uncertainty analysis. Results showed a promising modeling in climate arid to semi-arid regions of southern part of Iran (Hormozgan Province). Strength of calibration by P and R factors were for calibration and validation periods 50%, 0.16 (calibration) and 72%, 0.14 (validation) respectively. Generally model was performed in a acceptable values of R2 (coefficient correlation) and NS( Nash- Sutcliff). In this study has been tried to achieve a logical range with best solution due to modeling of Roodan by SWAT for R2 and NS, which they have been obtained in consistent values in last iteration. Values of R2 and NS are resulted similarly 0.72 for calibration and 0.60 for validation period