TY - JOUR ID - 63263 TI - Event-Oriented Runoff Estimation in Mountainous Basin by GSSHA Physically- Distributed Model JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Sharifi, Ali AU - Salarijazi, Meysam AU - Ghorbani, Khalil AD - MSc Student of Water Resources Engineering, Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources AD - Assistant Prof. Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources AD - Associate Prof. Water Engineering Department, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Sciences and Natural Resources Y1 - 2017 PY - 2017 VL - 4 IS - 4 SP - 1215 EP - 1225 KW - Physically-Distributed KW - Rainfall-runoff KW - GSSHA KW - Ziarat DO - 10.22059/ije.2017.236526.656 N2 - The physically-distributed models lead to more reliable results for surface runoff process simulation in basins with complicated physical condition. In this study, rainfall-runoff modeling in Ziarat mountainous basin is investigated using GSSHA physically-distributed model. Digital elevation model, soil type and land use maps prepared and three and two events are considered for calibration and validation. Fitness precision criteria including Nash-Sutcliffe (NSE), Percentage Error in Volume (PEV), Percentage Error in Time to Peak (PETP) and Percentage Error in Peak (PEP) beside visual criterion used for results analysis. Median of PEV, PEP and PETP for calibration and validation steps were (25.3 and 61.5), (5.5 and 11.8) and (4.8 and 0) that indicated underestimation for volume, suitable precision for peak and excellent precision for time to peak estimations. Also, evaluation of simulated hydrographs using visual and NSE criteria confirmed model precision for hydrograph simulation. The results show although soil initial moisture selected based on initial estimation in validation step but the overall precision of model in runoff characteristics estimations is suitable. UR - https://ije.ut.ac.ir/article_63263.html L1 - https://ije.ut.ac.ir/article_63263_6993757b5c2504a114a13517fc9e3eca.pdf ER -