|نویسندگان||Tayefeh, N - Zahraie, B - Saghafian, B|
|نشریه||Hydrological Sciences Journal|
|ارائه به نام دانشگاه||Technical and Engineering Department, Science and Research Branch Islamic Azad University|
|نوع مقاله||Full Paper|
|رتبه نشریه||علمی - پژوهشی|
|کشور محل چاپ||ایران|
Several models for simulation of water balance processes in semi-arid mountainous basins were developed by coupling different modules of existing water balance models (WBM). Snow accumulation and snowmelt rate relationships extracted from the McCabe-Markstrom, Guo, Rao-Al Wagdany and WASMOD-M WBMs, originally developed for basins with humid climate, were coupled with the Jazim WBM, primarily developed for arid basins. Karaj Basin, central Iran, with snowy autumn–winter and dry summer periods, was selected to assess model performance. The model parameters were optimized using a genetic algorithm (GA). All coupled models performed better than the non-modified (original) WBMs in the study basin. The coupled Jazim–McCabe-Markstrom model provided the best performance in simulating low and high monthly flows. It estimated the snowmelt runoff values more accurately than other proposed coupled models because the linear relationships used in the snow module of the McCabe-Markstrom model are more compatible with snow variations in the Karaj Basin.