Regional model presentation for peak discharge estimation in ungauged drainage basin using geomorphologic, Synyder, SCS and triangular models (case study: Kan drainage basin)
محل انتشار: مجله علوم زیستی خاورمیانه، دوره: 10، شماره: 1
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 122
فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_CJES-10-1_014
تاریخ نمایه سازی: 21 خرداد 1403
چکیده مقاله:
With regard to the importance of instantaneous peak discharge estimation for watershed management study, and due to the lack of and unqualified climatic and hydrologic data for estimation and measurement in countries such as Iran, researchers were obliged to establish a link between constant parameters (geomorphologic) and variables (hydrologic) to present models with minimum dependence on climatic and hydrologic data in hydrologic estimations. This research has made an effort to use synthetic unit hydrographs at the drainage basin of Kan (Soleghan River) and to compare these results with recorded peak discharge at the watershed outlet, in order to derive the best model. Comparison of study models using relative mean error (RME) and root of mean square error (RMSE) in the study drainage basin located in central Alborz watershed showed that RME for the Geomorphologic model was ۱۷.۹۹ and RMSE was ۱۵.۴۹, for Snyder RME was ۵۹.۶۶, and RMSE was ۲۹.۸۳, for SCS RME was ۱۶۲.۶۳ and RMSE was ۷۶.۰۰۲ and finally triangular RME was ۱۶۵.۸۲ and RMSE was ۷۷.۴۴. Therefore the best estimation belonged to the Geomorphologic model followed by the Snyder, SCS and Triangular models. Owing to the lack of recorded instantaneous peak discharges in the hydrometric station of the Kan drainage basin (۱۱ events) at Kan-Soleghan, we are not able to derive an instantaneous peak discharge model. Hence by using factors in each of the studied models, other effective factors and ۲۸۳ recorded events of daily peak discharges, the daily peak discharge model can be derived.
کلیدواژه ها:
نویسندگان
A. A Mohammadi
Dept. of Watershed Management, Science and Research Branch , Islamic Azad university, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :