Prediction of Percentage Discharge Distribution in Non-Prismatic Compound Channels with Skewed Floodplains

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 135

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

IREC12_042

تاریخ نمایه سازی: 31 اردیبهشت 1401

چکیده مقاله:

In rivers with non-prismatic compound cross-sections, due to the change in cross-section along the channel, the exchange discharge and mass transfer take place between the main channel and floodplains. Therefore, discharge distribution in non-prismatic compound channels is an important issue for river and hydraulic engineers. In this paper, some results of experiments performed in non-prismatic compound channels with skewed and inclined floodplains have been explained. Two skew angles of ۳.۸۱o and ۱۱.۳۱o and three discharges were investigated. The effect of relative depth and relative distance on percentage discharge distribution in each sub-section of the skewed compound channel are presented. The experimental results show that the percentage discharge in each sub-section relies upon the parameters like relative depth, relative distance, skew angle, and floodplain side slope. By using the experimental results, regression models have been developed to estimate the percentage discharge in the main channel and on the floodplains. Investigations show that the regression models presented in this research, in the validation range, can predict the percentage discharge in each sub-section of a skewed compound channel fairy well. So that for the results used in this research, the coefficient of determination (R۲) for predicting discharge in the main channel is ۰.۹۶, on the diverging floodplain is ۰.۹۲, and on the converging floodplain is ۰.۹۱. Also, the mean absolute percentage errors (MAPE) between the calculated and measured value of percentage discharge in the main channel, on the diverging floodplain, and the converging floodplain are equal to ۱.۴۷%, ۱۴.۲۹%, and ۲۱.۷%, respectively.

نویسندگان

Mostafa Dolati Mahtaj

M.Sc. in Water Engineering, Department of Civil Engineering, Bu-Ali Sina University, Hamedan, Iran

Bahram Rezaei

Assistant Professor, Department of Civil Engineering, Bu-Ali Sina University, Hamedan, Iran