Random Forest Model for Sediment Deposition Prediction in Sewer Pipes

سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 188

فایل این مقاله در 10 صفحه با فرمت PDF و WORD قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

EISTC12_029

تاریخ نمایه سازی: 25 تیر 1401

چکیده مقاله:

Experimental studies have been carried out for determination of sediment incipient deposition in open channels. This study is aimed to generalize the incipient deposition models through incorporating a cross-section shape factor into the model. Random Forest (RF) technique is used for the modelling and results are compared with the conventional regression method. Comparison of developed models in this study with those existing in the literature indicates that cross-section specific models provide poor performances on other channels. RF model outperforms its alternatives which can be related to the utilizing shape factor as input of the models. A suggested model can be used as practical tool for sewer design in practice.

نویسندگان

Mir Jafar Sadegh Safari

Department of Civil Engineering, Yaşar University, Izmir, Turkey