Overbank Flow Estimation using ANFIS and Genetic Programming
The estimation of discharge capacity in river channels is complicated once the river is flowing out-of-bank due to complex 3D turbulent structure and interactions at the interface region between main channel and flood plain. These interactions can significantly reduce the discharge capacity of the river or channel. When flooding, traditional flow equations and methods in estimating the discharges are found to be not very accurate and may lead to over or under estimation of discharge capacity. Therefore, this study is carried out to estimate the discharge for overbank flow in compound channels and natural rivers using traditional methods, empirical method and soft computing tools. It is found that Genetic Programming (GP) is the most accurate among all the methods being tested with a smallest average error of 5. 76%, 5. 29% and 1. 02% in overbank flow estimation for River Senggi, River Senggai and River Main, respectively.
Lai SaiHin DarrienYauSeng
River Engineering and Urban Drainage Research Centre (REDAC),Engineering Campus, Universiti Sains Malaysia (L7SM),14300, NibongTebal, Pulau Penang, Malaysia
国际会议
南京
英文
159-166
2010-09-13（万方平台首次上网日期，不代表论文的发表时间）