Abstract
This paper investigates the ability of a multiple linear regression (MLR) model to improve the accuracy for the estimation of flood quantiles in ungauged sites. To assess the effectiveness of this model, 70 catchments in the province of Peninsular Malaysia have been used as case studies. The performance of the MLR model with Hierarchical Cluster Analysis (HCA) is compared with the MLR models using various statistics measures (MSE, RMSE, MAE, and MAPE). The gauges that are tested on represent ungauged sites. The results of the comparison indicate that the MLR with HCA model is more accurate and perform better than MLR.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
