Title :
A review on flood modelling and rainfall-runoff relationships
Author :
Khairah Jaafar;Nurlaila Ismail;Mazidah Tajjudin;Ramli Adnan;Mohd Hezri Fazalul Rahiman
Author_Institution :
Faculty of Electrical Engineering, UiTM Shah Alam, Selangor, Malaysia
Abstract :
This paper presents a review on flood modeling and rainfall-runoff relationships. It was found many methods have been used by previous researches to solve the problem in flood modeling. The suitable techniques were applied based on flood modeling parameters and watershed intensity. Understanding on the rainfall-runoff relationships is one of the requirement and necessity in hydrometeorology. Thus, the studies carried out previously provide the significant result contributed to flood modeling. Reviews in this study also contain analyses and comparison between advantages and disadvantages of method used. It also reveals that the characteristics of rainfall-runoff data influence the successful of model application in flood prediction.
Keywords :
"Floods","Artificial neural networks","Autoregressive processes","Predictive models","Adaptation models","Data models","Rivers"
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2015 IEEE 6th
DOI :
10.1109/ICSGRC.2015.7412484