A Review on Flood Modelling and Rainfall-Runoff Relationships

被引：0

作者：

Jaafar, Khairah ^{[1
]}

Ismail, Nurlaila ^{[1
]}

Tajjudin, Mazidah ^{[1
]}

Adnan, Ramli ^{[1
]}

Rahiman, Mohd Hezri Fazalul ^{[1
]}

机构：

[1] UiTM Shah Alam, Fac Elect Engn, Selangor, Malaysia

来源：

2015 IEEE 6TH CONTROL AND SYSTEM GRADUATE RESEARCH COLLOQUIUM (ICSGRC) | 2015年

关键词：

Modelling Flood; Artificial Neural Networks (ANN); Rainfall-Runoff Relationships and Flood Prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：158 / 162

页数：5

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