期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：11
页码：15-23
DOI：10.14445/22312803/IJCTT-V68I11P103
出版社：Seventh Sense Research Group
摘要：Pluvial flood is one category of a waterrelated natural hazard that has caused significant damages. However, the accurate detection and prediction of prone areas are considered difficult due to floods' complex and dynamic nature. In many parts of the world, flood prediction is among the few feasible measures to manage floods. This study applied an integrated review to assess the methodological strategies used in detecting and predicting pluvial flood. The identified literature was analyzed on an appraisal tool. According to the research question, a classification scheme followed this, including the model being used, characteristics, advantages, and limitations. Future directions in research and development were identified in tackling the challenges of managing pluvial flood.
