Pluvial Flood Detection And Prediction Methods
  IJCTT-book-cover
 		          
 
© 2020 by IJCTT Journal
Volume-68 Issue-11
Year of Publication : 2020
Authors : Idowu, S.A, Adekunle, Y.A, Ayankoya, F.Y, Oladapo K.A
DOI :  10.14445/22312803/IJCTT-V68I11P103

How to Cite?

Idowu, S.A, Adekunle, Y.A, Ayankoya, F.Y, Oladapo K.A, "Pluvial Flood Detection And Prediction Methods," International Journal of Computer Trends and Technology, vol. 68, no. 11, pp. 15-23, 2020. Crossref, 10.14445/22312803/IJCTT-V68I11P103

Abstract
Pluvial flood is one category of a water-related 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.

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Keywords
Pluvial Flood, Detection, Prediction, CERQual Tool, Classification Scheme