Flood Prediction Using Machine Learning Models: Literature Review

Flood Prediction Using Machine Learning Models: Literature Review

Floods are among the most destructive natural disasters, which are highly complex to model. The research on the advancement of flood prediction models contributed to risk reduction, policy suggestion, minimization of the loss of human life, and reduction of the property damage associated with floods...

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Bibliographic Details
Main Authors: Amir Mosavi, Pinar Ozturk, Kwok-wing Chau
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Water
Subjects:
flood prediction
flood forecasting
hydrologic model
rainfall–runoff, hybrid &amp
ensemble machine learning
artificial neural network
support vector machine
natural hazards &amp
disasters
adaptive neuro-fuzzy inference system (ANFIS)
decision tree
survey
classification and regression trees (CART), data science
big data
artificial intelligence
soft computing
extreme event management
time series prediction
Online Access:https://www.mdpi.com/2073-4441/10/11/1536

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