Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea

Drought is one of the most destructive natural hazards and results in negative effects on the environment, agriculture, economics, and society. A meteorological drought originates from atmospheric components, while a hydrological drought is influenced by properties of the hydrological cycle and gene...

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Bibliographic Details
Main Authors: Muhammad Nouman Sattar, Muhammad Jehanzaib, Ji Eun Kim, Hyun-Han Kwon, Tae-Woong Kim
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Atmosphere
Subjects:
standardized precipitation index
standardized runoff index
drought classes
propagation
Markov Bayesian Classifier
Online Access:https://www.mdpi.com/2073-4433/11/9/1000

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