WCSE 2019 SPRING ISBN: 978-981-14-1455-8
DOI: 10.18178/wcse.2019.03.034

Flood Prediction System by using Markov Chain

Phyo Pa Pa Tun, Myint Myint Sein

Abstract— This study is tried to predict flood conditions for Mone Dam, Myanmar. The method of this system is based on Markov Chain to know about the flood in the study region. Flooding is one that the most hit disaster among the natural disasters. It extremely affected on environment, people and animals. People cannot elude from strike of flood but they can prepare from hit of the flood by predicting it. This system aims to predict the conditions of flood in Mone area in Myanmar. Markov Chain can be used to predict flood conditions in this system and input data as water level (Reservoir Level (RL)) combining with weather data from dark sky API. This system uses two-state and three-state Markov Chain and the output will be show the conditions of flood according to their facts as non-flood, flood and severe flood.

Index Terms— Markov Chain, flood prediction, weather API, reservoir level, water level, Mone dam

Phyo Pa Pa Tun, Myint Myint Sein
Geographic Information System (GIS Lab), University of Computer Studies, MYANMAR


Cite: Phyo Pa Pa Tun, Myint Myint Sein, "Flood Prediction System by using Markov Chain," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering WCSE_2019_SPRING, pp. 198-202, Yangon, Myanmar, February 27-March 1, 2019.