Single-site rainfall time sequence simulation method based on Markov chain and rainfall event

The invention discloses a single-site rainfall time sequence simulation method based on a Markov chain and a rainfall event. The method comprises the following steps: combining a Markov chain with rainfall event simulation for the first time; and expanding the rainfall event simulation into random s...

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Bibliographic Details
Main Authors ZHANG SILONG, WANG XIAOYAN, LIU LEI, GAO CHAO, TANG XIONGPENG
Format Patent
LanguageChinese
English
Published 23.11.2021
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention discloses a single-site rainfall time sequence simulation method based on a Markov chain and a rainfall event. The method comprises the following steps: combining a Markov chain with rainfall event simulation for the first time; and expanding the rainfall event simulation into random simulation of a rainfall time sequence. The characteristics of rainfall in time sequence and event can be kept at the same time, and the precision of rainfall simulation is improved; and the limitation that the output of a rainfall event simulation method can only be applied to a hydrological model based on event sequence input is overcome. According to the method, rainfall data of any number of times and any length can be generated, and the method can be conveniently combined with a common hydrological model to carry out hydrological simulation and carry out accurate flood and drought risk assessment. 本发明公开了一种基于马尔科夫链和降雨事件的单站点降雨时间序列模拟方法，该方法首次将马尔科夫链与降雨事件模拟相结合，将降雨事件模拟拓展为降雨时间序列的随机模拟，不仅可以同时保留降雨在时间序列和事件上的特性，提高降雨模拟的精度，而且克
Bibliography:Application Number: CN202110829966