Prediction of Continuous Rain Disaster in Henan Province Based on Markov Model
Joint Authors
Zhu, Xiaoxiao
Zhang, Shuhua
Li, Bingjun
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Continuous rain disasters occur frequently, which seriously affect maize yield.
However, the research on predicting continuous rain disasters is very limited.
Taking the maize in Henan Province as an example, the Markov model is used to predict the occurrence of continuous rain in the middle growth and late growth stages (flowering and filling stages) of 13 cities in Henan Province.
The results showed that the maize in Henan Province would suffer from continuous rain disaster in 2020 and 2021.
Finally, combined with the prediction results, policy recommendations for maize growth in Henan Province are proposed to ensure stable and high yield of maize.
American Psychological Association (APA)
Zhu, Xiaoxiao& Zhang, Shuhua& Li, Bingjun. 2020. Prediction of Continuous Rain Disaster in Henan Province Based on Markov Model. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1153409
Modern Language Association (MLA)
Zhu, Xiaoxiao…[et al.]. Prediction of Continuous Rain Disaster in Henan Province Based on Markov Model. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1153409
American Medical Association (AMA)
Zhu, Xiaoxiao& Zhang, Shuhua& Li, Bingjun. Prediction of Continuous Rain Disaster in Henan Province Based on Markov Model. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1153409
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153409