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Time series analysis of nyala rainfall using ARIMA method
Joint Authors
Muhammad, Tariq Mahjub
Ibrahim, Abbas Abd Allah
Source
Journal of Science and Technology : in Engineering and Computer Sciences
Issue
Vol. 17, Issue 1 (30 Jun. 2016), pp.5-11, 7 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2016-06-30
Country of Publication
Sudan
No. of Pages
7
Main Subjects
Earth Sciences, Water and Environment
Abstract EN
This paper presents linear stochastic models known as multiplicative seasonal autoregressive integrated moving average model (SARIMA).The model is used to simulate monthly rainfall in Nyala station, Sudan.
For the analysis, monthly rainfall data for the years 1971–2010 were used.
The seasonality observed in Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) plots of monthly rainfall data was removed using first order seasonal differencing prior to the development of the SARIMA model.
Interestingly, the SARIMA (0,0,0)x(0,1,1)12 model developed was found to be most suitable for simulating monthly rainfall over Nyala station.
This model is considered appropriate to forecast the monthly rainfall to assist decision makers to establish priorities for water demand, storage, distribution and disaster management.
American Psychological Association (APA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. 2016. Time series analysis of nyala rainfall using ARIMA method. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 17, no. 1, pp.5-11.
https://search.emarefa.net/detail/BIM-580645
Modern Language Association (MLA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. Time series analysis of nyala rainfall using ARIMA method. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 17, no. 1 ( 2016), pp.5-11.
https://search.emarefa.net/detail/BIM-580645
American Medical Association (AMA)
Muhammad, Tariq Mahjub& Ibrahim, Abbas Abd Allah. Time series analysis of nyala rainfall using ARIMA method. Journal of Science and Technology : in Engineering and Computer Sciences. 2016. Vol. 17, no. 1, pp.5-11.
https://search.emarefa.net/detail/BIM-580645
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 10-11
Record ID
BIM-580645