Modelling of Enugu Monthly Rainfall Using Box and Jenkins Methodology.

dc.contributor.authorAdejumo, A. O.
dc.contributor.authorOloyede, T. O.
dc.contributor.authorAdejumo, O. A.
dc.contributor.authorOguntunde, P. E.
dc.contributor.authorOdetunmibi, O. A.
dc.contributor.authorIkoba, N. A.
dc.contributor.authorJob, O.
dc.date.accessioned2018-12-07T12:53:05Z
dc.date.available2018-12-07T12:53:05Z
dc.date.issued2018-06-01
dc.description.abstractThe paper examined the rainfall distribution of Enugu state in Nigeria. Box-Jenkins methodology was used to build ARIMA model to analyze data and forecast for the period of 15 years, from January, 2002 to December, 2016 and to predict for the future. We observed that the average annual rainfall of Enugu state ranges from 124mm to 179mm. The irregularity in annual rainfall of Enugu State one and half decades ago is a bit large, indicating that climate stability is high in the state. Different time series models were diagnostically checked, and tested for Enugu state and at last an SARIMA (0, 0, 0)(1, 0, 1)12 model is chosen as the proposed best model. The proposed model was used to forecast two years’ monthly rainfall value for the state. The results indicated that relatively there is a tendency of increasing in trend of future rainfall values in the state.en_US
dc.identifier.issn2065-7471
dc.identifier.urihttp://hdl.handle.net/123456789/1393
dc.language.isoenen_US
dc.publisherTibiscus University of Timişoara, România.en_US
dc.relation.ispartofseriesAnale. Seria Informatică. Journal.;16(1): 156 – 163.
dc.subjectModellingen_US
dc.subjectBox and Jenkinsen_US
dc.subjectARIMAen_US
dc.subjectRainfallen_US
dc.subjectSARIMAen_US
dc.subjectForecastingen_US
dc.subjectEnugu Stateen_US
dc.titleModelling of Enugu Monthly Rainfall Using Box and Jenkins Methodology.en_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Adejumo et al, 2018, Tibiscus University.pdf
Size:
603 KB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections