Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4809
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dc.contributor.authorSellathurai, T.
dc.contributor.authorSivananthawerl, T.
dc.contributor.authorSivakumar, S.S.
dc.contributor.authorMikunthan, T.
dc.contributor.authorKarunainathan, T.
dc.date.accessioned2022-01-03T06:40:21Z
dc.date.accessioned2022-06-24T08:41:55Z-
dc.date.available2022-01-03T06:40:21Z
dc.date.available2022-06-24T08:41:55Z-
dc.date.issued2021
dc.identifier.citationSellathurai, T., Sivananthawerl, T., Sivakumar, S.S., Mikunthan T. and Karunainathan. T. 2021. Time Series Analysis of Rainfall using ARIMA and SAMA Circular Model: Study from Vadamaradchi, Jaffna, Sri Lanka. 33rd Annual congress Postgraduate Institute of Agriculture, Peradeniya.Pp -51en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/4809-
dc.description.abstractThe time series analysis was performed with Seasonal Autoregressive Integrated Moving Average (SARIMA) and SAMA circular model (SCM) for the rainfall of Ampan, Karaveddi and Puloly regions of Jaffna to understand the behaviour of rainfall and forecast it with a suitable model. Minitab 17 software was used to run the model with the available monthly data from 2013 to 2019. Time series plots were used for pattern recognition, autocorrelation function (ACF) and Lijung-Box Q statistics (LBQ) were used to find the independence of the residuals. The probability plot was used to test the normality of residuals. The model with the lowest predicting errors was selected to forecast the future values. The monthly rainfall fluctuates around the mean of 41.6, 71.9 and 35.3 mm for Ampan, Karaveddi and Puloly respectively. The models SARIMA (0,0,0) (0,1,1)6, SARIMA (1,2,1) (0,1,1)6, and SARIMA (1,1,0) (0,1,1)6 were found as most appropriate for Ampan, Karaveddi and Puloly respectively and Yt = Yt−1 − 0.18 + 23.5 sin 2ωt + 28.5 cos 1.5ωt 20.10 cos 2ωt 26.47 cos 5.5ωt, Yt = Yt−1 − 2Yt−2 − 5.9+ 73.5 sin 4.5ωt and Yt = Yt−1 − 2Yt−2 + 0.69 + 23.17 cos 5.5ωt were found as most appropriate SCM for Ampan, Karaveddi and Puloly respectively. Among these models, SCM predicts reliable data with minimum error. It finds the seasonal and cyclic pattern of the rainfall. A five-month seasonal and cyclic behaviour was noted with 13 - months interval in Ampan. Similarly, 10 - months seasonal in Karaveddi and only 13 - months interval cyclic pattern in Puloly. Anderson Darling (AD) value for Ampan is 0.40, Karaveddi is 0.63, and Puloly is 0.68. The estimated rainfall shows a decreasing trend in Ampan 0.2057 mm/year and an increasing trend in Puloly 1.15 mm/year and Karaveddi 0.61 mm/year. The decreasing trend of monthly rainfall in Ampan and decreasing in the other two regions is an alarming sign to the agriculture sector.en_US
dc.language.isoenen_US
dc.publisherPostgraduate Institute of Agriculture, University of Peradeniyaen_US
dc.subjectRainfallen_US
dc.subjectSARIMAen_US
dc.subjectSCMen_US
dc.subjectTime series analysisen_US
dc.titleTime Series Analysis of Rainfall Using ARIMA and SAMA Circular Model: Study from Vadamarachchi, Jaffna, Sri Lankaen_US
dc.typeArticleen_US
Appears in Collections:Agricultural Engineering

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