Time Series Modelling of Monthly Rainfall in Kilinochchi District, Sri Lanka

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dc.contributor.author Kirisanth, S.
dc.contributor.author Varathan, N.
dc.contributor.author Arumairajan, S.
dc.date.accessioned 2019-04-07T07:40:44Z
dc.date.available 2019-04-07T07:40:44Z
dc.date.issued 2019-02
dc.identifier.isbn 9789550481255
dc.identifier.uri http://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/152/114.pdf?sequence=1&isAllowed=y
dc.description.abstract The amount of rainfall received over an area is an important factor in assessing availability of water to meet various demands for agriculture, industry and irrigation. Kilinochchi is one of districts in Sri Lanka and many people in Kilinochchi district are below the poverty line and mainly depend on the agriculture for their daily life. Rainfall is the main source of watering for agriculture in Kilinochchi. Forecasting rainfall in Kilinochchi district plays an important role in the planning and management of agriculture scheme and management of water resource systems. Therefore, it is essential to develop a time series model to analyze the amount of rainfall in Kilinochchi district. The main goal of this study is to find a suitable Auto Regressive Integrated Moving Average (ARIMA) model to the monthly rainfall data of Kilinochchi district. In this study, the monthly rainfall of Kilinochchi district under three different stations such as Iranamadu, Akkarayankulam, Kariyalanagapaduwan is modelled by using Box-Jenkins’ time series approach. The monthly rainfall data under three different stations in Kilinochchi district was obtained from the department of meteorology, Sri Lanka during the period of January, 1986 to December, 2015. Further, three statistical criteria such as Akaike information criteria, Bayesian information criteria, mean squared error were used in order to select best the time series model. Through the modelling, it was found that Seasonal Auto Regressive Integrated Moving Average: SARIMA (0,1,1) (0,1,3)12 is the best fitting model for all three stations in Kilinochchi district. Moreover, the adequacy of the fitted best model has been tested using Ljung- Box chi-squared statistic. The identified best model can be used to forecast the monthly rainfall of Kilinochchi district in near future. en_US
dc.language.iso en en_US
dc.publisher Uva Wellassa University of Sri Lanka en_US
dc.subject Agriculture en_US
dc.subject Entrepreneurial Agriculture en_US
dc.title Time Series Modelling of Monthly Rainfall in Kilinochchi District, Sri Lanka en_US
dc.title.alternative International Research Conference 2019 en_US
dc.type Other en_US


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