Time series model of water level fluctuation in Mahakanadarawa tank

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dc.contributor.advisorNeluwala P
dc.contributor.authorSaranga AGS
dc.date.accept2022
dc.date.accessioned2022
dc.date.available2022
dc.date.issued2022
dc.description.abstractThis research concludes an attempt to forecast water level changes using the best-fitted model of Mahakanadarawa tank by using Box and Jenkins methodology of univariate Auto-Regressive Integrated Moving Average (ARIMA) model. Data from 2010 to 2019 was analyzed and predicted values for the next 12 months were calculated. SARIMA (1, 1, 1) (1, 1, 1) 12 was identified as the tentative model, and Finally, the best-fitting models (0, 1, 1) (0, 1, 1)12) were discovered of water level fluctuations of Mahakanadarawa tank. Forecasted values were used to decide on the supply of water. Two major purposes were considered. Drinking water requirements and water for cultivation were focused.en_US
dc.identifier.accnoTH4875en_US
dc.identifier.citationSaranga, A.G.S. (2022). Time series model of water level fluctuation in Mahakanadarawa tank [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/22498
dc.identifier.degreeMSc in Financial Mathematicsen_US
dc.identifier.departmentDepartment of Mathematicsen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/22498
dc.language.isoenen_US
dc.subjectARIMAen_US
dc.subjectFORECASTINGen_US
dc.subjectWATER LEVELen_US
dc.subjectMATHEMATICS- Dissertationen_US
dc.subjectFINANCIAL MATHEMATICS - Dissertationen_US
dc.titleTime series model of water level fluctuation in Mahakanadarawa tanken_US
dc.typeThesis-Abstracten_US

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Master of Science in Financial Mathematics