English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The Mahaweli development programme contributes to 13% of the national hydroelectric power production and also the major water supply for Dry Zone of Sri Lanka. When considering Mahaweli cascade, the Kotmale reservoir affords a major contribution. The water level of the reservoir directly depends on rainfall pattern of the catchment area of the reservoir. Early prediction of rainfall pattern helps for efficient water management by predicting the water level of the reservoir. The time series analysis is a main statistical tool for predicting metrological phenomena. Therefore, in this study, the rainfall pattern of Kotmale station was modeled and forecasted using time series analysis with R software. The monthly rainfall data from 2003 to 2017 in the Kotmale station was considered. The study revealed that, SARIMA (0, 1, 1) (2, 1, 2)12 as the best fitted model for forecasting the rainfall pattern at the Kotmale station. Using the best fitted model, the rainfall pattern in the Kotmale station was forecasted.

Modeling and forecasting rainfall in catchment area of Kotmale reservoir, Sri Lanka