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A Comparison of Small Area Estimation and Kriging in Estimating Rainfall in Sri Lanka

  • Kalum Udagepola
  • Mithila Perera
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 745)

Abstract

Accurate prediction of rainfall is crucial for a country like Sri Lanka as its economy is mainly based on agriculture. Many statistical techniques have been used in the past to estimate rainfall. The main purpose of this study is to evaluate and compare the accuracy of two techniques in estimating seasonal rainfall in Sri Lanka. The two techniques that were compared are namely; Small Area Estimation and Kriging. The four rainfall seasons considered is First Inter Monsoon, South West Monsoon, Second Inter Monsoon and North East Monsoon. Monthly rainfall data collected at 75 rain gauges during the year 2011 were used in this study. Data is withheld from 14 stations were then used to compare the predictions of seasonal rainfall using both techniques. Root Mean Squared Error, Correlation coefficient and scatter plots of observed and fitted seasonal rainfall values were used to compare the two techniques. The Comparison revealed that Kriging provided better predictions for rainfall in First Inter Monsoon and South West Monsoon. Predictions of both techniques were not much successful in estimating rainfall in Second Inter Monsoon. Small area estimation yielded more accurate predictions for rainfall in North East Monsoon.

Keywords

Small Area Estimation Kriging First Inter Monsoon South West Monsoon Second Inter Monsoon North East Monsoon Root Mean Squared Error Correlation coefficient 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Scientific Research Development Institute of Technology AustraliaLoganleaAustralia
  2. 2.KPSoftRatmalanaSri Lanka

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