z-logo
open-access-imgOpen Access
Interdependence between the Water Levels of Kotte Canal and Kelani River using Copulas
Author(s) -
K. Perera,
P. L. N. S. Sumathipala,
P. N. Wikramanayake
Publication year - 2015
Publication title -
sri lankan journal of applied statistics
Language(s) - English
Resource type - Journals
ISSN - 2424-6271
DOI - 10.4038/sljastats.v16i2.7828
Subject(s) - scope (computer science) , publication , open access journal , natural science , statistics , library science , scopus , sociology , social science , geography , political science , mathematics , computer science , medline , law , programming language , physics , astronomy
The interdependence of water levels of the Colombo canal system and the Kelani River is important for flood management in the city of Colombo. This study aims at deriving the interdependence between the water levels of the Kotte canal and the Kelani River using the Copula method. The advantage of the Copula method is that it is not necessary to assume that the water levels are independent or normally distributed or have the same of marginal distribution. Since there was a dependency between the two water levels (Kendall’s rank correlation (τ) p-value Sri Lankan Journal of Applied Statistics 2015;16(2): 135-146

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom