Biblio

Fitting Theoretical Distributions to Rainfall Data for the Eastern Cape Drought Risk Assessment

TitleFitting Theoretical Distributions to Rainfall Data for the Eastern Cape Drought Risk Assessment
Publication TypeConference Paper
Year of Publication2014
AuthorsSakulski D, Jordaan A, Lukić T
Conference NameDailyMeteo.org/2014
Date Published06/2014
PublisherFaculty of Civil Engineering, University of Belgrade
Conference LocationBelgrade
Abstract

Dry spells of varying severities are regular occurrences in South Africa with a climate that varies from sub-tropical in the eastern part to semi-arid and arid in the western part with a mean and highly variable precipitation. To have a better understanding of dry spells’ spatial and temporal characteristics it is necessary, together with rainfall amount, to have information about spatial and temporal distribution of number of rainy days. Several distributions were qualified for the analysis of monthly total of rainy days for every catchment. Rice, Log-Logistic, Singh Maddala, Log-Normal, Gamma, Extreme Value Frechet, Rayleigh, and Pareto probability distributions were applied to fit a rainfall data for spring, summer, autumn and winter seasons, for the selected Eastern Cape catchments. Goodness-of-the-fit selection was done based on the Anderson-Darling test. Rainfall data source was the Water Research Commission’s WR2000, for the period January 1950 – December 2000. This paper is part of the Water Research Commission Project "Vulnerability, adaptation and coping to drought: The case of the commercial and subsistence rainfed farmers in the Eastern Cape".

Event Calendar

S M T W T F S
 
 
 
 
1
 
2
 
3
 
4
 
5
 
6
 
7
 
8
 
9
 
10
 
11
 
12
 
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
 
22
 
23
 
24
 
25
 
26
 
27
 
28
 
29
 
30
 
 

Meteo package

Recent comments

No comments available.