2020
DOI: 10.1155/2020/7146593
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Statistical, Graphical, and Wavelet Transform Analyses for Rainfall Trends and Patterns in Badulu Oya Catchment, Sri Lanka

Abstract: Climate change has adversely influenced many activities. It has increased the intensified precipitation events in some places and decreased the precipitation in some other places. In addition, some research studies revealed that the climate change has moved seasons in the temporal scale. Therefore, the changes can be seen in both spatial and temporal scales. Thus, analyzing climate change in the localized environments is highly essential. Rainfall trend analysis in a localized catchment can improve many aspect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 76 publications
0
7
0
Order By: Relevance
“…Torrence and Compo (1998) pointed out that the choice of a wavelet basis function was crucial, but it depended on the type of analysed data. The Morlet wavelet function is a complex sine‐shaped Gaussian function, mostly employed with climate data, for example, by Yi and Shu (2012) and Ruwangika et al (2020). We adopt it to derive the continuous wavelet transform of intensity and frequency indices' time series.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Torrence and Compo (1998) pointed out that the choice of a wavelet basis function was crucial, but it depended on the type of analysed data. The Morlet wavelet function is a complex sine‐shaped Gaussian function, mostly employed with climate data, for example, by Yi and Shu (2012) and Ruwangika et al (2020). We adopt it to derive the continuous wavelet transform of intensity and frequency indices' time series.…”
Section: Methodsmentioning
confidence: 99%
“…The Morlet wavelet function is a complex sine-shaped Gaussian function, mostly employed with climate data, for example, by Yi and Shu (2012) and Ruwangika et al (2020). We adopt it to derive the continuous wavelet transform of intensity and frequency indices' time series.…”
Section: Wavelet Coherencementioning
confidence: 99%
“…No specific assumption is required for data distribution to apply the MK test (Kundzewicz and Robson 2000). The test has been widely used to detect the strength of trends in many regions of the world (Dumitrescu et al 2015, Rathnayake 2019, Ruwangika et al 2020, Perera and Rathnayake 2019. Equations 1 -4 present the mathematical formulations for the Mann-Kendall test.…”
Section: Mann-kendall Testmentioning
confidence: 99%
“…Moreover, observed extreme flow is considerably vital in water resource management and climate and anthropogenic activity assessments. Numerous hydroclimatic metrics are available in literature to detect trends in average, annual, monthly, seasonal, extreme (high and low) resolutions for better hydroclimatic insight in detail (Bekele et al 2017;Gudmundsson et al 2018;Ruwangika et al 2020). Peakover-threshold approaches is also alternative to annual maximum flow often associated with flood frequency analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Parametric and non-parametric tests have been used to identify the presence of significant trends in hydroclimatological studies (Partal and Kahya 2006;Wilson et al 2010;Jaiswal et al 2015;Meresa et al 2017;Drissia et al 2019). Other recent trend analysis tools are based on time frequency, such as wavelet transformation (continuous and discrete wavelet transform), but the complex analyses (Ruwangika et al 2020).…”
Section: Introductionmentioning
confidence: 99%