Precipitation trend analysis using discrete wavelet transform at the Langat River Basin, Selangor, Malaysia

2016 ◽  
Vol 31 (4) ◽  
pp. 853-877 ◽  
Author(s):  
Narges Palizdan ◽  
Yashar Falamarzi ◽  
Yuk Feng Huang ◽  
Teang Shui Lee
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Trend Analysis ◽  
River Basin ◽  
Discrete Wavelet ◽  
Precipitation Trend ◽  
Langat River

Regional precipitation trend analysis at the Langat River Basin, Selangor, Malaysia

2013 ◽  
Vol 117 (3-4) ◽  
pp. 589-606 ◽  
Author(s):  
Narges Palizdan ◽  
Yashar Falamarzi ◽  
Yuk Feng Huang ◽  
Teang Shui Lee ◽  
Abdul Halim Ghazali
Keyword(s):  
Trend Analysis ◽  
River Basin ◽  
Precipitation Trend ◽  
Langat River

scholarly journals Temporal precipitation trend analysis at the Langat River Basin, Selangor, Malaysia

2015 ◽  
Vol 124 (8) ◽  
pp. 1623-1638 ◽  
Author(s):  
Narges Palizdan ◽  
Yashar Falamarzi ◽  
Yuk Feng Huang ◽  
Teang Shui Lee ◽  
Abdul Halim Ghazali
Keyword(s):  
Trend Analysis ◽  
River Basin ◽  
Precipitation Trend ◽  
Langat River

scholarly journals Long-term trend analysis of rainfall using hybrid Discrete Wavelet Transform (DWT) based Mann-Kendall tests in central Gujarat region, India

MAUSAM ◽  
2021 ◽  
Vol 71 (2) ◽  
pp. 209-224
Author(s):  
RAJANI NIRAV V ◽  
TIWARI MUKESH K ◽  
CHINCHORKAR S S
Keyword(s):  
Time Series ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Trend Analysis ◽  
Time Scales ◽  
Series Data ◽  
Trend Test ◽  
Discrete Wavelet ◽  
Rainfall Time Series

Trend analysis has become one of the most important issues in hydro-meteorological variables study due to climate change and the focus given to it in the recent past from the scientific community. In this study, long-term trends of rainfall are analyzed in eight stations located in semi-arid central Gujarat region, India by considering time series data of 116 years (1901-2016). Discrete wavelet transform (DWT) as a dyadic arrangement of continuous wavelet transformation combined with the widely applied and acknowledged Mann-Kendall (MK) trend analysis method were applied for analysis of trend and dominant periodicities in rainfall time series at monthly, annual and monsoonal time scales. Initially, rainfall time series applied in this study were decomposed using DWT to generate sub-time series at high and low frequencies, before applying the MK trend test. Further, the Sequential Mann-Kendall (SQMK) test was also applied to find out the trend changing points. The result showed that at the monthly annual and monsoon time scales, the trends in rainfall were significantly decreasing in most of the station. The 4-month and 8-month components were found as dominant at the monthly time series and the 2-year and 4-year component were found as dominant at the monsoon time series, whereas the 2-year components were observed as dominant in the annual time scale.

Improving Space Localization Properties of the Discrete Wavelet Transform

Informatica ◽  
2013 ◽  
Vol 24 (4) ◽  
pp. 657-675
Author(s):  
Jonas Valantinas ◽  
Deividas Kančelkis ◽  
Rokas Valantinas ◽  
Gintarė Viščiūtė
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
Space Localization
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