Comparative study of different wavelets for hydrologic forecasting

Rathinasamy, Maheswaran; Khosa, Rakesh

doi:10.1016/j.cageo.2011.12.015

Cited by 194 publications

(73 citation statements)

References 23 publications

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“…Wavelet analysis has a number of advantages over fast Fourier transform (FFT) (Maheswaran et al, 2012;Wang, 2012) in terms of the analysis of non-stationary data series in which the amplitudes and phases of the harmonic constituents may be changing rapidly in time or space. Where an FFT of the non-stationary time series would smear out any detailed information on the changing processes, wavelet analysis attempts to track the evolution of the signal characteristics through the dataset.…”

Section: Methodsmentioning

confidence: 99%

Multi-scale variability of water discharge and sediment load into the Bohai Sea from 1950 to 2011

Ren

Cui

et al. 2014

J. Geogr. Sci.

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This paper examines the changes in the time series of water discharge and sediment load of the Yellow River into the Bohai Sea. To determine the characteristics of abrupt changes and multi-scale periods of water discharge and sediment load, data from Lijin station were analyzed, and the resonance periods were then calculated. The Mann-Kendall test, order clustering, power-spectrum, and wavelet analysis were used to observe water discharge and sediment load into the sea over the last 62 years. The most significant abrupt change in water discharge into the sea occurred in 1985, and an abrupt change in sediment load happened in the same year. Significant decreases of 64.6% and 73.8% were observed in water discharge and sediment load, respectively, before 1985. More significant abrupt changes in water discharge and sediment load were observed in 1968 and 1996. The characteristics of water discharge and sediment load into the Bohai Sea show periodic oscillation at inter-annual and decadal scales. The main periods of water discharge are 9.14 years and 3.05 years, whereas the main periods of sediment load are 10.67 years, 4.27 years, and 2.78 years. The significant resonance periods between water discharge and sediment load are observed at the following temporal scales: 2.86 years, 4.44 years, and 13.33 years. Water discharge and sediment load started to decrease after 1970 and has decreased significantly since 1985 for several reasons. Firstly, the precipitation of the Yellow River drainage area has reduced since 1970. Secondly, large-scale human activities, such as the building of reservoirs and floodgates, have increased. Thirdly, water and soil conservation have taken effect since 1985.

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Section: Methodsmentioning

confidence: 99%

Multi-scale variability of water discharge and sediment load into the Bohai Sea from 1950 to 2011

Ren

Cui

et al. 2014

J. Geogr. Sci.

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“…These suggestions are mainly qualitative and empirical, and cannot be easily implemented in practice. Besides, many other studies tried to find out one or some suitable wavelets for wavelet modeling through experiments (Nourani et al 2011;Maheswaran and Khosa 2012;Singh 2011;Shoaib et al 2014). However, the universality and usability of these selected wavelets are limited by a lack of evidence.…”

Section: Choice Of Mother Waveletmentioning

confidence: 99%

Wavelet-Based Hydrological Time Series Forecasting

et al. 2016

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These days wavelet analysis is becoming popular for hydrological time series simulation and forecasting. There are, however, a set of key issues influencing the wavelet-aided data preprocessing and modeling practice that need further discussion. This article discusses four key issues related to wavelet analysis: discrepant use of continuous and discrete wavelet methods, choice of mother wavelet, choice of temporal scale, and uncertainty evaluation in wavelet-aided forecasting. The article concludes with a personal reflection on solving the four issues for improving and supplementing relevant wavelet studies, especially wavelet-based artificial intelligence modeling.

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“…Wavelet analysis has found many uses in hydrology, because it provides an effective approach for hydrologic time series analysis by revealing characteristics under multi-temporal scales. This means that wavelet analysis demonstrates the scale contents of a signal and its variability in time [35][36][37][38]. Here, wavelet analysis was employed to investigate the variations in the dominant rainfall modes/signals with time in the Huangfuchuan watershed.…”

Section: Introductionmentioning

confidence: 99%

Rainfall Variability in the Huangfuchuang Watershed and Its Relationship with ENSO

Baddoo

Guan

Zhang

et al. 2015

Water

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Abstract:The impact of the El Niño-Southern Oscillation (ENSO) phenomenon within the Huangfuchuan watershed, one of the major first-order sub-basins in the middle region of the Yellow River, has not clearly been established. Consequently, the co-varying relationships between rainfall and El Niño/La Niña spanning the period 1954 to 2010 are investigated. Trends and step changes in annual rainfall are investigated with the Mann-Kendall and the distribution free cumulative sum (CUSUM) tests. Wavelet transforms are employed to perform spectral analysis of temporal variations in rainfall rates within the watershed. Cross wavelet and wavelet coherence transforms are used to study localized co-varying relationships between rainfall and ENSO index. Results from statistical tests indicate that rainfall in the Huangfuchuan watershed is declining, although not significantly. In addition, wavelet coherency and cross wavelet analysis, and comparison of the extracted dominant annual rainfall and 2-7 year ENSO signals demonstrate that ENSO events impact Huangfuchuan rainfall with El Niño corresponding to rainfall decline and La Niña to rainfall increment with a semiannual to annual lag. OPEN ACCESSWater 2015, 7 3244

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Comparative study of different wavelets for hydrologic forecasting

Cited by 194 publications

References 23 publications

Multi-scale variability of water discharge and sediment load into the Bohai Sea from 1950 to 2011

Multi-scale variability of water discharge and sediment load into the Bohai Sea from 1950 to 2011

Wavelet-Based Hydrological Time Series Forecasting

Rainfall Variability in the Huangfuchuang Watershed and Its Relationship with ENSO

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