Improved continuous wavelet analysis of variation in the dominant period of hydrological time series

Analyse par ondelettes continues améliorée de la variation de la période principale de séries hydrologiques

Yan-Fang Sang Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing, 210093, ChinaCorrespondence[email protected]; [email protected]

Dong Wang Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing, 210093, China

Ji-Chun Wu Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing, 210093, China

Qing-Ping Zhu China Water International Engineering Consulting Co., Ltd, Beijing, 100053, China

Ling Wang Hydrology Bureau of Yellow River Conservancy Committee of Ministry of Water Resources, Zhengzhou, 450001, China

Improved continuous wavelet analysis of variation in the dominant period of hydrological time series

Analyse par ondelettes continues améliorée de la variation de la période principale de séries hydrologiques

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Improved continuous wavelet analysis of variation in the dominant period of hydrological time series

Analyse par ondelettes continues améliorée de la variation de la période principale de séries hydrologiques

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