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Multifractal analysis of streamflow records of the East River basin (Pearl River), China

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  • Zhang, Qiang
  • Xu, Chong-Yu
  • Yu, Zuguo
  • Liu, Chun-Ling
  • Chen, Yongqin David

Abstract

Scaling behaviors of the long daily streamflow series of four hydrological stations (Longchuan (1952–2002), Heyuan (1951–2002), Lingxia (1953–2002) and Boluo (1953–2002)) in the mainstream East River, one of the tributaries of the Pearl River (Zhujiang River) basin, were analyzed using multifractal detrended fluctuation analysis (MF-DFA). The research results indicated that streamflow series of the East River basin are characterized by anti-persistence. MF-DFA technique showed similar scaling properties in the streamflow series of the East River basin on shorter time scales, indicating universal scaling properties over the East River basin. Different intercept values of the fitted lines of log–log curve of Fq(s) versus s implied hydrological regulation of water reservoirs. Based on the numerical results, we suggested that regulation activities by water reservoirs could not impact the scaling properties of the streamflow series. The regulation activities by water reservoir only influenced the fluctuation magnitude. Therefore, we concluded that the streamflow variations were mainly the results of climate changes, and precipitation variations in particular. Strong dependence of generalized Hurst exponent h(q) on q demonstrated multifractal behavior of streamflow series of the East River basin, showing ‘universal’ multifractal behavior of river runoffs. The results of this study may provide valuable information for prediction and assessment of water resources under impacts of climatic changes and human activities in the East River basin.

Suggested Citation

  • Zhang, Qiang & Xu, Chong-Yu & Yu, Zuguo & Liu, Chun-Ling & Chen, Yongqin David, 2009. "Multifractal analysis of streamflow records of the East River basin (Pearl River), China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 927-934.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:6:p:927-934
    DOI: 10.1016/j.physa.2008.11.025
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    Citations

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    Cited by:

    1. Ozger, Mehmet, 2011. "Scaling characteristics of ocean wave height time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 981-989.
    2. Xinjun Tu & Vijay Singh & Xiaohong Chen & Lu Chen & Qiang Zhang & Yong Zhao, 2015. "Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2677-2695, June.
    3. Yu, Zu-Guo & Leung, Yee & Chen, Yongqin David & Zhang, Qiang & Anh, Vo & Zhou, Yu, 2014. "Multifractal analyses of daily rainfall time series in Pearl River basin of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 193-202.
    4. Telesca, Luciano & Lovallo, Michele & Lopez-Moreno, Ignacio & Vicente-Serrano, Sergio, 2012. "Investigation of scaling properties in monthly streamflow and Standardized Streamflow Index (SSI) time series in the Ebro basin (Spain)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1662-1678.
    5. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are crude oil markets multifractal? Evidence from MF-DFA and MF-SSA perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3218-3229.
    6. Huang, Xu & Maçaira, Paula Medina & Hassani, Hossein & Cyrino Oliveira, Fernando Luiz & Dhesi, Gurjeet, 2019. "Hydrological natural inflow and climate variables: Time and frequency causality analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 480-495.
    7. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Jaros{l}aw Kwapie'n & Ludovico Minati & Pawe{l} O'swik{e}cimka & Marek Stanuszek, 2020. "Multiscale characteristics of the emerging global cryptocurrency market," Papers 2010.15403, arXiv.org, revised Mar 2021.
    8. Adarsh Sankaran & Sagar Rohidas Chavan & Mumtaz Ali & Archana Devarajan Sindhu & Drisya Sasi Dharan & Muhammad Ismail Khan, 2021. "Spatiotemporal variability of multifractal properties of fineresolution daily gridded rainfall fields over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 1951-1979, April.

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