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ISSN:2325-6192 (print)
ISSN:2325-6206 (online)
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn

Multiscale Entropy Analysis of Health-related Stream Flow Complexity Under Different Human Impacts

Journal of Environmental Accounting and Management 1(3) (2013) 269--281 | DOI:10.5890/JEAM.2013.08.005

Pan Yang; Xinan Yin; Jian Tang

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 100875, Beijing, China

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Abstract

Multiscale entropy (MSE) can effectively measure the streamflow complexity for river health analysis, but the effects of different kinds of human activities on streamflow complexity are still in con- troversy. In response to this question, this study applies the MSE analysis on river flow of three hydrological stations (Huayuankou, Gaocun and Lijin) in the lower Yellow River and the average pre-cipitation and evaporation of 62 meteorological stations across the Yellow River basin. The results indicate that: 1) water consumption could lead to the decrease of streamflow complexity in lower Yel- low River; 2) construction and operation of reservoirs could in-crease the streamflow complexity downstream, and possible expla-nation is the water storage enhanced long range correlation of res- ervoirs; and 3) the intensity of complexity alteration caused by reservoirs is related to both its capacity and position, larger reservoir in upstream has greater impact on streamflow complexity. This study also suggests MSE to be a useful tool in hydrological study and river ecosystem protection in Yellow River.

Acknowledgments

We thank the Fund for Creative Research Groups of the National Natural Science Foundation of China( No. 51121003), the International Science & Technology Cooperation Program of China (No.2011DFA72420), the National Basic Research Program of China (No. 2010CB951104) and the Fundamental Research Funds for the Central Universities (No. 2012LYB09) for their financial support. We also thank Prof. Peng CK from Harvard Medical School for the advice on multiscale entropy analysis.

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