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Analysis of the impact of the Xiaolangdi Reservoir on the runoff of the Yellow River downstream based on CEEMDAN-multiscale information entropy

Water resources are vital to the development of human society, and mastering the law of runoff changes is the basis for achieving sustainable use of water resources. To study the impact of reservoir construction on the changes of downstream river runoff, this paper decomposes the runoff before and a...

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Published in:Water science and technology 2023-08, Vol.88 (4), p.1058-1073
Main Authors: Zhang, Xianqi, Qiao, Wenbao, Huang, Jiafeng, Shi, Jingwen, Zhang, Minghui
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Language:English
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cited_by cdi_FETCH-LOGICAL-c400t-a6da535655954e588d98fbdb777817b01ae9656d5a510485eb681ad53c7bd3ee3
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creator Zhang, Xianqi
Qiao, Wenbao
Huang, Jiafeng
Shi, Jingwen
Zhang, Minghui
description Water resources are vital to the development of human society, and mastering the law of runoff changes is the basis for achieving sustainable use of water resources. To study the impact of reservoir construction on the changes of downstream river runoff, this paper decomposes the runoff before and after reservoir construction using the CEEMDAN method based on the runoff data from the Huayuankou hydrological station. The fluctuation characteristics of each decomposition series of runoff before and after reservoir construction and the intra-annual variation pattern of runoff are also analyzed by combining multi-time information entropy and coefficient of variation. The results show that after the operation of the Xiaolangdi Reservoir, the annual runoff variation cycle tends to be flat, and the monthly runoff cycle is significantly reduced. After reservoir construction, the entropy values of each IMF and Res of runoff become larger, the complexity and randomness of runoff changes increase, and predictability decreases. Before and after the operation of the Xiaolangdi Reservoir, the coefficient of variation of runoff were 0.28–1 and 0.38–0.83, the distribution of runoff was more uniform, and the percentage of runoff in the flood season was reduced from 51.51 to 39.89%.
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identifier ISSN: 0273-1223
ispartof Water science and technology, 2023-08, Vol.88 (4), p.1058-1073
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subjects Annual runoff
Annual variations
Coefficient of variation
Construction
Dams
Decomposition
Downstream
Entropy
Entropy (Information theory)
Evolution
Hydrologic data
Hydrology
Impact analysis
lower yellow river
Neural networks
Reservoir construction
River discharge
River ecology
River flow
Rivers
Runoff
Runoff cycle
Sustainable use
Time series
Water resources
Water shortages
Water use
xiaolangdi reservoir
title Analysis of the impact of the Xiaolangdi Reservoir on the runoff of the Yellow River downstream based on CEEMDAN-multiscale information entropy
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