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Dams are critical infrastructures built for multiple purposes, such as electricity production, water supply, and irrigation. The appearance of big dams also significantly impacts population life, activity, and the natural ecosystems. River flow modifications are among their most obvious impacts on the environment. This article presents a short review of the results of the methodology used in the analyses and modeling of the water flow of one of the most important rivers in Romania and the changes in the water flow due to building the Siriu Dam. Various techniques, including IHA indicators, multifractal analysis, decomposition models, and Intrinsic Mode Functions (IMFs). Whereas the visualizations display evident oscillations in the river’s monthly average discharge, the long-range dependence analysis indicates the various patterns of the river discharge. The study reveals that most techniques provide a good estimation of the series trend but fail to capture the maxima. All indicate the existence of two different patterns of the analyzed series, indicating 1984 as a change point.

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A Review of the Models for the Series of Water Flow of the Buzău River in Romania

  • 会议论文

  • 发表日期：

    2025年

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  • Alina Bărbulescu,
  • Cristian Ștefan Dumitriu

摘要

Dams are critical infrastructures built for multiple purposes, such as electricity production, water supply, and irrigation. The appearance of big dams also significantly impacts population life, activity, and the natural ecosystems. River flow modifications are among their most obvious impacts on the environment. This article presents a short review of the results of the methodology used in the analyses and modeling of the water flow of one of the most important rivers in Romania and the changes in the water flow due to building the Siriu Dam. Various techniques, including IHA indicators, multifractal analysis, decomposition models, and Intrinsic Mode Functions (IMFs). Whereas the visualizations display evident oscillations in the river’s monthly average discharge, the long-range dependence analysis indicates the various patterns of the river discharge. The study reveals that most techniques provide a good estimation of the series trend but fail to capture the maxima. All indicate the existence of two different patterns of the analyzed series, indicating 1984 as a change point.