Current River Runoff Distribution in the Volga Delta: Analysis and Modeling

IF 1.4 4区地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES

Russian Meteorology and Hydrology Pub Date : 2024-02-15 DOI:10.3103/s106837392312004x

D. A. Migunov, P. N. Terskii, O. V. Gorelits, E. L. Ratkovich

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Abstract

The Volga delta is a large, dynamically changing water object. Its regime is determined by both natural water balance components and artificial streamflow regulation by the Volga hydroelectric power plant. The paper provides a brief overview of the studies of the Volga delta delta water regime and runoff distribution among the Volga delta branches, including those dealing with the runoff parametrization and computation. It also discusses the works on modeling the runoff distribution. The HEC-RAS software has been used to develop a one-dimensional hydrodynamic model of the Volga delta from its top (the Volga/Verkhnelebyazh’e gauging station) to the Astrakhan–Krasnyi Yar gauge line. The model calibration has been performed using in situ measurements in the delta in 2019 and network gauging data, the validation has been carried out based on the network gauging data for 2015, 2017, and 2018. Modeling results have shown that the contribution of runoff flowing to the Buzan branch source has slightly increased as compared to the period of 2001–2012.

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伏尔加河三角洲当前的河流径流分布：分析与建模

摘要伏尔加河三角洲是一个动态变化的大型水域。其水系由自然水量平衡和伏尔加水电站的人工水流调节共同决定。本文简要概述了伏尔加河三角洲水系和伏尔加河三角洲各支流间径流分布的研究，包括有关径流参数化和计算的研究。报告还讨论了建立径流分布模型的工作。使用 HEC-RAS 软件开发了伏尔加河三角洲从其顶端（伏尔加河/上列巴依测站）到阿斯特拉罕-克拉斯尼亚尔测量线的一维水动力模型。利用 2019 年在三角洲的实地测量数据和网络测量数据对模型进行了校准，并根据 2015 年、2017 年和 2018 年的网络测量数据进行了验证。建模结果表明，与 2001-2012 年期间相比，流向 Buzan 支流源的径流量略有增加。

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来源期刊

Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-

CiteScore

1.70

自引率

28.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.