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黄河水沙监测数据分析与模型构建

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对黄河水沙监测数据进行分析研究,使用相关性分析、回归分析、Mann-Kendall非参数检验、奇异谱分析等方法构建数学模型。分析含沙量与各因素的关系、水沙通量变化规律、水沙通量趋势预测、河底高程变化规律预测等问题,并提出水沙通量监测的优化策略。在环境治理、调水调沙、防洪减灾等方面具有一定的现实意义。
Analysis of Water and Sediment Monitoring Data and Model Construction of the Yellow River
By analyzing and studying the water and sediment monitoring data of the Yellow River,the re-search constructed a mathematical model using methods such as correlation analysis,regression analysis,Mann-Kendall non parametric test,and singular spectrum analysis.The research analyzed the relationship between sediment concentration and various factors,the variation pattern of water and sediment flux,pre-dicted the trend of water and sediment flux and the variation pattern of river bottom elevation,and pro-posed optimization strategies for monitoring water and sediment flux.It has certain practical significance in environmental governance,water and sediment regulation,flood control and disaster reduction.

water and sediment fluxsingular spectrum analysisriver bottom elevationwater and sand regulationtime series analysis

蒲宝卿

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陇南师范高等专科学校数信学院(甘肃 陇南 742500)

水沙通量 奇异谱分析 河底高程 调水调沙 时间序列分析

甘肃省高等学校创新基金(2022)

2022B-456

2024

通化师范学院学报
通化师范学院

通化师范学院学报

影响因子:0.266
ISSN:1008-7974
年,卷(期):2024.45(4)
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