黄河水沙监测数据分析与模型构建  

Analysis of Water and Sediment Monitoring Data and Model Construction of the Yellow River

作　　者：蒲宝卿[1] PU Baoqing(Longnan Teachers College,Longnan 742500,China)

机构地区：[1]陇南师范高等专科学校数信学院,甘肃陇南742500

出　　处：《通化师范学院学报》2024年第4期23-29,共7页Journal of Tonghua Normal University

基　　金：2022年甘肃省高等学校创新基金项目(2022B-456)。

摘　　要：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.By analyzing and studying the water and sediment monitoring data of the Yellow River,the research 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.

关 键 词：水沙通量 奇异谱分析 河底高程 调水调沙 时间序列分析 

分 类 号：O29[理学—应用数学]