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
蒲宝卿1
作者信息
- 1. 陇南师范高等专科学校数信学院(甘肃 陇南 742500)
- 折叠
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.
Abstract
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.
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Key words
water and sediment flux/singular spectrum analysis/river bottom elevation/water and sand regulation/time series analysis引用本文复制引用
基金项目
甘肃省高等学校创新基金(2022)(2022B-456)
出版年
2024
NETL
NSTL
万方数据