水利信息化Issue(5)：49-53,5.DOI:10.19364/j.1674-9405.2025.05.008
基于回归模型的感潮河段断面平均流速精度影响因素分析
Analysis of factors affecting accuracy of average flow velocity in tidal river sections based on regression models
陈健健 1曹贯中1
作者信息
- 1. 长江水利委员会水文局长江下游水文水资源勘测局,江苏 南京 210011
- 折叠
摘要
Abstract
To investigate the factors influencing the fitting accuracy of linear regression models for average flow velocity in tidal river sections,measured data from the Nanjing Hydrological Experimental Station in the tidal reach of the Yangtze River were used as a case study.A multiple linear regression model based on ADCP real-time representative velocities was established.Two schemes—adding independent variables and adding dummy variables—were considered to compare fitting performance and evaluate their effects on model accuracy.Based on engineering practice,it was deemed appropriate to include two to three representative velocities in the model,which ensured that the calculated average flow velocity meets data compilation requirements while avoiding overfitting.In addition,when some monitoring facilities were under maintenance or malfunctioning,resulting in missing representative velocities,dummy variables can be introduced to maintain model accuracy.The research results provide an accuracy guarantee for compiling cross-sectional average flow data in tidal river sections.关键词
感潮河段/断面平均流速/多元线性回归模型/自变量/哑变量/ADCPKey words
tidal river section/average cross-sectional velocity/multiple linear regression model/independent variables/dummy variables/ADCP分类
天文与地球科学引用本文复制引用
陈健健,曹贯中..基于回归模型的感潮河段断面平均流速精度影响因素分析[J].水利信息化,2025,(5):49-53,5.
