现代信息科技2025，Vol.9Issue(10)：45-49,5.DOI:10.19850/j.cnki.2096-4706.2025.10.009
基于集成算法的管道水质评估研究
Research on Pipeline Water Quality Assessment Based on Integrated Algorithm
聂立俊1
作者信息
- 1. 华北水利水电大学 信息工程学院,河南 郑州 450046
- 折叠
摘要
Abstract
In this paper,the water quality comprehensive index model is used for scenario innovation.Combined with the characteristics of stable physical environment of water quality in the pipeline,the pipeline water quality model PWQI is developed based on the integrated learning algorithm.The model selects 17 pipeline water quality parameters and divides them into 5 categories.In order to avoid the single weighting of water quality parameters,the combination weighting of water quality parameters is carried out by expert opinion and entropy weighting method.The CatBoost algorithm is used for regression prediction.Compared with the traditional water quality assessment method,the results show that the PWQI model has the most notable prediction effect on the pipeline water quality,which can accurately reflect the water quality of the pipeline and provide a basis for pipeline water quality assessment.关键词
水质指数/集成算法/组合赋权/水质评估Key words
water quality index/integrated algorithm/combined weighting/water quality assessment分类
信息技术与安全科学引用本文复制引用
聂立俊..基于集成算法的管道水质评估研究[J].现代信息科技,2025,9(10):45-49,5.
