云南水力发电2024，Vol.40Issue(7)：15-19,5.DOI:10.3969/j.issn.1006-3951.2024.07.004
基于ADCP的水文站断面平均流速AI计算模型研究
Research on AI Calculation Model for Average Flow Velocity of Hydrological Station Cross-section Based on ADCP
吴思东1
作者信息
- 1. 广东省水文局惠州水文分局,广东 惠州 516000
- 折叠
摘要
Abstract
The aim of this study is to explore how to use navigation based ADCP flow velocity data and artificial intelligence technology to improve the accuracy of calculating the average flow velocity of the cross-section at Lingshui hydropower station and solve complex flow monitoring problems.By comparing the indicator flow rate method and AI based computational models,their performance and applicability under different water depth conditions were evaluated.The results indicate that in most cases,AI algorithms exhibit higher computational qualification rates and lower uncertainty,especially during high and medium water periods.However,there are still issues with data quality during low water period flow measurement,and further improvement and expansion of sample size are needed.This study provides important basis for providing more accurate and real-time hydrological information to support water resource management,flood prevention and disaster reduction,and ecological protection.关键词
走航式ADCP数据采集/水文站断面平均流速/AI计算模型Key words
navigation ADCP data collection/average flow velocity of hydrological station cross-section/AI computing model分类
地球科学引用本文复制引用
吴思东..基于ADCP的水文站断面平均流速AI计算模型研究[J].云南水力发电,2024,40(7):15-19,5.
