首页|基于GA-RF的长距离引水隧洞涌水量预测

基于GA-RF的长距离引水隧洞涌水量预测

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长距离已成为未来隧洞工程的新特点,其中长距离输水隧洞的突涌水问题严重影响了隧洞的施工进度、施工安全和运营维护,准确预测隧洞涌水量、治理隧洞突涌水问题变得十分必要。文章以新疆某大型水利工程长距离引水隧洞为研究对象,选取地质构造、渗透率、降水量和水头高度作为涌水量的评价指标,基于遗传算法优化随机森林算法构建了引水隧洞涌水量预测模型,对隧洞涌水量进行预测,并与实际值进行比较,其误差较小,准确度较高,可有效地对隧洞涌水量进行预测,为施工现场隧洞突涌水的治理提供了指导。
Prediction of Flowing Yield of Long Distance Diversion Tunnel Based on GA-RF
The long distance has become a new feature of future tunnel engineering,in which the sudden water influx of long distance water diversion tunnel will seriously affect the excavation progress,construction safety,and operation and maintenance of the tunnel.It is necessary to accurately predict the flowing yield of the tunnel to control the water gushing problem.This paper focuses on the long distance diversion tunnel of a large water conservancy project in Xinjiang.Geological structure,permeability,precipitation and head height are selected as the evaluation indicators for the flowing yield.A predictive model for tunnel flowing yield is constructed based on GA-RF.The values of flowing yield in tunnels predicted with the model is compared with the actual values,and the results indicate that the model predicted values have small errors and high accuracy.Therefore,this model can effectively predict tunnel flowing yield,providing guidance for managing sudden water influx at tunnel construction sites.

water diversion tunnelflowing yieldpredictionGA-RF

巩立亮、张晓英

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江河安澜工程咨询有限公司,河南 郑州 450003

引水隧洞 涌水量 预测 GA-RF

2024

河南水利与南水北调
河南省水利厅

河南水利与南水北调

影响因子:0.382
ISSN:1673-8853
年,卷(期):2024.53(11)