基于机器学习的输水河道沿线地下水位预测分析

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关键词：引调水工程；地下水位；机器学习；预测分析；引江济淮工程

中图分类号：TV62；TV882.3 文献标志码：A

doi：10.3969/j.issn.1000-1379.2026.01.013

Prediction and Analysis of Groundwater Level Around Water Conveyance River Based on Machine Learning

ZHANG Yibo， WANG Hui， ZHAO Shougang  ， LAN Yan （1EngineerigTchnologyResearchCenterofDikeSfetyandDiseaseControl，inistryofWaterResources，Zhengzou450，ina; 2.Yellow River Institute of Hydraulic Research，Yellow River Conservancy Commisson， Zhengzhou 450o03，China; 3.Henan Yangtze-to-Huaihe Water Diversion Engineering Co.，Ltd.，Zhengzhou 450o0o，China）

Abstract：ThewaterdiversionprojectfromtheYangtzeRivertoteHuaieRiverisamajorwaterresourcesalocationprojectIsHenan sectionuppieswaterfroteXifeiRiverinAnuiProvicetotheupstream.TeprojectusesteQingsuiRivertotransportwaterfor8.40 km，andeopratioofepoctillcusetagofgroundaterevel.refor，teifueneofteangofgoudeevel roundtheriverontsfeandableoperatioof teprojectissuded.Intisstudy，PN，SndXGBoostalgoritsweusedto tablishmachinlaingodelstopredictthgroudwaterevelaroundthewaterconveancehael.Tetraingeectsofdiretodels werecomparedandeoptialpredictionodelwassleted.Teiflueneofdiferentverticaldistaesfrotechanelonteprdictio of groundwaterlevelwasanalyzed.TheresultsshowthatSVMasthebestfectinpredictinggroudwaterlevel，andtevricaldistance from the channel has no effect on the prediction results of groundwater level.

Keywords：waterdivesionproect；roundwaterlevel；machineleaing；forecastinganalysis；angtze-touaieWaterDivesiorojet

引江济淮工程由长江下游向淮河中游地区跨流域补水，是国家水网建设的重大水利工程之一，分为引江济巢、江淮沟通、江水北送3段。（剩余5924字）