基于HEC－RAS和反问题算法的突发污染溯源方法研究

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文章编号：1674-6139（2025）07-0015-06

中图分类号：X522文献标志码：A

Identification of Sudden Pollution Sources in Rivers Using HEC-RAS and Inverse Problem Algorithm

Lin Yiyuan

（FujianProvicialKyboratoryfnldingogujadefingschoduzh

Abstract：Amethodologicalframeworkwasestablishedtorealizetheall-weatheranddynamicsupervisionofsuddenwaterpolution sources.Theproposedmodel integrates theconceptsofaBayesian-multi MarkovchainMonteCarlomethodandHEC-RAShydrody namicmodel.Themethodologicalframeworkwastestedusingtwohypotheticalcasesofapotentialsudenastewaterspillincidentand multi-pointsourceshichthelocationinformationisknown.Thestudyresultsshowthat：Forthetrackingofsuddenwastewaterdischarge，heinverseproblemmodelcanefectivelyestimatesourceparametersincludingsourcelocation，sourceflowrate，startingand endingtieofdischarge.Forthdyamicsupervisionofmultiplepolutionsouces，theinverseproblemmodelcanfctivelyidentifythe dischargeamoutsandtarting/endingtimeofmultiplepolutionsources.Thedevelopedinversemodelcouldprovidetechicalsolutiofor dynamic monitoring of sudden water pollution with the support of on-line data in the future.

Keywords：polltion source tracking；inverse problem；hydrodynamic model；HEC-RAS；Bayesianalgorithm

前言

突发水污染事件具有不确定性、隐蔽性和非连续性等特点，监管难度大，确定污染排放信息是开展应急处置和风险防控的前提。（剩余4476字）