基于HEC－RAS和反問(wèn)題算法的突發(fā)污染溯源方法研究

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文章編號(hào)：1674-6139（2025）07-0015-06

中圖分類號(hào)：X522文獻(xiàn)標(biāo)志碼：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

突發(fā)水污染事件具有不確定性、隱蔽性和非連續(xù)性等特點(diǎn)，監(jiān)管難度大，確定污染排放信息是開展應(yīng)急處置和風(fēng)險(xiǎn)防控的前提。（剩余4476字）