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                              Analysisofbedmorphologicalfeatureparametersandmigration
                                          velocitybasedonAIimagerecognition

                                                  1,2
                                                                                     1,2
                                                                   1,2
                                   1,2
                    ZHANGLingfeng ,LIUChunjing ,CAOWenhong ,JIANGXiaopeng ,ZHANGYu                 1,2
                              (1.StateKeyLaboratoryofWatershedWaterCycleSimulationandRegulation,ChinaInstituteof
                                       WaterResourcesandHydropowerResearch ,Beijing 100048,China;
                        2.KeyLaboratoryofSedimentScienceandNorthernRiverTraining.MinistryofWaterResources,ChinaInstituteof
                                       WaterResourcesandHydropowerResearch,Beijing 100048,China)

                  Abstract:Thecharacteristicparametersandmigrationvelocityofbedformsarekeyfactorsinfluencinghydraulicre
                  sistanceandthemechanismofsedimenttransport ,whichareofsignificantimportanceforanalyzingriverbedevolu
                  tiontrends ,benthichabitatsystems,andtheimpactofhumanactivities.ThispaperutilizesAIVisionalFounda
                  tionModeltoobtainlong - duration ,highspatiotemporalresolutiondataonthedynamicdevelopmentofbedforms
                  fromthesidewallsofflume.Byadoptingimprovedmethodsforquantifyingbedformmorphologyandcalculatingmi
                  grationvelocity ,thebedform characteristicparametersandmigrationspeedsunderninedifferentconditionswere
                  extracted.Theresultsindicatethatunderdynamicequilibrium states ,significantrandom fluctuationsstillexistin
                  bedformcharacteristicparametersandmigrationvelocities ,withmigrationspeedshowinghighervolatilityandvaria
                  bility.Theaveragemigrationvelocityofthebedform increasesexponentiallywiththeintensificationofsediment
                  transportandbedloadmovement ,whilerelativewaveheightandsteepnessfollowaparabolicrelationshipwiththe
                  intensityofsedimentmovement.Approximately95% oftheleesidefaceanglesareconcentratedbetween10°and
                  30° ,showingalinearrelationshipwithsteepness.Bothbedform morphologyandmigrationvelocityexhibitapro
                  nouncedright - skeweddistributionwithtailingcharacteristics.Amongthem ,waveheightandwavelengthfitthe
                  Birnbaum - Saundersdistributionmostclosely,whileotherbedformmorphologycharacteristicsandmigrationveloci
                  tiesfollowaGammadistribution.
                  Keywords:bedform;AIimagerecognition;migrationvelocityofbedforms;intensityofbedloadmovement


                                                                            (责任编辑:鲁 婧 韩 昆)


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