简介：Therelationbetweenthewaterdischarge(Q)andsuspendedsedimentconcentration(SSC)oftheRiverRamgangaatBareilly,UttarPradesh,intheHimalayas,hasbeenmodeledusingArtificialNeuralNetworks(ANNs).Thecurrentstudyvalidatesthepracticalcapabilityandusefulnessofthistoolforsimulatingcomplexnonlinear,realworld,riversystemprocessesintheHimalayanscenario.ThemodelingapproachisbasedonthetimeseriesdatacollectedfromJanuarytoDecember(2008-2010)forQandSSC.ThreeANNs(T1-T3)withdifferentnetworkconfigurationshavebeendevelopedandtrainedusingtheLevenbergMarquardtBackPropagationAlgorithmintheMatlabroutines.Networkswereoptimizedusingtheenumerationtechnique,and,finally,thebestnetworkisusedtopredicttheSSCvaluesfortheyear2011.ThevaluesthusobtainedthroughtheANNmodelarecomparedwiththeobservedvaluesofSSC.Thecoefficientofdetermination(R2),fortheoptimalnetworkwasfoundtobe0.99.ThestudynotonlyprovidesinsightintoANNmodelingintheHimalayanriverscenario,butitalsofocusesontheimportanceofunderstandingariverbasinandthefactorsthataffecttheSSC,beforeattemptingtomodelit.Despitethetemporalvariationsinthestudyarea,itispossibletomodelandsuccessfullypredicttheSSCvalueswithverysimplisticANNmodels.

简介：IntheSoutheastMarginoftheTibetanPlateau,low-velocitysedimentarylayersthatwouldsignificantlyaffecttheaccuracyoftheH-κstackingofreceiverfunctionsarewidelydistributed.Inthisstudy,weuseteleseismicwaveformdataof475eventsfrom97temporarybroadbandseismometersdeployedbyChinArrayPhaseItoobtaincrustalthicknessesandPoisson’sratioswithintheChuxiong-SimaoBasinandadjacentarea,employinganimprovedmethodinwhichthereceiverfunctionsareprocessedthrougharesonance-removalfilter,andtheH-κstackingistime-corrected.Resultsshowthatthecrustalthicknessrangesfrom30to55kminthestudyarea,reachingitsthickestvalueinthenorthwestandthinningtowardsouthwest,southeastandnortheast.TheapparentvariationofcrustalthicknessaroundtheRedRiverFaultsupportstheviewofsoutheasternescapeoftheTibetanPlateau.RelativelythincrustalthicknessinthezonebetweenChuxiongCityandtheRedRiverFaultindicatespossibleupliftofmantleinthisarea.ThepositivecorrelationbetweencrustalthicknessandPoisson’sratioislikelytoberelatedtolowercrustthickening.Comparisonofresultsobtainedfromdifferentmethodsshowsthattheimprovedmethodusedinourstudycaneffectivelyremovethereverberationeffectofsedimentarylayers.