学科分类
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4 个结果
  • 简介:Inthehillyregionduetoscarcityoftheplainarea,buildingslikesetback-stepbackaremoreoftenusedandalsoasabigsurgeinthetelecommunicationindustries,rooftoptoweradaptationisverycommonstorynowadays.Inthepresentstudyananalogyhasbeendrawntofindouttheinfluenceoftherooftoptelecommunicationtoweronthesetback-stepbackbuildingrestingongroundat20°and30°slopes.Adynamicanalysishasbeenperformedandcomparedonthe4leggedangledsectiontelecommunicationtowerwhichislocatedontherooftopofsetback-stepbackbuildingbyvaryingpositionsoftowerwiththeexistinghoststructurebuiltupongroundslopeof20°and30°inbothdirections(XandY).

  • 标签: rooftop telecommunication tower SET back-step BACK
  • 简介:Adeep,narrow,anddistortedBenioffzone,plungingfromtheIonianSeatowardsthesouthernTyrrhenianbasin,istheremnantofalongandeastwardmigratingsubductionofeasternMediterraneanlithosphere.FromOligocenetoRecent,subductiongeneratedtheWesternMediterraneanandtheTyrrhenianback-arcbasins,aswellasanaccretionarywedgeconstitutingtheSouthernAoenninicArc.IntheTyrrhenianSea,stretchingstartedinlateMioceneandeventuallyproducedtwosmalloceanicareas:theVavilovPlainduringPliocene(inthecentralsector)andtheMarsiliPlainduringQuaternary(inthesoutheasternsector).Theyareseparatedbyathickercrustalsector,calledtheIsselBridge.Back-arcexten-sionwasrapidanddiscontinuous,andaffectedalandlockedareawherecontinentalelementsofvarioussizesoccurred.DiscontinuitiesinextensionweremirroredbychangesinnatureofthelithospherescrapedofftoformtheSouthernApenninicArc.PartofthetectonicunitsofthesouthernApennines,accretedintothewedgefromlateMiocenetoPliocene,hadoriginallybeenlaiddownonthinnedconti-nentallithosphere,whichshouldconstitutethedeepportionofthepresentslab.AfterPlio-cene,onlyIonianoceaniclithospherewassubducted,becausethelargebuoyancyofthewideandnotthinnedcontinentallithosphereofApuliaandAfrica(Sicily)preservedtheseelementsfromrollbackofsubduction.AfterPliocene,thepassivelyretreatingoceanicslabhadtoadjustanddistortaccordingtothegeometryofthesecontinentalelements.ThelateonsetofarcvolcanisminrespecttothedurationofextensionintheTyrrhenian-Ioniansystemmayfindanexpla-nationconsideringaninitialstageofsubduc-tionofthinnedcontinentallithosphere.ThestrongPleistoceneverticalmovementsthatoccurredinthewholesoutheasternsystem(subsidenceintheback-arcbasinandupliftintheorogenicarc)mayinsteadberelatedtothedistortionoftheoceanicslab.

  • 标签: 岩石圈 意大利 伊特鲁里亚 back-arc盆地 消减作用 爱奥尼亚
  • 简介:在Changjiang河口的北方经过隧道的背淤泥力量的时间、空间的变化是调查u-sing实验直角的函数(文件结束)方法,与目的到决定强加的进程和时间规模。自从2000年3月,在隧道的每个挖出的单位的back-siltingquantity上的数据被收集了,主要一次15d。背淤泥力量的文件结束分析揭示二个重要模式,它完全解释58。第一个文件结束模式显示出的33%全面变化,和相应过程和time-scales.The是的一个清楚的年度周期由河流的水和输沙量决定了从在上游。第二个文件结束模式揭示在back-siltingstrength和工程活动之间的一种靠近的关系。因为这些过程极大地在这个学习案例中被互连,为41的另外的文件结束模式财务。67%全部的变化不显示出清楚的过程andtime规模。

  • 标签: 长江入海口 北部水道 回淤长度 淤积 河口湾
  • 简介:MostofthestudiesonArtificialNeuralNetwork(ANN)modelsremainrestrictedtosmallerriversandcatchments.Inthispaper,anattempthasbeenmadetocorrelatevariabilityofsedimentloadswithrainfallandrunoffthroughtheapplicationoftheBackPropagationNeuralNetwork(BPNN)algorithmforalargetropicalriver.ThealgorithmandsimulationaredonethroughMATLABenvironment.Themethodologycomprisedofacollectionofdataonrainfall,waterdischarge,andsedimentdischargefortheNarmadaRiveratvariouslocations(alongwithtimevariables)andapplicationtodevelopathreelayerBPNNmodelforthepredictionofsedimentdischarges.Fortrainingandvalidationpurposesasetof549datapointsforthemonsoon(16June-15November)periodofthreeconsecutiveyears(1996–1998)wasused.Fortestingpurposes,theBPNNmodelwasfurthertrainedusingasetof732datapointsofmonsoonseasonoffouryears(2006–07to2009–10)atninestations.Themodelwastestedbypredictingdailysedimentloadforthemonsoonseasonoftheyear2010–11.ToevaluatetheperformanceoftheBPNNmodel,errorswerecalculatedbycomparingtheactualandpredictedloads.Thevalidationandtestingresultsobtainedatalltheselocationsaretabulatedanddiscussed.Resultsobtainedfromthemodelapplicationarerobustandencouragingnotonlyforthesub-basinsbutalsofortheentirebasin.Theseresultssuggestthattheproposedmodeliscapableofpredictingthedailysedimentloadevenatdownstreamlocations,whichshownonlinearityinthetransportationprocess.Overall,theproposedmodelwithfurthertrainingmightbeusefulinthepredictionofsedimentdischargesforlargeriverbasins.

  • 标签: Artificial NEURAL network BACK propagation Sediment