18675.基于gis的鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)研究

1、分類號：密級：學(xué)號：6120100047單位代碼：10407碩士學(xué)位論文論文題目:基于基于GIS的鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)的鄱陽湖區(qū)洪災(zāi)損失評估系統(tǒng)研究研究研究方向GIS應(yīng)用應(yīng)用與開發(fā)與開發(fā)專業(yè)名稱地圖學(xué)與地理信息系統(tǒng)地圖學(xué)與地理信息系統(tǒng)研究生姓名張璐張璐導(dǎo)師姓名、職稱劉小生劉小生教授教授2013年3月30日江西贛州IIAbstractPoyangLakeareaofflooddisastersaremeserious.Eachyear

2、theeconomiclossescausedbyfloodsareenmous.Flooddamageassessmentisanintegralpartofthefieldoffloodcontroldisastermitigationhowtousethenonengineeringmeasuresffloodlossesevaluationcalculationaccuratelythisisastrategictaskinfr

3、ontofusrelatedtothePoyangLakeareaofsustainableeconomicdevelopmentattachedgreatmemeimptancebythePoyangLakeDistrictgovernmentdepartmentsitisnecessarytocarryoutthePoyangLakeareaflooddamageassessmentsystembasedonGIS.Firstthe

4、paperoutlinestheresearchbackgroundsignificanceofthePoyangLakeareaflooddamageevaluationsystemPoyangLakeflooddamageevaluationsystemneedsanalysisoveralldesignrequirementsanalysisincludedatarequirementsanalysisuserrequiremen

5、tsanalysisfunctionalrequirementsanalysisoveralldesignincludedevelopmentenvironmentframewkstructuredesignpatternsdesignpatternstobuildapluginGISapplicationframewk.SecondlystudyapplicationmodelofPoyangLakeareaflooddamageev

6、aluationsystemdescribetheapplicationmodelofGPUBPneuralwk.ToestablishFloodanalysismodelofGPUaccelerationBPneuralwkflooddamageassessmentmodel.ThenthePoYangHuOuflooddamageassessmentsystemmodelisstudiedonthisbasistoestablish

7、tspatialdatabaseattributedatabasetherealizationoftheconnectiondatawithaclethroughspatialdatabaseengineArcSDEtechnology.FinallytakeArcGIS9.3asGISplatfmacle10gasdatabaseplatfmuseplatfmC#languagethroughCSstructureusetheArcG

8、ISEnginecomponenttechnologythirdpartypluginsDeveloperExpresstodevelopimplementthePoyangLakeareaflooddamageevaluationsystemwhichcontainsbasicdatamanagementbasicinfmationqueryanalysisfloodanalysismodelofGPUaccelerationfloo

9、dfecastBPneuralwkflooddamageassessment.ThefloodanalysismodelbasedonthetheGPUwhichbelongstoPoyangLakeareaflooddamageevaluationsystemcanplaytheabilityoftheGPUparallelprocessingfloatingpointoperationsunderthepremiseofcalcul

10、ationaccuracytogetinundatedareaquicklytheninputrealtimefloodinundationareaimpactfactintoBPneuralwkflooddamageassessmentmodelthustoenhancetheaccuracyofflooddisasterlossassessment.AtthesametimePoyangLakeareaflooddamageeval