基于GIS技術(shù)的城市防災(zāi)應(yīng)用研究

基于GIS技術(shù)的城市防災(zāi)應(yīng)用研究

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時(shí)間:2019-05-10

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1、蘭州理工大學(xué)碩士學(xué)位論文基于GIS技術(shù)的城市防災(zāi)應(yīng)用研究姓名:賀潤廳申請學(xué)位級別:碩士專業(yè):防災(zāi)減災(zāi)工程及防護(hù)工程指導(dǎo)教師:黨星海20100401基于GTs技術(shù)的城市防災(zāi)聲用研究AbstractBuildingsinurbanareaareveryimportantforlocalpeople’Sproductionandlife.Meanwhile,theOCCUrringofurbandisastersandbuildingshazardswilldirectlydestroytheresidents’propertiesandlifesafety.Soimprovingthea

2、bilityofbuildingsdisasterpreventionandmitigation,assessingandforecastingthepotentialrisksofthedisaster,willgreatlyreducetheprobabilityoftheeconomiclossandcasualty,alsoadvancetheabilityofthewholecitydisasterpreventionandreductionwillbedevelopedandstrengthened.Thispapermakesanalysisofthebuildings

3、vulnerabilityandthecitizens’potentiallifesafety.Duringtheanalysisprocesstheunpredictedeconomiclossandresidents’safetycausedbybuildingvulnerabilityalsodiscussed,theearthquakedisasteranalysisdatabaseisestablishedusingtheGIS(geographicinformationsystem)technique,andcombinedthesystemfordisasterprev

4、entionandmitigationbasedontheGIS.tech.Thethesiscomethroughtheapplicationcase,whichistheanalysisofbuildingvulnerabilityandresidents’safetyofoneapartmentblockinacountyofGansuprovince,emphasisdiscussandanalysisfocusonhowtomakeuseofexistingcadastralinformation(includedigitalizecadastralmaps,urbanca

5、dastraldatabaseandrecordsoflandsurveyandSOon),combinetheArcGISsoftwarepowerfulabilityofspatialanalysisandinformationmanagement,selectedonetypicalrepresentativeareaofthecountyforapplicationstudy.Firstlyrelevantbuildingvulnerabilityanalysisdatabaseisconstructed,throughtheanalysisofbuildingvulnera

6、bility(mainlyincludebuildingstructure,height,area,costandSOforth).Thencombingbuildingearthquakedisasterlossassessmentmodelandcasualtyforecastmethod,completetheeconomiclossevaluatingandcasualtyforesee,whichisthevariousconstructionofbuildingindifferentconditionofseismicintensity.Finallyallurbandi

7、sasterpreventionandmitigationdecisionsupportsystemisbuilt,theobjectistoachieveamorescientificandaccurateassistantdecisionmakingprogrammingforurbandisasterpreventionandmitigation.Keywords:GIS,ArcGIS,database,disasterpreventionandmi

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