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ID:36437963
大小:4.45 MB
页数:125页
时间:2019-05-10
《城市智能型防洪减灾决策支持系统研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、天津大学博士学位论文城市智能型防洪减灾决策支持系统研究姓名:阎俊爱申请学位级别:博士专业:管理科学与工程指导教师:钟登华20031101ABSTRACTTosolveaseriesofproblemsconfrontedinresearchfieldofurbanfloodcontrolanddisasterreductionofourcountry,thetheoriesandmethodsofDSSforurbanintelligentfloodcontrolanddisasterreductionwerediscussedbyapplyingthet
2、heoriesandmethodsofmodemmanagementsciencefromtheviewpointofsystemanalysis.Meanwhile,someproblemsinthesystemarestudiedthoroughly.Themainachievementsareasfollows:1.Inallusiontothecharacteristicsofurbanfloodcontr01anddisasterreductiondecision,suchasurgentdecision-makingtime,theimperf
3、ectionanduncertaintyofinformationneeded,thetheoreticframeworkofDSSforurbanintelligentfloodcontr01anddisasterreductionisdesignedbyusingES.ANNandGISbasedonfloodcontrolanddisasterdeductionDSS.2.nleinteractionsamongobjectsbearingflooddisaster,inducing..floodfactorsandinducing..flooden
4、vironmentofurbanflooddisastersystemareanalyzed.Theformationmechanismofurbanflooddisasterisstudiedandanalyzedcomprehensivelyanddeeplyaimingatthecomplexityofurbanfloodformation.ItCanbeconcludedthatthecyclingandannualvariationsofclimaticfactorsarethedirectfactorsleadingtofloods.these
5、verenaturalenvironmentaldeteriorationresultingfromhumansocial—economicactivities,however,isthedominatingfactorinurbanfloodincreasing.3.Anewrunoffforecastingmodel.basedonthecombinationofgeneticalgorithmandneuralnetwork,isproposed,whichintegratewiththestrongpointofgeneticalgorithman
6、dneuralnetwork.neaccuracyandthespeedofrunoffforecastingareeffectivelyimprovedthatofferedanewmethodforsolvingrunoffforecastingproblem.4.ThetechnicalprinciplesandmethodsofGIS—basedfloodroutingdynamicvisuaIsimulationforriver,storageanddetentionbasinsareproposed.Atthesametime,theestab
7、lishmentprocessofthree.dimensionalvisualmodeIsisanalyzed.andthegeneralframeworkanddevelopmentpatternofthefloodroutingsystemforriver,storagedetentionbasinsaredesigned.IntheendtherealizationoffunctionsofthesystemisalSOintroducedindetails.5.Theeffectfactorsofurbanflood10SSareanalyzed
8、systematically,theurbanfloodlossi
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