基于ArcGISEngine林火蔓延模拟算法的比较分析-丁智

31520149JournalofUniversityofChineseAcademyofSciencesVol．31SeptemberNo．52014*2013CB430401Y3A1014001[e-mail]2095-6134201405-0640-07ArcGISEngine*1211121212121130102210004920139302013125DingZSongKSWangZMetal．ContrastiveanalysisofalgorithmsoftheforestfirespreadingsimulationbasedonArcGISEngineJ．JournalofUniversityofChineseAcademyofSciences2014315640-646．．．5、7、16s3204、458、1325s．59.75%．79.51%．ArcGISEngineS762Adoi10.7523/j．issn．2095-6134.2014.05.009ContrastiveanalysisofalgorithmsoftheforestfirespreadingsimulationbasedonArcGISEngineDINGZhi12SONGKaishan1WANGZongming1TANGXuguang12DONGZhangyu12JIAMingming12SHAOTiantian121NortheastInstituteofGeographyandAgroecologyChineseAcademyofSciencesChangchun130102China2UniversityofChineseAcademyofSciencesBeijing100049ChinaAbstractSelectionofalgorithmsforforestfirespreadingsimulationisimportant．Inthispaperthetraditionalboundaryinterpolationalgorithmisoptimizedandthencomparedwiththemazealgorithminforestfirespreadingsimulation．Theresultsarethefollowing．Themazealgorithmconsumesmoretime204、458、1325sthantheboundaryinterpolationalgorithm5、7、16s．ThetimeconsumedbythemazealgorithmwilldoublyincreaseAsfarasaccuracyofsimulationresultsconcernedtheboundaryinterpolationalgorithmhasaloweraccuray59.75%thanthemazealgorithmbutitshowssimplechangesoftheforestfirespreadinggenerally．Ｒesultsobtainedfrommazealgorithmprovidemoredetailedinformationfortheforestfirespreadinganditresemblescloselytoactualspreadingarea．KeywordsforestfirespreadingsimulationboundaryinterpolationmazealgorithmArcGISEngine5ArcGISEngine．22640hm20.23%1．200920.36%198756124.3hm2．、、2．、．、、、、3．4-7．Ｒothermel8、9、McArthur1011-14．15-19．20．、Huygens21．．20094272．11.1VisualC#ArcGISEngine．ArcGISEngineESＲIArcMapArcObjects．ArcGISEngineArcMapArcMap．ArcGISEngineArcObjectsArcGISEngine．ArcGISEngineESＲIGISGIS．ArcGISEngine．1.212、、3．．———．211Ｒ0=0．0299×T+0．047×W+0．009×100－h－0．3041Ｒ0WTh．22Ｒup=Ｒ0×Ks×exp3．533×tgφ×1．2×exp0．1783×V×cosθ214631Ｒdown=Ｒ0×Ks×exp－3．533×tgφ×1．2×exp0．1783×V×cos180°－θ3Ｒleft=Ｒ0×Ks×exp0．1783×cos90°+θ4Ｒright=Ｒ0×Ks×exp0．1783×V×cosθ－90°5Ｒwl=Ｒ0×Ks×exp3．533×tgφ×cosθ1．2×exp0．1783×V6θ=0°～90°θ=270°～360°Ｒw2=Ｒ0×Ks×exp－3．533×tgφ×cos180°－θ1．2×exp0．1783×V7θ=90°～270°．Ｒw1Ｒw2Ｒ0KsΦVθ22．1.3．88、、、、、、．．．．88．3．3TT+t、T、T－t．3．．ESＲIArcGISEngineArcGIS．Kringing、spline、IDW3．3．．1.4．．8E、SE、S、SW、W、NW、N、NE．8∑t∑tT∑t∑t∑tT8．∑tT．2．1．1．2465ArcGISEngine232．．1Fig．1Diagramofdepth-firstsearch2Fig．2Diagramofbreadth-firstsearch22.12009．42713405212．4291404．．21.7℃37.4%2.1m/s6.1m/s．DEM、、．2008Landsat-730mESＲIArcMapDEM30m2009429Landsat2009427—29．、、、、、．3Fig．3Processofbasedata2.2213234．．ESＲIArcGIS346314Fig．4SimulationofboundaryinterpolationalgorithmEngine．IＲasterＲendererArcGISEngine11．5．5Fig．5Simulationofmazealgorithm2.3、、．．6．6Fig．6Ｒesultsofsimulation．3．1313Table1ＲesultsattimeofT1T2andT3T1=20hT2=48hT3=76h/km2/km221．2340．2566．1922．48/s5716/km236．5870．65125．35/s204458132544．394465ArcGISEngine7km221km2．30s10s．72．/79.51%/458s7s．7T2Fig．7OverlayofactualandsimulatedburnedareasattimeofT22T2Table2ComparisonofsimulationresultsattimeofT2/km2/km2/%/%/s58.6640.2535.0587.0759.75770.6546.6466.0279.5145832．87.07%．．、．2、．1GuoKJZhangWQuJX．PresentstatusandprospectofforestfirefightingequipmentJ．ForestryMachinery＆WoodworkingEquipment20093778inChinese．．J．20093778．2ZhaoLLiuPJZhouYFetal．InterpolationovercomplexterrainanditsapplicationinthesimulationofforestfirespreadingJ．JournalofBeijingForestryUniversity201032412-16inChinese．．J．201032412-16．3TangXYMengXYYiHＲ．ＲeviewandprospectofresearchesonforestfirespreadingmodelsandsimulatingmethodJ．JournalofBeijingForestryUniversity200224187-91inChinese．．J．200224187-91．546314HernándezEncinasAHernándezEncinasLHoyaWhiteSetal．SimulationofforestfirefrontsusingcellularautomataJ．AdvancesinEngineeringSoftware2007386372-378．5YassemiSDragicevicSSchmidtM．DesignandimplementationofanintegratedGIS-basedcellularautomatamodeltocharacterizeforestfirebehaviorJ．EcologicalModelling2008210171-84．6DenhamMCortésAMargalefT．ComputationalsteeringstrategytocalibrateinputvariablesinadynamicdatadrivengeneticalgorithmforforestfirespreadpredictionM．ComputationalScience-ICCSSpringerBerlinHeidelberg2009479-488．7FinneyMAGrenfellICMcHughCWetal．AmethodforensemblewildlandfiresimulationJ．EnvironmentalModeling＆Assessment2011162153-167．8ＲothermelＲC．AmathematicalmodelforpredictingfirespreadinwildlandfuelsM．USFS1972．9．M．199224．10McArthurAG．WeatherandgrasslandfirebehaviorM．ForestryandTimberBureauDepartmentofnationalDevelopmentCommonwealthofAustralia1966．11WangZF．ThemeasurementmethodofthewildfireinitialspreadrateJ．MountainＲesearch19831242-51inChinese．．J．19831242-51．12WangZF．CurrentforestfiredangerratingsystemJ．JournalofNaturalDisasters19921341inChinese．．J．19921341．13WangHHZhuQPJiangWetal．AmathematicalmodelforestimatingsurfacefirebehaviorJ．FireSafetyScience19943133-41inChinese．．J．19943133-41．14YuanHYFanWC．ThemathematicmodelforsurveyingsurfacefirebehaviorbyuseofaerophotogrammetryandDTMJ．FireSafetyScience19954231-51inChinese．．DTMJ．19954231-51．15MuzyAWainerGInnoce