Introductio.docx
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Introductio
1.Introduction
Withthepredictedincreaseinglobetemperature,thehumanfacemanydisastersincludingthenaturalecosystemsandthesocialeconomy.Inthenaturalecosystems,thereisthemeltingoftheglacier,morerisingsealevelandsoon.Inthesocialeconomy,thereistheproductionofmaincropsandanimalhusbandry,thewatersupply,theenergyresourcessupplyandsoon.Andtherearesomerelationswiththeaffects.Becausethereisverydifficulttoassessalltheaffects,weonlydiscussthemostimportanteffectinthispaper:
themeltingofthenorthpolaricecap.
2.RestatementClarificationoftheproblem
Asweknow,ifthenorthpolaricecaphasmelted,thehumanwillfacethehugedisaster.Soit’simportantandnecessarytostudytheproblem.Consideringtherearemanyeffects,weonlydiscussthefollowingeffects:
●Theriseofthesealevel;
●Theaggravationofthehurricane;
●Themigrationandmutationofthespecies;
●Theinternationaleconomicimpact.
Thenweestablishourmodelstoassesstheeffectsabove.WecalculatetheeffectsonthecoastofFloridaeverytenyearsforthenext50yearsduetothemelting.Inourmodels,theeffectsoflargemetropolitanareasattractourgreatattention.
Aftercalculatingtheeffects,wealsogivesomepreventivemeasurestoslowdowntheeffortsduetothemelting.
3.Assumption
Beforediscussingtheefforts,wewillneedthefollowingassumptions:
●TheicethickateverypointintheArcticisthesame
Infact,thereisimpossiblethat
4.Modeldesign
4.1Estimateoftheimpactoftheriseofthesealevel
4.1.1CalculatetheareaoftheArctic
Fromtheassumptionabove,allthemeltedicechangestothewater.
First,wedealwiththeArcticSeaIceConcentrations(AppendixA)[1].IntheArcticSeaIceConcentrations,theArcticisdigitizedonastandard1-degreegridandthetotalgridsare80*58.WecanobtaintheLatitudeandLongitudecoordinates(AppendixB)[1].AnalyzingthedataoftheLatitudeandLongitudecoordinates,wethinktheshapeofthegridisanirregularquadrilateral.Andwedividethequadrilater
-alintotwotriangles,andthevertexpointsofthetrianglesarethevertexpointsofthegrid.Theareaofthegridisthesumofthetwotriangleareas.WiththeLatitudeandLongitudecoordinates,wecalculatetheareaofonetriangle.Theapproachisasfollow:
●Onegridisdividedintotwotrianglesasfollow
●Onetriangleofthegridisasfollow(Figure2):
Figure2Arandomtriangulargrid
(
arethetriangularsides)
●Calculatearandomsideofsometriangulargridbythefollowingformula:
Where,
=thedistancebetweenthepointAandthepointB(km);
=theradiusoftheearth(=6371km);
=thelongitudesofthepointsAandB,and;
=theLatitudesofthepointsAandB.
●Counttheareaofthetriangle
asfollow:
Where,
=
.
●Counttheareaoftheothertriangle.
Theapproachisthesameasthemethodwithwhichwecounttheareaofthetriangle
●Assesstheareaofthegrid.
Theareaofthegridisthesumofthetwotriangleareas.
4.1.2Buildthefunctiontheamountoftheareacoveredbyiceandthetime
After,wecompileaCprogramtodotheareaofeverytriangulargrid,andreceiveadatapacketreplacedbyDataA.ThesumoftheDataAistheareaoftheArctic(
).WiththeArcticSeaIceConcentrations,wecanobtainthepercentageofeverygridsquareareacoveredbyiceeveryyearwithanotherCprogram,andreceivecorrespondingdatapacket(donateDataB).DataAmultiplyDataB,andtheresultisdonatedDataC.DataCisanarray
.EitherdatumintheDataCindicatestheareacoveredbyiceinthegrid.Thesumoftherowofthearray
dividedbytheareaofArctic(excludingthefirstrow)istheamountoftheareacoveredbyiceintheArcticeveryyearandgenerateddatapacket(donateDataD).DataDisanarray
.Thearray
columnsstatetheyearsfrom1901to1994.
ThenwecandrawanexpressionoftheamountoftheareacoveredbyiceintheArcticbythemethodofcurvefittingwithMatlab:
Where,
=theyearwewanttostudy(When
isequalto0,theyearis1990);
=ThepercentageoftheareacoveredbyiceintheArcticforyear.
Whenfitting,weusetheleastsquaremethod.Whenthefunctionisquadric,theminimumvarianceestimationis0.0494.Whenthefunctioniscubic,thevalueis0.0472.Consideringonthenumericalaccuracyofthecomputer,weusethecubicfunctionandthefittingfigureisasfollow(Figure2).
Figure2Thefittingcurve
Theringdenotestheactualdata
4.1.3Drawafunctiontocalculatethesea-iceamountforspecificmonth
Thesea-iceconcentrationsforthemonthsoftheclimatologicallyaremaximalinMarchandminimalinSeptemberfortheperiod1990to1999derivedfromSSM/Idata[].
Figure3Meansea-iceconcentration(1990-1999)fromSSM/Idatafor(a)Marchand(b)September[].
Wecanconcludethatthesea-iceconcentrationforMarchismuchbiggerthanthesea-iceconcentrationforSeptemberfromtheFigure3.Andifweusetheaveragesea-iceconcentrationperyeartoweightthemeansea-iceconcentrationforMarchorSeptember,theresultwemakeisunreal.It’snecessarytodrawaexpressiontoestimatethesea-iceamountforMarchandForSeptember.
March
Theapproachweuseisverysimilartotheapproachwithwhichweobtaintheaverageamountoftheareabyiceeveryyear.WiththeArcticSeaIceConcentrations,weassessthepercentageofeverygridsquareareacoveredbyiceforMarch.Withthecurvefitting,wedrawaexpressionasfollow:
Where,
=ThepercentageoftheareacoveredbyiceintheArcticforMarch.
Andthecurveisasfollow(Figure4):
Figure4ThefittingcurveforMonth
September
Theapproachisasbefore.Andthefunctionandthecurveareasfollow(Figure5):
Where,
=thepercentageoftheareacoveredbyiceforSeptember.
Figure5ThefittingcurveforSeptember
4.1.4Therelationbetweentheriseofthesealevelandthetime
Infact,therearemanyfactorscausingtheriseofthesealevel.However,themostimportantfactorisadecreaseofthedensityofseawater,andtheicemeltedisasecondaryfactor[].Thevalueinuseofthemeasureddataisverysmall.Wemustcalculatetheriseofthesealevelandthetimeunitistenyears.
Becausethegrossmassisinvariablewhentheicemelts,wecandesigntheexpressionasfollowtogettheriseofthesealevel:
Where,
=theamountoficemeltedfortenyears;
=thesurfaceareaoftheSea(
);and
=theriseofthesealevelfortenyears.
Inordertogetthevaluefor
weshouldknowthevalueof
.Wehaveassessedtheareacoveredbyiceandthedensityofice(
).Ifweneedtogainthevalueofthe
theicethicknessateverypointoftheArcticisnecessary.However,thereisnopersontoinvestigatethedatauntil2007[]andit’simpossibleforustoseekthedata.Sowethinktheicethicknessateveryplaceisinvariable.Andweassumethatthetotalmeltingicethicknessfortenyearsisonemeter.Themeltingiceareafortenyearsisobtained:
Where,
=theareacoveredbyiceforthespecialyear;
=theareacoveredbyicefortheyearthedistancebetweenwhichandthespecialyearistenyears,and;
=themeltingiceareafortenyears.
Before,wehavebuiltthefunctionbetweenthepercentagecoveredbyiceandthetime.Sothevalueof
canbegivenwiththepercentagemultiplyingtheareaoftheArctic(
),andwecanalsogainthevalueof
bythesamemethod.Withfitting,therelationbetweentheriseofthesealevelfortenyearsandthetimeisbuilt.Thenwepredicttheriseofthesealevelinthenext50yearspertenyears.
4.2Therelationbetweentheamountoficemeltedandoceansurfacetemperature
Inthefollowingmodels,weusethepercentagecoveredbyiceasatokenoftheamountoficemelted.Inordertofindthepertinencebetweenthepercentagecoveredbyiceandoceansurfacetemperature,weshouldinquireoceansurfacetemperatureeveryyear.Oceansurfacetemperaturedatapacket(AppendixA)isdenotedbyDataE[].Withthesecondcolumnofthearray
and
wedrawaconclusionthattherelationbetweenthepercentagecoveredbyiceandoceansurfacetemperatureisnegativecorrelationwithMATLAB.Andthedegreesofthecorrelationis0.6017.
4.3Therelationbetweenthepercentagecoveredbyiceandthehurricane
Thistheory,asNaturepointsout,isthatthehurricanehasplayedanimportantroleintheriseofoceansurfacetemperature.Thehumanhasconfirmedtherelationbetweenthehurricaneandtheriseofoceansurfacetemperaturefromquantityforthefirsttime.ThescholarsfromUniversityofLondonstudytherelation,andtheNaturepublishestheresult.TheNaturepointsoutthatifoceansurfacetemperatureincreases
℃,thehurricanefrequencywillhaveaincreaseof50%.Thefollowingfigure(Figure6)showstherelationbetweenthehurricaneandtheriseofoceansurfacetemperature.
Figure6Therelationbetweenthehurricaneandtheriseofoceansurfacetemperature
Withthemodel4.2,wemakeaconclusionthattherelationbetweenthepercentagecoveredbyiceandoceansurfacetemperatureisnegativecorrelation.Withthismodel,weknowthattherearesomerelationsbetweenthehurricaneandtheriseofoceansurfacetemperature.Whenicemelts,oceansurfacetemperaturewillincrease.Ifthetemperatureincreases,itwillhaveaneffectonthehurricane.Sotherearesomerelationsbetweenthepercentagecoveredbyiceandthehurricane.Inthemass,whenicemelting,thehumanwillsuffermorehurricanedisaster.
4.4Therelationbetweenthepercentagecoveredbyiceandtheprecipitation
A