基于ArcGIS的降水量空间插值方法研究

35320123GEOMATICS＆SPATIALINFORMATIONTECHNOLOGYVol．35No．3Mar．20122011－03－111986－。ArcGIS410083、、。。P208A1672－5867201203－0123－04ResearchonRainfallSpatialInterpolationMethodsBasedonArcGISKONGLing－naXIANGNan－pingSchoolofGeosciencesandInfo－PhysicsCentralSouthUniversityChangsha410083ChinaAbstractAtpresenttherearemanyrainfallspatialinterpolationmethods．Co－KriginginterpolationmethodswhichconsidermonthlyaveragedtotalcloudamountareputforwardtopointagainstthefaultofInverseDistanceWeightedinterpolationSplineinterpolationandOrdinaryKriginginterpolation．TherainfalldatainNeimengguisadoptedintheexperiment．TheexperimentalresultsshowthatCo－KriginginterpolationissuperiortoothersintheprecisionandIOA．KeywordsrainfallspatialinterpolationmonthlyaveragedtotalcloudamountCo－Kriginginterpolation0、。。。。。。InverseDistanceWeightedIDW、Spline、OrdinaryKrigingCo－Kriging。。11．1。Zs0=∑Ni=1d－pizsi∑Ni=1d－pi1Ndis0sizsisip。。p。1．2。Z=∑Ni=1Aidilogdi+a+bx+cy2Aidilogdia+bx+cyAiabcxy。。1．31．3．1。。。。。。。1．3．2。。。1．3．33。。3。Z0=∑ni=1αixi+∑mi=1βiyi3Z00x1…xnny1…ymmα1…αnβ1…βm。。。mzmxm=12…mrijx+hx=12Ezix+h－zixzjx+h－zjx=12Ezix+hzjx+h+zixzjx－zix+hzjx－zixzjx+h=12Cij0+Cij0－Cijh－Cij－h=Cij0－12Cijh+Cij－h4Cij*E。。。。1rh=0h=0c·32ha－12()ha[]3h≤ac{h＞a5cah。3cah。2rh=c·exp()ha=c·1－exp－3h()[]a63rh=c·1－exp－3h2a()[]274rh=c·hω822．11971～2000。261971～2000。19。1。2．2ArcGIS9．2、、1971～20001971～200042120124。1。1Tab．1ThebasicsituationoftheweatherstationofthesectionareasinNeimenggu/m/m121．68°50．48°732．6111．68°40．82°1063119．93°47．17°997．2104．8°40．17°1323．9122．27°43．6°178．7114°41．9°1482．7116．12°43．95°1003111．97°43．65°964．7118．93°42．27°568121．92°48．77°739．7abcd14Fig．1Thespatialinterpolationresultsofthefourinterpolations’methodstotheannualprecipitationofthesectionareasinNeimenggu1aPower=2．52831bParameter=1．16731cmodeltypeexponential1dmodeltypeexponential。14。1a“”。1b1d1b1d。1c1d。19。2。23。2．3MeanEr-ror、RootMeanSquareError、IOA3。24Fig．2Thecontrastoftheinterpolationresultsofthefourinterpolations’methodstotheaveragemonthlyprecipitationofZhurihestation。、。1。242。5213ArcGIS24Tab．2Theinterpolationresultsofthefourinterpolations’methodstotheaveragemonthlyprecipitationIDWIDWIDW1－0．2335－0．0627－0．04220．0183912．3812．7112．338．6610．1110．110．180．5372－0．21180．0694－0．1792－0．00751313．4213．149．202－0．079－0．086－0．0440．4130．45050．45740．0438－0．032824．7225．824．0524．06－0．156－0．198－0．096－0．0944－2．301－0．61080．3956－0．087639．0738．7135．6734．580．2870．3120．410．46356．8812．9040．29920．765377．2973．170．1966．80．2020．3070．3410．42467．388．1276．0026．821113．9102．188．8893．630．6530．7350．7990．821728．5129．8418．620．73232．2144．7202．2187．20．4670．7550．5810．6098－0．83412．837．2597．286210．7195．9193．5172．30．1190．2940．3440．3519－1．1541．7580．37582．022100．692．8493．685．40．2860．3690．3120．436100．26331．0851．2530．10944．8344．4942．0639．050．2050．1810．3040．31111．6520．80660．22140．223418．0818．6616．8214．860．130．160．2530．33812－0．2957－0．0334－0．6482－0．338814．2515．8218．579．7320．6210．3660．4250．7252、、3。。1～410～11。34、。3。1．ArcGISM．2006．2．M．2001．3．J．2005334363－365．4．———J．2006422204－207．5．D．2009．6．J．201041109－12．7．J．200823477－80．8．1961～2000J．2006151109－114．1224ADS40Fig．4ADS40imagepointdistribution6．491m5DEM。2．2．3DEMDEM5Fig．5Leftandrightpiecemapofpoints1CIPSDEM、DEM、。1306212012