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降雨量空间插值方法比较研究 被引量:15

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摘要 对反距离加权法、样条函数法、普通克里格法及协同克里格法等几种常用的降雨空间插值方法的优缺点进行了分析和比较,考虑到高程对降雨量影响较大,在协同克里格法的基础上将高程作为第2类影响因素引入降雨量的空间插值方法中,并提出了引入高程信息的协同克里格法。将4种方法(反距离加权法、样条函数法、普通克里格法及协同克里格法)用于大兴安岭地区降雨量的插值计算,结果表明,考虑高程信息的协同克里格法的插值效果明显优于其他3种方法。
出处 《安徽农业科学》 CAS 2014年第12期3667-3669,共3页 Journal of Anhui Agricultural Sciences
基金 "十二五"国家科技支撑项目(2011BAD08B01) 黑龙江省青年基金(QC2012C102) 黑龙江省普通高校重点实验室项目(KJKF-12-03) 黑龙江省教育厅科学技术研究项目(12511490 12531599)
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参考文献7

  • 1MOHAMED A S.Reliabilty estimation of rainfall-runoff models[D].New York:State University of New York,1999.
  • 2LAMN.Spatial interpolation methods:a review[J].The Amercian Cartographer,1983,10 (2):129-149.
  • 3DIRKS K N,HAY J E,STOW C D,et al.High-resolution studies of rainfall on Norfolk Island.Part0:imerpolation of rainfall data[J].J Hydrol,1998,208(3/4):187-193.
  • 4BORGAM,VIZZACCARO A.On the interpolation of hydrologic variables:formal equivalence of multiquadratic surface fitting and Kriging[J].J Hydrol,1997,195:160-171.
  • 5HEVESI J A,FLINT A L,ISTO J D.Precipitation estimation in mountainous terrain using multivariate geostatistics.part Ⅰ:structuralanalysis[J].J Appl Meteor,1992,31:661-676.
  • 6王家华 高海余 周叶.克里金地质绘图技术[M].北京:石油工业出版社,1999..
  • 7朱会义,贾绍凤.降雨信息空间插值的不确定性分析[J].地理科学进展,2004,23(2):34-42. 被引量:126

二级参考文献14

  • 1Running S.W.,R.R.Nemaini,R.D.Hungerford, Extrapolation of synoptic meteorological data in mountainous terrain and its use simulating forest evapotranspiration rate and photosynthese, Canadian Journal of Forest Research, 1987, 17,472~483.
  • 2Band et. al., Forest ecosystem processes at the watershed scale: basis for distributed simulation, Ecological Modelling,1991, 56, 171-196.
  • 3Lam,N, Spatial Interpolation Methods: A Review, The American Cartographer 1983,10(2):129-149.
  • 4Price D.T.,et.al., A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data,Agricultural and Forest meteorology, 2000, 10(1):81-94.
  • 5Collins F.C. A comparison of spatial interpolation techniques in temperature estimation, http://www.ncgia.ucsb.edu/conf/santa fe cd-rom/sf papers/collins fred/collins.html,1999.
  • 6Husar R.B., Falke S.R., Uncertainty in the spatial interpolation of PM10 monitoring data in Southern California, http://capita.wustl.edu/capit a/capitareports/cainterp/caint erp.html.
  • 7Waters N.M. Unit40-spatial interpolation1,http://www.gisca. adelaide.edu.au/kea/gisrs/ncgia/u40.html, 1999.
  • 8Waters N.M. Unit41-spatial interpolation2, http://www.gisca.adelaide.edu.au/kea/gisrs/ncgia/u41.html, 1999.
  • 9Dubrule, Oliver, Two methods with different objectives: Splines and Kriging, Mathematical Geology, 1983,15(2):245-257.
  • 10Puente, Carlos E., and Rafael L. Bras, Disjunctive Kriging, universal kriging, or no kriging: Small sample results with simulated fields, Mathematical Geology, 1986, 18(3):287-305.

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