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黄土高原年均温的空间插值方法研究 被引量:11

Research on Spatial Interpolation Methods of Annual Average Temperature on Loess Plateau
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摘要 在地统计学和地理信息系统支持下,采用多种插值方法对黄土高原年均温进行空间插值研究。结果表明:地统计学方法优于传统的反距离加权插值、多项式插值和径向基函数插值方法;而考虑高程影响的简单协克里金方法优于一般的克里金方法和普通协克里金方法。通过空间插值得到了黄土高原年均温分布图,由年均温分布图可知,黄土高原年均温总体呈现西北低、东南高的态势,界限很明显;黄土高原7.00—14.00℃面积占整个区域面积的85%,其中年均温7.00~10.00℃的较温暖地区占总面积的54.63%,年均温10.00~14.00℃占总面积的30.71%。因此,黄土高原气候以半湿润-半干旱气候为主,适宜农牧业发展。 Based on the geostatistical method and GIS, several interpolation methods were used to estimate the annual average temperature on Loess Plateau. Of several interpolation methods, the Kriging method was better than the reverse distance weighting method, polynomial interpolation method and radial basis functions method. In consideration of great influences of the elevation information, Co- Kriging method was better than Kriging, and simple Co ' Kriging was the best. The trend of annual average temperature on southeast Loess Plateau was much than that of northwest, the ambit was clear. The annual average temperature of 7. 00 - 14.00℃ was taken 85% of the whole area, and the anmlal average temperature of 7.00 - 10.00℃ was taken 54.63% of the whole area, the annual average temperature of 10.00 - 14.00℃ was taken 30.71% of the whole area, so the climate of Loess Plateau was suitable for agriculture and Animal Husbandry.
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2009年第3期83-87,共5页 Journal of Arid Land Resources and Environment
基金 国家自然科学基金重点项目"黄土高原生态恢复的环境效应及评价(90502007) "中科院科学院西部行动计划项目"黄土高原水土保持与可持续生态建设试验示范研究(KZCX2-XB2-05) "河南农业大学博士项目"黄土高原生态环境质量综合评价及其演变调控机制(30200241)"资助
关键词 黄土高原 年均温 插值 克里金方法 协克里金方法 Loess plateau annual average temperature spatial interpolation Kriging Co - Kriging
作者简介 孟庆香(1977-),女,河南新乡人,博士,讲师,主要从事水土资源与生态环境评价研究。E—mail:qxmeng@126.com 通讯作者:刘国彬(1958-),男,陕西榆林人,研究员,博士生导师,主要从事水土保持与流域管理研究。
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参考文献13

  • 1Mohamed A S. Reliabihy 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, Hayl E, Stow C D, et al. High -resolution studies of rainfall on Norfolk Island. Part Ⅱ :interpolation of rainfall data [ J ]. J Hydrol, 1998,208 (3,4) : 187 - 193.
  • 4Borga M, Vizzaccaro A. On the interpolation of hydrologic variables : formal equivalence of multiquadratic surface fitting and Kriging [ J ]. J Hydrol, 1997,195( 1 -4) :160 - 171.
  • 5国科学院水利部水土保持研究所.黄土高原水土保持数据库[EB/OL].[05-08-20],http://www.loess.csdb.cn/.
  • 6党安荣,贾海峰,易善桢,等.AreGIS 8 Desktop地理信息系统应用指南[M].北京:清华大学出版社,2005,1-9.
  • 7Hevesi J A, Flint A L, Isto J D. Precipitation estimation in mountainous terrain using multivariate geostatisties, part Ⅰ:structural analysis [ J ]. J. Appl. Meteor. , 1992,31:661 - 676.
  • 8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
  • 9任朝霞,杨达源.近50a西北干旱区气候变化对农业的影响[J].干旱区资源与环境,2007,21(8):48-53. 被引量:54
  • 10石朋,芮孝芳.降雨空间插值方法的比较与改进[J].河海大学学报(自然科学版),2005,33(4):361-365. 被引量:101

二级参考文献70

  • 1马柱国,符淙斌,任小波,杨赤.中国北方年极端温度的变化趋势与区域增暖的联系[J].地理学报,2003,58(z1):11-20. 被引量:183
  • 2李恩羊,袁新.作物需水量的最优估计[J].水利学报,1989,21(10):45-49. 被引量:19
  • 3Running 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.
  • 4Band et. al., Forest ecosystem processes at the watershed scale: basis for distributed simulation, Ecological Modelling,1991, 56, 171-196.
  • 5Lam,N, Spatial Interpolation Methods: A Review, The American Cartographer 1983,10(2):129-149.
  • 6Price 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.
  • 7Collins 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.
  • 8Husar 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.
  • 9Waters N.M. Unit40-spatial interpolation1,http://www.gisca. adelaide.edu.au/kea/gisrs/ncgia/u40.html, 1999.
  • 10Waters N.M. Unit41-spatial interpolation2, http://www.gisca.adelaide.edu.au/kea/gisrs/ncgia/u41.html, 1999.

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