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[1]HE Yan,FU De-ping,ZHAO Zhi-min,et al.Analysis of Spatial Interpolation Methods to Precipitation Based on GIS in Xinjiang[J].Research of Soil and Water Conservation,2008,15(06):35-37.

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Analysis of Spatial Interpolation Methods to Precipitation Based on GIS in Xinjiang

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 15 Number of periods: 2008 06 Page number: 35-37 Column: Public date: 2008-12-20

Title:: Analysis of Spatial Interpolation Methods to Precipitation Based on GIS in Xinjiang

Author(s):: HE Yan^1,2,3, FU De-ping^1,2,3, ZHAO Zhi-min¹, SU Jing¹, LÜ Guang-hui^1,2,3; 1. College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China;
2. Xinjiang Key Laboratory of Oasis Ecology, Urumqi 830046, China;
3. International Center for Desert Affairs-Research for Sustainable Development in Semi-Arid and Arid Land, Urumqi 830046, China

Keywords:: spatial interpolation; precipitation; geo-statistical; Xinjiang

CLC:: P426.6

DOI:: -

Abstract:: With the increasing needs for spatial precipitation information,spatial interpolation method of precipi-tation is widely used.Different precipitation interpolation methods for different study areas and study aims will have different results.Taking daily average precipitation data from 1957 to 2000 of country basic stations in Xinjiang,using the geo-statistical model of ArcGIS to investigation spatial interpolation is carried.The result show that the two methods have their good and bad aspect respectively.Further,the result of Kriging method is more perfect in the whole analysis,but the IDW method is better in the partial analysis.

References:: [1] 朱会义,贾绍凤.降水信息空间插值的不确定行分析[J].地理科学进展,2004,23(2):34-39.
[2] 梁天刚,沈正虎,等.集水区径流资源空间变化的模拟和分析[J].兰州大学学报:自然科学版,1999,35(4):83-89.
[3] 何红艳,郭志华,肖文发,等.利用GIS和多变量分析估算青藏高原月降水[J].生态学报,2005,25(11):2934-2938.
[4] 孟庆香,刘国彬,杨勤科.黄土高原降水量的空间插值方法研究[J].西北农林科技大学学报:自然科学版,2006,34(3):83-88.
[5] 林忠辉,莫兴国,李宏轩.中国陆地区域气象要素的空问插值[J].地理学报,2002,57(1):47-56.
[6] Vicente S M,SazSánchez M A,Cuadrat J M.Comparative analysis of interpolation methods in the middle Ebro Valley(Spain):application to annual precipitation and temperature[J].Climate Research,2003,24(2):161-180.
[7] Daly C,Gibson W P,Taylo r G H,et al Acknowledge-based approach to the statistical mapping of climate[J].Climate Research,2002,22:99-113.
[8] Zhou S Q,Xue G Y,Gong P.The SIA method for spatial analysis of precipitation in the upper-middle reaches of the Yangtze River[J].Sciences,2005,15(2):223-238.
[9] Goovaerts P G.Approcaces for incorporating elevation into the spatial interpolation of rainfall[J].Journal of Hydrology,2000,228:1113-1291.
[10] Lloyd C D.Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain[J].Journal of Hydrology,2005,308:128-150.
[11] Lam N.Spatial interpolation methods a view[J].The American Cartgrapher,2003,10(2):29-49.
[12] 侯景儒,黄竟先.地质统计学的理论与方法[M].北京:地质出版社,1990:69-78.
[13] Price D T.A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data[J].Agricultural and Forest Meteorology,2000,101:81-94.
[14] 朱芮芮,李兰,王浩,等.降水量的空间变异性和比较研究[J].中国农村水利水电,2004,25(4):25-27.
[15] 王丽,李畅游,刘廷玺.湖泊底泥营养参数的空间估值[J].农业环境科学学报,2006,25(3):772-775.

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