PDF Download

[1]WANG Cui-ying,YANG Qin-ke,GUO Wei-ling,et al.Selection of the Spatial Interpolation Methods for Precipitation in the Regional Soil Erosion[J].Research of Soil and Water Conservation,2008,15(02):88-91.

Copy

Selection of the Spatial Interpolation Methods for Precipitation in the Regional Soil Erosion

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 15 Number of periods: 2008 02 Page number: 88-91 Column: Public date: 2008-04-20

Title:: Selection of the Spatial Interpolation Methods for Precipitation in the Regional Soil Erosion

Author(s):: WANG Cui-ying^1,2, YANG Qin-ke^1,2, GUO Wei-ling^1,2, YAO Zhi-hong^1,2, LI Wen-feng^1,2; 1. Institute of Soil and Water Conservation, Chinese Academy of Sciences And Ministry of Water Resources, Yangling, Shanxi 712100, China;
2. College of Resources and Environment, Northwestern A & F University, Yangling, Shanxi 712100, China

Keywords:: inverse distance weighted; Universal Kriging; precipitation

CLC:: S157

DOI:: -

Abstract:: Every cell’s climatic information can be used by interpolation method when researching district soil erosion model,it is important to compare the results obtained using alternative methods applied to each data set.In this study,two methods for spatial interpolation of precipitation data were compared using 2003 year six months precipitation from the Yah,an demonstration area was interpolated using inverse distance weighted(IDW) and Universal Kriging methods.Corresponding cross-validation test show that a log-transformation improves the accuracy,by a log-transformation the value of MRE is 8.30% and 7.67% in the methods of IDW and Kriging respectively that is lower 23.17% and 23.50~ than the result of original data.In addition,the method of GIDS can not be used in the study.Universal Kriging method is more accurate in predictions than IDW in this area.

References:: [1] 姚志红,杨勤科,吴吉吉,等.区域尺度降雨径流估算方法研究工:算法设计[J].水土保持研究,2006,13(5):306-308.
[2] 杨勤科,李锐,徐涛,等.区域水土流失过程及其定量描述的初步研究[J].亚热带水土保持,2006,18(2):20-23.
[3] 李海滨,林忠辉,刘苏峡.Kriging方法在区域土壤水分估值中的应用[J].地理研究,2001(9):446-452.
[4] Dubrule O.Two methods with different objectives:Splines and Kriging[J].Mathematical Geology,1983,15(2):245-257.
[5] Nalder I A,Wei R W.Spatial interpolation of climate normahtest of new method in the Canadian boreal forest[J].Agricultural and Forest Meteorology,1998,92:211-225.
[6] 赵登忠,张万昌,刘三超.基于DEM的地理要素PRISM空间内查研究[J].地理科学,2004,24(2):211-225.
[7] 郭艺歌,康玲,王学立.小流域时段降雨量空间差值方法研究[J].中国农村水利水电,2006(2):41-43.
[8] 朱求安,张万昌.新安江模型在汉江江口流域的应用及适应性分析[J].水资源与水工程学报,2004,15(3):19-23.
[9] 李新,程国栋,卢玲.空间内插方法比较[J].地理科学进展,2000,15(3):260-263.
[10] 刘登伟,封志明,杨艳昭.海河流域降水空间插值方法的选取[J].地理信息科学,2006,8(4):75-83.
[11] 秦耀东,李保国.应用析取克里格方法估计区域地下水埋深分布[J].水利学报,1998(8):28-33.
[12] 封志明,杨艳昭,丁晓强,等.气象要素空间插值方法优化[J].地理研究,2004,23(3):357-364.
[13] Amani A,Lebel T.Lagrangian Kriging for the estimation of Sahelian rainfall at small time steps[J].Journal of Hydrology,1997,192:125-157.
[14] Peter M,Chris D.Mapping precipitation in Switzerland with ordinary and indicator Kriging[J].Journal of Geographic Information and Decision Analysis,1998,2(2):65-76.
[15] 林忠辉,莫兴国,高静.中国陆地区域气象要素的空间插值[J].地理学报,2002,57(1):47-56.
[16] Michael F Hutchinson.Interpolation of rainoff data with thin plate smoothing splines-Part 1:two dimensional smootning of data with short range correlation[J].Journal of Geographic Information and Decision Analysis,1998,2(2):139-151.
[17] Genton M G.Analysis of rainfall data by robust spatial statistic using S + SPATIALSTATS[J].Journal of Geographic Information and Decision Analysis,1998,2(2):116-126.
[18] 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.
[19] 汤国安,杨昕.ARCGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006.

Similar References:

Memo

Last Update: 1900-01-01