Soil water content interpolation using spatio-temporal kriging with external drift

被引:128
作者
Snepvangers, JJJC [1 ]
Heuvelink, GBM [1 ]
Huisman, JA [1 ]
机构
[1] Univ Amsterdam, Ctr Geoecol Res, ICG, IBED, NL-1018 WV Amsterdam, Netherlands
关键词
geostatistics; space-time interpolation; soil hydrology;
D O I
10.1016/S0016-7061(02)00310-5
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
In this study, two techniques for spatio-temporal (ST) kriging of soil water content are compared. The first technique, spatio-temporal ordinary kriging, is the simplest of the two, and uses only information about soil water content. The second technique, spatio-temporal kriging with external drift, uses also the relationship between soil water content and net-precipitation to aid the interpolation. It is shown that the behaviour of the soil water content predictions is physically more realistic when using spatio-temporal kriging with external drift. Also, the prediction uncertainties are slightly smaller. The data used in this study consist of Time Domain Reflectometry (TDR) measurements from a 30-day irrigation experiment on a 60 x 60-m grassland in the Netherlands. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:253 / 271
页数:19
相关论文
共 32 条
[1]   Semi-parametric statistical approaches for space-time process prediction [J].
Angulo, JM ;
González-Manteiga, W ;
Febrero-Bande, M ;
Alonso, FJ .
ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 1998, 5 (04) :297-316
[2]   Modelling, interpolation and stochastic simulation in space and time of global solar radiation [J].
Bechini, L ;
Ducco, G ;
Donatelli, M ;
Stein, A .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2000, 81 (01) :29-42
[3]   Space-time modeling of water table depth using a regionalized time series model and the Kalman filter [J].
Bierkens, MFP ;
Knotters, M ;
Hoogland, T .
WATER RESOURCES RESEARCH, 2001, 37 (05) :1277-1290
[5]   Spatiotemporal analysis and processing of thermometric data over Belgium [J].
Bogaert, P ;
Christakos, G .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D22) :25831-25846
[6]   Stochastic analysis of spatiotemporal solute content measurements using a regression model [J].
Bogaert, P ;
Christakos, G .
STOCHASTIC HYDROLOGY AND HYDRAULICS, 1997, 11 (04) :267-295
[7]   Comparison of kriging techniques in a space-time context [J].
Bogaert, P .
MATHEMATICAL GEOLOGY, 1996, 28 (01) :73-86
[8]  
BUXTON BE, 1996, GEOSTATISTICS WOLLON, P150
[9]   A composite space/time approach to studying ozone distribution over Eastern United States [J].
Christakos, G ;
Vyas, VM .
ATMOSPHERIC ENVIRONMENT, 1998, 32 (16) :2845-2857
[10]   An interior trust region approach for nonlinear minimization subject to bounds [J].
Coleman, TF ;
Li, YY .
SIAM JOURNAL ON OPTIMIZATION, 1996, 6 (02) :418-445