Lissage par ligne brisee pour l'interpolation de series de donnees incorporant une variable explicative avec des observations plus denses: application a l'humidite du sol et aux precipitations

被引:0
作者
Malamos, Nikolaos [1 ]
Koutsoyiannis, Demetris [2 ]
机构
[1] Technol Educ Inst Western Greece, Dept Agr Technol, Amaliada, Greece
[2] Natl Tech Univ Athens, Sch Civil Engn, Dept Water Resources & Environm Engn, Zografos, Greece
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2015年 / 60卷 / 03期
关键词
rainfall; hydraulic conductivity; interpolation; explanatory variable; generalized cross-validation (GCV); broken line smoothing; MULTIVARIATE GEOSTATISTICS; CROSS-VALIDATION; CONDUCTIVITY;
D O I
10.1080/02626667.2014.899703
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Broken line smoothing is a simple technique for smoothing a broken line fit to observational data and provides a flexible means of interpolation. Here an extension of this technique is proposed, which can be utilized to perform various interpolation tasks, by incorporating, in an objective manner, an explanatory variable available at a considerably denser dataset than the initial main variable. The technique incorporates smoothing terms with adjustable weights, defined by means of the angles formed by the consecutive segments of two broken lines. The mathematical framework and details of the method as well as practical aspects of its application are presented and discussed. Also, examples using both synthesized and real-world (soil water dynamics and hydrological) data are presented to explore and illustrate the methodology. [GRAPHICS] Editor Z.W. Kundzewicz; Associate editor A. Carsteanu
引用
收藏
页码:468 / 481
页数:14
相关论文
共 22 条
[1]  
[Anonymous], 1986, STAT DATA ANAL GEOLO
[2]  
[Anonymous], REV SPATIAL INTERPOL
[3]   Simulation of Soil Moisture Profiles Using K(h) from Coupling Experimental Retention Curves and One-Step Outflow Data [J].
Argyrokastritis, I. ;
Kargas, G. ;
Kerkides, P. .
WATER RESOURCES MANAGEMENT, 2009, 23 (15) :3255-3266
[4]  
Brooks RH., 1964, Hydraulic Properties of Porous Media
[5]  
Burrough P.A., 2000, Principles of Geographic Information Systems
[6]  
Christofides A., 1995, 18 NAT TECHN U ATH D
[7]   SMOOTHING NOISY DATA WITH SPLINE FUNCTIONS [J].
WAHBA, G .
NUMERISCHE MATHEMATIK, 1975, 24 (05) :383-393
[8]   Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall [J].
Goovaerts, P .
JOURNAL OF HYDROLOGY, 2000, 228 (1-2) :113-129
[9]  
Goovaerts P., 1997, GEOSTATISTICS NATURA
[10]   About regression-kriging: From equations to case studies [J].
Hengl, Tomislav ;
Heuvelink, Gerard B. M. ;
Rossiter, David G. .
COMPUTERS & GEOSCIENCES, 2007, 33 (10) :1301-1315