%0 Journal Article
%T Comparison of Spatial Interpolation Methods of Precipitation Data in Central Macedonia, Greece
%A Athanasios K. Margaritidis
%J Computational Water, Energy, and Environmental Engineering
%P 13-37
%@ 2168-1570
%D 2024
%I Scientific Research Publishing
%R 10.4236/cweee.2024.131002
%X The purpose of this paper is to investigate the spatial interpolation of
rainfall variability with deterministic and geostatic inspections in the Prefecture
of Kilkis (Greece). The precipitation data where recorded from 12
meteorological stations in the Prefecture of Kilkis for 36 hydrological years
(1973-2008). The cumulative monthly values of rainfall were studied on an
annual and <span style=\"font-family:Verdana;\">seasonal basis as well as during
the arid-dry season. In the deterministic tests, the I.D.W. and R.B.F. checks
were inspected, while in the geostatic tests, Ordinary Kriging and Universal
Kriging respectively. The selection of the opti</span><span style=\"font-family:Verdana;\">mum method was made based
on the least Root Mean Square Error (R.M.S.E.), as well as on the Mean Error
(M.E.), as assessed by the cross validation analysis. The geostatical Kriging
also considered the impact of isotropy and anisotropy across all time periods
of data collection. Moreover, for Universal Kriging, the study explored
spherical, exponential and Gaussian models in various combinations.
Geostatistical techniques consistently demonstrated greater reliability than
deterministic techniques across all time periods of data collection. Specifically,
during the annual period, anisotropy was the prevailing characteristic in
geostatistical techniques. Moreover, the results for the irrigation and
seasonal periods were generally comparable, with few exceptions where isotropic
methods yielded lower (R.M.S.E.) in some seasonal observations.</span>
%K Interpolation
%K Kriging
%K I.D.W.
%K Precipitation
%K Greece
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=130212