Simulation of Organic Matter Variability on a Sugarbeet Field Using the Computer Based Geostatistical Methods
Yükleniyor...
Dosyalar
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Computer based geostatistical methods can offer effective data analysis possibilities for agricultural areas by using vectorial data and their objective informations. These methods will help to detect the spatial changes on different locations of the large agricultural lands, which will lead to effective fertilization for optimal yield with reduced environmental pollution. In this study, topsoil (0-20 cm) and subsoil (20-40 cm) samples were taken from a sugar beet field by 20 × 20 m grids. Plant samples were also collected from the same plots. Some physical and chemical analyses for these samples were made by routine methods. According to derived variation coefficients, topsoil organic matter (OM) distribution was more than subsoil OM distribution. The highest C.V. value of 17.79% was found for topsoil OM. The data were analyzed comparatively according to kriging methods which are also used widely in geostatistic. Several interpolation methods (Ordinary, Simple and Universal) and semivariogram models (Spherical, Exponential and Gaussian) were tested in order to choose the suitable methods. Average standard deviations of values estimated by simple kriging interpolation method were less than average standard deviations (topsoil OM ± 0.48, N ± 0.37, subsoil OM ± 0.18) of measured values. The most suitable interpolation method was simple kriging method and exponantial semivariogram model for topsoil, whereas the best optimal interpolation method was simple kriging method and spherical semivariogram model for subsoil. The results also showed that these computer based geostatistical methods should be tested and calibrated for different experimental conditions and semivariogram models.
Açıklama
Anahtar Kelimeler
Geostatistic, Kriging, Organic matter, Sugarbeet
Kaynak
World Academy of Science, Engineering and Technology
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
3
Sayı
8
Künye
Karkacıer, O., Yaprak, S., Er, F., Susam, T., Karaman, M. R., (2009). Simulation of Organic Matter Variability on a Sugarbeet Field Using the Computer Based Geostatistical Methods. World Academy of Science Engineering and Technology, 3(8), 254-257.
