Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain

Year 2017, Volume: 6 Issue: 4, 327 - 336, 01.10.2017

Sayed Roholla Mousavi Feraidon Sarmadian Somayeh Dehghani Mahmood Reza Sadikhani Abass Taati

https://doi.org/10.18393/ejss.311210

Cited By: 6

Abstract

Today, the presence of accurate information about
variability of soil properties been considered more than ever to apply this
information in economic modeling, environmental predictions, accurate farming
and natural resources management. The present research was conducted in some
lands of Qazvin plain to study variability of some chemical and physical
properties of soil by sampling 62 observational points in depth of 20 cm above
soil surface. Initial statistical study of data indicated that the studied
properties follow normal distribution in the region. Spatial variations of the
studied properties showed that spherical model was the best fitted model to semivariogramin other properties than silt percent and
bulk densityand total porosity. The highest radius for the studied
properties was 21100 m related to bulk density,
total porosity and electric conductivity and pH.
Spatial dependence class was observed medium to strong in all physcial and
chemcial properties. To validate intrapolation methods, three indices of
evaluation, R², MBE, MAE which indicate accuracy of each of
the intrapolation methods were used and results showed that the studied
properties had spatial structure, their impact range had good variability and kriging estimator better can
show variability of the studied properties in the region in comparison to IDW
method. At the end, considering the best interpolation method, spatial
variability map of each of the properties was prepared in ArcGIS
software.

Keywords

IDW method, kriging estimator, physcial and chemcial properties, Qazvin plain, spatial variability

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