DIGITAL MAPPING OF APPARENT ELECTRICAL CONDUCTIVITY USING REGRESSION KRIGING AND LOCAL VARIOGRAM IN ARDAKAN REGION

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TAGHIZADEH MEHRJARDI R.; SARMADIAN F.; ROUSTA M.J.; RAHIMIAN M.H.; OMID M.; TOOMANIAN N.

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Journal: Journal of Soil Management and Sustainable Production Year:2015 | Volume:4 | Issue:4 Page(s): 1-29

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Title

DIGITAL MAPPING OF APPARENT ELECTRICAL CONDUCTIVITY USING REGRESSION KRIGING AND LOCAL VARIOGRAM IN ARDAKAN REGION

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Keywords

ELECTROMAGNETIC INDUCTIONQ2

DIGITAL SOIL MAPPINGQ1

REGRESSION TREEQ2

Abstract

Converting point data to continuous one is the first step in order to use them in scorpan flowchart. For this purpose, different geostatistic methods are available which at present research regression kriging with local variogram, kriging and co-kriging was applied. For mapping apparent electrical conductivity at the area covering 72000ha located in Ardakan region, 700 readings in horizontal and vertical modes were carried out by ELECTROMAGNETIC INDUCTION. Auxiliary data used in this study to represent predictive soil forming factors were terrain attributes, Landsat 7 ETM+ data and a geomorphologic surfaces map. At first, the relationship between independent variables (i.e. auxiliary data) and dependent variable (i.e. apparent electrical conductivity) was calculated by REGRESSION TREE. Then, the residuals, derived from REGRESSION TREE, were mapped by using kriging with local variogram. Finally, the residual and ECa maps were aggregated in order to produce the final maps. Results showed some auxiliary variables had more influence on predictive apparent electrical conductivity model which included: wetness index, geomorphology map and the first principal component analysis. Also, results showed that model predicted ECah with determination of coefficient, root mean square error and mean error were 0.48, 29.64 and -2.23, respectively. This founding confirmed that regression kriging with local variogram had high performance; however, RK decreases the error of prediction in comparison with OK and CK up to 21% and 28%. Thus, using of regression kriging with local variogram for digital mapping of soil properties in future studies is suggested.

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APA: Copy

TAGHIZADEH MEHRJARDI, R., SARMADIAN, F., ROUSTA, M.J., RAHIMIAN, M.H., OMID, M., & TOOMANIAN, N.. (2015). DIGITAL MAPPING OF APPARENT ELECTRICAL CONDUCTIVITY USING REGRESSION KRIGING AND LOCAL VARIOGRAM IN ARDAKAN REGION. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, 4(4), 1-29. SID. https://sid.ir/paper/209874/en

Vancouver: Copy

TAGHIZADEH MEHRJARDI R., SARMADIAN F., ROUSTA M.J., RAHIMIAN M.H., OMID M., TOOMANIAN N.. DIGITAL MAPPING OF APPARENT ELECTRICAL CONDUCTIVITY USING REGRESSION KRIGING AND LOCAL VARIOGRAM IN ARDAKAN REGION. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION[Internet]. 2015;4(4):1-29. Available from: https://sid.ir/paper/209874/en

IEEE: Copy

R. TAGHIZADEH MEHRJARDI, F. SARMADIAN, M.J. ROUSTA, M.H. RAHIMIAN, M. OMID, and N. TOOMANIAN, “DIGITAL MAPPING OF APPARENT ELECTRICAL CONDUCTIVITY USING REGRESSION KRIGING AND LOCAL VARIOGRAM IN ARDAKAN REGION,” ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, vol. 4, no. 4, pp. 1–29, 2015, [Online]. Available: https://sid.ir/paper/209874/en

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