Eurasian Journal of Soil Science

Volume 6, Issue 4, Sep 2017, Pages 327-336
DOI: 10.18393/ejss.311210
Stable URL: http://ejss.fess.org/10.18393/ejss.311210
Copyright © 2017 The authors and Federation of Eurasian Soil Science Societies



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

X

Article first published online: 09 May 2017 | How to cite | Additional Information (Show All)

Author information | Publication information | Export Citiation (Plain Text | BibTeX | EndNote | RefMan)

CLASSICAL | APA | MLA | TURABIAN | IEEE | ISO 690

Abstract | References | Article (XML) | Article (HTML) | PDF | 68 | 194

Mousavi,S., Sarmadian,F., Dehghani,S., Sadikhani,M., Taati,A., 2017. Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain. Eurasian J Soil Sci 6(4):327-336. DOI : 10.18393/ejss.311210
Mousavi,S.,Sarmadian,F.Dehghani,S.Sadikhani,M.,& Taati,A. Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain Eurasian Journal of Soil Science, 6(4):327-336. DOI : 10.18393/ejss.311210
Mousavi,S.,Sarmadian,F.Dehghani,S.Sadikhani,M., and ,Taati,A."Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain" Eurasian Journal of Soil Science, 6.4 (2017):327-336. DOI : 10.18393/ejss.311210
Mousavi,S.,Sarmadian,F.Dehghani,S.Sadikhani,M., and ,Taati,A. "Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain" Eurasian Journal of Soil Science,6(Sep 2017):327-336 DOI : 10.18393/ejss.311210
SR,Mousavi.F,Sarmadian.S,Dehghani.MR,Sadikhani.A,Taati "Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain" Eurasian J. Soil Sci, vol.6, no.4, pp.327-336 (Sep 2017), DOI : 10.18393/ejss.311210
Mousavi,Sayed ;Sarmadian,Feraidon ;Dehghani,Somayeh ;Sadikhani,Mahmood ;Taati,Abass Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain. Eurasian Journal of Soil Science, (2017),6.4:327-336. DOI : 10.18393/ejss.311210

How to cite

Mousavi, S., R. Sarmadian, F., R. Dehghani, S., R. Sadikhani, M., R. Taati, A., R.2017. Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain. Eurasian J. Soil Sci. 6(4): 327-336. DOI : 10.18393/ejss.311210

Author information

Sayed Mousavi , Laboratory of Remote Sensing and GIS, Department of Science and Soil Engineering, University of Tehran, Karaj, Iran Karaj, Iran
Feraidon Sarmadian , Laboratory of Remote Sensing and GIS, Department of Science and Soil Engineering, University of Tehran, Karaj, Iran
Somayeh Dehghani , Soil Science Department, College of Agriculture, Shahrkord University, Chaharmahal Bakhtiari, Iran
Mahmood Sadikhani , Soil Science Department, College of Agriculture, Lorestan University, Lorestan, Iran
Abass Taati , Soil Science Department, College of Agriculture, Shahrkord University, Chaharmahal Bakhtiari, Iran

Publication information

Article first published online : 09 May 2017
Manuscript Accepted : 03 May 2017
Manuscript Received: 30 Dec 2016
DOI: 10.18393/ejss.311210
Stable URL: http://ejss.fesss.org/10.18393/ejss.311210

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

Corresponding author

References

Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54(5): 464–465.

Cambardella, C.A., Moorman, T.B., Parkin, T.B., Karlen, D.L., Novak, J.M., Turco, R.F., Konopka, A.E., 1994. Field-scale variability of soil properties in central Iowa soils. Soil Science Society American Journal 58(5): 1501-1511. doi:

Castrignanò, A. Giugliarini, L., Risaliti, R., Martinelli, N., 2000. Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics. Geoderma 97(1-2): 39-60.

Gallichand, J., Buckland, G.D., Marcotte, D., Hendry, M.J., 1992. Spatial interpolation of soil salinity and sodicity for a saline soil in southern Alberta. Canadian Journal of Soil Science 72(4): 503-516.

Heisel, T., Ersbøll, A.K., Andreasen, C., 1992. Weed mapping with co-kriging using soil properties. Precision Agriculture 1(1): 39-52.

Klute, A., Dirksen, C., 1986. Hydraulic conductivity and diffusivity: Laboratory methods. In:  Method of Soil Analysis. Part 1 Physical and Mineralogical Methods. Klute, A. (Ed.). Agronomy Monograph No. 9, American Society of Agronomy – Soil Science Society of America, Madison, WI, USA. pp. 687-734.

Kravchenko, A.N., 2003. Influence of spatial structure on accuracy of interpolation methods. Soil Science Society of America Journal 67(5): 1564-1571.

Kravchenko, A., Bullock, D.G., 1999. A comparative study of interpolation methods for mapping soil properties. Agronomy Journal 91(3): 393-400.

Laslett, G., McBrathey, A.B, Phal, P.J., Hutchinson, M.F., 1987. Comparison of several spatial prediction methods for soil pH. European Journal of Soil Science 38(2): 325-341.

Li, J., Heap, A. D., 2008. A Review of Spatial Interpolation Methods for Environmental Scientists. Geoscience Australia Record 2008/23. 137 pp.

Lin, H., Wheeler, D., Bell, J., Wilding, L., 2004. Assessment of soil spatial variability at multiple scales. Ecological Modelling 182(3-4): 271-290.

López-Granados, F., Jurado-Expósito, M., Atenciano, S., García-Ferrer, A., de la Orden, M.S, García-Torres, L.,2002. Spatial variability of agricultural soil parameters in southern Spain. Plant and Soil 246(1): 97-105.

Mishra, U., Lal. R., Liu, D., Van Meirvenne, M., 2010. Predicting the spatial variation of the soil organic carbon pool at a regional scale. Soil Science Society American Journal 74(3): 906-914.

Mohammadi, J., 2006. Spatial statistics (Geo statistics - part 2). Pelk Publication Tehran, Iran. 453p. [in Persian].

Mohammadzamani, S., Ayubi, S.H., Khormali, F., 2007. Studying variations of soil properties and wheat yield in some farmlands of Sorkhankalateh, Golestan Province. Agricultural and Natural Resources Sciences and Techniques 11(40): 79-91. [in Persian]

Moustafa, M.M., Yomota, A., 1998. Spatial modeling of soil properties for subsurface drainage projects. Journal of Irrigation and Drainage Engineering 124(4): 218-228.

Nelson, D.W., Sommers, L.E., 1982. Total carbon, organic carbon and organic matter. In: Methods of Soil Analyses Part 2 Chemical and Microbiological Properties, Page, A.L. (Ed.). Second Edition, Agronomy Number 9, American Society of Agronomy – Soil Science Society of America, Madison, WI, USA. pp. 539-580.

Oji, E., Kamali A., Esfandiarpoor E., HosseiniFard, S. J., 2012. Studying salinity spatial variations in different depths of soil of pistachio gardens in Hurmuz Abad region of Rafsanjan. The 12th Iranian Soil Sciences Congress. University of Tabriz. 3-5 September 2012, Tabriz, Iran. 

Pang, S., Li, T.X., Zhang, X.F., Wang, Y.D., Yu, H.Y., 2011.Spatial variability of cropland lead and its influencing factors: A case study in Shuangliu county, Sichuan province, China. Geoderma 162(3-4): 223-230.

Pansu, M., Gautheyrou J., 2006. Handbook of soil analysis: Mineralogical, organic and inorganic methods. Springer, 993p.

Reza, S. Sarkar, D., Daruah U., Das, T.H., 2010. Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some chemical parameters of Dhalai district, Tripura. Agropedology 20(1): 38-48.

Richards, L.A. 1954. Diagnosis and improvement of saline and alkali soils. . 160 p.

Robinson, T.P., Metternicht, G., 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers and Electronics in Agriculture 50(2): 97-108.

Rosemary, F., Vitharana, U.W.A., Indraratne, S.P., Weerasooriya, R., Mishra, U.,  2017. Exploring the spatial variability of soil properties in an Alfisol soil catena. Catena 150: 53-61.

Shakoori Katigari, M. Shabanpoor, M., Asadi, H., Davatgar, N., Babazadeh, S.H., 2011. Evaluating efficiency of the interpolation methods in zoning of organic carbon and bulk density of rice field of Guilan. Water and Soil Protection Research Journal 18(2): 195-210. [in Persian]

Smith, J.L., Halvorson, J.J., 2011. Field scale studies on the spatial variability of soil quality indicators in Washington state, USA. Applied and Environmental Soil Science Volume 2011, Article ID 198737. 

Soil and Water Research Institute, 1989. Guide for classification of lands for irrigation. Publication No. 205, Technical Publication No. 766, Agriculture and Natural Resources Organization. Ministry of Agriculture. 91p.

Thomas, G.W. 1996. Soil pH and soil acidity. In: Methods of Soil Analysis. Part 3 Chemical Methods. Sparks, D.L. (Ed.). Soil Science Society of America Agronomy Book Series 5.3, Madison, WI, USA. pp. 475-490.

Wakernagel, H., 2003. Multivariate Geostatistics: An Introduction with Applications. Springer, 257p.

Wilding, L.P., 1985. Spatial variability: Its documentation, accommodation, and implication to soil survey. In: Soil Spatial Variability. Nielsen, D.R., Bouma, J., (Eds.). Pudoc Publisher, Wageningen, The Netherlands. pp. 166-194.

Wilding, L.P., Bouma, J., Goss, D., 1994. Impact of spatial variability on modeling. In: Quantitative modeling of soil forming processes. Bryant, R. Hoosbeek, M.R., (Eds.). Soil Science Society of America Special Publication No. 39, Madison, WI, USA. pp. 61-75.

Yang, F. Zhang, G., Yin, X., Liu, Z., 2011. Field-scale spatial variation of saline-sodic soil and its relation with environmental factors in western Songnen plain of China. International Journal of Environmental Research and Public Health 8(2): 374-387.

Zare-Mehrjardi, M., Taghizadeh-Mehrjardi R., Akbarzadeh, A., 2010. Evaluation of geostatistical techniques for mapping spatial distribution of soil pH, salinity and plant cover affected by environmental factors in Southern Iran. Notulae Scientia Biologicae 2(4): 92–103.

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.

References

Bouyoucos, G.J., 1962. Hydrometer method improved for making particle size analysis of soils. Agronomy Journal 54(5): 464–465.

Cambardella, C.A., Moorman, T.B., Parkin, T.B., Karlen, D.L., Novak, J.M., Turco, R.F., Konopka, A.E., 1994. Field-scale variability of soil properties in central Iowa soils. Soil Science Society American Journal 58(5): 1501-1511. doi:

Castrignanò, A. Giugliarini, L., Risaliti, R., Martinelli, N., 2000. Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics. Geoderma 97(1-2): 39-60.

Gallichand, J., Buckland, G.D., Marcotte, D., Hendry, M.J., 1992. Spatial interpolation of soil salinity and sodicity for a saline soil in southern Alberta. Canadian Journal of Soil Science 72(4): 503-516.

Heisel, T., Ersbøll, A.K., Andreasen, C., 1992. Weed mapping with co-kriging using soil properties. Precision Agriculture 1(1): 39-52.

Klute, A., Dirksen, C., 1986. Hydraulic conductivity and diffusivity: Laboratory methods. In:  Method of Soil Analysis. Part 1 Physical and Mineralogical Methods. Klute, A. (Ed.). Agronomy Monograph No. 9, American Society of Agronomy – Soil Science Society of America, Madison, WI, USA. pp. 687-734.

Kravchenko, A.N., 2003. Influence of spatial structure on accuracy of interpolation methods. Soil Science Society of America Journal 67(5): 1564-1571.

Kravchenko, A., Bullock, D.G., 1999. A comparative study of interpolation methods for mapping soil properties. Agronomy Journal 91(3): 393-400.

Laslett, G., McBrathey, A.B, Phal, P.J., Hutchinson, M.F., 1987. Comparison of several spatial prediction methods for soil pH. European Journal of Soil Science 38(2): 325-341.

Li, J., Heap, A. D., 2008. A Review of Spatial Interpolation Methods for Environmental Scientists. Geoscience Australia Record 2008/23. 137 pp.

Lin, H., Wheeler, D., Bell, J., Wilding, L., 2004. Assessment of soil spatial variability at multiple scales. Ecological Modelling 182(3-4): 271-290.

López-Granados, F., Jurado-Expósito, M., Atenciano, S., García-Ferrer, A., de la Orden, M.S, García-Torres, L.,2002. Spatial variability of agricultural soil parameters in southern Spain. Plant and Soil 246(1): 97-105.

Mishra, U., Lal. R., Liu, D., Van Meirvenne, M., 2010. Predicting the spatial variation of the soil organic carbon pool at a regional scale. Soil Science Society American Journal 74(3): 906-914.

Mohammadi, J., 2006. Spatial statistics (Geo statistics - part 2). Pelk Publication Tehran, Iran. 453p. [in Persian].

Mohammadzamani, S., Ayubi, S.H., Khormali, F., 2007. Studying variations of soil properties and wheat yield in some farmlands of Sorkhankalateh, Golestan Province. Agricultural and Natural Resources Sciences and Techniques 11(40): 79-91. [in Persian]

Moustafa, M.M., Yomota, A., 1998. Spatial modeling of soil properties for subsurface drainage projects. Journal of Irrigation and Drainage Engineering 124(4): 218-228.

Nelson, D.W., Sommers, L.E., 1982. Total carbon, organic carbon and organic matter. In: Methods of Soil Analyses Part 2 Chemical and Microbiological Properties, Page, A.L. (Ed.). Second Edition, Agronomy Number 9, American Society of Agronomy – Soil Science Society of America, Madison, WI, USA. pp. 539-580.

Oji, E., Kamali A., Esfandiarpoor E., HosseiniFard, S. J., 2012. Studying salinity spatial variations in different depths of soil of pistachio gardens in Hurmuz Abad region of Rafsanjan. The 12th Iranian Soil Sciences Congress. University of Tabriz. 3-5 September 2012, Tabriz, Iran. 

Pang, S., Li, T.X., Zhang, X.F., Wang, Y.D., Yu, H.Y., 2011.Spatial variability of cropland lead and its influencing factors: A case study in Shuangliu county, Sichuan province, China. Geoderma 162(3-4): 223-230.

Pansu, M., Gautheyrou J., 2006. Handbook of soil analysis: Mineralogical, organic and inorganic methods. Springer, 993p.

Reza, S. Sarkar, D., Daruah U., Das, T.H., 2010. Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some chemical parameters of Dhalai district, Tripura. Agropedology 20(1): 38-48.

Richards, L.A. 1954. Diagnosis and improvement of saline and alkali soils. . 160 p.

Robinson, T.P., Metternicht, G., 2006. Testing the performance of spatial interpolation techniques for mapping soil properties. Computers and Electronics in Agriculture 50(2): 97-108.

Rosemary, F., Vitharana, U.W.A., Indraratne, S.P., Weerasooriya, R., Mishra, U.,  2017. Exploring the spatial variability of soil properties in an Alfisol soil catena. Catena 150: 53-61.

Shakoori Katigari, M. Shabanpoor, M., Asadi, H., Davatgar, N., Babazadeh, S.H., 2011. Evaluating efficiency of the interpolation methods in zoning of organic carbon and bulk density of rice field of Guilan. Water and Soil Protection Research Journal 18(2): 195-210. [in Persian]

Smith, J.L., Halvorson, J.J., 2011. Field scale studies on the spatial variability of soil quality indicators in Washington state, USA. Applied and Environmental Soil Science Volume 2011, Article ID 198737. 

Soil and Water Research Institute, 1989. Guide for classification of lands for irrigation. Publication No. 205, Technical Publication No. 766, Agriculture and Natural Resources Organization. Ministry of Agriculture. 91p.

Thomas, G.W. 1996. Soil pH and soil acidity. In: Methods of Soil Analysis. Part 3 Chemical Methods. Sparks, D.L. (Ed.). Soil Science Society of America Agronomy Book Series 5.3, Madison, WI, USA. pp. 475-490.

Wakernagel, H., 2003. Multivariate Geostatistics: An Introduction with Applications. Springer, 257p.

Wilding, L.P., 1985. Spatial variability: Its documentation, accommodation, and implication to soil survey. In: Soil Spatial Variability. Nielsen, D.R., Bouma, J., (Eds.). Pudoc Publisher, Wageningen, The Netherlands. pp. 166-194.

Wilding, L.P., Bouma, J., Goss, D., 1994. Impact of spatial variability on modeling. In: Quantitative modeling of soil forming processes. Bryant, R. Hoosbeek, M.R., (Eds.). Soil Science Society of America Special Publication No. 39, Madison, WI, USA. pp. 61-75.

Yang, F. Zhang, G., Yin, X., Liu, Z., 2011. Field-scale spatial variation of saline-sodic soil and its relation with environmental factors in western Songnen plain of China. International Journal of Environmental Research and Public Health 8(2): 374-387.

Zare-Mehrjardi, M., Taghizadeh-Mehrjardi R., Akbarzadeh, A., 2010. Evaluation of geostatistical techniques for mapping spatial distribution of soil pH, salinity and plant cover affected by environmental factors in Southern Iran. Notulae Scientia Biologicae 2(4): 92–103.



Eurasian Journal of Soil Science