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Spatial variability of near-saturated soil hydraulic properties in Moghan plain, North-Western Iran

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Abstract

The spatial variability of the hydraulic properties of near-saturated soil was investigated in Moghan plain, northwestern Iran. To include all types of cultivated crops and examine the effects of the distance, through nested grid design, 212 sites were selected, with a distance interval of 200, 400, and 800 m. Soil samples were collected from 0- to 20-cm depth for determination of selected soil chemical and physical properties in the laboratory. A tension infiltrometer was employed to consecutively measure the unsaturated infiltration at matric suctions (hm) of 2, 5, 10, and 15 cm. The infiltration data was modeled using Wooding’s analytical method, and best-fit values of Gardner’s parameters of saturated hydraulic conductivity (Ks) and macroscopic capillary length (λc) were derived. The data was also modeled using numerical method in DISC software, and the van Genuchten parameters (θs, α, n, and Ks(DISC)) were optimized. The results of the study revealed that Ks(DISC) had the highest coefficient of variation (CV), i.e., 212%, among the hydraulic parameters of the soil; shape parameter n, conversely, had the lowest CV. Once the means of the hydraulic parameters were compared, no significant differences were found in the hydraulic parameters among the cultivated crop types. To map the spatial variability of soil parameters by means of ordinary kriging, a spherical model, chosen based on mean error (ME) values and root-mean-square error (RMSE), was used. Based on the semi-variogram parameters, i.e., range, slope, and nugget to sill ratio, the spatial distribution of soil properties was not consistent in the studied area. The lowest and largest ranges of spatial dependency were 1021 and 4500 m for unsaturated hydraulic conductivities at matric suctions of 15 and 2 cm (K15 and K2), respectively. The spatial dependencies of most variables under investigation were moderate to strong. Overall, the findings of this study put forward the view that the variability of soil hydraulic parameters might be controlled conjointly by variability in intrinsic soil properties, namely, particle size distribution, and bulk density, and several management practices in the plain have paramount importance. Policy makers and farm managers can effectively make use of the maps made in this study to manage their in site-specific irrigation practices.

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References

  • Ankeny MD, Ahmed M, Kaspar TC, Horton R (1991) Simple field method for determining unsaturated hydraulic conductivity. Soil Sci Soc Am J 55:467–470

    Article  Google Scholar 

  • Afshar FA, Ayoubi S, Jalalian A (2010) Soil redistribution rate and its relationship with soil organic carbon and total nitrogen using 137Cs technique in a cultivated complex hillslope in western Iran. J Environ Radioact 101:606–614

    Article  Google Scholar 

  • Aghasi B, Jalalian A, Khademi H, Toomanian N (2017) Sub-basin scale spatial variability of soil properties in Central Iran. Arab J Geosci 10:136. https://doi.org/10.1007/s12517-017-2921-4

    Article  Google Scholar 

  • Alemi MH, Shahriari MR, Nielson MR (1988) Kriging and cokriging of soil water properties. Soil Technol 1:117–132

    Article  Google Scholar 

  • Ayoubi S, Mohammad Zamani S, Khormali F (2007) Spatial variability of some soil properties for site specific farming in northern Iran. Int J Plant Product 1(2):225–236

    Google Scholar 

  • Basaran M, Au O, Erpul G, Canga MR (2006) Spatial variability of organic matter and some soil properties of mineral topsoil in Cankiri Indagi blackpine (Pinus nigra) plantation region. J Appl Sci 6(2):445–452

    Article  Google Scholar 

  • Brejda JJ, Moorman TB, Smith JL, Karlen DL, Allan DL, Dao TH (2000) Distribution and Variability of Surface Soil Properties at a Regional Scale 1 Mention of a specific trade name or product does not necessarily mean the endorsement of the USDA-ARS. Soil Sci Soc Am J 64:974–982

    Article  Google Scholar 

  • Bruckner A, Kandeler E, Kampichler C (1999) Plot-scale spatial patterns of soil water content, pH, substrate-induced respiration and N mineralization in a temperate coniferous forest. Geoderma 93:207–223

    Article  Google Scholar 

  • Burgess TM, Webster R (1980) Optimal interpolation and isarithmic mapping of soil properties: I. The variogram and punctual kriging. J Soil Sci 31:315–331

    Article  Google Scholar 

  • Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field-scale variability of soil properties in Central Iowa soils. Soil Sci Soc Am J 58:1501–1511

    Article  Google Scholar 

  • Dankoub Z, Ayoubi S, Khademi H, Lu SG (2012) Spatial distribution of magnetic properties and selected heavy metals as affected by land use in calcareous soils of the Isfahan region, Central Iran. Pedosphere 22:33–47

    Article  Google Scholar 

  • Dexter AR (2004) Soil physical quality; part I. Theory, effects of soil texture, density, and organic matter, and effects on root growth. Geoderma 120:201–214

    Article  Google Scholar 

  • Gamma Design Software (2004) Geostatistics for the environmental sciences Plainwell

  • Gardner WR (1958) Some steady-state solutions of the unsaturated moisture flow equation with application to evaporation from a water table. Soil Sci 85:228–232

    Article  Google Scholar 

  • Golden Software (2002) Surfer for windows. Version. Golden Software, Inc., Golden, Co, p 8

  • Goovaerts P (1994) Study of spatial relationships between two set of variables using multivariate geostatistics. Geoderma 62:93–107

    Article  Google Scholar 

  • Hosseini Chegini EH (1993). Survey on application of geostatistical methods for estimation of hydraulic conductivity in arid and semiarid regions in south west of Iran. Msc Thesis. Maragheh University, Iran. (In Persian), 177p

  • Hu W, An Shao M, Wang QJ, Fan J, Reichardt K (2008) Spatial variability of soil hydraulic properties on a steep slope in the Loess Plateau of China. Sci Agr (Piracicaba, Braz.) 65:268–276

    Article  Google Scholar 

  • Iqbal J, Thomasson JA, Jenkins JN, Owens PR, Whisler FD (2005) Spatial variability analysis of soil physical properties of alluvial soils. Soil Sci Soc Am J 69:1–14

    Article  Google Scholar 

  • Jafari A, Finke P, Vande Wauw J, Ayoubi S, Khademi H (2012) Spatial prediction of USDA- great soil groups in the arid Zarand region, Iran: comparing logistic regression approaches to predict diagnostic horizons and soil types. Eur J Soil Sci 63:284–298

    Article  Google Scholar 

  • Jafari A, Khademi H, Finke P, Van de Waun J, Ayoubi S (2014) Spatial prediction of soil great groups by boosted regression trees using a limited point dataset in an arid region, southeastern Iran. Geoderma 233-234:148–163

    Article  Google Scholar 

  • Jenny H (1980) The Soil Resource, Origin and Behavior. Springer, New York, NY 377 pp

  • Juang KW, Lee DY (2000) Comparsion of three nonparametric kriging methods for delineating heavy-metal contaminated soils. J Environ Qua 29:197–205

    Article  Google Scholar 

  • Karlen DL, Hurley EG, Andrews SS, Cambardella CA, Meek DW, Duffy MD, Mallarino AP (2006) Crop rotation effects on soil quality at three northern corn/soybean belt locations. Agron J 98:484–495

    Article  Google Scholar 

  • Kelishadi H, Mosaddeghi MR, Hajabbasi MA, Ayoubi S (2014) Near-saturated soil hydraulic properties as influenced by land use management systems in Koohrang region of central Zagros, Iran. Geoderma 213:426–434

    Article  Google Scholar 

  • Kirkham MB (2005) Principles of Soil and Plant Water Relations, 1st ed. Elsevier Academic Press

  • Lamm FR, Manges HL, Stone LR, Khan AH, Rogers DH (1995) Water requirement of subsurface drip-irrigated corn in Northwest Kansas. Trans ASAE 38(2):441–448

    Article  Google Scholar 

  • Li J, Richter DD, Mendoza A, Heine P (2010) Effects of land-use history on soil spatial heterogeneity of macro- and trace elements in the Southern Piedmont USA. Geoderma 156:60–73

    Article  Google Scholar 

  • Lopez-Granados F, Jurado-Exposito M, Atenciano S, Garcia-Ferrer A, De la Orden MS, Garcia-Torres L (2002) Spatial variability of agricultural soil parameters in southern Spain. Plant Soil 246:97–105

    Article  Google Scholar 

  • Mallants D, Mohanty BP, Vervoort A, Feyen J (1997) Spatial analysis of saturated hydraulic conductivity in a soil with macropores. Soil Technol 10:115–131

    Article  Google Scholar 

  • Mashayekhi P, Ghorbani-Dashtaki SH, Mosaddeghi MR, Shirani H, Mohammadi Nodoushan AR (2016) Different scenarios for inverse estimation of soil hydraulic parameters from double-ring infiltrometer data using HYDRUS-2D/3D. Int Agrophys 30(2):203–210

    Article  Google Scholar 

  • Materon G (1963) Principles of geostatistics. Econ Geol 58:1246–1266

  • Miller JJ, Sweetland NJ, Larnry FJ, Volkmar KM (1998) Unsaturated hydraulic conductivity of conventional and conservation tillage soil in southern Alberta. Can J Soil Sci 78:643–648

    Article  Google Scholar 

  • Mohanty BP, Ankeny MD, Horton R, Kanwar RS (1994) Spatial analysis of hydraulic conductivity measured using disc infiltrometers. Water Res Res 30:2489–2498

    Article  Google Scholar 

  • Moosavi AA, Sepaskhah AR (2012) Spatial variability of physico-chemical properties and hydraulic characteristics of a gravelly calcareous soil. Arch Agron Soil Sci 58:631–656

    Article  Google Scholar 

  • Odeh IOA, Mc Bratney AB, Chittleborough DJ (1992) Fuzzy-c means and kriging for mapping soil as continues system. Soil Sci Soc Am J 56:1848–1854

  • Philip JR (1985) Reply to comments on steady infiltration from spherical cavities. Soil Sci Soc Am J 49:788–789

    Article  Google Scholar 

  • Quin TA, Zhang Y (2002) An investigation of spatial variation in soil erosion, soil properties, and crop production within an agricultural field in Devon, United Kingdom. J Soil Water Cons 57:55–65

  • Radcliffe DE, Šimůnek J (2010) Soil physics with HYDRUS: modeling and applications. CRC Press Taylor & Francis Group

  • Rao P, Wagenet R (1985) Spatial Variability of Pesticides in Field Soils: Methods for Data Analysis and Consequences. Weed Sci 33(S2):18–24

  • Reza SK, Baruah U, Sarkar D, Singh SK (2016) Spatial variability of soil properties using geostatistical method: a case study of lower Brahmaputra plains, India. Arab J Geosci 9:446. https://doi.org/10.1007/s12517-016-2474-y

    Article  Google Scholar 

  • Rogers JS, Selim HM, Carter CE, Fouss JL (1991) Variability auger hole hydraulic conductivity values for a commerce silt loam. Trans ASAE 34(3):0876–0882

  • Russo D, Bresler E (1981) Soil hydraulic properties as stochastic processes: I. An analysis of field spatial variability. Soil Sci Soc Am J 45:682–687

    Article  Google Scholar 

  • Šimůnek J, van Genuchten MT (1996) Estimating unsaturated soil hydraulic properties from tension disc infiltrometer data by numerical inversion. Water Resour Res 32:2683–2696

    Article  Google Scholar 

  • Šimůnek J, van Genuchten MTH (2000) The DISC computer software for analyzing tension disc infiltrometer data by parameter estimation. Research report no. 145, version 1.0. US salinity laboratory, USDA-ARS, riverside, CA

  • Van Genuchten MT (1980) A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils. Soil Sci Soc Am J 44:892–898

  • Vasu D, Singh SK, Sahu N, Tiwary P, Chandran P, Duraisami VP, Ramamurthy Lalitha M, Kalaiselvi B (2017) Assessment of spatial variability of soil properties using geospatial techniques for farm level nutrient management. Soil Tillage Res 169:25–34

    Article  Google Scholar 

  • Vieira SR, Paz-Gonzalez A (2003) Analysis of the spatial variability of crop yield and soil properties in small agricultural plots. Bragantia 62(1):127–138

    Article  Google Scholar 

  • Wang Y, Zhang X, Huang C (2009) Spatial variability of soil total nitrogen and soil total phosphorus under different land uses in a small watershed on the Loess Plateau, China. Geoderma 150:141–149

    Article  Google Scholar 

  • Wang J, Yang R, Feng Y (2017) Spatial variability of reconstructed soil properties and the optimization of sampling number for reclaimed land monitoring in an opencast coal mine. Arab J Geosci 10:46. https://doi.org/10.1007/s12517-017-2836-0

    Article  Google Scholar 

  • Warrick AW, Myer DE, Nielsen DR (1986) Geostatistics methods applied to soil science. In: Klute A (ed) Methods of soil analyses part 1: Physical and mineralogical methods. ASA and SSSA, Madison, WI, pp 53–82

  • Webster R, Oliver MA (2007) Geostatistics for environmental scientists, 2nd edn. Wiley, Chichester

    Book  Google Scholar 

  • Wilding LP (1985) Spatial variability: its documentation, accommodation and implication to soil surveys. In: Nielsen DR, Bouma J (eds) Soil spatial variability. Pudoc, Wageningen (The Netherlands), pp 166–194

  • Wooding RA (1968) Steady infiltration from a shallow circular pond. Water Resour Res 4:1259–1273

    Article  Google Scholar 

  • Xie Y, Chen T, Lei M, Yang J, Guo Q, Song B, Zhou X (2011) Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: accuracy and uncertainty analysis. Chemosphere 82:468–476

    Article  Google Scholar 

  • Yamagishi J, Nakamoto T, Richner W (2003) Stability of spatial variability of wheat and maize biomass in a small field managed under two contrasting tillage systems over 3 years. Field Crop Res 81:95–108

    Article  Google Scholar 

  • Zhou X, Lin HS, White EA (2008) Surface soil hydraulic properties in four soil series under different land use and their temporal changes. Catena 73:180–188

    Article  Google Scholar 

  • Zolfaghari Z, Ayoubi S, Mosaddeghi MR (2015) Spatial variability of some soil shrinkage indices in hilly calcareous region of western Iran. Soil Tillage Res 150:180–191

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Soil Science, College of Agriculture, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

    Behnam Azadmard & Elham Chavoshi

  2. Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan, 84156-83111, Iran

    Mohammad Reza Mosaddeghi & Shamsollah Ayoubi

  3. Department of Water Engineering, College of Agriculture, University of Mohaghegh Ardabili, Ardabil, Iran

    Majid Raoof

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  1. Behnam Azadmard
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  2. Mohammad Reza Mosaddeghi
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  3. Shamsollah Ayoubi
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  4. Elham Chavoshi
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  5. Majid Raoof
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Correspondence to Shamsollah Ayoubi.

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Azadmard, B., Mosaddeghi, M.R., Ayoubi, S. et al. Spatial variability of near-saturated soil hydraulic properties in Moghan plain, North-Western Iran. Arab J Geosci 11, 452 (2018). https://doi.org/10.1007/s12517-018-3788-8

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