116
Views
1
CrossRef citations to date
0
Altmetric
Articles

GIS-based digital modeling of soil infiltration in calcareous soils

, , &
Pages 1590-1601 | Received 09 Aug 2019, Accepted 24 Jun 2020, Published online: 12 Jul 2020

References

  • Cressie, N. 1993. Statistics for spatial data. New York: John Wiley & Sons.
  • Datye, V. S., and S. C. Gupte. 1984. Association between agricultural land use and physico-socio-economic phenomena: A multivariate approach. Transactions of the Institute of Indian. Geographers 6 (2):61–72.
  • Eastman, J. R., and M. Fulk. 1993. Long sequence time series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing 59 (8):1307–12.
  • Fensholt, R., and I. Sandholt. 2003. Derivation of a shortwave infrared water stress index from MODIS near-and shortwave infrared data in a semiarid environment. Remote Sensing and Environment 87:111–21. doi:10.1016/j.rse.2003.07.002.
  • Fu, Z., Z. Li, C. Zai, Z. Shi, Q. Xu, and X. Wang. 2011. Soil thickness effect on hydrological and erosion characteristics under sloping lands: A hydropedological perspective. Geoderma 167-168:41–53. doi:10.1016/j.geoderma.2011.08.013.
  • Gee, G. W., and J. W. Bauder. 1986. Particle size analysis. In Methods of soil analysis: Part 1 agronomy handbook no 9, ed. A. Klute, 383–411. Madison, WI: American Society of Agronomy and Soil Science Society of America.
  • Ghorbani Dashtaki, S., M. Homaee, M. H. Mahdian, and M. Kouchakzadeh. 2009. Site dependence performance of infiltration models. Water Resource Management 23::1573–1650. doi:10.1007/s11269-009-9408-3.
  • Ghorbani-Dashtaki, S., M. Homaee, and W. Loiskandl. 2016. Towards using pedotransfer functions for estimating infiltration parameters. Hydrological Sciences Journal 61 (8):1477–88. doi:10.1080/02626667.2015.1031763.
  • Hagan, M. T., H. B. Demuth, and M. H. Beale. 1996. Neural network design. Boston, MA: PWS.
  • Havaee, S., M. R. Mosaddeghi, and S. Ayoubi. 2015. In situ surface shear strength as affected by soil characteristics and land use in calcareous soils of central Iran. Geoderma 237-238:137–48. doi:10.1016/j.geoderma.2014.08.016.
  • Hillel, D. 2003. Environmental soil physics. New York: Academic Press.
  • Ho, R. 2006. Handbook of univariate and multivariate data analysis and interpretation with SPSS. Boca Raton, FL: CRC Press.
  • Khalilmoghadam, B., M. Afyuni, K. C. Abbaspour, A. Jalalian, A. A. Dehghani, and R. Schulin. 2009. Estimation of surface shear strength in Zagros region of Iran – A comparison of artificial neural networks and multiple-linear regression models. Geoderma 153:29–36. doi:10.1016/j.geoderma.2009.07.008.
  • Mackay, D. J. C. 1992. Bayesian interpolation. Neural Computation 4(3):415–47. doi:10.1162/neco.1992.4.3.415.
  • Minasny, B., and A. B. McBratney. 2002a. The Neuro-m method for fitting neural network parametric pedo-transfer functions. Soil Science Society of America Journal 66:352–61. doi:10.2136/sssaj2002.0352.
  • Minasny, B., and A. B. McBratney. 2002b. Evaluation and development of hydraulic conductivity pedotransfer functions for Australian soil. Australian Journal of Soil Research 38:905–26. doi:10.1071/SR99110.
  • Minasny, B., A. B. McBratney, G. Tranter, and B. W. Murphy. 2008. Using soil knowledge for the evaluation of mid-infrared diffuse reflectance spectroscopy for predicting soil physical and mechanical properties. European Journal of Soil Science 59:960–97. doi:10.1111/j.1365-2389.2008.01058.x.
  • Mirzaee, S., and S. Ghorbani-Dashtaki. 2018. Deriving and evaluating hydraulics and detachment models of rill erosion for some calcareous soils. Catena 164:107–15. doi:10.1016/j.catena.2018.01.016.
  • Mirzaee, S., S. Ghorbani-Dashtaki, F. Mohammadi Asadzadeh, and R. Kerry. 2017. Modeling WEPP erodibility parameters in calcareous soils in northwest Iran. Ecological Indicators 74:302–10. doi:10.1016/j.ecolind.2016.11.040.
  • Mirzaee, S., S. Ghorbani-Dashtaki, J. Mohammadi, H. Asadi, and F. Asadzadeh. 2016. Spatial variability of soil organic matter using remote sensing data. Catena 145:118–27. doi:10.1016/j.catena.2016.05.023.
  • Mirzaee, S., A. A. Zolfaghari, M. Gorji, M. Dyck, and S. Ghorbani Dashtaki. 2014. Evaluation of infiltration models with different numbers of fitting parameters in different soil texture classes. Archives of Agronomy and Soil Science 60 (5):681–93. doi:10.1080/03650340.2013.823477.
  • Nelson, D. W., and L. P. Sommers. 1986. Total carbon, organic carbon and organic matter. In Methods of soil analysis: Part 2: Agronomy handbook no 9, ed. A. L. Page, 539–79. Madison, WI: American Society of Agronomy and Soil Science Society of America.
  • Ostovari, Y., S. Ghorbani-Dashtaki, H. A. Bahrami, M. Naderi, and J. A. M. Dematte. 2017. Soil loss prediction by an integrated system using RUSLE, GIS and remote sensing in semi-arid region. Geoderma Regional 11:28–36. doi:10.1016/j.geodrs.2017.06.003.
  • Ostovari, Y., S. Ghorbani-Dashtaki, H. A. Bahrami, M. Naderi, J. A. M. Dematte, and R. Kerry. 2016. Modification of the USLE K factor for soil erodibility assessment on calcareous soils in Iran. Geomorphology 273:385–95. doi:10.1016/j.geomorph.2016.08.003.
  • Ostovari, Y., A. Honarbakhsh, H. Sangoony, F. Zolfaghari, K. Maleki, and B. Ingram. 2019. GIS and multi-criteria decision-making analysis assessment of land suitability for rapeseed farming in calcareous soils of semi-arid regions. Ecological Indicators 103:479–87. doi:10.1016/j.ecolind.2019.04.051.
  • Parchami-Araghi, F., M. Mirlatifi, S. Ghorbani Dashtaki, and M. H. Mahdian. 2013. Point estimation of soil water infiltration process using artificial neural networks for some calcareous soils. Journal of Hydrology 481:35–47. doi:10.1016/j.jhydrol.2012.12.007.
  • Philip, J. R. 1957. The theory of infiltration: 1. The infiltration equation and its solution. Soil Science 83:345–57. doi:10.1097/00010694-195705000-00002.
  • Shirazi, M. A., and L. Boersma. 1984. A unifying quantitative analysis of soil texture. Soil Science Society of America Journal 48:142–47. doi:10.2136/sssaj1984.03615995004800010026x.
  • The Math Works. 2009. MATLAB1 7.0; Packaged software for technical computing, Release 14. Natick (MA): The Math Works.
  • Unit Geo Software Development. 2001. ILWIS 3.3 Academic user’s guide. Enschede: ITC.
  • US Department of Agriculture Natural Resources and Conservation Service. 2005. National engineering handbook, Part 623, surface irrigation. Washington, DC: National Technical Information Service. (Chapter 4).
  • USDA. 2010. Keys to soil taxonomy. 11th ed. Washington, DC: USDA National Resources Conservation Service.
  • Wilson, J. P., and J. C. Gallant. 2000. Secondary topographic parameters Terrain analysis: Principles and applications. New York: John Wiley & Sons.
  • Xin, Z. B., Q. Yunbin, and Y. Xinxiao. 2015. Spatial variability in soil organic carbon and its influencing factors in a hilly watershed of the Loess Plateau, China. Catena 137:660–69. doi:10.1016/j.catena.2015.01.028.
  • Xu, C., X. Xu, M. Liu, W. Liu, J. Yang, W. Luo, R. Zhang, and G. Kiely. 2017. Enhancing pedotransfer functions (PTFs) using soil spectral reflectance data for estimating saturated hydraulic conductivity in southwestern China. Catena 158:350–56. doi:10.1016/j.catena.2017.07.014.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.