برآورد پارامترهای مدل‌های فرکتالی و تجربی منحنی نگه‌داشت آب در خاک با استفاده از توابع انتقالی خاکی و طیفی

Aldabaa A.A.A., Weindorf D.C., Chakraborty S., Sharma A., and Li B. 2015. Combination of proximal and remote sensing methods for rapid soil salinity quantification. Geoderma, 239: 34-46.

Amirabedi H., Asghari Sh., Mesri Gandoshmin T., Balandeh N., and Johari E. 2019. Estimating the soil saturated hydraulic conductivity in Ardabil Plain soils using artificial neural networks and regression models. Applied Soil Research, 7(4):124-136. (In Persian)

Arya L.M., and Paris J.F. 1981. A physicoemprical model to predict soil moisture characteristics from particle-size distribution and bulk density data. Soil Science Society of America Journal, 45: 1023-1030.

Babaeian E., Homaee M., Montzka C., Vereecken H., and Norouzi A.A. 2015a. Towards retrieving soil hydraulic properties by hyperspectral remote sensing. Vadose Zone Journal. 14(3): 1-17.

Babaeian E., Homaee M., Vereecken H., Montzka C., Norouzi, A.A., and van Genuchten M.T. 2015b. A comparative study of multiple approaches for predicting the soil–water retention curve: hyperspectral information vs. basic soil properties. Soil Science Society of America Journal, 79: 1043–1058.

Bayat H., Neyshaburi M.R., Mohammadi K., Nariman-Zadeh N., Irannejad M., and Gregory A.S. 2013. Combination of artificial neural network and fractal theory to predict soil water retention curve. Computers and Electronics in Agriculture, 92: 92-103.

Bird N.R.A., Perrier E., and Rieu M. 2000. The water retention function for a model of soil structure with pore and solid fractal distributions. European Journal of Soil Science, 51: 55-63.

Blaschek M., Roudier P., Poggio M., and Hedley C.B. 2019. Prediction of soil available water holding capacity from visible near infrared reflectance spectra. Scientific Reports, 9:12833.

Bouma J. 1989. Using soil survey data for quantitative land evaluation. Advances in soil science, 177-213.

Brooks R.H., and Corey A.T. 1964. Hydraulic properties of porous media. Colorado State University. Hydrology Papers, 3: 1-27

Campbell G.S. 1974. A simple method for determining unsaturated conductivity from moisture retention data. Soil Science, 117: 311-314.

Chang C.W., and Laird D.A. 2002. Near-infrared reflectance spectroscopic analysis of soil C and N. Soil Science, 167(2): 110–116.

Clark R.N., King T.V., Klejwa M., Swayze G.A., and Vergo N. 1990. High spectral resolution reflectance spectroscopy of minerals. Journal of Geophysical Research: Solid Earth, 95(B8): 12653-12680.

Dane J.H., and Topp, C.G. 2002. Methods of Soil Analysis Part 4: Physical Methods. SSSA Book Series. Soil Science Society of America, Madison, WI. 1692p.

Davari M., Karimi S.A., Bahrami H.A., Hossaini M.T., and Fahmideh S. 2021. Simultaneous prediction of several soil properties related to engineering uses based on laboratory Vis-NIR reflectance spectroscopy. Catena, 197, 104987.

Davari M., Zalvaee Z., and Mahmoodi M.A. 2019. A comparison between empirical and fractal models fitted to the measured soil moisture characteristic curve data. Iranian journal of Soil and Water Research, 50(4): 862-847. (In Persian)

Esbensen K.H. 2006. Multivariate Data Analysis. CAMO Software AS. 5th Edition. 589p.

Fahmideh S., Davari M., Mosaddeghi M.R., and Sharifi Z. 2019. Performance evaluation of reflectance spectroscopy for estimation of soil organic carbon content in Zrebar lake watershed, Kurdistan province. Journal of Water and Soil Conservation, 26(6): 59-78. (In Persian)

Fazeli Sangani M., and Pilehvar Shahri A.R. 2013. Estimation of soil water retention curve by using fractal dimension of soil particle size distribution. Watershed Management Research, 26, 2(99): 126-132. (In Persian)

Ghanbarian-Alavijeh B., and Millán H. 2010. Point pedotransfer functions for estimating soil water retention curve. International Agrophysics, 24(3): 243-251.

Ghanbarian-Alavijeh B., Millan H., and Huang G. 2011. A review of fractal, prefractal and pore-solid-fractal models for parameterizing the soil water retention curve. Canadian Journal of Soil Science, 91(1): 1-14.

Gomez C., Lagacherie P., and Coulouma G. 2008. Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements. Geoderma, 148(2): 141–148.

Hamilton L.C. 1990. Modern data analysis. A First Course in Applied Statistics. Brooks/Cole Publishing Co. Pacific Grove, CA, USA. 684p.

Homaee M., and Farrokhian Firouzi A., 2008. Deriving point and parametric pedotransfer functions of some gypsiferous soils. Soil Research, 46(3): 219-227.

Huang G., and Zhang R. 2005. Evaluation of soil water retention curve with the pore–solid fractal model. Geoderma, 127(1): 52-61.

Huang G.H., Zhang, R.D., and Huang Q.Z. 2006. Modeling soil water retention curve with a fractal method. Pedosphere, 16(2): 137-146

Janik L.J., Merry R.H., Forrester S.T., Lanyon D.M., and Rawson A. 2007. Rapid prediction of soil water retention using mid infrared spectroscopy. Soil Science Society of America Journal. 71(2): 507-514.

Kahkhamoghadam P., and Sepaskhah A.R. 2017. Evaluation three fractal model to determine soil water retention curve. Irrigation & Water Engineering, 7(26): 28-45. (In Persian)

Khodaverdiloo H., Homaei M., van Genuchten M. Th., and Ghorbani Dashtaki S. 2011. Deriving and validating pedotransfer functions for some calcareous soils. Journal of Hydrology, 399: 93-99.

Kravchenko A., and Zhang R. 1998. Estimating the soil water retention from particle-size distribution: a Fractal approach. Soil Science, 163(3): 171-179.

Leon L., Allan W., Fylstra D., Lasdon L., Watson J., and Warren A. 1998. Design and use of the Microsoft excel solver, Interfaces (Providence), 28(5): 29-55.

Leone A.P., Leone G., Leone N., Galeone C., Grilli E., Orefice N., and Ancona V. 2019. Capability of diffuse reflectance spectroscopy to predict soil water retention and related soil properties in an irrigated lowland district of southern Italy. Water, 11, 1712.

Liu X., Xu J., Zhang M., Si B., and Zhao K. 2008. Spatial variability of soil available Zn and Cu in paddy rice fields of China. Environmental Geology, 55(7): 1569–1576.

Mertens J., Stenger R. and Barkle G.F. 2006. Multi objective inverse modeling for soil parameter estimation and model verification. Vadose Zone Journal, 5: 917-933.

Minasny B., and McBratney A.B. 2007. Estimating the water retention shape parameter from sand clay content. Soil Science Society of America Journal, 71(4): 1105-1110.

Minasny B., McBratney A.B., and Bristow K.L. 1999. Comparison of different approaches to the development of pedotransfer function for water-retention curves. Geoderma, 93: 225-253.

Ostovari Y., and Beigi Harchegni H. 2013. Pedotransfer functions for estimating soil volumetric moisture content based on soil fractal dimension. Journal of Water and soil, 27(3): 630-641.

Ostovari Y., Faryabi A., and Moosavi A.A. 2017. Assessment and comparison of two sets of pedotransfer functions for prediction of some points of soil moisture characteristic curve. Journal of Water Research in Agriculture, 31(2): 233-243. (In Persian)

Perfect E. 1999. Estimating soil mass fractal dimensions from water retention curves. Geoderma, 88(3): 221-231.

Pinheiro É.F., Ceddia M., Clingensmith C., Grunwald S., and Vasques G. 2017. Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the Central Amazon. Remote Sensing, 9, 293.

Pittaki-Chrysodonta Z., Moldrup P., Knadel M., Iversen B.V., Hermansen C., Greve M. H., and de Jonge L.W. 2018. Predicting the campbell soil water retention function: comparing visible–near‐infrared spectroscopy with classical pedotransfer function. Vadose Zone Journal, 17(1): 1-12.

Rezghi Z., Homaee M., and Noroozi A. 2020. Quantitative estimation of soil texture components using spectroscopy in the visible-near infrared region. Watershed Engineering and Management, 11(4): 1033-1043. (In Persian)

Rieu M., and Sposito G. 1991. Fractal fragmentation, soil porosity, and soil water properties: I. theory. Soil Science Society of America Journal, 55(5): 1231-1238.

Sadikhani M. R. 2019. Prediction of cation exchange capacity using fractal dimension of soil particle size distribution. Applied Soil Research, 7 (2):56-66. (In Persian)

Santra P., Sahoo R.N., Das B.S., Samal R.N., Pattanaik A.K., and Gupta V.K. 2009. Estimation of soil hydraulic properties using proximal spectral reflectance in visible, near-infrared, and shortwave-infrared (VIS–NIR–SWIR) region. Geoderma, 152:338–349.

Schaap M.G., Leij F.J., and. van Genuchten M.Th. 1998. Neural network analysis for hierarchical prediction of soil hydraulic properties. Soil Science Society of America Journal, 62:847–855.

Schneider W.E., and Young R. 1997. Spectroradiometry Methods. In: DeCusatis C. (Ed.), Handbook of Applied Photometry. American Institute of Physics, pp. 239-288.

Shirazi M.A., and Boersma L. 1984. A unifying quantitative analysis of soil texture. Soil Science Society of America Journal, 48: 142-147.

Sparks D.L., Page A.L., Helmke P.A., and Loeppert R.H. 1996. Methods of Soil Analysis Part 3: Chemical methods. SSSA Book Series. Soil Science Society of America, Madison, WI. 1390p.

Stenberg B. 2010. Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon. Geoderma, 158: 15-22.

Su Y.Z., Zhao H.L., Zhao W.Z., and Zhang T.H. 2004. Fractal features of soil particle size distribution and the implication for indicating desertification. Geoderma, 122(1): 43-49.‏

Tranter G., Minasny B., McBratney A.B., Rossel R.A., and Murphy B.W. 2008. Comparing spectral soil inference systems and mid-infrared spectroscopic predictions of soil moisture retention. Soil Science Society of America Journal, 72(5): 1394-1400.

Tyler S.W., and Wheatcraft S.W. 1990. Fractal processes in soil water retention. Water Resources Research, 26: 1047-1054.

Van den Berg M., Klamt E., Van Reeuwijk L.P., and Sombroek W.G. 1997. Pedotransfer functions for the estimation of moisture retention characteristics of Ferralsols and related soils. Geoderma, 78(3-4): 161-180.

Van Genuchten M.T. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44(5): 892-898.

ViewSpec ProTM User Manual, 2008. ASD Document 600555 Rev.A, Boulder, CO 80301.

Viscarra Rossel R.V., Cattle S.R., Ortega A., and Fouad Y. 2009. In situ measurements of soil color, mineral composition and clay content by vis–NIR spectroscopy. Geoderma, 150(3–4): 253–266.

Viscarra Rossel R., McGlynn R., and McBratney A. 2006. Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy. Geoderma, 137: 70-82.

Wosten J.H.M., Pachepsky Y.A., and Rawls W.J. 2001. Pedotransfer function: bridging the gap between available basic soil data and missing soil hydraulic characteristics. Journal of Hydrolology, 251: 123-150.

Zhang Z., Ding J., Wang J., and Ge X. 2020. Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices. Catena, 185, 104257.