Effect of different Rosetta Predictive Model on Soil Hydraulic Properties Estimation Using HYDRUS-2D and Effect of Land use changing on their

Document Type : Original Article

Authors

1 - M.Sc. Graduated Department of Water Engineering, University of Mohaghegh Ardabili, Ardabil, Iran

2 Assistant Professor, Department of Water Engineering, University of Mohaghegh Ardabili., Ardabil., Iran

Abstract

Soil hydraulic conductivity and water retention curves are the most important factors that effect on water flow in soil. The aim of this study is investigation the effect of land use changing on soil hydraulic properties. Tension disk infiltrometer was used for measurement of in situ soil hydraulic properties. Infiltration experiments were conducted at 3 land uses (including range, Horticulture and Agriculture lands) in 5 tensions (including 0, 3, 6, 10, 18 cm H2O) and 3 replications for each land uses. Horticulture and Agriculture land use have been created of rang land use changing. Hydraulic conductivity and water retention curves were simulated by inverse method using Hydrus 2D software and 3 model of Rosetta, then compaired with observation data. Results showed, SSC+BD is the best model to predicting hydraulic conductivity curve in all 3 land use. Simulation of water retention curve showed, for all 3 models of Rosetta (including Textural class, SSC and SSC+BD), GMER parameter was less than 1, for therefore, inverse method underestimated the water content. Statistical parameters amount showed, in range land-use textural class model, in horticulture land use SSC model and in agriculture land use SSC+BD model are the best models for simulation retention curve. RMSE and MAE amounts for mentioned land uses and models are 0.055, 0.048 (range land use), 0.046, 0.03 (horticulture land use) and 0.05, 0.041(agriculture land use) respectively.
 

Keywords

References

عباسی، ف. 1386. فیزیک خاک پیشرفته. انتشارات دانشگاه تهران.
Bodhinayake,w.l., Si,b.c., Xiao,c. 2004. New method for determining water-conducting macro- and mesoporosity from tension infiltrometer. Soil Science Society of America Journal.68:760–769.
Bouyoucos,g.j. 1962. Hydrometer method improved for making particle size analysis of soils, Agronomy Journal. 54: 464-465.
Blake, G. R., Hartge, K.H. 1986. Bulk Density. p. 363-375. In: A. Klute Edition. Methods of Soil Analysis Part I: Physical and Mineralogical Methods. 2nd edition. Am. Soc. Agron., Madison, WI.
Canadell,j., Noble,i. 2001. Challenges of a changing Earth.Trends in Ecollogy and Evolution. (Vol. 16) 664–666.
Emiru,n., Gebrekidan, h. 2013. Effect of land use changes and soil depth on soil organic matter, total nitrogen and available phosphorus contents of soils in Senbat watershed, western Ethiopia. ARPN Journal of Agricultural and Biological Science. 3:206-212.
Fakouri,t., Emami,h., Ghahraman,b. 2011. Effect of Different Land Uses on Water Infiltration: Case study in Neyshabour, Khorasan Razavi, Journal of Water Research in Agriculture. 25.2: 195-206.
Flint, A. L., Flint, L.E., 2002b. Porosity (2.3.2.1., calculation from particle and bulk densities). In: Dane, J. H., Topp, G.C. (Eds.), Methods of Soil Analysis: Part 4. Physical Methods. SSSA, Madison, WI, pp. 241–254.
Gol, c. 2009. The effects of land use change on soil properties and organic carbon at Dagdami river catchment in Turkey. Journal of Environmental Biology. 30: 825-830.
Gol,c., Çakir,m., EdiS.s., Yilmaz.h. 2010. The effects of land use/land cover change and demographic processes (1950-2008) on soil properties in the Gökçay catchment,Turkey. African Journal of Agricultural Research. 4.13: 1670-1677.
Korkanc,s.y., Ozyuvaci.n., Hizal,a. 2008. Impacts of land use conversion on soil properties and soil erodibility. Journal of Environmental Biology. 29: 363-370.
Luxmoore,r.j., Jardine,p.m., Wilson,g.v., Jones,j.r., Zelazny,h.k. 1990. Physicals and chemical controls of preferred path flow through a forested hillslope. Geoderma. 46: 139-154.
Marquardt, Donald w. 1963. An algorithm for least squares estimation of nonlinear parameters, Journal of the Society for Industrial and Applied Mathematics, 11.2: 431-441.
 Mlakpour,b., Ahmadi,t., Saideh sodeh,k.m. 2011. The Effects of Land Use Exchange on Physical and Chemical properties of soil, Journal of Sciences and Techniques in Natural Resources.3: 115-126.
Niknahad Gharmakhaer,h., Maramaei,m. 2011. Effects of land use changes on soil properties (Case Study: the Kechik catchment), Journal of Soil Management and Sustainable Production. 1.2: 81-96.
Perroux,k.m., White,i. 1988. Design of disc permeameters. Soil Science Society of America Journal.52:1205-1215.
Raoof,M., Sadraddini,S.S.A., Nazemi,A.H., Maroofi,S. 2011. Effect of Land Slope on Infiltration and Some Physical Properties of Soil, Water and Soil Science. 21.1: 57-68.
Salazar,o., Wesstrom,i., Joel,a. 2008. Evaluation of Drainmod using saturated hydraulic conductivity estimated by a pedotransfer function model. Journal of Agricultural Water Management.95: 1135 – 1143.
Saxton,k.e., Rawls,w.j., Romberger,j.s., Papendick,r.i. 1986. Estimating generalized soil-water characteristics from texture. Soil Science Society of America Journal. 50: 1031-1036.
Simunek,j., Sejna,m., Van Genuchten,m.t. 2006. The HYDRUS software package for simulating two- and three-dimensional movement of water, heat, and multiple solute in variably-saturated media, Technical Manual, version 1.11, PC progress pargue, Czech Republic.
Walkley,a., Black,i.a. 1934. An examination of the Degtjareff method for determining soil organic matter and a proposed modification of the chromic acid titration method, Soil Science.37:29-38.
Wagner,b., Tarnawski,v.r. Hennings., Müller,v., Wessolek,u and Plagge,R. 2001. Evaluation of pedo-transfer functions for unsaturated soil hydraulic conductivity using an independent data set. Geoderma.102:275-297.
 
Iranian Journal of Irrigation & Drainage
Volume 9, Issue 2 - Serial Number 50
May and June 2015
Pages 303-313

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