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IJSTR >> Volume 4 - Issue 10, October 2015 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Influence Of Multimodality Soil On Their Hydrodynamic Behavior: Case Of Soils Of The Unsaturated Zone Of Allada Plateau

[Full Text]



Soclo W. P., Igue A. M., Mwenge Kahinda J., Boukari M., Agbossou K. E



Keywords: Soils of the unsaturated zone in the tropics, modality, parameters and hydrodynamic model, USDA textural triangle, Benin



Summary: The derivative function f of the cumulative particle-size distribution curve of certain soils has two (02) local maxima (two modes) in weight percentage for the particle-size ranges of sand and clay (one in the range of clays and the other in the range of sands). Are referred to as bimodal soils, soils with a particle-size distribution function F having two (02) inflection points, the first in the range of clays and the second in the range of sands. Such soils are already part of multiporous soils that have multimodal behavior. Haverkamp and Reggiani (2002), have established for soils whose particle-size have a monomodal behavior a shape similarity between the cumulative particle-size distribution curve and the water retention curve h (θ). A soil whose particle-size distribution has two modes (bimodal distribution of soil particle-size) usually poses enormous difficulties to soil physicists. Indeed, this character, when already achieves two in soil (bimodal soils), results in nine (09) unknown for the same water retention curve model with mathematical-physical basic, making it very difficult if not impossible to determine hydrodynamic parameters. So, monomadal soils facilitate the study of water transfers in the soil. The hydrodynamic models are available for these types of soils and involve more than 4 unknowns. And with the initial and boundary conditions, they allow the indeterminations up without difficulty. Now the work of Tomasella and Hodnett (1998; 2000; 2002) appears to link the modal character of the soil to climate zones to which they belong. They have come to say that the monomodal soils are specific to temperate regions and bimodal soils are specific to tropical or subtropical regions. The objective of the study is to test the hypothesis of bimodality for the case of soils of the unsaturated zone of Allada plateau located in the intertropical zone and to confirm the applicability of Brooks and Corey (1964) and van Genuchten (1980) models considered in this study and which are only valid on monomodal soils. The analysis according to USDA classification of the main soils of the study area namely haplic Acrisols, umbric Fluvisols and ferric Acrisols and their representation according to the soil textural triangle with an associated bimodal zone revealed 66 % of monomodal soils and 34% of bimodal soils in the study area. The comparative analysis of results with those of similar studies of the european databases and the Maheshwaram watershed in South India (subtropical) and the Ouémé watershed (subhumid) in Benin (De Condappa, 2006; Giertz and Diekkrüger, 2003), has validated mainly monomodal soils, especially within the B horizons. Which invalidates the hypothesis of Tomasella and Hodnett for this zone and confirms the validity of hydrodynamic models mentioned in the context of this study.



[1] Agossou, V. 1977. A perimeter Study soil for irrigated citrus crop (Bétérou). Project Agro-pedology. Directorate of Technical and Scientific Research of Benin, Cotonou, Benin.

[2] Arya, L.M., and J.F. Paris. 1981. A physicoemperical model to predict the soil moisture characteristic from particle-size distribution and bulk-density data. Soil Sci. Soc. Am. J. 45:1023–1030.

[3] Alle CSUY, 2014. Analysis of the climate change management by corn producers on the set of Allada in South Benin. PhD Thesis, University of Abomey Calavi (Benin).

[4] Bittelli, M., G.S. Campbell, and M. Flury. 1999. Characterization of particle size distribution in soils with a fragmentation model. Soil Sci. Soc. Am. J. 63:782–788.

[5] Bouma, J., and J.A.J. van Lanen. 1987. Transfer functions and threshold values: from soil characteristics to land qualities. p. 106–110. In K.J. Beek et al. (ed.) Quantified land evaluation. ITC Publ., Enschede, the Netherlands.

[6] Brooks, R.H., and A.T. Corey. 1964. Hydraulic properties of porous media. Hydrol. Pap. 3. Colorado State Univ., Fort Collins

[7] Buchan, G.D. 1989. Applicability of the simple lognormal model to particle size distribution in soils. Soil Sci. 147:155–161.

[8] Boukari M, 1998. Operation of the aquifer system used for water supply of the city of Cotonou in Benin coast. Urban development impact on the quality of resources. PhD Thesis, University Cheikh Anta Diop of Dakar (Senegal).

[9] Buol, S.W., R.J. Southard, R.C. Graham, and P.A. McDaniel. 2003. Soil genesis and classification. 5th ed. Blackwell Publ., Ames, IA.

[10] Clapp, R.B., and G.M. Hornberger. 1978. Empirical equations for some soil hydraulic properties. Water Resour. Res. 14:601–604.

[11] Cosby, B.J., G.M. Hornberger, R.B. Clapp, and T.R. Ginn. 1984. A statistical exploration of the relationship of soil moisture characteristics to the physical properties of soils. Water Resour. Res. 20:682–690.

[12] De CONDAPPA, 2005. Study of the water flow through the Non-Saturated Zone of bedrock aquifers in the spatial scale of the watershed. Application to the evaluation of recharge within the watershed Maheshwaram, Andhra Pradesh, India. PhD thesis, University Joseph Fourier.

[13] De CONDAPPA, D ; Galle, S; Dewandel, B ; Haverkamp, R .2006. Bimodal zone of the soil textural triangle: common in tropical and subtropical regions. Soil Sci. Soc. Am. J. 72:33-40.

[14] Dewandel, B., P. Lachassagne, R. Wyns, J.C. Maréchal, and N.S. Krishnamurthy.2006. A generalized 3-D geological and hydrogeological conceptual model of granite aquifers controlled by single or multiphase weathering. J. Hydrol.330:260–284.

[15] DURNER, W. (1994). Hydraulic conductivity estimation for soils with heterogeneous pore structure. Water Resources Research, 30:211–223.

[16] Fanning, D.S., and M.C.B. Fanning. 1989. Soil: Morphology, genesis, and classification. John Wiley & Sons, Hoboken, NJ.

[17] Faure, P. 1977. Soil Map of the recognition of Benin People's Republic 1/200 000. Sheet Djougou. ORSTOM, Paris.

[18] Faure, P., and B. Volkoff. 1998. Some factors affecting regional differentiation of the soils in the Republic of Benin (West Africa). Catena 32:281–306. FAO-UNESCO, 1974. Soil Map of the World 1:5 000 000, Vol.IV, Africa, UNESCO, Paris.

[19] FAO-UNESCO, 1990. Soil Map of the World : Revised Legend. Reprinted, FAO, UNESCO, ISRIC, Rome, 119 pp.

[20] Giertz, S., and B. Diekkrüger. 2003. Analysis of the hydrological processes in a small headwater catchment in Benin (West Africa). Phys. Chem. Earth 28:1333–1341.

[21] Haverkamp, R., and J.-Y. Parlange. 1986. Predicting the water-retention curve from particle-size distribution: 1. Sandy soils without organic matter. Soil Sci. 142:325–339.

[22] Haverkamp, R., Zammit, C., Bouraoui, F., Rajkai, K., Arrue, J. L. et Heckmann, N. (1998).GRIZZLY, Grenoble catalogue of soils : survey of soil field data and description of particle-size, soil water retention and hydraulic conductivity functions. Technical report, Study of Transfers in Hydrology and Environment Laboratory, Grenoble Cedex 9, France.

[23] Haverkamp, R., and P. Reggiani. 2002. Physically based water retention prediction models. p. 762–777. In J.H. Dane and G.C. Topp (ed.) Methods of soil analysis. Part 4. SSSA Book Ser. 5. SSSA, Madison, WI.

[24] Hodnett, M.G., and J. Tomasella. 2002. Marked differences between van Genuchten soil water-retention parameters for temperate and tropical soils: A new water-retention pedo-transfer functions developed for tropical soils. Geoderma 108:155–180.

[25] Igue, AM 1991. Soil Study of the breeding farm of Okpara. Report no. 294. National Centre for Agro-Pedology (CENAP), Cotonou, Benin. Jarvis, NJ, L. Zavattaro, K. Rajkai, WD Reynolds, P.-A. Olsen, M. McGechan,

[26] M. Mecke, B. Mohanty, P.B. Leeds-Harrison, and D. Jacques. 2002. Indirect estimation of near-saturated hydraulic conductivity from readily available soil information. Geoderma 108:1–17.

[27] Legros, J. P., and G. Pedro. 1983. Relative importance of dissolution and fragmentation processes (chemical) during weathering and soil formation in cold temperate zones. Approach by computer simulation. p. 85-97. In Nahon and Y. Noack D. (ed.) Petrology of alterations and sols.Vol. 1. Geological Sciences Memoires, Strasbourg, France.

[28] Leij, F.J., W.J. Alves, M.Th. van Genuchten, and J.R. Williams. 1996. The UNSODA unsaturated soil hydraulic database. Rep. EPA/600/R-96/095. Natl. Risk Manage. Res. Lab., Cincinnati, OH.

[29] Nemes, A., M.G. Schaap, F.J. Leij, and J.H.M. Wösten. 2001. Description of the unsaturated soil hydraulic database UNSODA Version 2.0. J.Hydrol. 251:151–162.

[30] Nemes, A., J.H.M. Wösten, A. Lilly, and J.H. Oude Voshaar. 1999. Evaluation of different procedures to interpolate particle-size distributions to achieve compatibility within soil databases. Geoderma 90:187–202.

[31] Nimmo, J.R. 1997. Modeling structural influences on soil water retention. Soil Sci. Soc. Am. J. 61:712–719.

[32] Rawls, W.J., and D.L. Brakensiek. 1989. Estimation of soil retention and hydraulic properties. p. 275–300. In H.J. Morel-Seytoux (ed.)
[33] Unsaturated flow in hydrologic modeling: Theory and practice. NATO Sci. Ser. C. Kluwer Acad. Publ., Boston.

[34] Redelsberger, JL, A. Diedhiou, C. Flamant, S. Janicot, JP Lafore, T. Lebel et al. 2006. AMMA, a multidisciplinary study of the West African monsoon. Meteorology 54: 22-32.
[35] ROSS, P. J. et SMETTEM, K. R. J. (1993). Describing soil hydraulic properties with sums of simple functions. Soil Science Society of America Journal, 57:26–29.

[36] M Slansky, 1959. Contribution to the geological survey of the coastal sedimentary basin of Dahomey and Togo. Th. Univ. Nancy.

[37] Schaap, M.G., F.J. Leij, and M.Th. van Genuchten. 1998. Neural network analysis for hierarchical prediction of soil hydraulic properties. Soil SciSoc. Am. J. 62:847–855.

[38] Shiozawa, S., and G.S. Campbell. 1991. On the calculation of mean particle diameter and standard deviation from sand, silt, and clay fractions. Soil Sci. 152:427–431.

[39] Šimůnek, J., N.J. Jarvis, M.Th. van Genuchten, and A. Gärdenäs. 2003. Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. J. Hydrol. 122:14–35.

[40] Skaggs, T.H., L.M. Arya, P.J. Shouse, and B.P. Mohanty. 2001. Estimating particle-size distribution from limited soil texture data. Soil Sci. Soc. Am. J. 65:1038–1044.

[41] Soil Survey Staff. 1960. A comprehensive system of soil classification, 7th approximation. U.S. Gov. Print. Office, Washington, DC.

[42] Tardy, Y. 1971. Characterization of the principal weathering types by the geochemistry of waters from some European and African crystalline massifs. Chem. Geol. 7:253–271.

[43] Tomasella, J., and M.G. Hodnett. 1998. Estimating soil water retention characteristics from limited data in Brazilian Amazonia. Soil Sci. 163:190–202.

[44] Tomasella, J., M.G. Hodnett, and L. Rossato. 2000. Pedotransfer functions for the estimation of soil retention in Brazilian soils. Soil Sci. Soc. Am.J. 64:327–338.

[45] van Genuchten, M.Th. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44:892–898.

[46] Vereecken, H., J. Maes, J. Feyen, and P. Darius. 1989. Estimating the soil moisture retention characteristic from texture, bulk density, and carbon content. Soil Sci. 148:389–403.

[47] WÖSTEN, J. H. M., LILLY, A., NEMES, A. et BAS, C. L. (1999). Development and use of a database of hydraulic properties of European soils. Geoderma, 90:169–185.