Preferences help
enabled [disable] Abstract
Number of results
2019 | 136 | 194-225
Article title

Predicting Soil Erosion with Estimation of Saturated Hydraulic Conductivity from Soil Porosity: A Strategy for Meeting the SDG Goal Two and Six

Title variants
Languages of publication
For years now, the continual degradation of soils in the tropics, and around the globe has continued to be one of the challenges facing humankind. Soil erosion is one of the factors gearing low food production, environmental pollution and degradation, acting like an hindrance towards the realization of the Sustainable Development Goals (SDGs) two (zero hunger) including SDG six (clean water and sanitation). The importance of saturated hydraulic conductivity (Ks) of a soil to Agriculturist, Environmentalist including Engineers cannot be exhausted, as this single hydro-physical soil property controls many processes in the soil system. An experiment was conducted to access the vulnerability of University of Abuja soils to erosion. Result of data analysis proves that the saturated hydraulic conductivity of the soils is slow to extremely slow with value recorded at (0.89 – 4.50 mm hr-1). Field data outcome presents a view that the soils of the area is mostly very compact to compact, with porosity value ranging from (1 – 21%). Saturated hydraulic conductivity estimation was done using hydro-physical models. The performance of the models were evaluated using Root Mean Square Error (RMSE) statistics. Outcome of the model comparation proves the two model as been able to effectively estimate the water flux of the area, presenting RMSE values at (5.67 and 2.41 respectively for the two models). The study thus concluded that for loss of arable land to be minimized or avoided and for environmental sustainability, ecological tool like planting of grasses including trees can be employed to salvage the impending case of soil erosion in the area.
Physical description
  • Department of Planning, Research, Extension & Statistics, Nigeria Institute of Soil Science (NISS), 8 Abdullahi Ibrahim Street, Utako, Abuja, Nigeria
  • Department of Soil Science, Faculty of Agriculture, University of Abuja, Along Airport Road, PMB 117, FCT, Abuja, Nigeria
  • Nigeria Institute of Soil Science (NISS), 8 Abdullahi Ibrahim Street, Utako, Abuja, Nigeria
  • Department of Soil Science, Faculty of Agriculture, University of Abuja, Along Airport Road, PMB 117, FCT, Abuja, Nigeria
  • Department of Planning, Research, Extension & Statistics, Nigeria Institute of Soil Science (NISS), 8 Abdullahi Ibrahim Street, Utako, Abuja, Nigeria
  • [1] Ahmed, A and Duru, J. O (1985). Predicting infiltration rates and Determing hydrologic grouping of soils near Samaru, Kaduna State. Nigeria. Samaru Journal of Agricultural Research 13 (1 &2), 51-60.
  • [2] Lal, R. (1990). Tropical Soil Distribution Properties and Management. Resource Management and Optimization Vol. (7), 39-52.
  • [3] Najah, A., Elshafie, A., Karima, O.A. and Jaffar, O. (2009). Prediction of Johor river water quality parameters using artificial neural networks. European Journal of Science Research 28(3), 422-435.
  • [4] Oku, E and Aiyelari, A. (2011). Predictability of Philip and Kostiakov Infiltration Models under Inceptisols in the Humid Forest Zone, Nigeria, Kasetsart J. (Nat. Sci.) 45, 594-602.
  • [5] Oku, E. O., Kwabena, O. A and Blege, P. K (2015). Role of Soil Properties and Precipitation Concentration in Enhancing Floods in Northern Ghana. European Journal of Sustainable Development 4: 2, 339-346.
  • [6] Oku, E.E, Essoka, A. N and Oshunsanya, S. I. (2005). Determination of Infiltration Characteristics and Suitability of Kostiakov and Philip infiltration Models in Predicting Infiltration into Soils under Different Treatments. Global Journal of Pure and Applied Science 11 (3), 323-326.
  • [7] Oku, E.E., Babalola, O. and Essoka, A. N. (2010). Profile Distribution of Some Physical Properties and Infiltration Behaviour along a Paleustalfs Toposquence in South Western Nigeria. Tropical Agriculture (Trinidad). Vol. 87 (1), 1-10.
  • [8] Ouyang, Y., Nkedi-Kizza, P., Wu, Q.T., Shinde, D., Huang, C.H. (2006). Assessment of seasonal variations in surface water quality. Water Research 40, 3800-3810.
  • [9] Oyegun R. O (2010). Environmental problems of water resources development: Nigeria. Journals of Environmental Hydrology 18: 25-32.
  • [10] Pagliai, M. (1988). Soil Porosity and soil Hydrology Aspects. International Agrophysics, 4: 215-232.
  • [11] Ahuja, L. R., Naney, R.J., Green, R. E., Nielson, D. R. (1984). Macroporosity to Characterizes Spatial Variability of Hydraulic Conductivity and Effects of Land Management. Soil Science Society of America Journal 48 (4), 699-702.
  • [12] Ruiz, M. Y. and Utest, A. (1991). Three analytical models for the soil water retention curve in some Cuban soils. Cienc., Tech. Agrophysics 3 (1): 11-14.
  • [13] Shanan, L., Tadmor, N. H., Evenari, M. and Reiniger, P. (1970). Runoff Farming in the Desert III. Microcatchments for Improvement of Desert Range. Agronomy Journal 62, 445-449.
  • [14] Shrestha, S., Kazama, F. and Nakamura, T. (2008). Use of principal component analysis, factor analysis and discriminant analysis to evaluate spatial and temporal variations in water quality of the Mekong River. Journal of Hydro informatics 10 (1), 43-56.
  • [15] Suleiman, A.A and Ritchie, J. T. (2001). Estimating Saturated Hydraulic Conductivity from Soil Porosity. Transactions of the ASAE, American Society of Agricultural Engineers 44 (2), 1-5.
  • [16] Ahuja, L. R., O. Wendroth, and D.R. Nielsen (1993). Relationship between initial drainage of surface soil aveage profile saturated conductivity. Soil Science Society of America Journal 57(1): 19-25.
  • [17] Ahuju L. R. (1973) A numerical and similarity analysis of infiltration into crusted soil. Water Resource Res., 9: 987-994
  • [18] Akamigbo, F. O. R. (1983). Infiltration of Pedological processes on the gully formation in Southern Nigeria. Nigerian Journal of Soil Science 4: 112-127
  • [19] Cresswell, H. P., and Hamilton, G. J. (2002). Bulk density and pore space relations. Soil Science Society of America Journal 50: 627-633.
  • [20] Green, W. H., Ampt, G. A. (1911) Studies in Soil Physics: The flow of air and water in soils. Journal of Agric. Soil 4: 1-24
  • [21] King, J.J and Franzmeier, I. (1981). Estimation of Saturated Hydraulic Conductivity from Soil Morphological and Genetic Information. Soil Science Society of America Journal 45, 1153-1156.
  • [22] Kureve, B., Jensen, J. R., Adeoye, K. B and Chude V. O (1995). Water Intake Characteristics of Savanna Soils. Nigeria Journal of Soil Science 11: 54-66.
  • [23] Delgado, F. and Lopez, R. (1998). Evaluation of soil degradation impact on the productivity of Venezuelan soils. Advances in GeoEcology, 31: 133-142.
  • [24] Lal, R. (1989). Conservation tillage and sustainable agriculture: tropics vs temperate environment. Adv. Agron. 42: 85-197.
  • [25] Lal, R., Hall, G. F. and Miller, F, P. (1989). Soil degradation and Basic Processes. Land Degradation & Rehabilitation 1: 51-69.
  • [26] Larson, G. G. Roloff and W. Larson (1988). A new approach to marginal agriculture land classification. Journal of Soil and Water Conservation 43 (1): 103-106.
  • [27] Mbagwu, J. S.C. (1989a). Effects of organic amendments on some physical properties of a tropical Ultisol. I. Biol. Wastes 28: 1-13.
  • [28] Mbagwu, J. S.C. (1989b). Improving the productivity of a degraded Ultisol using organic and inorganic amendment to assess the chemical properties and maize yield. Biores., Technol. 42: 149-154.
  • [29] Murphy, C.P., Bullock, P. and Biswell, K.J., (1977 b). The measurement and characterization of voids in soil thin sections by image analysis. Par 11. Application. Journal of Soil Science 28: 509-518.
  • [30] Sojka, R. E. and D.R. Upchurch (1999). Reservations regarding the soil quality concept. Soil Science Society of America Journal, 63: 1039-1054.
Document Type
Publication order reference
YADDA identifier
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.