Gradients of seepage velocity model for contaminant transport prediction

被引:3
作者
Alabi, O. O. [1 ]
Ojurongbe, T. A. [2 ]
Sedara, S. O. [3 ]
机构
[1] Osun State Univ, Dept Phys, Osogbo, Osun State, Nigeria
[2] Osun State Univ, Dept Math Sci, Osogbo, Osun State, Nigeria
[3] Adekunle Ajasin Univ, Dept Phys & Elect, Akungba Akoko, Ondo State, Nigeria
关键词
Hydraulic conductivity; Permeability; Porosity; Water pollution control; Permeameter; Fine grained sand soil;
D O I
10.1016/j.sciaf.2019.e00087
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Models are commonly used to predict the contaminant transport. For example, hydraulic conductivity, porosity and gradient are parameters for seepage velocity model. The variation of each parameter needs to be considered for different grain size in order to determine accurate seepage velocity model. An experimental set up was used to determine hydraulic conductivity vis-a-vis permeability for sands of different porosities at different gradients, ranging from 1.15 to 15.00. The permeablities at gradient 1.15 are 0.466 x 10(-11), 1.054 x 10(-11), 1.175 x 10(-11), 1.690 x 10(-11) and 3.293 x 10(-11) m(2) for sands of porosities 0.250, 0.333, 0.364, 0.400 and 0.420 respectively, while the decline permeabilities obtained at higher gradient 15.0 are 0.334 x 10(-11), 0.942 x 10(-11), 1.023 x 10(-11), 1.550 x 10(-11) and 2.684 x 10(-11) m(2) for sands of porosities 0.250, 0.333, 0.364, 0.400 and 0.420 respectively. It was observed that pre-field test or models for fine grained sand and coarse grained sand cannot be subjected to the same gradients for high degree of prediction. Thus, in the model or pre-field test experiment, lower gradients (below 1.88) are more appropriate for coarse grained sand, while higher gradients (above 2.50) should be used for fine grained sand. This recommendation will be appropriate for the accurate prediction of contaminant transport seepage velocity in each case. (C) 2019 The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
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页数:6
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