Effect of Hydraulic Conductivity on Three Dimensional Contaminant Transport in Riverbank Filtration System
Riverbank filtration system is a technique used for surface water treatment that is based on biological activities to attenuate the contamination in water through its movement from the river to the adjacent pumping well. Hydraulic conductivity is a critical parameter that affects the efficiency of riverbank filtration systems. In this study, an analytical model, using Green’s function approach, is developed to investigate the effect of hydraulic conductivity on contaminant transport and RBF system efficiency. The model is applied at the RBF site in Malaysia. The outcomes show that increasing the hydraulic conductivity values results in lowering the quality of the pumped water produced from the well, in which the contamination area around the well increase. Additionally, the distance from well to the river that should be considered when establishing a new RBF site is significantly affected by the hydraulic conductivity value.
Batu, V. (2005). Fundamental principles of solute transport in aquifers. In Applied Flow and Solute Transport Modeling in Aquifers. CRC Press.
Bianchi, M., Kearsey, T. & Kingdon, A. (2015). Integrating deterministic lithostratigraphic models in stochastic realizations of subsurface heterogeneity: Impact on predictions of lithology, hydraulic heads and groundwater fluxes. Journal of Hydrology, 531, 557-573.
Chen, K., Zhan, H. & Zhou, R. (2016). Subsurface solute transport with one-, two-, and three-dimensional arbitrary shape sources. Journal of Contaminant Hydrology, 190, 44-57.
Dillon, P.J., Miller, M., Fallowfield, H. & Hutson, J. (2002). The potential of riverbank filtration for drinking water supplies in relation to microsystin removal in brackish aquifers. Journal of Hydrology, 266, 209-221.
Fallico, C. (2014). Reconsideration at field scale of the relationship between hydraulic conductivity and porosity: The case of a sandy aquifer in South Italy. The Scientific World Journal, 2014, 1-15.
He, Z. & Wu, W. (2009). A physically-based integrated numerical model for flow, upland erosion, and contaminant transport in surface-subsurface systems. Science in China Series E: Technological Sciences, 52, 3391-3400.
Hunt, B. (1999). Unsteady stream depletion from ground water pumping. Groundwater, 37, 98-102.
Leij, F. and M. Van Genuchten (2000). Analytical modeling of nonaqueous phase liquid dissolution with Green’s functions. Transport in Porous Media, 38: 141-166.
Maliva, R. & Missimer, T. (2012). Riverbank filtration. In Arid Lands Water Evaluation and Management. Springer Berlin Heidelberg.
Muller, B., Scheytt, T., Zippel, M., Hannappel, S., Klein-Goodicke, J. & Duscher, K. (2010). A new approach to calculate EMEA’s predicted environmental concentration for human pharmaceuticals in groundwater at bank filtration sites. Water, Air, & Soil Pollution, 217, 67-82.
Mustafa, S., Bahar, A., Aziz, Z.A. & Darwish, M. (2020). Solute transport modelling to manage groundwater pollution from surface water resources. Journal of Contaminant Hydrology, 233, 103662.
Mustafa, S., Bahar, A., Aziz, Z.A. & Suratman, S. (2016). Modelling contaminant transport for pumping wells in riverbank filtration systems. Journal of Environmental Management, 165, 159-166.
Mustafa, S., Darwish, M., Bahar, A. & Aziz, Z.A. (2019). Analytical modeling of well design in riverbank filtration systems. Groundwater, 57, 756-763.
Paladino, O., Moranda, A., Massabo, M. & Robbins, G.A. (2018). Analytical solutions of three-dimensional contaminant transport models with exponential source decay. Groundwater, 56, 96-108.
Park, E. & Zhan, H. (2001). Analytical solutions of contaminant transport from finite one-, two-, and three-dimensional sources in a finite-thickness aquifer. Journal of Contaminant Hydrology, 53, 41-61.
Rwanga, S. & Ndambuki, J. (2020). Dataset of development of stochastic groundwater flow under uncertain recharge. MethodsX, 7, 100907.
Sanskrityayn, A., Suk, H. and N. Kumar (2017). Analytical solutions for solute transport in groundwater and riverine flow using Green’s function method and pertinent coordinate transformation method. Journal of Hydrology, 547: 517-533.
Shamsuddin, M.K.N., Sulaiman, W.N.A., Suratman, S., Zakaria, M.P. & Samuding, K. (2013). Conjunctive use of surface water and groundwater via the bank infiltration method. Arabian Journal of Geosciences, 7, 3731-3753.
Soldi, M., Guarracino, L. & Jougnot, D. (2017). A simple hysteretic constitutive model for unsaturated flow. Transport in Porous Media, 120, 271-285.
Stanev, V.G., Iliev, F.L., Hansen, S., Vesselinov, V.V. & Alexandrov, B.S. (2018). Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method. Applied Mathematical Modelling, 60, 64-76.
Theis, C.V. (1935). The relation between the lowering of the piezometric surface and the rate and duration of discharge of a well using groundwater storage. Transactions American Geophysical Union, 16, 519-524.
Urumovic, K. & Urumovic Sr., K. (2016). The referential grain size and effective porosity in the Kozeny-Carman model. Hydrology and Earth System Sciences, 20, 1669.
Wang, H. & Wu, H. (2009). Analytical solutions of three-dimensional contaminant transport in uniform flow field in porous media: A library. Frontiers of Environmental Science & Engineering in China, 3, 112-128.
Zhan, H. (1999). Analytical study of capture time to a horizontal well. Journal of Hydrology, 217, 46-54.
Zhu, L., Gong, H., Chen, Y., Li, X., Chang, X. & Cui, Y. (2016). Improved estimation of hydraulic conductivity by combining stochastically simulated hydrofacies with geophysical data. Scientific Reports, 6, 22224.