Analysis of one dimensional solute transport of Arsenic in Dudhi region of Sonebhadra district Uttar Pradesh is presented in this study. To understand and predict the behavior of solute transport within the ground water simulation of solute transport is necessary and helpful to develop remediation for this pollution. In this study the transport behavior of contaminant transport incorporating with non-linear sorption (Freundlich) for different adsorption capacities (Freundlich adsorption coefficient) (Kf) and adsorption intensity (Freundlich exponent) (a) is numerically simulated using MT3DMS. MT3DMS is a well know simulator for simulation of solute transport problems. For the study multiple simulations were conducted with several values of Kf and a, to study the trend analysis of breakthrough curves. For the visualization of the output of simulation and to plot the BTC the observation output files were imported to M.S. EXCEL and proceeded to plot the BTCs for trend analysis.
Introduction
I. INTRODUCTION
Contamination of ground water is a major emerging challenge for us. Since we rely on groundwater for source of water in major parts of world, it must be entertained well. Whenever any foreign material or contamination finds it path down to the groundwater and joins the groundwater and pollutes water inside the earth aquifers is termed as Ground water contamination. In India the responsible contaminant for ground water pollution is generally identified are salinity, fluoride, nitrate, arsenic and other heavy metals. Trace of high levels fluoride above the acceptable limits of 1.5 ppm occur in around 14 states of our India. It is also reported that around 65 % of Indian rural areas are exposed to fluoride risk. Trace of high-level salinity is also reported from several states. High levels of arsenic has been also found in the Ganga basin belt of several districts of UP, Bihar and West Bengal.
To understand and predict the behaviors of solute transport within the ground water simulation of reactive contaminants is necessary and very helpful to develop remediation for the pollution. Simulation can also be useful to predict the concentration of contaminant in any particular time at any particular space. Simulation of solute transport is done by solving the ADE (Advective-dispersive differential equation) governing the transport mechanism with the help of computer programs and codes to get the study results and findings. It reduces our effort and save time as compared to other methods of solving ADE. In this current study for one dimensional solute transport with equilibrium-controlled sorption, MT3DMS is used for the simulation. A general procedure to the simulation of reactive solute transport with groundwater in porous media like soil is by assuming it to be driven by a linear sorption isotherm (Fetter, 1993).
A. Study Area
IV. ACKNOWLEDGEMENTS
The authors thank Asst. Prof. Asit Singh CED, IET Lucknow, their holistic support and Ecomen Laboratories Pvt. Ltd. Lucknow, to providing the essential facilities for conducting this research.
Conclusion
The solute transport of Arsenic contaminated ground water in the Dudhi region of Sonbhadra district has been analysed. This study indicates that with the increase in adsorption capacity (Kf) the concentration of contaminant dissolved in aqueous phase decrease since the more mass of contaminant is sorbed onto the solid phase. So the attenuation in peak relative concentration has been observed with increase in Kf values. This directly indicates that more the adsorption capacity of the soil slower the pollutant migration rate as the retention capacity of porous medium increases. The Freundlich exponent (a) or adsorption intensity has adverse effect on pollution migration, with high value of Freundlich exponent the concentration in aqueous phase increases as compared to the value of concentration in aqueous phase for a lower value of Freundlich exponent for same Adsorption capacity (Kf). Also, for same Kf at lower value of Freundlich exponent more retention of contaminant is observed also the peak is delayed but as the values of exponent increases the concentration in aqueous phase increases and the peak appears early since less retention of contaminant is offered by solid in this case. Hence the study gives the analysis of general behavior of soil with respect to Freundlich adsorption capacity and intensity, only using these parameters we could understand the change concentration of pollutants in aqueous phase.
References
[1] Fetter, C. W. (1993). Transformation, retardation, and attenuation of solutes. Contaminant Hydrogeology.
[2] Khan, K., Lu, Y., Khan, H., Zakir, S., Khan, S., Khan, A. A., et al. (2013b). Health risks associated with heavy metals in the drinking water of Swat, northern Pakistan. Journal of Environmental Sciences, 25(10), 2003–2013.
[3] Pandey, V. C., Singh, J. S., Singh, R. P., Singh, N., & Yunus, M. (2011). Arsenic hazards in coal fly ash and its fate in Indian scenario. Resources, Conservation and Recycling, 55(9-10), 819-835.
[4] Zheng, C. et al. (2012) ‘MT3DMS: Model use, calibration, and validation’, Transactions of the ASABE, 55(4), pp. 1549–1559. doi: 10.13031/2013.42263
[5] Grove, D. B. and Stollenwerk, K. G. (1984) Computer model of one-dimensional equilibrium controlled sorption processes, Water-Resources Investigations Report. doi: 10.3133/wri844059.
[6] Agarwal, P. and Sharma, P. K. (2020) ‘Analysis of critical parameters of flow and solute transport in porous media’, Water Science and Technology: Water Supply, 20(8), pp. 3449–3463. doi: 10.2166/ws.2020.
[7] Garg, S. and Singh, S. K. (2016) ‘Modeling of arsenic transport in groundwater using MODFLOW?: A case study’, 6(4), pp. 56–81.
[8] Grove, D. B. (1985) ‘Modelling the rate-controlled Sorption of Hexavalent Chromium’, 21(11), pp. 1703–1709.
[9] Grove, D. B. and Stollenwerk, K. G. (1984) Computer model of one-dimensional equilibrium controlled sorption processes, Water-Resources Investigations Report. doi: 10.3133/wri844059.
[10] Hulagabali, A. M., Solanki, C. H. and Dodagoudar, G. R. (2014) ‘Contaminant Transport Modeling through Saturated Porous Media Using Finite Difference and Finite Element Methods’, Mechanical and Civil Engineering, 2014, pp. 29–33.
[11] Igwe, J. C. and Abia, A. A. (2007) ‘Adsorption isotherm studies of Cd ( II ), Pb ( II ) and Zn ( II ) ions bioremediation from aqueous solution using unmodified and EDTA-modified maize cob’, 32(Ii), pp. 33–42.
[12] Kumar, M. D. and Shah, T. (2006) ‘Groundwater Pollution and Contamination in India?: The Emerging Challenge’, India Water Portal, (January 2006), pp. 1–6.
[13] Liu, C., Ball, W. P. and Ellis, J. H. (1998) ‘An Analytical Solution to the One- Dimensional Solute Advection-Dispersion Equation in Multi-Layer Porous Media’, pp. 25–43.
[14] Njuguna, S. M. et al. (2019) ‘Health risk assessment by consumption of vegetables irrigated with reclaimed waste water: A case study in Thika (Kenya)’, Journal of Environmental Management, 231, pp. 576–581. doi: https://doi.org/10.1016/j.jenvman.2018.10.088.
[15] Rahman, M. M., Liedl, R. and Grathwohl, P. (2004) ‘Sorption kinetics during macropore transport of organic contaminants in soils?: Laboratory experiments and analytical modeling’, 40, pp. 1–11. doi: 10.1029/2002WR001946.
[16] Wu, J., Zhang, Y. and Zhou, H. (2020) ‘Groundwater chemistry and groundwater quality index incorporating health risk weighting in Dingbian County, Ordos basin of northwest China’, Geochemistry, 80(4, Supplement), p. 125607. doi: https://doi.org/10.1016/j.chemer.2020.125607.Zejia, L. I. U. et al. (2012) ‘Procedia Earth and Planetary Science The 2D FUPG Finite Element Model of Contaminant Transportation in Soil Considering Nonlinear Sorption’, 5, pp. 262–267. doi: 10.1016/j.proeps.2012.01.045.
[17] Majumdar, P. K., Ghosh, N. C., & Chakravorty, B. (2002), Analysis of arseniccontaminated groundwater domain in the Nadia district of West Bengal (India), Hydrological Sciences Journal, 47, pp S55–S66.
[18] Malik, V. S., Singh, R. K., & Singh, S. K. (2012a), Ground water modeling with processing modflow for Windows, (PMWIN) for the water balance study and suitable recharge site: case of Gurgaon district, Haryana, India. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 1(1), pp 72–84.
[19] Njuguna, S. M. et al. (2019) ‘Health risk assessment by consumption of vegetables irrigated with reclaimed waste water: A case study in Thika (Kenya)’, Journal of Environmental Management, 231, pp. 576–581. doi: https://doi.org/10.1016/j.jenvman.2018.10.088.
[20] Rahman, M. M., Liedl, R. and Grathwohl, P. (2004) ‘Sorption kinetics during macropore transport of organic contaminants in soils?: Laboratory experiments and analytical modeling’, 40, pp. 1–11. doi: 10.1029/2002WR001946.