Challenges in Simulating Pollutant Behavior in Watercourses with Diverse Ecological and Structural Features

Sobieski, W.

doi:10.47176/jafm.18.8.3269

Challenges in Simulating Pollutant Behavior in Watercourses with Diverse Ecological and Structural Features

Document Type : Regular Article

Author

W. Sobieski

University of Warmia and Mazury in Olsztyn, Olsztyn, 10-900, Poland

10.47176/jafm.18.8.3269

Abstract

The article presents the results of simulation studies conducted on a hypothetical watercourse with two simultaneous sources of pollutants of differing types, aimed at better understanding pollutant dispersion in complex riverine environments. The modeled watercourse incorporates a range of structural and natural elements, including a narrow riverbed section, a floodplain with vegetated zones, technical infrastructure (such as bridge supports and a side channel outlet), and various topographical features. The study was conducted using the Finite Volume Method within the ANSYS Fluent computational framework, integrating the Volume of Fluid model (Open Channel version), Species Model (for liquid pollutants), Porous Media Model (to represent vegetated zones), and Discrete Phase Model (for solid particles) into a unified simulation. In last part, a proposal for pollutant management strategies in selected water systems, where the risk of emergency situations is particularly high, is discussed. The primary objective was to identify challenging aspects of pollutant dispersion modeling in order to refine future research directions and methodologies.

Keywords

Main Subjects

Computational Fluid Dynamics

References

Agranat, V., Romanenko, S., & Perminov, V. (2021). Mathematical modelling of river pollution as a result of pipeline damage. Chemical Engineering Transactions, 88, 481-486. https://doi.org/10.3303/CET2188080

Alvir, M., Grbčić, L., Sikirica, A., & Kranjčević, L. (2022). OpenFOAM-ROMS nested model for coastal flow and outfall assessment. Ocean Engineering, 264, 112535. https://doi.org/10.1016/j.oceaneng.2022.112535

Arthur, J. K. (2018). Porous media flow transitioning into the forchheimer regime: a PIV study. Journal of Applied Fluid Mechanics, 11(2), 297-307. https://doi.org/10.29252/jafm.11.02.28262

ANSYS Inc. (2022, January). Ansys Fluent Theory Guide, Release 2022R1.

Bhatnagar, P., Gross, E., & Krook, M. (1954). A model for collision processes in gases: I. Small amplitude processes in charged and neutral one-component systems. Physical Review, 94, 511-525.

Bondelind, M., Sokolova, E., Karlsson, D., & Björklund, K. A. (2020). Hydrodynamic modelling of traffic-related microplastics discharged with stormwater into the Göta River in Sweden. Environmental Science and Pollution Research, 19, 24218-24230. https://doi.org/10.1007/s11356-020-08637-z

Chu, K., Wang, B., Xu, D., Chen, Y., & Yu, A. (2011). CFD-DEM simulation of the gas-solid flow in a cyclone separator. Chemical Engineering Science, 66, 834-847. https://doi.org/10.1016/j.ces.2010.11.026

Cundall, P., & Strack, O. (1979). A discrete element model for granular assemblies. Géotechnique, 29, 47-65.

Diener, E. (2019). Modelling the circulation and spread of pollution in lake Rådasjön under conditions of climate change [Master's thesis, Chalmers University of Technology].

Hadžiabdić, M., Hafizović, M., Ničeno, B., & Hanjalić, K. (2022). A rational hybrid RANS-LES model for CFD predictions of microclimate and environmental quality in real urban structures. Building and Environment, 217, 109042. https://doi.org/10.1016/j.buildenv.2022.109042

Hamdhan, I., & Clarke, B. (2010). Determination of thermal conductivity of coarse and fine sand soils. Proceedings of the World Geothermal Congress 2010 (pp. 1-7).

Hrčka, R., & Babiak, M. (2017). Wood thermal properties. Wood in Civil Engineering. IntechOpen. https://doi.org/10.5772/65805.

Jaskulski, R., Glinicki, A., Kubissa, W., & Dabrowski, M. (2019). Application of a non-stationary method in determination of the thermal properties of radiation shielding concrete with heavy and hydrous aggregate. International Journal of Heat and Mass Transfer, 130, 882-892. https://doi.org/10.1016/j.ijheatmasstransfer.2018.07.050

Korotenko, K., Mamedov, R., Kontar, A., & Korotenko, L. (2004). Particle tracking method in the approach for prediction of oil slick transport in the sea: Modelling oil pollution resulting from river input. Journal of Marine Systems, 48, 159-170. https://doi.org/10.1016/j.jmarsys.2003.11.023

Lee, I. B., Bitog, J., Seo, H. S. W., Seo, I. H., Kwon, K. S., Bartzanas, T., & Kacira, M. (2013). The past, present and future of CFD for agro-environmental applications. Computers and Electronics in Agriculture, 93, 168-183. https://doi.org/10.1016/j.compag.2012.09.006

Li, J., Guo, F., & Chen, H. (2024). A study on urban block design strategies for improving pedestrian-level wind conditions: CFD-based optimization and generative adversarial networks. Energy & Buildings, 304, 113863. https://doi.org/10.1016/j.enbuild.2023.113863

Liu, G., & Liu, M. (2003). Smoothed particle hydrodynamics. World Scientific Publishing. https://doi.org/10.1142/5340

Ma, G., Li, T., Wang, Y., & Chen, Y. (2019). Numerical simulations of nuclide migration in highly fractured rock masses by the unified pipe-network method. Computers and Geotechnics, 111, 261-276. https://doi.org/10.1016/j.compgeo.2019.03.024

Montazeri, A., Chahkandi, B., Gheibi, M., Eftekhari, M., Wacławek, S., Behzadian, K., & Campos, L. (2023). A novel AI-based approach for modelling the fate, transportation and prediction of chromium in rivers and agricultural crops: A case study in Iran. Ecotoxicology and Environmental Safety, 263, 115269. https://doi.org/10.1016/j.ecoenv.2023.115269

Omni Calculator. (2023, December 1). Water viscosity. Retrieved from https://www.omnicalculator.com/physics/water-viscosity

Poursaeid, M. (2023). An optimized extreme learning machine by evolutionary computation for river flow prediction and simulation of water pollution in Colorado River Basin, USA. Expert Systems with Applications, 233, 120998. https://doi.org/10.1016/j.eswa.2023.120998

Sobieski, W. (2011). The basic equations of fluid mechanics in form characteristic of the finite volume method. Technical Sciences, 14(2), 299-313.

Sobieski, W. (2013). The basic closures of fluid mechanics in form characteristic for the finite volume method. Technical Sciences, 16(2), 93-107.

Sobieski, W., & Šarler, B. (2023). Numerical methods in fluid mechanics – An overview. Technical Sciences, 26, 185-218.

Sobieski, W., Lipinski, S., Dudda, W., Trykozko, A., Marek, M., Wiacek, J., Matyka, M., & Golembiewski, J. (2016). Granular porous media (in Polish). Department of Mechanics and Fundamentals of Machine Design, Olsztyn.

Sukop, M., & Thorne, D. (2006). Lattice boltzmann modeling – an introduction for geoscientists and engineers. Springer. https://doi.org/10.1007/978-3-540-27982-2

Veli, S., Arslan, A., Isgoren, M., Bingol, D., & Demira, D. (2021). Experimental design approach to COD and color removal of landfill leachate by the electrooxidation process. Environmental Challenges, 5, 100369. https://doi.org/10.1016/j.envc.2021.100369

Zaidi, A. A. (2020). Resistance force on a spherical intruder in fluidized bed. Journal of Applied Fluid Mechanics, 13(4), 1027-1035. https://doi.org/10.29252/jafm.13.03.30626

Zheng, X. G., Pu, J. H., Chen, R. D., Liu, X. N., & Shao, S. D. (2016). A Novel explicit-implicit coupled solution method of swe for long-term river meandering process induced by Dambreak. Journal of Applied Fluid Mechanics, 9(6), 2647-2660. https://doi.org/10.29252/jafm.09.06.25969

Zieminska-Stolarska, A., & Skrzypski, J. (2012). Review of mathematical models of water quality. Ecological Chemistry and Engineering, 19(2). https://doi.org/10.2478/v10216-011-0015-x

Zima, P. (2019). Simulation of the impact of pollution discharged by surface waters from agricultural areas on the water quality of Puck Bay, Baltic Sea. Euro-Mediterranean Journal for Environmental Integration, 4(16). https://doi.org/10.1007/s41207-019-0104-2

Xue, J., Yuan, C., Ji, X., & Zhang, M. (2024). Predictive modeling of nitrogen and phosphorus concentrations in rivers using a machine learning framework: A case study in an urban-rural transitional area in Wenzhou, China. Science of the Total Environment, 910, 168521. https://doi.org/10.1016/j.scitotenv.2023.168521