IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v465y2022ics0304380022000011.html
   My bibliography  Save this article

Computer simulation modelling of the simultaneous adsorption of Cd, Cu and Cr from aqueous solutions by agricultural clay soil: A PHREEQC geochemical modelling code coupled to parameter estimation (PEST) study

Author

Listed:
  • Mosai, Alseno K.
  • Tokwana, Bontle C.
  • Tutu, Hlanganani

Abstract

Although minerals such as gold and platinum are important for improving life, their processing comes with social and environmental problems. During the processing of these minerals, toxic elements such as cadmium, copper and chromium are released along with wastewater into the environment including soils and surface water leading to plausible migration to groundwater. The removal of these elements from aqueous solutions is of utmost importance however, where no remediation is implemented, the ability of the soil to retain the elements and prevent migration is crucial. Moreover, there is a need for reliable and accurate computational modelling programs that requires minimum set of experiments for calibration in order to determine the success of the sorption of elements by natural and man-made adsorbents since laboratory and field experiments can be expensive, time consuming and often require repetition. In this study, the ability of an agricultural clay soil to adsorb and retain cadmium (Cd), copper (Cu) and chromium (Cr) was investigated by simulating different conditions using PHREEQC (which stands for, pH, redox, equilibrium written in the C language) geochemical modelling code coupled to parameter estimation (PEST). The role of pH (2–9) on the adsorption of Cd, Cu and Cr onto generalised weak, strong and super strong sites of the agricultural soil was determined and used to calibrate the model. The soil was found to be effective in preventing the mobility of Cd, Cu and Cr to groundwater however, the presence of competing ions and plant exudates increased their mobility. PHREEQC geochemical modelling code coupled with PEST was found to be a quick and a reliable tool to determine the performance of natural and man-made adsorbents in different conditions. Thus, PHREEQC coupled to PEST is a suitable decision making tool for environmental sustainability.

Suggested Citation

  • Mosai, Alseno K. & Tokwana, Bontle C. & Tutu, Hlanganani, 2022. "Computer simulation modelling of the simultaneous adsorption of Cd, Cu and Cr from aqueous solutions by agricultural clay soil: A PHREEQC geochemical modelling code coupled to parameter estimation (PE," Ecological Modelling, Elsevier, vol. 465(C).
  • Handle: RePEc:eee:ecomod:v:465:y:2022:i:c:s0304380022000011
    DOI: 10.1016/j.ecolmodel.2022.109872
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022000011
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.109872?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. B. Anand & D. Karunanidhi & T. Subramani & K. Srinivasamoorthy & M. Suresh, 2020. "Long-term trend detection and spatiotemporal analysis of groundwater levels using GIS techniques in Lower Bhavani River basin, Tamil Nadu, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2779-2800, April.
    2. Schuwirth, Nele & Borgwardt, Florian & Domisch, Sami & Friedrichs, Martin & Kattwinkel, Mira & Kneis, David & Kuemmerlen, Mathias & Langhans, Simone D. & Martínez-López, Javier & Vermeiren, Peter, 2019. "How to make ecological models useful for environmental management," Ecological Modelling, Elsevier, vol. 411(C).
    3. Uchenna Okereafor & Elizabeth Makhatha & Lukhanyo Mekuto & Vuyo Mavumengwana, 2021. "Evaluation of Trace Elemental Levels as Pollution Indicators in an Abandoned Gold Mine Dump in Ekurhuleni Area, South Africa," Chapters, in: Mario Alfonso Murillo-Tovar & Hugo Albeiro Saldarriaga Norena & Agnieszka Saeid (ed.), Trace Metals in the Environment - New Approaches and Recent Advances, IntechOpen.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brias, Antoine & Munch, Stephan B., 2021. "Ecosystem based multi-species management using Empirical Dynamic Programming," Ecological Modelling, Elsevier, vol. 441(C).
    2. Di Pirro, E. & Sallustio, L. & Capotorti, G. & Marchetti, M. & Lasserre, B., 2021. "A scenario-based approach to tackle trade-offs between biodiversity conservation and land use pressure in Central Italy," Ecological Modelling, Elsevier, vol. 448(C).
    3. Haider, Saira M. & Benscoter, Allison M. & Pearlstine, Leonard & D'Acunto, Laura E. & Romañach, Stephanie S., 2021. "Landscape-scale drivers of endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) presence using an ensemble modeling approach," Ecological Modelling, Elsevier, vol. 461(C).
    4. Haag, Fridolin & Chennu, Arjun, 2023. "Assessing whether decisions are more sensitive to preference or prediction uncertainty with a value of information approach," Omega, Elsevier, vol. 121(C).
    5. Bernadette John & Subhasish Das & Rajib Das, 2023. "Natural groundwater level fluctuations of Kolkata City based on seasonal field data and population growth using geo-spatial application and characterised statistical techniques," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6503-6528, July.
    6. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
    7. Callesen, I. & Magnussen, A., 2021. "TransparC2U–A two-pool, pedology oriented forest soil carbon simulation model aimed at user investigations of multiple uncertainties," Ecological Modelling, Elsevier, vol. 453(C).
    8. Chollet Ramampiandra, Emma & Scheidegger, Andreas & Wydler, Jonas & Schuwirth, Nele, 2023. "A comparison of machine learning and statistical species distribution models: Quantifying overfitting supports model interpretation," Ecological Modelling, Elsevier, vol. 481(C).
    9. Bobrowski, Maria & Weidinger, Johannes & Schwab, Niels & Schickhoff, Udo, 2021. "Searching for ecology in species distribution models in the Himalayas," Ecological Modelling, Elsevier, vol. 458(C).
    10. Acosta-Arreola, Jaime & Domínguez-Hüttinger, Elisa & Aguirre, Pablo & González, Nicolás & Meave, Jorge A., 2023. "Predicting dynamic trajectories of a protected plant community under contrasting conservation regimes: Insights from data-based modelling," Ecological Modelling, Elsevier, vol. 484(C).
    11. Ying Chen & Binbin Lu & Chongyu Xu & Xingwei Chen & Meibing Liu & Lu Gao & Haijun Deng, 2022. "Uncertainty Evaluation of Best Management Practice Effectiveness Based on the AnnAGNPS Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1307-1321, March.
    12. dos Anjos, Lucas & Weber, Igor Daniel & Godoy, Wesley Augusto Conde, 2023. "Modelling the biocontrol of Spodoptera frugiperda: A mechanistic approach considering Bt crops and oviposition behaviour," Ecological Modelling, Elsevier, vol. 484(C).
    13. Lötjönen, Sanna & Ollikainen, Markku & Kotamäki, Niina & Huttunen, Markus & Huttunen, Inese, 2021. "Nutrient load compensation as a means of maintaining the good ecological status of surface waters," Ecological Economics, Elsevier, vol. 188(C).
    14. Renjie Qin & Qiuyang Song & Yonghong Hao & Guanghong Wu, 2023. "Groundwater level declines in Tianjin, North China: climatic variations and human activities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1899-1913, February.
    15. Zubairul Islam & Muthukumarasamy Ranganathan & Murugesan Bagyaraj & Sudhir Kumar Singh & Sandeep Kumar Gautam, 2022. "Multi-decadal groundwater variability analysis using geostatistical method for groundwater sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3146-3164, March.
    16. Palamara, Gian Marco & Dennis, Stuart R. & Haenggi, Corinne & Schuwirth, Nele & Reichert, Peter, 2022. "Investigating the effect of pesticides on Daphnia population dynamics by inferring structure and parameters of a stochastic model," Ecological Modelling, Elsevier, vol. 472(C).
    17. P. J. Sajil Kumar, 2022. "GIS-based mapping of water-level fluctuations (WLF) and its impact on groundwater in an Agrarian District in Tamil Nadu, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 994-1009, January.
    18. Paulin, M.J. & Rutgers, M. & de Nijs, T. & Hendriks, A.J. & Koopman, K.R. & Van Buul, T. & Frambach, M. & Sardano, G. & Breure, A.M., 2020. "Integration of local knowledge and data for spatially quantifying ecosystem services in the Hoeksche Waard, the Netherlands," Ecological Modelling, Elsevier, vol. 438(C).
    19. Caradima, Bogdan & Scheidegger, Andreas & Brodersen, Jakob & Schuwirth, Nele, 2021. "Bridging mechanistic conceptual models and statistical species distribution models of riverine fish," Ecological Modelling, Elsevier, vol. 457(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:465:y:2022:i:c:s0304380022000011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.