Abstract
In response to the potential ecological problems caused by coal mine drainage, passive Mine Water Treatment Schemes (MWTS), consisting of settlement lagoons and aerobic wetlands, are developed to remove iron and other contaminants prior to discharge into the environment. Existing research has examined individual design aspects separately, addressing the effect of lagoons' design on treatment performance. However, long-term research lacks data on the design aspects of full-scale mine drainage lagoons, to ensure consistent iron removal and optimal treatment of the mine drainage. This study analysed and assessed the design aspects of five full-scale lagoons, alongside monthly iron concentrations spanning over a period of twelve years, aiming to evaluate lagoon treatment performance based on different design aspects. Correlation and regression analyses were conducted to offer a better understanding of the potential relationships between iron removal efficiencies and the various design aspects of lagoons. Results indicated that the mean iron removal efficiencies of the lagoons studied, ranged from 25.12% to 92.85%, being impacted by the different design features. The correlation and multiple regression analysis results suggest that operational Water Levels, Surface Area, Aspect Ratio, layout and number of inlets and outlets, as well as shape of the lagoons affected iron removal (R2 0.78, p-value <0.05). Lagoons with larger aspect ratio were observed to have performed better in removing iron. In addition, a reduction in operational water level was observed to lead to increased iron removal. Furthermore, the result of the regression analysis demonstrated that the age of the lagoon significantly affects its treatment performance. Overall, lagoons with mid-mid configuration, multiple inlets and outlets and aspect ratio of 4 are found to allow for better flow and contaminant spread within the system, ensuring better adsorption and optimal removal of iron, although subject to regular ochre removal. This study offers valuable insights to lagoons design engineers, research scientists, policy makers and MWTS operators to optimize treatment performance.
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Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1016/j.ecoleng.2024.107255 |
Status: | Published |
Refereed: | Yes |
Publisher: | Elsevier BV |
Additional Information: | © 2024 The Authors |
Uncontrolled Keywords: | 04 Earth Sciences; 05 Environmental Sciences; 09 Engineering; Environmental Engineering; 37 Earth sciences; 40 Engineering; 41 Environmental sciences |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Ioannidou, Vasiliki |
Date Deposited: | 06 Dec 2024 10:41 |
Last Modified: | 06 Dec 2024 21:13 |
Item Type: | Article |
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