Overview of Active and Passive Systems for Treating Acid Mine Drainage

Seervi, Vikram; H.L, Yadav; S.K, Srivastav; Jamal, Aarif

doi:10.17148/iarjset.2017.4525

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…Mine water management involves the collection, treatment, and discharge of water that is encountered during mining operations. This water can include groundwater, surface water, and water that are used in the mining process. − Managing this water is essential to ensuring that it does not harm the environment or human health. However, due to the complex nature of mining operations, managing MIW requires advanced statistical data analysis approaches as opposed to the current methods (summary in Text S1 in the Supporting Information).…”

Section: Introductionmentioning

confidence: 99%

Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water Data

Wolkersdorfer

2023

ACS EST Water

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Collecting mining influenced water (MIW) quality data can result in incomplete data sets with missing values and anomalies, making it challenging to use the data for optimizing mine water management. This work explores advanced statistical data analysis approaches for addressing missing data interpolation and anomaly detection in MIW data sets. The study compares the performance of five different interpolation techniques and four different anomaly detection techniques using supervised and unsupervised machine learning algorithms developed using Python 3.8.16. The results of the study demonstrate that the radial basis function, spline, and k-nearest-neighbors interpolation techniques, along with the predictive confidence interval level anomaly approach based on gradient boosting regression trees, perform best for missing data interpolation and anomaly detection, respectively. Thorough application of these advanced techniques can improve the accuracy and reliability of mine water quality data, which is crucial for making conclusions on the safety of the environment, public health, and effective MIW management. This paper highlights the importance of developing effective methods for addressing missing data and anomalies in MIW data sets, which can ultimately lead to improved treatment plant optimization.

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Section: Introductionmentioning

confidence: 99%

Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water Data

Wolkersdorfer

2023

ACS EST Water

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“…The occurrence of sulfide minerals dictates the generation of AMD besides other factors like hydrogeology of area, nature of adjoining rocks, presence of water, temperature, and oxygen supply, etc. [7,18]. The AMD generation reaction can be expressed as 4 FeS 2 + 15 O 2 + 14 H 2 O -------4 Fe(OH) 3 ↓ + 8 H 2 SO 4 The surrounding aquatic environment is adversely affected byAMD discharge and as a result aquatic livings are killed.AMD also increases the probability of corrosion in mining machine and fittings and reduces the mining machinery'slife.…”

Section: Introductionmentioning

confidence: 99%

Study of effects of some metals and hydraulic retention time on performance of AMD treatment by SAPS

Patel

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Acid mine drainage (AMD) is presently observed as one of the major water pollution problems in mining area throughout the world. Proper scientific management of AMD is essential for achieving the national goals for environmental norms. In this studyperformance of AMD treatment by laboratory successive alkalinity producing system (SAPS) by observing the effects of some metals and hydraulic retention time. In this study the experiments were conducted in laboratory successive alkalinity producing system (SAPS) with different synthetic AMDs for five Hydraulic retention times(HRTs). The successive alkalinity producing system shown the promising results during the AMD treatment. The effects of iron, aluminium and manganese were jointly investigated, whichshowed that Net alkalinity generation (NAG) increases with increase in influent metal contents. It was also observed thatNAG also showed increasing tendency with HRT during AMD treatment by SAPS. The obtained findings from this study can be applied for efficient design and operation of successive alkalinity producing system for AMD treatment process in mining industry.

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Buffering Capacity of Soils in Mining Areas and Mitigation of Acid Mine Drainage Formation

Lusunzi

Fosso‐Kankeu

Waanders

2023

Hybridized Technologies for the Treatment of Mining Effluents

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Overview of Active and Passive Systems for Treating Acid Mine Drainage

Cited by 9 publications

References 11 publications

Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water Data

Exploring Advanced Statistical Data Analysis Techniques for Interpolating Missing Observations and Detecting Anomalies in Mining Influenced Water Data

Study of effects of some metals and hydraulic retention time on performance of AMD treatment by SAPS

Buffering Capacity of Soils in Mining Areas and Mitigation of Acid Mine Drainage Formation

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