Abstract:In Australia and worldwide, open cut mining has become increasingly common over the last few decades through changes in excavation technology and ore economics. However, such operations frequently leave a legacy of open mine pits once mining ceases. Pit lakes will then form in mine pits that extend below the water table when dewatering operations cease. Pit lake waters are typically contaminated with metals, metalloids, saline or acidic/alkaline and rarely approach natural water body chemistry. Physically, pit… Show more
“…This might contribute to the improvement of the water balance (Kowalewski 2008; Łabędzki 2016; Mosiej 2014) and mitigate the consequences of water deficits. Depending on the quality of the retained water, it may be used, among others, for irrigation purposes (the Strzelin County is an agricultural area), supplying rivers and streams in times of low water level, providing water to residents and to the industry and water recreation (Ceppi et al 2014;Doupé and Lymbery 2005;Hinwood et al 2012;Kumar et al 2009;McCullough and Lund 2006;Ravazzani et al 2011;Schultze et al 2010;Singleton et al 2013;Soni et al 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Increasing the volume of retained water by creating various forms of small-scale retention can increase water resources and improve the rational management of such resources, especially from a local and regional perspective (Łabędzki 2016;Linnerooth-Bayer et al 2015; Ministry of the Environment 2013; Mioduszewski et al 2014;Szwed 2015). This is particularly important in areas with limited water resources (Ceppi et al 2014;Kumar et al 2009;Ravazzani et al 2011).…”
A digital terrain model of the Strzelin granite quarry was created from ISOK project data obtained from airborne laser scanning (ALS). Based on 2009, 2012, and 2014 data, the volume of water in the Strzelin quarry's two excavations were determined. Additionally, the predicted volume of retained water after mining ceases was calculated, assuming a water level of 150.0 m a.s.l. In 2014, the two reservoirs retained, respectively, ≈ 0.14 and 0.01 million m 3 of water. If the two pits are eventually connected, ≈ 6.6 million m 3 of water could be retained. Including the 2014 water volume as a small-scale retention basin would increase the volume of retained water in the Ślęza catchment and Strzelin County by 19.0%, and 34.2%, respectively. The hypothetical reservoir created after mining ends would increase small-scale (reservoir and pond) retention ≈ 8 times in the Ślęza catchment and ≈ 15 times in the County, constituting a significant improvement.
“…This might contribute to the improvement of the water balance (Kowalewski 2008; Łabędzki 2016; Mosiej 2014) and mitigate the consequences of water deficits. Depending on the quality of the retained water, it may be used, among others, for irrigation purposes (the Strzelin County is an agricultural area), supplying rivers and streams in times of low water level, providing water to residents and to the industry and water recreation (Ceppi et al 2014;Doupé and Lymbery 2005;Hinwood et al 2012;Kumar et al 2009;McCullough and Lund 2006;Ravazzani et al 2011;Schultze et al 2010;Singleton et al 2013;Soni et al 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Increasing the volume of retained water by creating various forms of small-scale retention can increase water resources and improve the rational management of such resources, especially from a local and regional perspective (Łabędzki 2016;Linnerooth-Bayer et al 2015; Ministry of the Environment 2013; Mioduszewski et al 2014;Szwed 2015). This is particularly important in areas with limited water resources (Ceppi et al 2014;Kumar et al 2009;Ravazzani et al 2011).…”
A digital terrain model of the Strzelin granite quarry was created from ISOK project data obtained from airborne laser scanning (ALS). Based on 2009, 2012, and 2014 data, the volume of water in the Strzelin quarry's two excavations were determined. Additionally, the predicted volume of retained water after mining ceases was calculated, assuming a water level of 150.0 m a.s.l. In 2014, the two reservoirs retained, respectively, ≈ 0.14 and 0.01 million m 3 of water. If the two pits are eventually connected, ≈ 6.6 million m 3 of water could be retained. Including the 2014 water volume as a small-scale retention basin would increase the volume of retained water in the Ślęza catchment and Strzelin County by 19.0%, and 34.2%, respectively. The hypothetical reservoir created after mining ends would increase small-scale (reservoir and pond) retention ≈ 8 times in the Ślęza catchment and ≈ 15 times in the County, constituting a significant improvement.
“…The major environmental impacts on the surrounding areas and on human health are well documented by several authors' in different times (Dhar, 1993 Pit lakes have unique physical property than other water body. Nevertheless, pit lake waters often constitute a vast resource but of limited beneficial use (due to water quality issues); with a potential to contaminate regional surface and ground water resources (Kumar et al, 2009). Their value as resources for recreation, fisheries, water supply, and wildlife habitat depends mostly on their topography, their safety.…”
Aim:The aim of the study was to monitor the water quality of ten pitlakes which were located in Raniganj coal field area, West Bengal for three successive seasons during April 2014 to March 2015.
Methodology:In this study, physicochemical parameters of water samples were analyzed following standard methods. Statistical analyses were used to indicate the role of each parameter.Result: Significant positive correlation was noted within hardness and chloride. The nature of the pitlakes is generally alkaline. A mean value of pH 7.65 were recorded which ranged between 6.70 and 9.10 during the study period. Significant variation found among other parameters of pitlakes. PCA reveals three most important and key influential parameters -Hardness, Chloride and Nitrate Nitrogen content of pitlake water.
Conclusion:This observation indicates that mine waters differ in its composition with seasonal changes and having capability to change their nature with time.
“…It is not known how many pit lakes exist in Australia, although, it has been estimated that there are more than 1,800 mine pits in Western Australia that could potentially form pit lakes (Johnson and Wright, 2003). These new mining pit lakes have few natural counterparts in Australia, especially in depth (Kumar et al, 2009). The mining areas also occur across a broad range of climatic regions, however, approximately one-third of Australia is arid with rainfall less than 250 mm per year and another one third is semi-arid (250-500 mm per year).…”
Mining pit lakes can form in open cut mining pits that extend below the groundwater table. Final lake surface levels generally represent the greatest risk of pit lake closure to stakeholders through potential to overflow and discharge to regional surface water bodies and groundwater resources. An essential prerequisite for managing this risk is a good understanding of the lake's water budget. Pit lakes in the Collie Coal Basin ,Western Australia form a lake district currently consisting of 13 lakes exceeding a total volume of 200 GL of acid and metalliferous (AMD) degraded water. Given long-term risks for off-site contamination, regulatory agencies often rely on geochemical predictions of future pit lake water quality to evaluate closure strategies that protect the surrounding environment. Using an existing regional groundwater model, we modelled representative pit lake types in the Collie Lake District, southwestern Australia, to determine different regional groundwater abstraction regime effects on pit lake water levels. PITLAKQ was used to model three different lakes representing three distinct lake types identified by conceptual modelling: Historic (around 50 years old), New/Rehabilitated, and New/ Un-rehabilitated (both around 5-15 years old). An accurate representation of the water level-volume relationships was developed before all available data on major hydrological sinks and sources such as groundwater inflow/outflow, surface water inflow/outflow, as well as precipitation and evaporation were considered in lake water budget calculations. Although we found large deviations between measured and calculated water levels we could show reasonable limits for groundwater inflows and outflows by examining different scenarios. Reciprocally, this improved the groundwater model(s) suggesting coupling fine-scale pit lake models with groundwater models to identify the data quality for sinks and sources as an approach for other pit lake models. Our modelling scenarios showed that planned groundwater abstraction regime changes would lead to only limited changes in lake water depth compared to modelling uncertainties resulting from limited available data and the use of a regional groundwater model. This example illustrates pit lake modelling with low data availability still allows useful scenario testing under different operational scenarios.
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