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Related Experiment Video

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Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

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Published on: November 18, 2015

Hydrological classification of mine pit lakes using modelling experiments.

Benedictor Kemanga¹, Neil McIntyre², Nevenka Bulovic¹

¹Centre for Water in the Minerals Industry, Sustainable Minerals Institute, The University of Queensland, Brisbane, Australia.

Journal of Environmental Management

|October 24, 2024

Summary

This summary is machine-generated.

Sustainable mine closure requires understanding pit lake hydrology. This study classifies pit lakes based on climate and conductivity, simplifying risk assessment for mine voids.

Keywords:

Groundwater Lake classification Open pit mine Pit lake Water balance model

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Area of Science:

Environmental Science
Hydrogeology
Geotechnical Engineering

Background:

Global open-pit mining necessitates sustainable mine closure and pit lake management.
Pit lake interactions with groundwater and surface water are crucial for risk assessment.
Existing studies lack a general hydrological classification of pit lakes based on geographical context.

Purpose of the Study:

To develop a general understanding and hydrological classification of pit lakes.
To examine the influence of geographical factors on pit lake behavior post-closure.
To assess the long-term interactions between pit lakes, groundwater, and surface water.

Main Methods:

Utilized an integrated generic pit lake water balance model.
Simulated 243 scenarios considering climate, hydraulic conductivity, groundwater level, catchment area, and pit slope.
Assessed pit lake attributes (water level, time to equilibrium, recharge/overflow fractions) up to 6000 years post-closure.

Main Results:

Developed a five-class hydrological classification for pit lakes.
Climate and hydraulic conductivity reliably predict long-term pit lake hydrology in many contexts.
Classification accuracy requires refinement in non-arid climates with high rainfall variability.

Conclusions:

A generalized pit lake classification is feasible using broad geographical data.
This classification aids initial risk assessments, guiding the need for site-specific modeling.
The findings support more sustainable mine life cycle planning and closure strategies.