Long-Term Time-Series Analysis to Understand Groundwater Flow in Abandoned Subsurface Mines with Application to a Coalfield in Liège, Belgium

Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas...

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Bibliographic Details
Published in:Mine water and the environment 2018-09, Vol.37 (3), p.470-481
Main Authors: Ronchi, B., Stassen, F., Drevet, J.-P., Frippiat, C. C., Berger, J.-L., Dingelstadt, C., Veschkens, M.
Format: Article
Language:English
Subjects:
Abandoned mines
Aquifers
Coal
Computer simulation
Data processing
Drainage
Earth and Environmental Science
Earth Sciences
Ecotoxicology
Exploitation
Flooding
Floods
Flow rates
Flow velocity
Geology
Groundwater
Groundwater flow
Hydraulics
Hydrogeology
Industrial Pollution Prevention
Mine flooding
Mineral Resources
Mines
Mining
Mining accidents & safety
Outbreaks
Permeability
Rain
Slope stability
Statistical analysis
Statistical methods
Statistics
Storage capacity
Storage conditions
Technical Article
Three dimensional flow
Three dimensional models
Time series
Transmissivity
Underground mines
Water levels
Water Quality/Water Pollution
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Summary:Complex underground flow processes can occur in flooded mine workings. As the groundwater rebounds, outbreaks, flooding, and slope stability problems can occur where hydraulic pressures build up in less drained areas. A time-series statistical analysis was conducted to understand how exploited areas in an abandoned coalfield were connected and to calculate groundwater response times to rain events by spatially and temporally correlating piezometric levels and discharge rates. Ten years of flow rate and water level data were statistically analyzed for an abandoned coalfield in Liège (Belgium). Then, the results were compared to results from physically-based simulations (a 3D groundwater flow model) based on data from the first 2 years of monitoring. The statistical approach gives qualitative indications on the interconnections between the different areas of the coalfield, as well as on the storage capacity/transmissivity of the aquifer. Improved understanding of this hydrogeological behavior can be used to prevent post-mining accidents and assess the associated risks.
ISSN:1025-9112
1616-1068
DOI:10.1007/s10230-018-0528-y