MBC Groundwater model mine footprints

## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.\n\n\n\nThis is the source data set of the shapefiles of the baseline and CRDP mines received from the Office of Groundwater Impact Assessment (OGIA).\n\n\n\nThe shape files were required to identify the MODFLOW model cells that are within the bounds of the coal mine shape files. After identifying these model cells a head boundary condition was defined for these cells by means of a drain package. Drain package simulates the groundwater extraction from the coal mines to keep the water level below the pit bottom.\n\n## **Purpose** \n\nThe data set is used to prepare a modified drain package for the OGIA groundwater model for Bioregional Assessments specific model runs.\n\nThe shape files were required to identify the MODFLOW model cells that are within the bounds of the coal mine shape files. After identifying these model cells a head boundary condition was defined for these cells by means of a drain package. Drain package simulates the groundwater extraction from the coal mines to keep the water level below the pit bottom.\n\n## **Dataset History** \n\nThis is a source data set received from Office of Groundwater Impact Assessment Queensland Government. Groundwater modelling in the MBC subregion required groundwater extraction from the coal mines to be simulated as a boundary condition. The mine foot prints were sourced as shape files from OGIA and is registered as this data set. Foot prints corresponding to 5 baseline mines and 2 CRDP mines are present in this dataset. A drain package for modflow was written based on these input data sets and is registered as part of the model input files.\n\n## **Dataset Citation** \n\nQueensland Office of Groundwater Impact Assessment (2015) MBC Groundwater model mine footprints. Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/6c87cc94-7186-4fdd-a58c-6d52dc5856b1.