Dataset: CLM - Interpolated piezometric surfaces for Gatton sandstone


Description

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Contains the files and R scripts used for creating interpolated surfaces of depth to groundwater and contour maps of piezometric surfaces for dry (200 - 2007) and wet (2008 - 2012) periods in the the Gatton Sandstone. Piezometric surfaces and depth to groundwater surfaces are created using ordinary kriging in R. The data used come from the bores in the QLD and NSW groundwater databases (see data lineage).

Dataset History

Groundwater hydraulic head data from the NSW and QLD databases (see data lineage) was extracted by selecting only those data collected between 2000 and 2012 and that fell within the boundary shapefiles for the alluvial bodies. Elevation data from the DEM was appended to the spatial locations for each groundwater bore in the dataset. Ordinary kriging was then performed in R to create interpolated surfaces for depth to groundwater and piezometric surfaces. The kriging makes use of the digital elevation model as a covariate for aiding prediction. The R scripts output pdf maps of the surfaces for the Gatton Sandstone. Maps are produced for for the dry period (2000 - 2007) and wet period (2008 - 2012) and show the predicted surface in addition to the prediction standard deviation.

The R script also outputs the rasters used to create these maps to .asc files (ascii grids). There are four such ascii grids:

  1. PiezometricSurface_Dry.asc (the estimated piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

  2. PiezometricSurface_SD_Dry.asc (the estimated standard deviation of the piezometric surface in the dry years which has been clipped to shapefiles to produce the .pdf maps)

  3. PiezometricSurface_Wet.asc (the estimated piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

  4. PiezometricSurface_SD_Wet.asc (the estimated standard deviation of the piezometric surface in the wet years which has been clipped to shapefiles to produce the .pdf maps)

Dataset Citation

Bioregional Assessment Programme (2014) CLM - Interpolated piezometric surfaces for Gatton sandstone. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/d5843d63-e5c0-4644-9de6-783db2eb36b0.

Dataset Ancestors

General Information

Distributions