Soils were created in millennia by the interaction of diverse natural processes. For centuries, however, they have increasingly been shaped by human activities such as land use and material inputs. For most inorganic substances, the starting substrate of soil formation determines the natural (geogenic) basic content of a soil. In addition, there is an anthropogenic component, whereby the ratio of geogenous and anthropogenic proportion varies greatly in element-specific terms. Background values characterize the typical background contents of a substance or group of substances in the soil. In accordance with the procedure of the Federal-State Working Group on Soil Protection (LABO), the 50. percentile (median) and the 90th percentile (median). The percentile is used. The median represents the median background content, which is 90. Percentile is the upper limit of the typical background content. For the purposes of determining background levels, the anthropogenic fraction shall not come from an identifiable individual source or source of pollution. Rather, they must be diffuse, i.e. they must be the result of general large-scale (ubiquitous) distributions of substances over longer periods of time. Specifically polluted soils must therefore be removed from the data before background values are calculated. The substrate is the most important differentiation criterion for natural contents of inorganic substances. The next deeper level of division are horizon groups such as topsoil, subsoil and subsoil. If there is still a sufficient number of cases, the group of topsoil horizons is further subdivided into use classes. The State Office for Geology and Mining Rhineland-Palatinate has been dealing with physical and chemical investigations of soils for many years within the framework of the land survey as well as through cooperation with other state authorities. The information bases could be significantly improved with data collected during the project Bodenbelastungskataster Rheinland-Pfalz. Since this project, comprehensive soil investigations have been successively continued with the Rhineland-Palatinate Soil Status Report. This long-term project of the Ministry of the Environment, Forests and Consumer Protection is carried out on behalf of the State Office for the Environment, Water Management and Trade Inspectorate. In the meantime, about 18 percent of the country's area with at least one investigated site per km2 has been recorded. The data basis for the spatial distribution of the substrate groups comes from the soil specialist information system (FISBO) of the LGB. This system manages data from boch heterogeneous soil mapping (scale 1:25,000 to 1:200,000). Although this leads to recognizably different resolutions and differentiation problems, these data are suitable for nationwide surveys in small-scale applications above the scale of 1:50,000, despite their inhomogeneity. Further information on this topic can be found in the loose-leaf collection background values of the soils of Rhineland-Palatinate.:As a 90.P background value, this is 90. Percentile of a Data Collective. It is the value at which 90% of the cases observed so far have lower levels. The calculation is made after the data group of outliers has been cleaned up. The 90. The percentile often serves as the upper limit of the background range to delineate unusually high levels. The total content is determined from the aqua regia extract (according to DIN ISO 11466 (1997)). The concentration is given in mg/kg. The salary classes take into account, among other things, the pension values of the BBodSchV (1999). These are 20 mg/kg for sand, 40 mg/kg for clay, silt and very silty sand and 60 mg/kg for clay. According to LABO (2003) a sample count of >=20 is required for the calculation of background values. However, the map also shows groups with a sample count >= 10. This information is then only informal and not representative.

Abstract

This dataset was derived by the Bioregional Assessment Programme. The parent 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.

This dataset contains raster data layers estimating the rate of groundwater recharge for each hydrogeological formation in the Galilee subregion, by a chloride mass balance method. This method compares groundwater chloride concentrations (GUID: 6b1a0358-40d6-4bcf-b864-28cb2c823fd1) with chloride deposition in rainfall (GUID: c1649bd7-227f-41ff-9964-b55479bef640) for each hydrogeological formation. Cell values for each raster represent a rate in mm/year.

Purpose

This dataset is created to provide groundwater recharge volume estimates as an input into the Galilee groundwater model. For the purposes of the model, boundary extents used in the calculations are simplified and estimates should be used with caution if using for another purpose.

Dataset History

To create the recharge extent grids, the input data went through the following processes:

1. Groundwater chloride concentration (Point data to raster)

Using the 'Topo to Raster' Tool in ArcCatalog, the input chloride data (GUID: 6b1a0358-40d6-4bcf-b864-28cb2c823fd1) for each hydrogeological formation's outcrop extent was converted into a raster dataset using the following parameters:

Feature layer - Input chemistry point data (GUID: 6b1a0358-40d6-4bcf-b864-28cb2c823fd1)

Field - Cl

Type - Point Elevation

Output cell size - 0.01

Output extent - Recharge outcrop (GUID: b0f0385e-c456-4fa4-9cdb-a5441cca407b)

Margin in cells - 20

Smallest z value to be used in interpolation - 10th percentile of Chloride Values

Largest z value to be used in interpolation - 90th percentile of Chloride Values

Drainage enforcement - NO_ENFORCE

Primary type of input data - SPOT

Maximum number of iterations - 40

1. Output Chloride grid clipped to recharge boundary

Using the 'Extract by Mask' tool in ArcCatalog, the newly created chloride raster was clipped to the boundary of the recharge extent for each formation from the Galilee Groundwater Model, Hydrogeological Formation Recharge (Outcrop) Extents v01 (GUID: b0f0385e-c456-4fa4-9cdb-a5441cca407b) dataset.

1. Chloride mass balance calculation between the groundwater chloride raster and the chloride deposition in rainfall raster (cl_deposition_final ascii file from the dataset - Australian 0.05º gridded chloride deposition v2 - GUID: c1649bd7-227f-41ff-9964-b55479bef640).

Using the 'Raster Calculator' Tool in Arc Catalogue the following statement was used to calculate the final recharge estimate for each formation: (\[cl_deposition_final\]" \* 100) / \[clipped groundwater chloride raster\]

Dataset Citation

Bioregional Assessment Programme (2015) Galilee model recharge estimates: chloride mass balance v02. Bioregional Assessment Derived Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/d42a8497-9d67-42ad-9e7d-70a8d519875f.

Dataset Ancestors

• Derived From Galilee Hydrochemistry: Quality control for Chloride model recharge v02

• Derived From Queensland petroleum exploration data - QPED

• Derived From Three-dimensional visualisation of the Great Artesian Basin - GABWRA

• Derived From Phanerozoic OZ SEEBASE v2 GIS

• Derived From Galilee Groundwater Model, hydrogeological formation recharge (Outcrop) extents v01

• Derived From QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808

• Derived From Galilee Groundwater Model, Hydrogeological Formation Extents v01

• Derived From GAL Aquifer Formation Extents v01

• Derived From Queensland Geological Digital Data - Detailed state extent, regional. November 2012

• Derived From QLD Geological Digital Data - QLD Geology, Structural Framework, November 2012

• Derived From Australian 0.05º gridded chloride deposition v2

• Derived From GAL Aquifer Formation Extents v02

This table contains 1800 series, with data for years 2013 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Measures (5 items: Benzene; Ethylbenzene; m- & p-Xylene; Total xylenes; ...); Sex (3 items: Both sexes; Males; Females); Age group (5 items: Ages 12 to 79; Ages 12 to 19; Ages 20 to 39; Ages 40 to 59; ...); Categories (8 items: Geometric mean; 5th percentile; 10th percentile; 25th percentile; ...); Characteristics (3 items: Estimate; Low 95% confidence interval, estimate; High 95% confidence interval, estimate).