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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Groundwater is the water that soaks into the ground from rain and can be stored beneath the ground. An aquifer is a body of rock and/or sediment that holds groundwater. There are two main types of aquifer in Ireland &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;–&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; bedrock aquifers, and sand and gravel aquifers. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Bedrock is the solid rock at or below the land surface. Over much of Ireland, the bedrock is covered by materials such as sands and gravel. The sands and gravels occur naturally on top of the bedrock. They were laid down by meltwater from melting ice sheets, by rivers, or by wind. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;There are two main types of bedrock aquifer. In most of them, groundwater flows through fractures and fissures. In about half of the limestone rocks, groundwater flows through cavities and caves. This type of limestone is called karst. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Not all sand and gravel layers are aquifers. This is because some of them are very thin or are dry. If the sands and gravels are saturated with water, they have the potential to supply large volumes of water through wells or springs. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The aquifer maps show the potential of areas in Ireland to provide water supplies. There are three main groups based on their resource potential:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Regionally important &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;–&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; the aquifers are capable of supporting large public water supplies sufficient to support a large town; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Locally important &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;–&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; the aquifers are capable of supporting smaller public water supplies or group schemes; &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Poor &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;–&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt; the aquifers are only capable of supporting small supplies, such as houses or farms, or small group schemes.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The three main groups are broken down into nine aquifer categories in total. Please read the lineage for further details.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Information used to assign bedrock aquifer categories include: rock type (Hydrostratigraphic Rock Unit Groups - simplified bedrock geology with similar hydrogeological properties), &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;yield (existing wells and springs), permeability and structural characteristics. All of the information is interpreted by a hydrogeologist and areas are drawn on a map to show the aquifers.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;This Bedrock Aquifer map is to the scale 1:100,000 (1 cm on the map relates to a distance of 1km).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The bedrock aquifer data is shown as polygons. Each polygon holds information on the aquifer code, description, rock unit name, rock unit description, Hydrostratigraphic Rock Unit Group Name, Hydrostratigraphic Rock Unit Group Changes, Bedrock Geology 100k newcode, stratigraphy code (rock layers with age profile), lithology code (rock type), Aquifer Category Original and Comments.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;Geologists record information about how thick the sand and gravel layers on top of the bedrock are. They also note down how big the different grains of sand and gravel are. Information from quarries and deep pits is used. Information from boreholes (a deep narrow round hole drilled in the ground) is also used. All of the information is interpreted by a hydrogeologist and areas are drawn on a map to show the aquifers&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Sand and Gravel Aquifer map is to the scale 1:40,000 (1 cm on the map relates to a distance of 400 m).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;It is a vector dataset. The sand and gravel aquifer data is shown as polygons. Each polygon holds information on the aquifer code, description, name, comments and confidence level associated with the delineation of the area as an aquifer.&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The Aquifer Geological Lines shows the details of the structural geology; faults and thrusts. Faults are the result of great pressure being applied to rock across a whole continent or more. These rocks break under the pressure, forming faults. Faults are recorded as lines where the break in the rock meets the surface. A thrust fault is a break in the Earth's crust, across which older rocks are pushed above younger rocks.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;Geologists map and record information on the composition and structure of rock outcrops (rock which can be seen on the land surface) and boreholes (a deep narrow round hole drilled in the ground). Lines are drawn on a map to show the structure. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;To produce this dataset, the twenty one 1:100,000 paper maps covering Ireland were digitised and any inconsistencies between map sheets were fixed. We collect new data to update our map and also use data made available from other sources. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;This map is to the scale 1:100,000 (1cm on the map relates to a distance of 1km).&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 14 0;"&gt;&lt;SPAN&gt;It is a vector dataset. The Geological Lines data is shown as lines. Each line holds information on: description of the line, bedrock 100k map sheet number, line code and name (if it has one).&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>Groundwater is the water that soaks into the ground from rain and can be stored beneath the ground. An aquifer is a body of rock and/or sediment that holds groundwater. There are two main types of aquifer in Ireland: bedrock aquifers and sand and gravel aquifers. Bedrock aquifers are found in cracked bedrock and in limestone bedrock which has been partly dissolved to create cavities. Groundwater resources can also occur in large deposits of sand and gravel.
Aquifer maps help us locate groundwater resources which can be used to supply drinking water. Knowing where and in what amounts groundwater can be found is important. It helps us plan where water supplies for communities and towns can be developed. The data can also help to protect drinking water. Rock properties and structures such as faults impact how water and/or pollutants move below the surface. Drinking water can be protected by locating potential polluting operations, such as landfills, away from groundwater.
Geothermal energy is the energy stored in the form of heat beneath the surface of the earth. It can be used to supply heat and hot water. It can also be used to cool a house by removing surplus heat energy and putting it into the ground. Aquifer maps along with subsoil and bedrock maps are used to help decide if the ground under a site is suitable for geothermal energy extraction.
Engineers need this information when they are designing structures (houses, buildings, roads, etc.). They need to know the quality of the ground (strength and depth of soil, if rock and or groundwater is present) and how structures can be built in and on it. They use the information to decide the best supports and foundations needed for structures so that they don’t collapse. They can also find out if there are any underground obstructions, groundwater, faults etc which could result in additional costs or delays. If there is a fault then the rock will be cracked and broken underground, which is much weaker. The engineers need to know where the faults are when they...</idPurp>
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<statement>Sand and Gravel Aquifers
Geologists map and record information on the composition and structure of sand and gravel subsoil types and the composition of these, and information from boreholes (a deep narrow round hole drilled in the ground). Areas are drawn on a map to show the distribution of the sand and gravel subsoil types.
The map was created using the following datasets: Teagasc subsoils 1:40,000 (Teagasc/EPA), Quaternary 1:40,000 (GSI), wells and springs database (GSI), exposures database (GSI), Sand and Gravels Aquifer map (GSI).
There are two sand and gravel aquifer categories:
• Rg - A sand/gravel aquifer is classed as regionally important if it can supply regionally important abstractions (e.g. large public water supplies with ‘excellent’ yields &gt;400 m3/d). It is highly permeable, more than 10 m thick or has a saturated thickness of at least 5 m, and should extend over at least 5 km2, and usually over 10 km2. • Lg - Locally Important Sand/Gravel Aquifer: Similar to a Regionally Important Sand/Gravel Aquifer (Rg), but with a smaller continuous area (c.1-10 km2) and/or less consistent permeability. Although the aquifer may supply ‘excellent’ yields, the smaller size limits the amount of recharge available to meet abstractions. The sand and gravel aquifer data are shown as polygons. Each polygon holds information on:
• ‘Gravel body’ – the name of the aquifer
• ‘Aquifer Category’ – aquifer category code
• ‘Aquifer Description’ – description of the aquifer category
• ‘Comments’ – notes regarding the area
• ‘Confidence’ – a confidence level associated with the delineation of the area as an aquifer
To create the map, initially, the Quaternary Sediments 1:50,000 Ireland (ROI) ITM dataset was used for the extraction of all sand and gravel bodies across Ireland. These were then screened in ArcGIS (ArcMap v. 9.3), and small areas that did not have the required area for a Locally Important Sand and Gravel Aquifer were excluded. Where it was known that the surface expression of sands and gravels was only a small portion of the subsurface body, and where most of the sands and gravels were thus buried by other sediments, such areas were retained. This process left several hundred sand and gravel bodies remaining as a starting point for field work.
Field work included a visit to each of the areas which had the potential to be (at least) a Locally Important Sand and Gravel Aquifer owing to its area. In such areas, gravel pits and sand pits were visited and depth and type of sediment recorded, other exposures into the subsurface were visited and logged, wells (whether Public Supply, Group Scheme or private farm or domestic) were dipped and any information on depths recorded, and data was collected where geological and hydrogeological data existed for the area.
Back in the office, data were then entered and where a sand and gravel body had qualifying aquifer properties (either 10m depth sand and gravel, or 5m depth saturated sediments), these areas were digitised in ITM on ArcMap v. 9.3. Zones which would then become drawn down if pumping from this area of qualifying aquifer properties, but themselves had not sufficient depth to qualify as an aquifer, were also outlined. The area which actually formed the aquifer body was then ascertained and drawn up. Such areas formed the basic building blocks for the sand and gravel aquifer shapefile, which included details on the aquifer name, area, type of aquifer (Rg or Lg), confidence level, county, and any important aspects to note for each body. A legend was generated for this shapefile, and a style file produced.
Work was carried out by GSI staff in close collaboration with Quaternary geologists and hydrogeologists, and the final product was quality checked.
Data topology was also checked. Errors noted and recorded were corrected.
Data topology was checked.
In some counties, sand and gravel aquifer maps from GWPSs prior to 2000 were available. These counties included Clare, Donegal, Laois, Limerick, Louth, Meath, Roscommon, Offaly, Tipperary North Riding and Wicklow.
Teagasc mapped the distribution of sand and gravel subsoils in the late 1990s and early 2000s, as part of the EPA /Teagasc Soil and Subsoil Mapping Project. This led to the production of a map in 2006 showing where sands and gravels lay under the ground surface across the entirety of the Republic of Ireland. Data were digitized using ATLAS photogrammetric software and converted to ArcGIS 8.x shapefiles. The Sand and Gravel aquifer map that included the GWPS county aquifers was updated using the new Teagasc subsoils map in the period January to December 2008, to create the first National Sand and Gravel aquifer map. Small updates to this map were made at different localities in 2010, 2011, 2013 and 2014 on the basis of new information received.
GSI further refined the Quaternary map in 2014, when the All Ireland Quaternary Map coverage was produced. This coverage was a GIS shapefile in ITM projection, and coding was used to attach attribute information to the data layers from the table of sands and gravels.
A legend was generated.
Geologists then examined, between 2015 and 2018, all areas of significant sand and gravel deposits across Ireland (over two hundred and fifty separate areas). Data were collected from sand and gravel pits, trenches, and other exposures, and three dimensional cross sectional models of the sand and gravel bodies were produced. The amount of annual throughput (which is the amount of groundwater available in the sand and gravel body, arising from the infiltration of rainwater into them) was then calculated, for each of the areas. Those bodies that had significant amounts of throughput available were classed as aquifer, and ranked in terms of their importance. Naming conventions were standardized.
Data topology checked.
In 2021, the data structure was reviewed and a new database was created in ArcGIS Enterprise.
Using ArcGIS Pro 2.6.3, the dataset was renamed as part of a GSI data standardisation process. Sand_and_Gravel_Aquifer_40K_IE26_ITM
A standardised dataset alias was added.
A unique id field was added.
A new unique identifier was added for each record using an attribute rule.
Most fields were renamed and an alias added.
Domains were created for relevant fields to ensure attribute integrity for those fields. The attribute values can only be added from pre-defined GSI tables in the form of drop-down values.
Attribute rules were set up to automatically insert certain values eg unique identifier.
The data was cleaned using a GSI notebook. This checked the attribute values contained valid domain values and a spell check was carried out. Some manual cleaning of obvious errors was also carried out.
Metadata was updated to new GSI standard.
Bedrock Aquifers
The process of assigning each aquifer to an appropriate category is termed ‘aquifer classification’. The detailed criteria and process can be found here: https://www.gsi.ie/en-ie/publications/Pages/GSI-aquifer-classification-flowchart.aspx.
Bedrock aquifer classification is based firstly on the rock type (lithology), and the 1:100,000 simplified bedrock map is used as a basis. This dataset is called the Hydrostratigraphic Rock Unit Groups 1:100,000 Ireland (ROI) ITM, which was generalised to 27 hydrostratigraphic units. Yield is one of the main concerns in aquifer development projects, yields from existing wells are conceptually linked with the main aquifer categories:
• Regionally important (R) aquifers should have (or be capable of having) a large number of ‘excellent’ yields: in excess of approximately 400 m3/d (4,000 gph). • Locally important (L) aquifers are capable of ‘good’ well yields 100-400 m3/d (1,000-4,000 gph).
• Poor (P) aquifers would generally have ‘moderate’ or ‘low’ well yields - less than 100 m3/d.
However, existing well yield information is often difficult to use because reliable, long term yield test data are quite rare (particularly for the less productive aquifers). In practice, then, the following criteria are used in aquifer classification:
• Permeability and transmissivity data from formal pumping tests, where discharge and water levels readings have been taken over a period of many hours or days.
• Productivity data from wells where either formal pumping tests have been undertaken or where at least one combined reading of discharge and drawdown data are available. The GSI has developed the concept of ‘productivity’ as a semi-quantitative method of utilising limited well test data (Wright, 2000). A ‘productivity index’ is assigned to a well from one of five classes: I (highest), II, III, IV, and V, using a graphical comparison of well discharge with specific capacity.
• Occurrence of springs with ‘high’ flows (greater than 2160 m3/day total flow).
• Occurrence of wells with ‘excellent’ yields (greater than 400 m3/day discharge).
• Hydrological information such as drainage density where overlying strata are thin, and baseflows or flows in rivers (better aquifers will support higher baseflows and summer flows).
• Lithological and/or structural characteristics of geological formations which indicate an ability to store and transmit water. Clean washed and sorted sands and gravels for example, are more permeable than poorly sorted glacial tills. Clean limestones are also more permeable than muddy limestones. Areas where folding and faulting has produced extensive joint systems tend to have higher permeabilities than areas where this has not occurred.
• Aquifer assessments from Groundwater Protection Schemes in neighbouring counties and from existing reports.
All seven factors are considered together; productivity and permeability data are only given ‘precedence’ over lithological and structural inferences where sufficient data are available. Data from neighbouring counties in similar geological environments are included.
Some bedrock units have been grouped if they are of similar geological age and have similar lithological/structural characteristics. In considering the classifications provided, it is important to note that:
• The bedrock aquifer classifications are based on the bedrock units mapped by the Bedrock Section of the Geological Survey Ireland at 1:100,000 scale - Bedrock Geology 1:100,000 Ireland (ROI) ITM
There are seven bedrock aquifer categories:
Regionally Important Aquifers: can support regionally important abstractions (e.g. large public water supplies), or give excellent yields (&gt;400 m3/d). Bedrock aquifer units generally have a continuous area of &gt;25 km2 and groundwater predominantly flows through fractures, fissures, joints or conduits. Regionally important sand/gravel aquifers are &gt;10 km2, and groundwater flows between the sand and gravel grains.
This group is subdivided into the following types:
• Rk Regionally Important Karstified Bedrock Aquifer
• Rf Regionally Important Fissured Bedrock Aquifer
Regionally important karstified aquifers can be subdivided if it is known that groundwater flows mainly through conduits (Rkc) or more diffusely through solutionally-enlarged fissures (Rkd).
Locally Important Aquifers: can support locally important abstractions (e.g. smaller public water supplies, group schemes), or give good yields (100-400 m3/d). In the bedrock aquifers, groundwater predominantly flows through fractures, fissures, joints or conduits. Locally important sand/gravel aquifers are typically &gt;1 km2, and groundwater flows between the sand and gravel grains.
This group is subdivided into the following types:
• Lm Locally Important Bedrock Aquifer, Generally Moderately Productive
• Ll Locally Important Bedrock Aquifer, Moderately Productive only in Local Zones
• Lk Locally Important Karstified Bedrock Aquifer
Poor Aquifers: are capable of sustaining small abstractions (e.g. domestic supplies, small group schemes), or moderate to low yields (&lt;100 m3/d). Groundwater predominantly flows through a limited and poorly-connected network of fractures, fissures and joints.
This group is subdivided into the following types:
• Pl Poor Bedrock Aquifer, Generally Unproductive except in Local Zones
• Pu Poor Bedrock Aquifer, Generally Unproductive
All work on the data was carried out in ArcGIS.
In 2021, the data structure was reviewed and a new database was created in ArcGIS Enterprise.
Using ArcGIS Pro 2.6.3, the dataset was renamed as part of a GSI data standardisation process. A standardised dataset alias was added.
A unique id field was added.
A new unique identifier was added for each record using an attribute rule.
Most fields were renamed and an alias added.
Domains were created for relevant fields to ensure attribute integrity for those fields. The attribute values can only be added from pre-defined GSI tables in the form of drop-down values.
Attribute rules were set up to automatically insert certain values eg unique identifier.
The data was cleaned using a GSI notebook. This checked the attribute values contained valid domain values and a spell check was carried out. Some manual cleaning of obvious errors was also carried out.
Metadata was updated to new GSI standard.
Aquifer Geological Lines 1:100,000 Ireland (ROI)
Originally, the lines were hand drawn on paper maps. All bedrock 100k map sheets (21) are available in paper copy accompanied by a geological report.
Phase 1: The 21 paper maps covering Ireland were digitised.
Each map was manually digitised using AutoCAD 12.0 software.
Several layers of data were created for each map sheet: Stratigraphy, Lithology, Igneous, Diagenetic, Dynamic, Thermal, Linework and Point symbols and stored in .dwg format.
The data was registered to the OSi 1:100,000 digital rasters.
The data was clipped to the OSi coastline (high water mark).
Water bodies such as lakes were also clipped.
Irish National Grid (IG) projection.
Phase 2: Data was converted to ArcInfo coverages (1994-2003) IG
AutoCAD layers were converted to .dxf format and imported into ArcInfo 7.x. Coding was used to attach attribute information to the data layers from the bedrock lexicon table.
A legend was generated.
The ArcInfo coverages were converted to shapefiles.
Phase 3: Borders and overlaps between map sheets were removed. IG.
ArcGIS 8.x and Microsoft Access were used.
Access was used to join additional attributes to the data layers including a unique code called NEWCODE.
ArcGIS 8.x was used to manually remove borders and overlaps and to fill gaps.
Work was carried out by GIS staff in close collaboration with bedrock geologists.
The final product was quality checked by bedrock geologists.
A stylefile was generated.
Shapefiles produced were: 1) Final100kunion.shp - A polygon shapefile that contains bedrock geological information on Stratigraphy, Igneous, Lithology and Diagentic codes, their unit names and descriptions,
2) Index100Map.shp – A polygon index of 1:100,000 scale map sheets to allow sheet number identification at 100,000 scale. 3) Final100kstruc.shp (Structural Linework) - A line shapefile that contains structural geological linework codes and descriptions.
4) Final100kstra.shp (Stratigraphic Linework) - A line shapefile that contains stratigraphic geological line codes and descriptions. 5) Cross100ksection (Cross sections) - A line shapefile that contains map sheet cross sections as per paper printed maps and provides links to the cross sections in image format. 6) Final100kmin.shp - A point shapefile containing selected mineral and quarry descriptions from Bedrock 1:100,000 map series. In 2021, the data structure was reviewed and a new database was created in ArcGIS Enterprise.
Using ArcGIS Pro 2.6.3, the dataset was renamed as part of a GSI data standardisation process. A standardised dataset alias was added.
A unique id field was added.
A new unique identifier was added for each record using an attribute rule.
Most fields were renamed and an alias added.
Domains were created for relevant fields to ensure attribute integrity for those fields. The attribute values can only be added from pre-defined GSI tables in the form of drop-down values.
Attribute rules were set up to automatically insert certain values eg unique identifier.
The data was cleaned using a GSI notebook. This checked the attribute values contained valid domain values and a spell check was carried out. Some manual cleaning of obvious errors was also carried out.
Metadata was updated to new GSI standard.
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<attrlabl Sync="TRUE">LITH_CODE</attrlabl>
<attalias Sync="TRUE">Lithology code</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Lithology code</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Lithology code</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">RKUNITNAME</attrlabl>
<attalias Sync="TRUE">Rock Unit Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">100</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Rock Unit Name</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Rock Unit Name</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">RKUNITDESC</attrlabl>
<attalias Sync="TRUE">Rock Unit Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Rock Unit Description</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Rock Unit Description</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HYRUGNAME</attrlabl>
<attalias Sync="TRUE">Hydrostratigraphic Rock Unit Group Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">60</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Hydrostratigraphic Rock Unit Group Name</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Hydrostratigraphic Rock Unit Group Name</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">HYRUGAMEND</attrlabl>
<attalias Sync="TRUE">Hydrostratigraphic Rock Unit Group Changes</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Hydrostratigraphic Rock Unit Group Changes</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Hydrostratigraphic Rock Unit Group Changes</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">AQCAT_ORIG</attrlabl>
<attalias Sync="TRUE">Aquifer Category Original</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Aquifer Category Original</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Aquifer Category Original</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">COMMENTS</attrlabl>
<attalias Sync="TRUE">Comments</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Comments</attrdef>
<attrdefs>GSI</attrdefs>
<attrdomv>
<udom>Comments</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<Binary>
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