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Transcript of Arc Hydro Groundwater Data Model Gil Strassberg University of Texas at Austin.
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Arc Hydro Groundwater Data ModelArc Hydro Groundwater Data Model
Gil StrassbergGil Strassberg
University of Texas at AustinUniversity of Texas at Austin
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Pre Conference SeminarPre Conference Seminar 22
OutlineOutline
• Background: objectives, previous designBackground: objectives, previous design
• New design and books, FrameworkNew design and books, Framework
• Groundwater componentsGroundwater components
• ExamplesExamples
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Pre Conference SeminarPre Conference Seminar 33
What is a hydrologic data model?What is a hydrologic data model?
Booch et al. defined a model: “a simplification of reality
created to better understand the system being created”
Objects
Aquifer
stream
Well
Volume
R.M. Hirsch, USGS
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Pre Conference SeminarPre Conference Seminar 44
Developing a groundwater data modelDeveloping a groundwater data model
Groundwater data model(geospatial database)
Time series observations
Geologic maps
Borehole data
Geospatial vector layers
Gridded dataNumerical models
Take a variety of spatial information and integrate into
one geospatial database with a common terminology
• Better communication
• Integration of data
• Base for applications
Hydrostratigraphy
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Pre Conference SeminarPre Conference Seminar 55
Goals of the Arc Hydro groundwater data modelGoals of the Arc Hydro groundwater data model
Develop a geographic data model for representing
groundwater systems.
Objective:
1. Support representation of regional groundwater systems.
2. Support the representation of site scale groundwater data.
3. Enable the integration of surface water and groundwater data.
4. Facilitate the Integration of groundwater simulation models with GIS.
Data model goals:
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Pre Conference SeminarPre Conference Seminar 66
Regional groundwater systemsRegional groundwater systems
• Describe groundwater systems from recharge to discharge
• In many cases assumed as 2D systems, vertical scale >> horizontal scale
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Pre Conference SeminarPre Conference Seminar 77
Site scale dataSite scale data
• Describe groundwater data in a small area of interest.
• Usually includes 3D data (e.g. multilevel samplers, cores).
Photographs provided by Chunmiao Zheng
Multilevel samplers in the MADE site in Mississippi
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Pre Conference SeminarPre Conference Seminar 88
Integration of surface water and groundwater dataIntegration of surface water and groundwater data
• Describe the relationship between surface water features ( e.g.
streams and waterbodies) with groundwater features (aquifers, wells).
• Enable the connection with the surface water data model
Hydro network Aquifers
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Pre Conference SeminarPre Conference Seminar 99
Integration of groundwater simulation models Integration of groundwater simulation models with GISwith GIS
• Define data structures for representing groundwater simulation models within GIS.
• Support spatial and temporal referencing of model data – allows the display and analysis of model data within a “real” geospatial and temporal context.
• Focus on modflow as the standard model used in the groundwater community
Non spatial representation (layer, row, column)
Geospatial representation (x, y, and z coordinates)
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Pre Conference SeminarPre Conference Seminar 1010
Old designOld design
TableHydroGeologicUnit
TableVerticalMeasurements
Raster catalogGeoRasters
HydrogeologyFeature dataset
Polygon feature classAquifer
Subtypes are aquifer boundary, confined,unconfined, and aquitard boundary
Line feature classBoreLine
Point feature classBorePoint
Polygon feature classGeoSection
Polygon feature classGeoArea
Line feature classGeoLine
Point feature classGeoPoint
Point feature classWell
Line feature classWaterLine
Polygon feature classWaterArea
Multipatch feature classGeoVolume
Relationship class
One to many
WellHasBoreLines
Relationship class
One to many
WellHasBorePoints
Relationship class
One to many
AquiferHasWells
Objects related to hydrogeology that arein the geodatabse level (not within the
feature dataset)
Relationship class
One to many
Cell2DHasCell3D
Relationship class
One to many
Cell3DHasNodesPolygon feature classBoundary
Polygon feature classCell2D
Point feature class
Node
Multipatch feature classCell3D
SimulationFeature dataset
One to many
Raster catalogRasterSeries
TableTimeSeries
TableTSType
Relationship class
One to many
TSTypeHasTimeSeries
Temporal information
One big geodatabase with 3 conceptual components:One big geodatabase with 3 conceptual components:Hydrogeology, Simulation, TemporalHydrogeology, Simulation, Temporal
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Pre Conference SeminarPre Conference Seminar 1111
OutlineOutline
• Background: objectives, previous designBackground: objectives, previous design
• New design and books, FrameworkNew design and books, Framework
• Groundwater componentsGroundwater components
• ExamplesExamples
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Pre Conference SeminarPre Conference Seminar 1212
New DesignNew Design
• Better integrate surface water and groundwater
• Easier implementation
Solution:
1. One framework – including basic surface water
and groundwater features
2. Componentize the data model smaller thematic
pieces
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Pre Conference SeminarPre Conference Seminar 1313
Network
ComponentsComponents
Framework
Surface water components
Drainage
Hydrography
Chanel
Groundwater components
Components can be added to the framework to represent
specific themes in more detail
Wells and boreholes
Hydrostratigraphy
Geology
SimulationTemporal (enhanced)
Temporal component
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Pre Conference SeminarPre Conference Seminar 1414
Two booksTwo books
Surface waterSurface water GroundwaterGroundwater
IntroductionIntroduction IntroductionIntroduction
FrameworkFramework FrameworkFramework
Space and Time (technical)Space and Time (technical) 3D ArcGIS (technical)3D ArcGIS (technical)
Hydro networksHydro networks GeologyGeology
WatershedsWatersheds Wells and BoreholesWells and Boreholes
River channelsRiver channels HydrostratigraphyHydrostratigraphy
TemporalTemporal TemporalTemporal
SimulationSimulation SimulationSimulation
ImplementationImplementation ImplementationImplementation
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Pre Conference SeminarPre Conference Seminar 1515
FrameworkFramework
Surface water featuresGroundwater features
Time Series
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Pre Conference SeminarPre Conference Seminar 1616
FrameworkFramework
Aquifer
Watershed
Well
MonitoringPoint
Stream
HydroPoint
Waterbody
Time Series
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Pre Conference SeminarPre Conference Seminar 1717
Surface water and groundwaterSurface water and groundwater
Streamflow Gage at Comal Springs, New
Braunfels Texas
Well in the Edwards Aquifer (state well
6823302)
• In many cases collected and stored separatelyIn many cases collected and stored separately• Store, visualize, and analyze in the same conferenceStore, visualize, and analyze in the same conference
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Pre Conference SeminarPre Conference Seminar 1818
Aquifer featuresAquifer features
• Polygon features for representing aquifer
boundaries and zones within them
Map of major Map of major aquifers in Texasaquifers in Texas
Edwards AquiferEdwards Aquifer
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Pre Conference SeminarPre Conference Seminar 1919
Aquifer featuresAquifer features
• An aquifer is defined by one or a set of polygon features• Aquifer features can be grouped by a hydrogeologic unit id (HGUID)• FType for defining types of aquifer features
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Pre Conference SeminarPre Conference Seminar 2020
Well featuresWell features
Well 1729State well number 6829103Types of wells
• Wells represented as 2D point featuresWells represented as 2D point features• Can be related with a certain AquiferCan be related with a certain Aquifer• FType for defining types of wellsFType for defining types of wells
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Pre Conference SeminarPre Conference Seminar 2121
Hydro FeaturesHydro Features
• HydroID – Unique ID within the geodatabase (internal HydroID – Unique ID within the geodatabase (internal relationships) – Every feature in Arc Hydro is assigned a unique relationships) – Every feature in Arc Hydro is assigned a unique HydroIDHydroID
• HydroCode – Public identifier (external relationships)HydroCode – Public identifier (external relationships)
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Pre Conference SeminarPre Conference Seminar 2222
HydroCode links to external applicationsHydroCode links to external applications• Web interface for groundwater data in TexasWeb interface for groundwater data in Texas• Texas Water Information Integration & Dissemination (WIID)Texas Water Information Integration & Dissemination (WIID)
The state well number becomes the HydroCode of the Well The state well number becomes the HydroCode of the Well feature in Arc Hydrofeature in Arc Hydro
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Pre Conference SeminarPre Conference Seminar 2323
Aquifer and wellAquifer and well
Well 1729State well number 6829103
*
HydroIDHydroCodeNameHGUIDFType
Aquifer
HydroIDHydroCodeLandElevWellDepthAquiferIDAqCodeHGUIDFType
Well
1
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Pre Conference SeminarPre Conference Seminar 2424
Wells and TimeSeriesWells and TimeSeries
Well features are related with time series (water levels, water quality)
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Pre Conference SeminarPre Conference Seminar 2525
Surface water featuresSurface water features• Watershed – Polygon features for representing a drainage area
• Stream – Line features representing the path of flow as linear
hydrographic features (blue lines on a map)
• Waterbody – Polygon features representing water bodies
• HydroPoint – Point features for representing any point hydrographic
feature (diversion, spring, dam, etc.)
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Pre Conference SeminarPre Conference Seminar 2626
MonitoringPoint has time seriesMonitoringPoint has time series
Monitoring points are related with time series (streamflow, water quality, precipitation)
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Pre Conference SeminarPre Conference Seminar 2727
Surface water – groundwater linkageSurface water – groundwater linkage
• AquiferID is added to the surface water features
• Surface water and groundwater features can be linked through
the AquiferID and HydroID attributes
• Work in progress –still trying to figure out exactly which
relationships are needed
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Pre Conference SeminarPre Conference Seminar 2828
Surface water – groundwater linkageSurface water – groundwater linkage
• Relationships between surface water and aquifer enable
analysis based on spatial and hydrologic relationships
Stream reaches overlying an aquifer outcrop
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Pre Conference SeminarPre Conference Seminar 2929
OutlineOutline
• Background: objectives, previous designBackground: objectives, previous design
• New design and books, FrameworkNew design and books, Framework
• Groundwater componentsGroundwater components
• ExamplesExamples
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Pre Conference SeminarPre Conference Seminar 3030
ComponentsComponents
• GeologyGeology - mostly representation of data from geologic - mostly representation of data from geologic mapsmaps
• Wells and BoreholesWells and Boreholes – Description of well attributes and – Description of well attributes and vertical data along wellsvertical data along wells
• HydrostratigraphyHydrostratigraphy – 2D and 3D description of – 2D and 3D description of hydrostratigraphyhydrostratigraphy
• TemporalTemporal - Representing time series data - Representing time series data
• SimulationSimulation – Representation of groundwater simulation – Representation of groundwater simulation modelsmodels
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Pre Conference SeminarPre Conference Seminar 3131
GeologyGeology
Features for representing data from geologic maps
Data from USGS report:http://pubs.usgs.gov/sim/2005/2873/
CavesCaves
FaultsFaults
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Pre Conference SeminarPre Conference Seminar 3232
ComponentsComponents
• GeologyGeology - mostly representation of data from geologic - mostly representation of data from geologic mapsmaps
• Wells and BoreholesWells and Boreholes – Description of well attributes and – Description of well attributes and vertical data along wellsvertical data along wells
• HydrostratigraphyHydrostratigraphy – 2D and 3D description of – 2D and 3D description of hydrostratigraphyhydrostratigraphy
• TemporalTemporal - Representing time series data - Representing time series data
• SimulationSimulation – representation of groundwater simulation – representation of groundwater simulation modelsmodels
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Pre Conference SeminarPre Conference Seminar 3333
WellWell
• Wells are the most basic features in groundwater databasesWells are the most basic features in groundwater databases• Attributes of wells describe its location, depth, water use, Attributes of wells describe its location, depth, water use,
owner, etc. owner, etc. • In many cases these data are collected from driller reportsIn many cases these data are collected from driller reports
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Pre Conference SeminarPre Conference Seminar 3434
WellWell• The Well location is defined as a 2D point in the Well The Well location is defined as a 2D point in the Well
feature classfeature class• In the Arc Hydro model we only predefine a set of basic In the Arc Hydro model we only predefine a set of basic
attributes attributes Point datasetWell
HydroIDHydroCodeLandElevWellDepthAquiferIDAqCodeHGUIDFType
Wells in the Edwards AquiferWells in the Edwards Aquifer
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Pre Conference SeminarPre Conference Seminar 3535
WellWell• FType is a coded value domainFType is a coded value domain• Can add/delete based on project requirementsCan add/delete based on project requirements
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Pre Conference SeminarPre Conference Seminar 3636
Wells and 3D dataWells and 3D data
• 3D data is referenced along the well3D data is referenced along the well• From depth (top) – To depth (bottom)From depth (top) – To depth (bottom)
FromFrom
ToTo
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Pre Conference SeminarPre Conference Seminar 3737
Wells and BoreholesWells and Boreholes
• Vertical data (stratigraphy, casing) are related with wells
• 3D information is stored as tabular data in the VerticalMeasurements table
• Can create 3D features (points, lines) for visualization
Vertical data datasetVerticalMeasurements
VariableMtypeWellIDTopElevBottomElevElevUnitsElevFieldMaterialHGUID
Point datasetWell
HydroIDHydroCodeLandElevWellDepthAquiferIDAqCodeHGUIDFType
3D point datasetBorePoint
HydroIDHydroCodeWellIDHGUIDHGUCodeMaterialPointElevFType
3D line datasetBoreLine
HydroIDHydroCodeWellIDHGUIDHGUCodeMaterialTopElevBottomElevFType
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Pre Conference SeminarPre Conference Seminar 3838
Creating 3D displaysCreating 3D displays
• We can create 3D displays of wells with the elevation and We can create 3D displays of wells with the elevation and depth attributes of the well featuredepth attributes of the well feature
Land surface
Extruded well features
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Pre Conference SeminarPre Conference Seminar 3939
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)
• Data on 3D intervals/points along the wellData on 3D intervals/points along the well
Wells with hydrostratigraphic information Wells with hydrostratigraphic information
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Pre Conference SeminarPre Conference Seminar 4040
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)
• Original data is in text formatOriginal data is in text format• Each data represents the top of a formation at one wellEach data represents the top of a formation at one well
Data from USGS Data from USGS report: report: http://pubs.usgs.gov/sir/2004/5226/
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Pre Conference SeminarPre Conference Seminar 4141
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)• Data on 3D intervals/points along the well are stored in tabular formatData on 3D intervals/points along the well are stored in tabular format• Data from the vertical measurements are related through the Data from the vertical measurements are related through the
HydroID-WellID relationshipHydroID-WellID relationship
Well HydroID = 3266Well HydroID = 3266
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Pre Conference SeminarPre Conference Seminar 4242
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)• Combining the well geometry (x, y) and the vertical Combining the well geometry (x, y) and the vertical
measurements we can describe a set of 3D geometries measurements we can describe a set of 3D geometries (x, y, z)(x, y, z)
146
128
-60
41
-81
750
-140
-217
-372
-433
Georgetown Fm. (GTOWN)
Cyclic + Marine member (CYMRN)
Upper confining unit
Leached + collapsed member (LCCLP)
Regional dense member (RGDNS)
Grainstone member (GRNSTN)
Kirschberg evaporite member (KSCH)
Dolomitic member (DOLO)
Lower confining unit, upper Glen Rose (UGLRS)
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Pre Conference SeminarPre Conference Seminar 4343
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)
• BorePoints representing geologic contacts along wellsBorePoints representing geologic contacts along wells• Each point represents the top of a hydrogeologic formationEach point represents the top of a hydrogeologic formation
Well
BorePoint
Land surface
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Pre Conference SeminarPre Conference Seminar 4444
3D features (BorePoints and BoreLines)3D features (BorePoints and BoreLines)• BoreLines representing intervals along wellsBoreLines representing intervals along wells• Each line represents a hydrogeologic unit (top and bottom)Each line represents a hydrogeologic unit (top and bottom)
Well HydroID = 3266
BoreLines for well 3266
BorePoints and BoreLines can also be used to represent other BorePoints and BoreLines can also be used to represent other features along wells (construction, sampling ports, screens)features along wells (construction, sampling ports, screens)
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Pre Conference SeminarPre Conference Seminar 4545
ComponentsComponents
• GeologyGeology - mostly representation of data from geologic - mostly representation of data from geologic mapsmaps
• Wells and BoreholesWells and Boreholes – Description of well attributes and – Description of well attributes and vertical data along wellsvertical data along wells
• HydrostratigraphyHydrostratigraphy – 2D and 3D description of – 2D and 3D description of hydrostratigraphyhydrostratigraphy
• TemporalTemporal - Representing time series data - Representing time series data
• SimulationSimulation – representation of groundwater simulation – representation of groundwater simulation modelsmodels
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Pre Conference SeminarPre Conference Seminar 4646
Geology to hydrogeologyGeology to hydrogeology
Georgetown Fm. (GTOWN)
Cyclic + Marine member (CYMRN)
Upper confining unit
Leached + collapsed member (LCCLP)
Regional dense member (RGDNS)
Grainstone member (GRNSTN)
Kirschberg evaporite member (KSCH)
Dolomitic member (DOLO)
Upper Glen Rose (UGLRS)
Stratigraphic units Hydrogeologic units
Pearson Fm.
Basal Nodular member (BSNOD)
Kainer Fm.
Georgetown Fm.
Ed
war
ds
A
qu
ifer
• StratigraphicStratigraphic units are usually grouped into hydrogeologic units units are usually grouped into hydrogeologic units• An aquifer can have a number of hydrogeologic unitsAn aquifer can have a number of hydrogeologic units• Definition may change based on scale (local vs. regional) and purposeDefinition may change based on scale (local vs. regional) and purpose
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Pre Conference SeminarPre Conference Seminar 4747
Products and workflowProducts and workflow
Cross sections/Fence diagrams
Volume objects representing hydrogeologic units
Cross sections derived from the solid model
Define hydrogeologic units along boreholes
Create surfaces from borehole data and
cross sections
Interpolate and edit cross sections
“Cut” cross sections from the solid model
Surfaces defining the extent of hydrogeologic units
Borehole Stratigraphy
Build volumes between surfaces
Create cross sections based on the surfaces
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HydrostratigraphyHydrostratigraphy
1
1..*
Polygon feature class HGUArea
Polygon feature class GeoSection
Multipatch feature class GeoVolume
Raster catalog GeoRasters
TableHydroGeologicUnit
1..*
1..*
1..*
Spatial features
Relates with spatial features representing instances of the HGU
HydroGeologicUnit table provides a conceptual description of hydrogeologic units
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HGUAreaHGUArea
• 2D polygons defining boundaries of hydrogeologic units
Georgetown boundary
Kainer boundary
BorePoints representing top of hydrogeologic units
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HGUAreaHGUArea• A hydrogeologic unit can be represented by more than one
HGUArea• HGUArea is related to the hydrogeologic units in the table
through the HGUID attribute
HydroID = 4705
HydroID = 4706
HydroID = 4707
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GeoSectionGeoSection
• 3D polygons representing cross sections
• SectionLine defines the 2D cross section line
Section A-A’(HydroID = 4666)
Section line connecting a Section line connecting a sequence of wellssequence of wells
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Section A-A’
Section B-B’
HGUCode
GeoSectionGeoSection• Each polygon is part of a section group defined by the SectionID• The SectionID of the polygon relates back to the section line
Section A-A’(HydroID = 4666)
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Georgetown
Glen Rose
Kainer
Person
GeoRastersGeoRasters• Raster catalog for storing and indexing raster datasetsRaster catalog for storing and indexing raster datasets• Can store top and bottom of formationsCan store top and bottom of formations• Each raster is related with a HGU in the hydrogeologic Each raster is related with a HGU in the hydrogeologic
unit tableunit table
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GeoRastersGeoRasters
• GeoRasters also store hydraulic properties such as GeoRasters also store hydraulic properties such as transmissivity, conductivity, and specific yieldtransmissivity, conductivity, and specific yield
K (feet/day)
Raster of hydraulic conductivity in the Edwards AquiferRaster of hydraulic conductivity in the Edwards Aquifer
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GeoVolumeGeoVolume
• Objects for representing 3D volumesObjects for representing 3D volumes• Geometry is multipatchGeometry is multipatch
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GeoVolumeGeoVolume• Can create the volumes as a set of 3D trianglesCan create the volumes as a set of 3D triangles• Not real volume – can’t do any 3D operationsNot real volume – can’t do any 3D operations• Volumes in this example were generated in GMS and imported to the Volumes in this example were generated in GMS and imported to the
geodatabasegeodatabase
Georgetown
Person
Kainer
Volumes in GMSVolumes in GMS
GeoVolumes in the geodatabaseGeoVolumes in the geodatabase
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Derived GeoSectionsDerived GeoSections
• GeoSections can also be created by “cutting” through GeoSections can also be created by “cutting” through GeoVolumesGeoVolumes
C-C’
D-D’E-E’
GeoSections
C-C’ D-D’
E-E’
Section lines on a 2D view of Section lines on a 2D view of GeoVolumes GeoVolumes
Derived 3D GeoSectionsDerived 3D GeoSections
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ComponentsComponents
• GeologyGeology - mostly representation of geologic data from - mostly representation of geologic data from geologic mapsgeologic maps
• Wells and BoreholesWells and Boreholes – Description of well attributes and – Description of well attributes and vertical data along wellsvertical data along wells
• HydrostratigraphyHydrostratigraphy – 2D and 3D description of – 2D and 3D description of hydrostratigraphyhydrostratigraphy
• TemporalTemporal - Representing time series data - Representing time series data
• SimulationSimulation – representation of groundwater simulation – representation of groundwater simulation modelsmodels
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Types of time varying datasetsTypes of time varying datasets
• Single variable time seriesSingle variable time series – A single variable recorded – A single variable recorded at a location, such as stream discharge or groundwater at a location, such as stream discharge or groundwater levelslevels
• Multi variable time seriesMulti variable time series – Multiple variables recorded – Multiple variables recorded simultaneously at the same location, such as chemical simultaneously at the same location, such as chemical analysis of a water sampleanalysis of a water sample
• Time varying surfaces (raster series)Time varying surfaces (raster series) – Raster datasets – Raster datasets indexed by time. Each rater is a “snapshot” of the indexed by time. Each rater is a “snapshot” of the environment at a certain time. environment at a certain time.
• Time varying features (feature series)Time varying features (feature series) – A collection of – A collection of features indexed by time. Each feature in a feature series features indexed by time. Each feature in a feature series represents a variable at a single time period. represents a variable at a single time period.
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TimeSeries and TSTypeTimeSeries and TSType
• Each measurement is indexed by space, time, and typeEach measurement is indexed by space, time, and type
• Space = FeatureIDSpace = FeatureID
• Time = TSDateTimeTime = TSDateTime
• Type = TSTypeIDType = TSTypeID
FeatureID
TSDateTime
TSTypeID
TSType provides TSType provides information on the information on the time seriestime series
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Getting data viewsGetting data views
• We can “slice” through the data cube to get specific views We can “slice” through the data cube to get specific views of the dataof the data
FeatureID
TSDateTime
TSTypeID
2791 FeatureID
TSDateTime
TSTypeID
2
FeatureID
TSDateTime
TSTypeID
2
2791
Query by location Query by location (FeatureID = 2791)(FeatureID = 2791)
Query by typeQuery by type(TSTypeID = 2)(TSTypeID = 2)
Query by location and typeQuery by location and type(FeatureID = 2791 TSTypeID = 2)(FeatureID = 2791 TSTypeID = 2)
Where?Where? What?What? Where and What?Where and What?
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Data viewsData views
Get all the data of TSType 2 measured at Feature 2791Get all the data of TSType 2 measured at Feature 2791
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Data viewsData views
Well HydroID = 2791
• FeatureID of the time series = HydroID of the spatial feature (e.g. Well)FeatureID of the time series = HydroID of the spatial feature (e.g. Well)• TSTypeID relates to the TSType tableTSTypeID relates to the TSType table
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TimeSeries TableTimeSeries Table
• A query by location (FeatureID) and type (TSTypeID)A query by location (FeatureID) and type (TSTypeID)
• Create a plot of time series related to a featureCreate a plot of time series related to a feature
Well HydroID = 2791
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Data viewsData views
A type-time view: Get water levels (TSTypeID =2) for 2/2004A type-time view: Get water levels (TSTypeID =2) for 2/2004
FeatureID
TSDateTime
TSTypeID
2
2/2004 Water level in the Edwards Aquifer in 2/2004
Set of layers for different times Set of layers for different times creates an animationcreates an animation
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Multi-variable time seriesMulti-variable time series• Multiple variables recorded simultaneously at the same
location• Indexed by location (FeatureID), and time (TSDateTime)• Example – water quality parameters
Variables
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Multi-variable time seriesMulti-variable time series• Can query for multiple variables together
Well HydroID = 2833
New Braunfels Springs
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RasterSeriesRasterSeries
• Raster datasets indexed by timeRaster datasets indexed by time
• Each raster represents a continuous surface Each raster represents a continuous surface describing a variable for a given timedescribing a variable for a given time
January 1991
January 1992
January 1993
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Feature SeriesFeature Series• A collection of features indexed by timeA collection of features indexed by time
• Example of particle tracksExample of particle tracks
• Features are indexed by TSType, TSDateTime, and GroupIDFeatures are indexed by TSType, TSDateTime, and GroupID
• Each group of features creates a track over timeEach group of features creates a track over time
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ComponentsComponents
• GeologyGeology - mostly representation of geologic data from - mostly representation of geologic data from geologic mapsgeologic maps
• Wells and BoreholesWells and Boreholes – Description of well attributes and – Description of well attributes and vertical data along wellsvertical data along wells
• HydrostratigraphyHydrostratigraphy – 2D and 3D description of – 2D and 3D description of hydrostratigraphyhydrostratigraphy
• TemporalTemporal - Representing time series data - Representing time series data
• SimulationSimulation – representation of groundwater simulation – representation of groundwater simulation modelsmodels
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Representing simulation modelsRepresenting simulation models
• Georeference model inputs and outputs (in space and time)• Focus on MODFLOW, block centered finite difference grid
(nodes are in the center of the cells)• Represent 2D and 3D models
Block-centered finite difference grid
Finite element grid
Mesh-centered Finite difference grid
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SimulationSimulation
Features for representing data from simulation models
Model origin Ang
le
BoundaryCell2D
Cell3D Node
Cell2D
Cell3D Node
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Tools for read model inputs/outputsTools for read model inputs/outputs
Example – Create water budgets for selected cellsExample – Create water budgets for selected cells
Outflow terms
Inflow terms
(a)
(b)
Water budget terms for the defined zone
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Contact informationContact information
• [email protected]@beg.utexas.edu
DemosDemos