1. WELLS AND TIME SERIES DATA

2. Framework Temporal Aquifers & Wells

3.  Polygon features for representing aquifer boundaries and zones within them  Representation of Aquifer maps Aquifers

4.  An aquifer is defined by one or a set of polygon features  Aquifer features can be grouped by HGUID Aquifer Features

5.  Wells are the most basic features in groundwater databases  Attributes of wells describe the location, depth, water use, owner, etc. Wells

6. Well Data  In many cases these data are collected from driller reports

7. Relationships in a typical groundwater database Well Databases  Well databases store information on wells and related data  Data are related to wells such as construction, water levels, water quality, and stratigraphy  Usually a central table is used to describe well features and other data are linked to it through key attributes (e.g. state well number)

8. Wells in the Edwards Aquifer Well Feature Class  In the AHGW model we only predefine a set of basic attributes  The Well location is defined as a 2D point in the Well feature class

9. Well Feature Class  FType is a coded value domain  Can add/delete based on project requirements

10. Well HydroID = 53 Aquifers and Wells

11. Surface Water/Ground Water Linkage  AquiferID is added to the surface water features  Surface water and groundwater features can be linked through the AquiferID and HydroID attributes

12. Streams over the outcrop = recharge features Surface Water/Groundwater Linkage

13. Streamflow Gage at Comal Springs, New Braunfels Texas Well in the Edwards Aquifer (state well 6823302) Surface Water and Ground Water  In many cases collected and stored separately  Store, visualize, and analyze in the same context

14. Temporal Data

15. VarID provides information on the time series  Each measurement is indexed by space, time, and type  Space = FeatureID  Time = TsTime  Type = VarID TimeSeries and VarID

16. Well HydroID = 2791  FeatureID of the time series = HydroID of the spatial feature (e.g. Well)  Create a plot of time series related to a feature TimeSeries Table

17. We can “slice” through the data cube to get specific views of the data Query by location (FeatureID = 2791) Query by type (VarID = 6875) Query by location and type (FeatureID = 2791 VarID = 6875) Where ? What ? Where and What? 2791 TsTime FeatureID VarID FeatureID VarID TsTime 6875 2791 FeatureID VarID TsTime 6875 Getting Data Views

18. Example: Get all the data of VarID 6875 measured at Feature 2791 Data Views

19. A type-time view: Get water levels (VarID=6875) for 1/1999 Water level in the Edwards Aquifer in 1/1999 Set of layers for different times creates an animation 1/1991 FeatureID VarID 6875 TsTime Data Views

20. Types of Temporal Datasets  Single variable time series – A single variable recorded at a location, such as stream discharge or groundwater levels  Multi variable time series – Multiple variables recorded simultaneously at the same location, such as chemical analysis of a water sample  Time varying surfaces (raster series) – Raster datasets indexed by time. Each raster is a “snapshot” of the environment at a certain time.  Time varying features (feature series) – A collection of features indexed by time. Each feature in a feature series represents a variable at a single time period.

21. Well features are related with time series (water levels, water quality) Wells and Time Series

22. Variables (VarKey) Multi-Variable Time Series  Multiple variables recorded simultaneously at the same location  Indexed by location (FeatureID), and time (TsTime)  Example – water quality parameters

23. Well HydroID = 2833 New Braunfels Springs Multi-Variable Time Series  Can query for multiple variables together

24. January 1991 January 1992 January 1993 Raster Series  Raster datasets indexed by time  Each raster represents a continuous surface describing a variable for a given time

25. Feature Series  A collection of features indexed by time  Example of particle tracks  Features are indexed by VarID, TsTime, and GroupID  Each group of features creates a track over time

26. Groundwater Analyst

27. Sample Text File

28. Importing Well Data

29. Hydro Features  HydroID – Unique ID within the geodatabase (internal relationships) – Every feature in Arc Hydro is assigned a unique HydroID  HydroCode – Public identifier (external relationships)

30. The state well number becomes the HydroCode of the Well feature in Arc Hydro HydroCode  External Applications

31. Assigning HydroIDs  A new ID assigned to features in a Arc Hydro geodatabase  Uniquely identifies features within a geodatabase  Is used to manage relationships between features and to relate features with tabular data (e.g. time series)  Custom tool for managing HydroIDs

32. Make Time Series Statistics

33. Time Series for a Specified Period

34. 1991 1992 1993 Interpolate to Rasters  Interpolate output from Make Time Series Statistics to create rasters.  User Add to Raster Series tool to load resulting rasters to a Raster Series for animation