WELLS AND TIME SERIES DATA

Framework Temporal Aquifers & Wells

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

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

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

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

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)

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

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

Well HydroID = 53 Aquifers and Wells

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

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

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

Temporal Data

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

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

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 FeatureID VarID TsTime 6875 Getting Data Views

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

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

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.

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

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

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

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

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

Groundwater Analyst

Sample Text File

Importing Well Data

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)

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

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

Make Time Series Statistics

Time Series for a Specified Period

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