Title: GIS in Water Resources Consortium
1GIS in Water Resources Consortium
Water Resources
- Bringing together these two communities by using
a common geospatial data model
2Goals for the Conference
- Describe GIS object modeling process for water
resources - Obtain feedback on Arc Hydrology Data Model
- Form a larger core group of people to work on the
model - Discuss how to make the Consortium more effective
3Conference Program
- Wednesday morning
- ESRIs Technical Vision for Object Modeling in
GIS (Dale Honeycutt, ESRI) - Object Modeling for GIS in Water Resources (David
Maidment, CRWR)
- Wednesday afternoon
- Building the Arc Hydrology Data Model (Kim Davis
and Tim Whiteaker) - Implementation perspectives
- Roy Dodson
- Tom Evans
- Michael Blongewicz
- Cindy McKay
Wednesday evening Conference Party at the
Renaissance Hotel, 630-930
4Conference Program
- Thursday morning
- Detailed Structure of the Data Model
- Attaching Behavior to Objects and Programming in
the Geodatabase - Thursday afternoon
- Breakout sessions for feedback
- Friday morning
- The role of grid and TIN in the Geodatabase
context (Steve Kopp, ESRI) - Future activity of the GIS in Water Resources
Consortium
5Consortium Membership
- Research Members 25,000 per year to support
basic investigations - ESRI, Texas Natural Resources Conservation
Commission (TMDL WAM), Lower Colorado River
Authority - Technical Members 10,000 per year by donation
or in-kind support - Dodson and Associates Camp, Dresser McKee
- Business Members ESRI business partners
- Cooperating Members Anyone wishing to help!
6Applying for Consortium Membership
http//www.crwr.utexas.edu/giswr/member/member.htm
l
7 ArcObject Model in ArcInfo 8
This is the foundation of the basic
network package provided by ESRI with ArcInfo 8.
Edges and Junctions are highly evolved
versions of Arcs and Nodes that do new cool stuff.
8Arc Hydrology Data Modelhttp//www.crwr.utexas.ed
u/giswr/models/models.htm
9Data Model Extensions
Extension for National Hydrography Dataset
Hydrologic Engineering Center models
10Goal of the Consortium
- Develop an ArcInfo 8.0 data model for
representing surface hydrology /hydrography - Drainage networks and objects for water resources
applications
A practical implementation template for all users
and foundation for developers and researchers
11Objectives
- GeoObject Model Research, Development,
Implementation, Education - Feedback into ESRI core software development
- Strengthen water resources user community
- Book on GeoObject Model and its Application
12The Book Arc Hydrology Object Model
- Introduction
- GeoDatabase Modeling
- River Network
- Landscape and Watersheds
- Channels and floodplains
- Time Variation
- Implementation Case Study (1)
- Implementation Case Study (2)
- Implementation Case Study (3)
- Conclusions
13Goals for the Arc Hydrology Data Model
Linear Referencing on the River Network
ArcHydro
Dynamic modeling of water resources
Mapping of Hydrologic Features
General purpose geospatial database
14Arc Hydrology Data Model
Water Resources Model
GIS representation of the spatial data structure
of a water resources model
Water Modeling
Water movement and properties
The river system represented as a network of
flowlines on which location is defined
Linear Referencing
The water environment
Cartographic representation of water features on
maps
Water Mapping
ArcObject Model
15Complex Edge Object
- Edge is a concept from graph theory ( link in
network) - Can have interior nodes, interior junctions with
other edges - Will be used for a river reach between two
tributary reaches
Gage
Hydraulic structure
16Concepts from Fluid Mechanics
17One-Dimensional Channel Flow System
Cross-Section
Flow Line
s
Stream Banks
182-D and 3-D Flow Systems Flow Elements
Finite element mesh
Finite difference mesh
19Water Resources Objects
- Flowline - a line tracing the principal path of
water movement through a flow system - A streamline for a 1-D flow system
- Flow system an assembly of objects representing
a region of space through which water flows - A flow system could represent a channel, lake,
bridge, watershed, aquifer, stream habitat zone,
reservoir, ..
20Object Model of Rivers and Watersheds
21Supported Data Types for Eurotas Integrated
Catchment Model
TimeSeries Locations
Branches
Catchments
Cross Sections
Boundary Features
223-Dimensional River Channel
ProfileLine
Each point has (x,y,z) coordinates
CrossSectionLine
23Geomorphic Classification of Rivers
Geomorphic province
Source Naiman and Bilby River Ecology and
Management Fig. 2.3, 1998
Watershed
Geomorphic units
Large woody debris
Valley Segment
Channel Reach
24Hierarchical Organization of a Stream and its
Ecological Habitats
Source Naiman and Bilby River Ecology and
Management Fig. 5.2, 1998
Segment
Riparian zone
Reach
Transect
25Lower West Fork, Trinity River Basin HUC
12030102
26(No Transcript)
27NHD River Reaches
412 River Reaches In Upper West Fork
28Water Body Reaches(Lakes and Ponds)
29DEM extracted from 1 NED
30Local Drainage Area for each Reach
31Incremental Watersheds for River Reaches
Accumulate incremental areas down the network to
get cumulative drainage areas
32River Reach Codes
Rch_Code 12030102000151
Rch_Code 12030102000005
Segment
HUC
33National Stream Addressing System
Location is described by what reach you are on,
and what distance along the reach you are
located at, e.g. 12030102000005, 67.2
0
Rch_Code 12030102000005
100
34Stream Addressing
Relative Addressing
0
67.2
100
1434 ft
Relative addressing is independent of units of
measure and more robust when changes of scale of
maps occur Absolute addressing is more common in
water resources models
35Direction of Stream Addressing
US Army Corps of Engineers, USGS (positive going
upstream)
River Stationing
0 feet or miles
Chainage
0 meters
Danish Hydraulic Institute (positive going
downstream)
There is no single, consistent, absolute
addressing system
36Colorado River Network
1100,000 scale Developed from National
Hydrography Dataset
37City of Austin Stream Network
Developed from 1100 Capco Areal
photogrammetry 11200 scale
38Colorado River at Mansfield Dam
From NHD 1100,000 scale
River Reaches
Lake Travis
City of Austin Stream network 11200 scale
39Synthesis of GIS and Hydrologic Modeling
GIS
Hydrologic Modeling
Environmental description
Process representation
Input
Data
Model
Results
40Linkage to Models
Water mapping
Flow Schematic
GIS Analysis
Flowlink
Export to Water Resources Model
Flownode
41Linking Temporal and Spatial Models
Hydrologic Simulation model
Time series data
Users
Real World
GIS
Spatial data
42Dealing with Time Variation
? Continuous time hourly, daily
t
? Steady state mean annual
t
? Seasonal monthly
t
Q
I
? Single event
t
43Space, Time, and Variables
A data value, D, is measured at spatial feature
L, at time T, for variable, V, and so it
exists in a 3-D space D(L, T, V)
Time
D
Variables
T
V
Space
L
44USGS Time Series Format
U.S.Geological Survey NWIS data Rdb data file
created 06/11/1999 1904 Columns in this file
include station USGS station number dd
Data descriptor, unique data base
identifier datetime date or date and time of
reading value value stored for this data
descriptor for this datetime 08176500 01 00060
DISCHARGE, IN CUBIC FEET PER SECOND station
dd datetime value 08176500 01
01/01/1998 1140.00 08176500 01
01/02/1998 1340.00 08176500 01
01/03/1998 1220.00 08176500 01
01/04/1998 1110.00 08176500 01
01/05/1998 1090.00 08176500 01
01/06/1998 1200.00 08176500 01
01/07/1998 1620.00 08176500 01
01/08/1998 2880.00 08176500 01
01/09/1998 3030.00 08176500 01
01/10/1998 2820.00
V
T
D
L