Post on 15-Jan-2016
GEOSPATIAL DATA LAYERS FOR ARC HYDRO RIVER
Arc Hydro River Meeting
Clark Siler
Center for Research in Water Resources
University of Texas at Austin
01 Dec 2010
Outline
Review Vision Research Questions
Q1: History Q2: Future Q3: Network Applications Summary
Indicators of Completion
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Review – Texas’ Senate Bills
Senate Bill 1 (1997)
Established Texas’ official WAM Senate Bill 2 (2001)
Instream flows“…establish and continuously maintain an instream flow data collection and
evaluation program….”
Senate Bill 3 (2007)
Environmental Flows Allocation ProcessHow much water do rivers and bays need to stay healthy?
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Review – WRAP & WAM
WRAP – Water Rights Analysis Package Suite of programs to digitally manage water
rights in Texas Developed by Dr. Ralph Wurbs of the Texas
Water Resources Institute at Texas A&M 23 basins, 10,000 locations, 50 years
Texas’ official Water Availability Model Response to drought of 1996 (SB1) Includes WRAP model & input datasets
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WRAP as a Hydrologic Geospatial Model
Review – WRAP 5
WRAPInput Files Model
Output
Sensitive to Change
Time “When”
Space “Where”
Variable “What”
Time “When”
Space “Where”
Variable “What”
Each space-time point is unique and is associated with a set of variables
Space
Tim
e
Graphs
Maps
Time “When”
Space “Where”
Variable “What”
Time “When”
Space “Where”
Variable “What”
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A set of variables…
Space
Time
Review – WRAP Display
Hard-coded
Review – WRAP Network Tools
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Spatially-aware tools on a network Layers related, but network was modified manually
Review – Flow Regimes8
Subsistence Flows (cfs)
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep
High Flow Pulses
F: 1 F: 1 F: 1 F: 0
Return Period (R) : 2.8 (years) Duration (D) : 32 (days) Volume (V) : 448505 (ac-ft) Peak Flow (Q) : 13000 (cfs)
Overbank Flows
D: 19 D: 26 D: 20 D: 20 Q: 3643 Q: 19900 Q: 19400 Q: 2340 V: 72105 V: 414546 V: 353058 V: 48459 F: 1 F: 2 F: 2 F: 2 D: 15 D: 15 D: 12 D: 12 Q: 1540 Q: 10600 Q: 9100 Q: 1210 V: 23512 V: 219362 V: 153660 V: 21722 F: 3 F: 2 F: 4 F: 3 D: 10 D: 10 D: 7 D: 9 Q: 713 Q: 5300 Q: 4275 Q: 574 V: 12155 V: 94176 V: 43548 V: 9654
2780(26.1%) 15650(22.3%) 13250(21.8%) 1950(19.2%)
Winter Spring Summer Fall
1060(50.5%) 8060(51.4%) 6375(45.3%) 1030(43.0%)492(71.4%) 3553(75.7%) 2928(69.9%) 552(67.6%)
Base Flows (cfs)
308(86.8%) 360(98.7%) 1030(92.5%) 568(66.6%)
F = Frequency (per season)
D = Duration (days)
Q = Peak Flows (cfs)
V = Volume (ac-ft)
High Flow Pulse
Characteristics
Wet (75th %ile)
Average (50th %ile)
Dry (25th %ile)
Subsistence
Hydrologic Conditions
MBFIT
IHAData and analyses singly-contained for
easy sharing
Not connected to GIS
Review – Barriers & Goal
Three Barriers Encountered1. Adaptable geospatial model
WRAP Display
2. Underlying network for analyses WRAP Network Tools
3. Web inclusion and sharing of analyses Flow Regimes Work
Goal: Build a simpler, more sustainable system
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Review – DEMs & Catchments Much of hydrologic analysis stems from
raster data: DEMs Cell-based systems have been
supplemented by vector data: Points, Lines, Polygons
The fundamental unit in hydro analyses can be seen as the catchment, a vector unit
Catchments piece together much like traditional cell-based units
Fundamental flaw in information model: Loops
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Vision – Display Layer
Display Layer – Hydro Base Map Example11
The Hydrography or “blue line” component of a topographic map
Arc Hydro Feature Classes
Vision – Analysis Layer
Analysis Layer – Hydro Base Map Example
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A geometric network with a local catchment for each network edge
Arc Hydro Feature Classes
Vision
We want a general analysis layer: TCEQ Example
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WAM Event Layer
TMDL Event Layer
Network
Underlying Network, Event Layers
Review – Vision
Observation Data is Becoming Available Online
Mapping Services Can Connect Space and Time Example: Nexrad Rainfall and USGS Gages
http://129.116.104.176/ArcGIS/rest/services/capcogaustin/capcog/MapServer
Can this be donefor anywhere in theworld?
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Research Questions
Q1: What has been learned from the various hydrologic geospatial data models in the past ten years and how can this knowledge best be applied in future hydrologic applications?
Q2: What geospatial model can best handle the predicted future of hydrologic data?
Q3:How can estimated flow values and flow regimes be represented on geometric networks?
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Research Questions
Q1: What has been learned from the various hydrologic geospatial data models in the past ten years and how can this knowledge best be applied in future hydrologic applications?
Q2: What geospatial model can best handle the predicted future of hydrologic data?
Q3:How can estimated flow values and flow regimes be represented on geometric networks?
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Q1: History
Hydrologic Geospatial Data Models Review1. Arc Hydro2. WRAP Hydro3. NED and NHD4. CUAHSI5. Australian Geofabric6. Base Maps7. USGS Water Census
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Geospatial Model Review: Arc Hydro
Geospatial and temporal ArcGIS data model
Employs geodatabase schema Over 100 GIS tools Framework for hydrologic simulation
models
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1.
Geospatial Model Review: WRAP Hydro
Arc Hydro for WRAP Data model and tools for Texas’ WAM
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2.
Geospatial Model Review: NED & NHD (USGS & EPA)
National Elevation Dataset (USGS) – seamless raster elevation data (30 m)
National Hydrography Dataset – feature-based representations of common surface water features
NHDPlus – combines benefits of NED, NHD, WBD, and NLCD (30 m); includes geometric network
NHD 24K – higher-resolution
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3.
Geospatial Model Review: CUAHSI21
4.
Geospatial Model Review: Australian Geofabric
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5.
AWRIS
Geospatial Model Review: Base Maps23
6.
ArcGIS Online
Hydro Base Map
Geospatial Model Review: USGS Water Census Seamless Water Data
Spans jurisdictional and political boundaries Water availability and water use trend data
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7.
Research Questions
Q1: What has been learned from the various hydrologic geospatial data models in the past ten years and how can this knowledge best be applied in future hydrologic applications?
Q2: What geospatial model can best handle the predicted future of hydrologic data?
Q3:How can estimated flow values and flow regimes be represented on geometric networks?
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Q2: Future26
Watersheds Groundwater
Two Global ModelsFuture…
Q2: Arc Hydro River
GIS for River Modeling and Morphology27
Aquatic Biology
River Network Channel Shape
Flooding
Geography
Applications
Research Questions
Q1: What has been learned from the various hydrologic geospatial data models in the past ten years and how can this knowledge best be applied in future hydrologic applications?
Q2: What geospatial model can best handle the predicted future of hydrologic data?
Q3:How can estimated flow values and flow regimes be represented on geometric networks?
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Q3: Network Applications29
Research Questions
Q1: What has been learned from the various hydrologic geospatial data models in the past ten years and how can this knowledge best be applied in future hydrologic applications?
Q2: What geospatial model can best handle the predicted future of hydrologic data?
Q3:How can estimated flow values and flow regimes be represented on geometric networks?
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Summary
We need a simpler, more sustainable hydrologic conceptual model Allow analysis layer to “live” under display
layers Synthesize with wealth of online
observations data Intellectual backbone of Arc Hydro River
Model should accommodate time series and information products for individual catchments in a network
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Indicators of Completion
“How can we tell when it’s done?” When a time series exists on a network that represents flow values and/or flow regimes, being based on a geospatial model that incorporates best principles and practices from the past.
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