An Environmental Flows Information System for Texas

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An Environmental Flows Information System for Texas Eric S. Hersh The University of Texas at Austin Center for Research in Water Resources December 14, 2009 TCEQ

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An Environmental Flows Information System for Texas. Eric S. Hersh The University of Texas at Austin Center for Research in Water Resources December 14, 2009 TCEQ. Outline. EFIS background, concept, and contents EFIS site: design and use Interactive Map Viewer Digital Repository - PowerPoint PPT Presentation

Transcript of An Environmental Flows Information System for Texas

Page 1: An Environmental Flows Information System for Texas

An Environmental Flows Information System for Texas

Eric S. HershThe University of Texas at Austin

Center for Research in Water Resources

December 14, 2009TCEQ

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Outline• EFIS background, concept, and contents• EFIS site: design and use– Interactive Map Viewer

– Digital Repository

– HydroPortal

– Calculator for Low Flows

• What’s Next– HydroDesktop

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“The State should be encouraged to mount a comprehensive review and digitization project to recover all of this data and make it available to stream ecologists and other scientists.”

-Science Advisory Committee (2004)

“With detailed ecological/environmental flow information for just one reach of one river, the ability of the TRG to fulfill its fundamental goal of evaluating the appropriateness of various desk-top methods, including the Lyons Method, for estimating environmental flow requirements for stream and ecological conditions across the State has, at the least, been substantially impaired.”

-Technical Review Group (Draft, 2008)

“All available data and study reports related to the hydrologic, biologic, geomorphic, water quality, and connectivity of the study area will be assembled.”

-Texas Instream Flow Studies: Technical Overview (2008)

Motivation

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Trinity/San Jacinto/Galveston BBESTNWF Meeting Summary, 2/27/09

Available Information and Knowledge Gaps

“The BBEST acknowledged that the only complete data set for instream flows at their disposal is hydrological and therefore the geographic scope of their recommendations will be critical.”

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Background• Primary Goal:

– data and integration to help TCEQ in establishing environmental flow requirements in Texas

• Added Benefit:

– Support for SB2/SB3

– Stakeholders, BBESTs, tri-agencies

• Other efforts:

– Bio data collection, basin lit reviews, SAC, HEFR/MBFIT

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Acknowledgements• TCEQ

• CRWR: James Seppi, Tim, Whiteaker, Clark Siler, Stephanie Johnson, Bryan Enslein, Fernando Salas, Harish Sangireddy, Wendy Harrison, David Maidment

• Cockrell School of Engineering – ITS (CRWR as a data center)

• TWDB

• CUAHSI

• UTDR

• TDL

• Data providers

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EFIS Concepta diversity of disciplines and data types means no one solution

• A blend of old & new technologies– A person interacting with a website and downloading a file– A PC interacting with a server, retrieving and analyzing data

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EFIS Concept (2)• A blend of GIS & HIS– Geographic Information Systems with geographic data models– Hydrologic Information Systems with relational data models– A “system of systems”

Water Environment

- Geospatial data layers

Water- Observations

data layers

CUAHSI ODM and web services

ArcGIS Geodatabase

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EFIS Contents

• Four disciplines:– Hydrology– Water Quality– Biology– Geomorphology &

Physical Processes

Plus,– Tools & Guidance

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Point of departure:

TCEQ‘Wish List’

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EFIS Organization

• Six information types:– Point observations data (eg: WaterML/ODM )

– Geographic (shapefile, feature class, KML, WFS/etc)

– Documents (DSpace digital archive)

– Tables (conservation status, guilds)

– Tools (CALF, TSA, HydroExcel)

– Links (Fishes of Texas, IHA, SAC)

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EFIS Use

• Four access types:– Web Page– Interactive Map Viewer– Digital Library– HydroPortal

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EFIS Contributors (n = 25+)

• State: TCEQ, TWDB, TPWD, TCOON, TIFP, TNRIS, TXDOT

• Federal: USGS, EPA, NWS, USACOE HEC, NOAA, USFWS, NAS NRC

• Academic: UT-CRWR, TAMU, TAMU-Galveston, TX State – San Marcos, TAMUCC, Univ. of New Orleans, Texas Natural History Museum, CUAHSI

• NGO: WWF, TNC

• River Authorities: SARA97

components in all!

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http://efis.crwr.utexas.edu

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EFIS Demo• Interactive Map Viewer

– Basemap from ESRI, Redlands, CA– Data from CRWR, Austin, TX– Additional data from TCOON and TAMUCC, Corpus Christi, TX– Tutorial for using SQL ODM databases

• Digital Repository• HydroPortal• Calculator for Low Flows (CaLF) tool– Installation and use

• About– BioODM, Controlled Vocabulary/Ontology

• Contacts

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Harish Sangireddy, CRWR

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Pre Conference Seminar 17From Robert Vertessy, CSIRO, Australia

EFIS

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What’s Next• More data (always!)

• Finishing touches:– By Basin (thoughts?)

– Upload User’s Manual and these slides

• Environmental Flow Regimes project– Workflow for env. flows models (MBFIT, HEFR)

– Extension of flow regime prescriptions from gaged to ungaged locations

• HydroDesktop

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Internet operation for text-based information

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Services-Oriented Architecture for Water Data (2009)

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HydroDesktop – Access and Analyze Data

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HydroDesktop Demo

• MapWindow GIS interface

• Data search– From HIS Central

– From HydroPortals

Tim Whiteaker, CRWR

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(blank)

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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CUAHSI Hydrologic Information System

NWIS

STORET

TCEQ

http://his.cuahsi.org

Mission:To enhance hydrologic science by facilitating user access to more and better data for testing hypotheses and analyzing hydrologic processes

• 50 observation networks• 1.75 million sites• 342 million data values

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CUAHSI Water Data Services

43 services15,000 variables1.8 million sites9 million series4.3 billion data 27

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Data Services1. Data Loading– Put into the CUAHSI Observations Data Model

2. Data Publishing– Provide web services via WaterML

3. Data Indexing– Summarize in a centralized catalog

4. Data Discovery– Make it known to other users

5. Data Access– Provide the data to those users

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Horsburgh et al (2008)

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Ingest Data From Different Sources

Transform Data into Uniform Format with SSIS Scripts

Load Newly Formatted Data into ODM Tables in MS SQL/Server

Wrap ODM with WaterML Web Services for Online Publication

TPWD Coastal Fisheries Raw Data

TWDBCoastline Raw Data

TIFPLower Sabine

Publishing an ODM Water Data Service

TPWD ODM

TWDB ODM

TIFP ODM

Observations Data Model (ODM)

WaterML

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TCOONMETADATA

ODM

TCOONDataValues

WaterML

Metadata From:ODM Database in Austin

Data From: TCOON Web Site in Corpus Christi

http://lighthouse.tamucc.edu/TCOON/

TCOONWater Data

Service

Publishing a Hybrid Water Data Service

http://his.crwr.utexas.edu/tcoonts/tcoon.asmx?WSDL

TCOON Metadata are Transferred from XML to the ODM

Web Services can both Query the ODM for Metadata and use a Web Scraper for Data Values

Calling the WSDL Returns Metadata and Data Values as if from the same Database

GetSitesGetSiteInfoGet VariablesGetVariableInfo

Get Values

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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GISESRI, TNRIS, etc

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Water ResourcesUSGS, NWS, etc

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Aquatic EcologyTraditionally: You!Now: EFIS, etc

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-Sabine River: 165 samples were collected at 8 study reaches over 8 days of field work in 2006; 147 samples yielded fish-5,811 fish were observed, representing 58 species-each sample yielded an average of 40 fish

Across all sites, 889 Centrarchids (sunfish, bass, and crappies) were observed with a relative abundance of 22% ± 24% (mean ± SD)

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-Three blue suckers (Cycleptus elongatus) observed; a state-listed threatened species

-The only fish non-native to the Sabine River Basin observed was the inland silverside (Menidia beryllina).-192 silversides total, ranging from 0-90% of the sample population with a mean of 3% ± 12%

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Distribution: Originally found in coastal waters and upstream in coastal streams along the Atlantic and Gulf coasts; widely introduced into freshwater impoundments (Hubbs et al. 1991)

http://www.bio.txstate.edu/~tbonner/txfishes/menidia%20beryllina.htm

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Non-native species distribution

Inland Silverside Menidia beryllina

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Fishes of Texas ProjectDean HendricksonTexas Natural Science CenterUniv. of Texas at Austin

• 5,700 sites• 67,000 samples• 2,000,000 specimens• 34 institutions• 373 taxa• 1851-2006

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Percentnon-native (170 of 2206 records, 7.7%)

Fishes of the San Antonio

Basin

3 services - TRACS, Fish Atlas, TIFP

2206 records - 1455 TRACS - 571 TIFP - 34 FishAtlas

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Non-natives: Tilapia spp.

Regionalized IBIs

Conservation status (3

species of concern, 46

records)

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GISData: • Static in time• Complex in space• Standardized formats

Aquatic EcologyData: • Event-based in time (irregular)• Complex in space (3-D)•“Compound” (data interplay)• No standardized formats

Water ResourcesData: • Dynamic in time (time series)• Simple in space (points)• No standardized formats

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The Data Cube – “What-where-when”

Space, S

Time, T

Variables, V

s

t

Vi

D

“Where”

“What”

“When”

A data value

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EFIS Data Cube

• Data value = f (Space, Time, Variable, Species)– space/time/species are attributes– Descriptors are variables

• ITIS for species– Hierarchical taxonomy (KPCOFGS)

http://www.itis.gov/

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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http://www.tdl.org/

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KML map links to both the data and the document

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Trinity River-San Jacinto River-Galveston Bay

Document Management System

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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Organism

GroupTaxonomy

Sample

Method

Document

Source

Domain

Site Habitat

(has traits, ID)

(characteristics, statistics)

(link to pdf, geography)

(specific location)

(general location)

(substrate,cover,hydraulics,characteristics)

BioODMv.1.2Eric S. Hersh, UT-CRWR9/25/2009

(provenance, contact info)

Weight Units

Datum

Size

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Organism

OrganismID {PK}SizeID {FK}WeightID {FK}SexLifestageAnomaliesAgeGroupID {FK}SampleID {FK}TaxonomyID {FK}OrganismComments

Group

GroupID {PK}MinLengthMaxLengthCountTaxonomyID {FK}GroupComments

Taxonomy

TaxonomyID {PK}KingdomPhylumSubphylumSuperclassClassSubclassInfraclassSuperorderOrderSuborderFamilyGenusSpeciesSubspeciesTSNTaxonomyComments

Sample

SampleID {PK}MethodID {FK}SampleDistanceSampleDurationSampleDriftSampleDateTimeLocalSampleDateTimeUTCOffsetUTCOffsetVerticalOffsetLateralSampleMediumQualityControlLevelSiteID {FK}SourceID {FK}DocumentID {FK}HabitatID {FK}SampleComments

Method

MethodID {PK}MethodDescriptionMethodReferenceMethodComments

Document

DocumentID {PK}DocumentTitleDocumentLinkDocumentAuthorsDocumentYearDocumentOrganizationDocumentDisciplineDocumentKeywordsDocumentCitationDocumentAbstractDocumentGeographyDocumentComments

Source

SourceID {PK}SourceNameSourceDescriptionSourceLinkContactNameContactEmailSourceComments

Domain

DomainID {PK}WaterbodyNHDPlusCatchmentNHDPlusSubbasinNHDPlusBasinCountyStateDomainComments

Site

SiteID {PK}SiteNameLatitudeLongitudeElevationDatumID {FK}AccuracyRiverLocationDomainID {FK}SiteComments

Habitat

HabitatID {PK}HabitatTypeHabitatDescriptionCoverType1CoverPercent1CoverType2CoverPercent2CoverCommentsMeanVelocityMaximumVelocityMeanDepthMaximumDepthWidthPercentDetritusPercentVegetationHabitatCommentsPercentClayPercentSiltPercentSandPercentGravelPercentCobblePercentBoulderPercentBedrockPercentOtherSubstrateComments

Datum

DatumID {PK}HorizontalDatumVerticalDatumDatumComments

Size

SizeID {PK}SizeNameUnitsID {FK}SizeComments

Units

UnitsID {PK}UnitsNameUnitsTypeUnitsAbbreviationUnitsComments

Weight

WeightID {PK}WeightNameUnitsID {FK}WeightComments

Store these

elements in a GIS

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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Synthesis of Data Sources

TCEQ TRACS

TWDB EvaporationTPWD Water Quality

San Antonio TIFPSabine TIFP

TWDB Water Quality

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Texas Water Data Services

12 services5,000 variables16,000 sites1.04 million series23 million records

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Texas Salinity

“It’s the salinity, stupid.”- Dr. Paul Montagna SAC, 2/09

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Additional Information

1. CUAHSI water data services2. Biological data: issues and examples3. Texas Digital Libraries4. BioODM5. Texas water data services6. Ontology for biological data

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Ontology Navigation

61

Hydrosphere

Chemical Physical

Biological Instrumentation[Other]

Rick Hooper, CUAHSI

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Chemical Concepts

62

Chemical

Inorganic

Organic

Nutrient

Redox

Stable Isotopes

Radiochemicals

Oxygen Demand

Major

Minor

Composite

Other

Pesticides

PCBs

Nitrogen

Phosphorus

Metal

Metal

Non=Metal

Non=Metal

Dis. Gas

Dis. SolidBulk Proprty

(from EPA Substance Registry System)

Rick Hooper, CUAHSI

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Existing CUAHSI CV

http://test.hydroseek.net/ontology/Ontology.html

New Concept Tree

http://test.hydroseek.net/ontology/CUAHSIOntologyMay2009.html

New Concept Tree with Sources

http://test.hydroseek.net/ontology/CUAHSIOntologyMay2009_sourceOriented.html