3. WATERS Goals for FY04
Maximize the use of Enterprise Solutions
and reuse of WATERS components
Increase WATERS involvement with the
Exchange Network
Improve quality assurance and metadata
documentation
Boost application’s functionality
Couple the stream network with watersheds
and vice versa
4. WATERS within the
EPA Enterprise Architecture
EPA Enterprise Architecture
Data
Services
Applications
Users
WATERS
(Watershed Assessment, Tracking and Environmental ResultS)
Reach Address Database
Reach Address Database
NationalNHD
NationalHydrography Dataset
NHDHydrography Dataset
Reach
Stream
(
(Stream)
(Reach)
Addresses
Addresses
Enable
Enable
Hydrologic
Hydrologic
Queries
Queries
Water
Water
Program
Program
Databases
Databases
http://www.epa.gov/waters
The Cross-Program WATERS Team Provides Support, Training, Coordination and Outreach
5. EPA’s Architecture Framework
(Mission, Vision, Goals, Perf Measures)
Federal Business Architecture
(BRM, Cross Agency E-Gov, Pres Mngt Agenda)
Business
EPA Business Architecture
(Processes, Functions)
Data Architecture
Data
Applications
(Data Entities, Data Classes, Data Flows)
Applications Architecture
STAKE HOLDE R
SECUR ITY
DOCUM ENT MANA GEMEN T
GEOSP ATI
DATAB ASES
AL
Strategic Architecture
Goals
(Applications, Interfaces, Information Flows)
Technology Architecture
Technology
(Locations, Networks, Infrastructure, Standards)
Business Domains
Environmental Info
Research & Development
Administrative Systems
Enterprise Wide
6. What is the
National Hydrography Dataset (NHD)?
1
3
A framework dataset that includes:
•Hydrographic features for making maps
•A national stream addressing system
2
•A modeling network for navigating
upstream/downstream
•A maintenance infrastructure
Data and information available at
http://nhd.usgs.gov
7. What are NHD Reaches?
Watershed 02050701
2
1
Watershed 02050701
contains 3 NHD reaches:
- 02050701 000001
- 02050701 000002
- 02050701 000003
3
which provide the
framework for reach
(stream) addresses in
the same manner that
streets do for street
addresses
8. Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data
Let’s Talk Data!
Let’s Talk Data!
9. Data Accessible Through WATERS
•
•
•
•
•
o
•
•
o
Impaired Waters
Water Quality Standards
Assessed Waters
Beaches
Sewage No Discharge Zones
Nutrient Stations
Fish Consumption Advisories
Water Quality Stations
National Estuary Programs
• Linked to the NHD
o Not linked to the NHD
•
•
•
•
o
•
•
•
•
Permitted Dischargers
Nonpoint Source Projects
Drinking Water Intakes
Drinking Water Wells
Source Water Areas
Clean Watershed Needs
Special Appropriations Projects
USGS Gaging Stations
USGS Time-of-Travel Studies
10. Tools for Linking Your Data
to the NHD
WebRIT (Internet-based)
Indexing Service in FY05
PCS-CWNS facility identifier reconciliation
CWS-WQS reach indexing and program database QAQC
Stormwater Electronic Notice of Intent (eNOI) through
Central Data Exchange (CDX)
8 programs now implemented
‘Snaps’ lat/long to nearest point on nearest reach
Reach Indexing Tool (RIT) (ArcView-based)
11. Data Standards and Data Exchange
Federal Geographic Data Committee (FGDC)
hydrology framework data exchange standard
National Environmental Information Exchange
Network (NEIEN) challenge grant to Minnesota
Conversion of USGS NHD repository to
Geodatabase technology (NHDGeo)
12. Supporting Informed Decisions
Program integration based upon hydrography
Combined Sewer Overflow (CSO) Congressional
Report
Jurisdictional Waters policy analysis
Clean Watersheds Needs Survey
Water Quality Standards at Drinking Water
Intakes
13. Water Quality Standards &
Community Water Systems
Supports two Strategic Measures
Requires coordination among Regional and State
Water Quality Standards (WQS) and Source Water
Protection (SWP) staffs
Additional program benefits
• Assists population of the Water Quality Standards
Database (WQSDB)
• Improves data quality through validation by states and
regions
14. WQS-CWS & WATERS
Facilitating coordination among Regional & State Water Quality
Standards & Source Water Protection staffs
Checking WQS Designated Use(s) at the intake stream location
15. AskWATERS (Version 1.0)!
Additions to query library
Clean Water Needs Survey facilities on
Impaired Waters and Special Appropriations
Projects
Designated Uses at Drinking Water Intakes
More strategic measures (planned)
Analysis-related metadata
22. AskWATERS Metadata
Purpose
To give enough information to gauge the quality and
currency of the data displayed in the reports.
Features
Report Descriptions
Program System Descriptions
Statement of Data Currency (national or state)
Statement of NHD Indexing (national or state)
26. WATERS RAD
is an Enterprise Data Resource
Drinking Water Mapping Application (OW)
EnviroMapper for Tribes (OW)
Window to My Environment (OEI)
TRI Facility Siting Locator (OEI, OPPTS)
NEPAssist (OEI, Region 2)
Airquest (OAQPS)
Environmental Justice Assessment (OEJ)
EnviroMapper for Brownfields (OSWER)
Cleanups in My Community (OSWER)
CERCLIS Site Locator (OSWER)
EnviroMapper for Compliance (OSWER)
Waste Management Facility Siting (OSWER)
28. WATERS Map Services
ArcIMS Services
• 2 Image
• 2 Feature
NHD Layers
EPA Water Program
Features
Reference Layers
29. WATERS Download Service
Water Program Features
from the RAD
One shape file for each
Program in a single ZIP file
By state or cataloging unit
Includes FGDC metadata
31. Add a Map to Your Own Web page
- EnviroMapper Openlink Service
32. Challenges!
Establish an equitable funding solution for
delivering computationally intensive
shared services. (Eliminate WCF
disincentive for providing web services)
Deploy an Enterprise Identity
Management Solution in FY 05
Establish a functional shared development
environment for the Agency
33. Enhancing the WATERS Framework
with NHD-Plus!
NHD
Hydrographic features for making maps
A national stream addressing system
A modeling network for navigating upstream/downstream
A maintenance infrastructure
NHD-Plus
More names
Value-added attributes
NHD reach catchments with attributes
Flow volume and velocity
Flow grids
34. The Big One that Didn’t Get Away!
Lake Chargoggagoggman-Chauggagoggchaubunagungamaugg
Official short form “Lake Chaubunagungamaug” in EnviroMapper
37. Elevation-based NHD Catchments
Based upon the integration
of the:
NHD
National Elevation
Dataset (NED)
Watershed Boundary
Dataset (WBD)
Catchment attributes:
Precipitation
Temperature
Elevations
Slope
Land Cover
etc
38. Flow Volume and Velocity
The Goals:
Catchments for every NHD reach to tie overland flow to the
network
Enhance NHD with elevation-derived attributes such as slope
Improved velocity estimates based upon new Time of Travel
database
Estimate stream flow volume (mean annual) and velocity Enable
NHD-based SPARROW, Time-of-Travel models
The Team:
EPA
USGS Mapping and Water Disciplines
U of Texas
39. Assessing Recovery Potential
of Impaired Waters
Joint OW/ORD project
Recovery potential: the
likelihood of an impaired water
to reattain Water Quality
Standards, given its ecological
capacity to regain lost functions,
its exposure to stressors, and its
social context.
Opportunity to consider
landscape factors related to
recovery potential within
drainage areas and stream
corridors, using GIS
40. Assessing Recovery Potential
of Impaired Waters (cont’d)
Some Implications of this Project:
Over 800 impaired (303d-listed) streams in
Illinois, yet their exact watersheds are not
delineated; this stumbling block prevents
rapid, statewide GIS assessment in routine
water program planning.
There are tens of thousands of similar
waters nationally.
Availability of good drainage area
delineations/tools removes an obstacle to
statewide comparative spatial assessments
such as recovery potential screening.
41. Water Modeling for the Incident
Commander (ICWater)
Partners
US Forest Service
Technical Support Working Group (TSWG)
DTRA
EPA
USGS
Water sources are vulnerable
Preparedness will reduce consequences to the
public of an attack
Incident Commanders need timely information to
act effectively
Tool will provide ICs critical information when they
need it
43. OW is Covered with WATERS
Immediate Office
Office of Wetlands Oceans & Watersheds
• Assessment & Watershed Protection Division
• Oceans & Coastal Protection Division
• Wetlands Division
• Management & Operations Staff
• Communications Team
• Water Policy Staff
• Resource Management Staff
• American Indian Environmental Office
Office of Wastewater Management
• Municipal Support Division
• Water Permits Division
Office of Ground Water & Drinking Water
• Water Security Division
• Drinking Water Protection Division
• Standards & Risk Management Division
Office of Science & Technology
• Engineering & Analysis Division
• Health & Ecological Criteria Division
• Standards & Health Protection Division
44. Endangered Species: An Example Potential Use of
NHD in Pesticide Risk Assessments
The Office of Pesticide Programs is exploring the use of the NHD and value-added
attributes in a variety of applications related to pesticide risk assessments.
In this example, NHD navigation tools are combined with the NLCD and NHD
catchments (Thiessen-based) to estimate the direct and indirect effects of agricultural
pesticide use on endangered aquatic species.
Figure 1 shows Percent Cropped Area (PCA) calculated for each NHD catchment.
Figure 2 shows NHD stream segments rated based on measurements of agricultural
intensity. Red represents direct affects, and yellow, the indirect effects of agricultural
pesticide use.
PCA by Catchment
NHD
Thiessen
pca
Endangered Species
Effects by NHD
Stream Segment
0%
1 - 10
PCA = 100%
11 - 20
PCA > 50%
21 - 30
PCA < 50%
31 - 40
cropland
41 - 50
51 - 60
Thiessen Polygon
61 - 70
71 - 80
81 - 90
100
Figure 1
Figure 2
45. USGS Water District NHD Rollout
25,000 gages linked to NHD
Gage drainage areas with attributes
NHD with linked water program data
NHD Plus (as it becomes available)
Recognized federal and state partner
in the field
46. USGS NAWQA SPARROW Modeling
Original USGS SPARROW
(Spatially Referenced
Regressions on Watershed
Attributes) water quality models
based upon Reach File Version 1
(RF1) 1:500,00-scale
Success of EPA-funded NHDbased New England SPARROW
model (at right) has motivated
plan to conduct similar modeling
for several USGS NAWQA study
areas during 05/06
47. USGS StreamStats
Web application StreamStats that greatly
reduces the time needed to estimate
streamflow statistics for ungaged sites and
to make published streamflow statistics for
USGS data-collection stations easily
accessible
Based upon state-specific regression
equations
Supports TMDLs
48. Training and Outreach
Cross-program
coordination role
Headquarters team
Regions
State/Tribal partners
On-site training to HQ, Region & State clients
On-line tutorials for applications including
video!
Comprehensive technical support
waters_support@epa.gov
1-800-844-0638
49. Summary
WATERS framework improving
More data available, more analyses
possible, with greater access
Enabling Informed Decision-Making
Notas del editor
Near Webster, Massachusetts
5th longest word in the world (Guiness Book of World Records)
Longest lake name anywhere (Boston Globe)
Translates loosely as "You fish on your side, I fish on my side.”
A feeling many fishermen can relate to when the fish are biting on my side of the lake.
- labeling, searching (good service!), indexing aid
- Reviewed 2 million nhd reaches against ½ a million gnis hydro feature names