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Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University of Texas at Austin 4 December 2013
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Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Dec 14, 2015

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Page 1: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Towards a 3D National Hydrography Dataset

Presentation made to the US Geological Survey By David R. Maidment

Center for Research in Water ResourcesUniversity of Texas at Austin

4 December 2013

Page 2: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

2

Key Transitions in GIS

• Paper maps to digital data• National Spatial Data

Infrastructure development• Started in 1990’s• Took more than a decade to

complete

• Digital data to web services• Started about 3 years ago• Will take years to complete• Both data and model

services

Maps

Data

Services

Page 3: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

3

Desktop and Web GIS

• Desktop GIS• Web GIS

Maps

Data

Maps

Services

Desktop GIS creates maps using local data on your computer

Web GIS creates maps using web services coming from anywhere

Page 4: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Vision for the NSDI – shared services

Desired Future State of NSDI

• Create network of resources and services

• Facilitate discovery, access and application of resources

• Leverage shared standard-based services

• Develop core set of information layers that interface with nonspatial data

• Use real-time data feeds and sensor webs

This could equally be applied to water services

Page 5: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

http://www.whitehouse.gov/sites/default/files/microsites/ostp/nstc_2013_earthobsstrategy.pdf

“WaterML: Water Markup Language (ML) is an informatics initiative of the CENRS Subcommittee on Water Availability and Quality that provides a systematic way to access water information from point observation sites.” (p.21)

Committee on Environmental, Natural Resources, and Sustainability (CENRS)

Page 6: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

GEOSS – Global Earth Observation System of Systems

Group on Earth Observations (GEO) . . .. . . located with WMO in Geneva

Page 7: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Water Observation – In Situ

Water Quantity Rainfall Soil Water

Water Quality Meteorology Groundwater

Time series data at point locations

Page 8: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

www.cuahsi.org

Consortium of Universities for the Advancement of Hydrologic Science, Inc.

CUAHSI A consortium representing 125 US universitiesDr. Richard Hooper, President and CEO

Building an academic prototype system

Supported by the National Science Foundation Earth Science Division

Advances hydrologic science in nation’s universities

Includes a Hydrologic Information System project

Invented WaterML language for water resources time series

Page 9: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Web Pages and Web Services

Web pages deliver text and imageshttp://water.usgs.gov

Web services deliver data encoded in XMLhttp://waterservices.usgs.gov/

Page 10: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

OGC/WMO Hydrology Domain Working Group

2008

4-Year International Effort – WaterML2

2009 2010 2011 2012

November 2009

Hydrology Domain Working Group formed

OGC at WMO Commission on HydrologyTechnical Meetings Each 3 MonthsFour Interoperability Experiments

(Surface water, groundwater, forecasting)Annual week-long workshops

Involvement by many countries

Acknowledgements: OGC, WMO, GRDC, CUAHSI, BoM/CSIRO, USGS, GSC, Kisters, …….

A time series for one variable at one location

Page 11: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

River Channels

Aquatic Biology

River Network Channel Shape

Flooding

Geography

Applications

Page 12: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

RiverML: Standardizing the Communication of River Model Data

OCI-1148453 (2012-2017)OCI-1148090 (2012-2017)

Stephen R. JacksonDavid R. Maidment

David K. ArcturCenter for Research in Water Resources

University of Texas at Austin

Page 13: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.
Page 14: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Representing River Geometry in HydroShare

Hydraulic Calculations

LiDAR

Cross Sections

Cross Sections Attached to River Network

Page 15: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Cross-Sections and Base Flood Elevations

Page 16: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Base Flood Elevations (100 yr flood)

489’

488’

487’ 485’

484’

483’

Highway 183

Page 17: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

HEC-RAS Longitudinal Profile of Base Flood Elevation on Onion Ck

Distance from lower end of channel

Elevation above datum

Page 18: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Cross-Section 55670 in HEC-RASElevation of 100 year flood is 487 ft above datum at cross-section 55670 ft from lower end of channel

Page 19: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Channel Cross-SectionDirection of Flow

Cross-Section

Channel

Page 20: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

From the NSF project proposal: “As an exemplar for advancing data access, we will establish a national repository within HydroShare for river channel cross section data: a new data type not presently supported by CUAHSI HIS. Since 2003, the United States has spent more than $2 billion on digital flood map modernization. A great deal of river channel cross-section, morphology and hydraulic modeling data has been developed to support this mapping and some of that could be repurposed to advance water science. This repository will include a mechanism for voluntary submission of information and it will provide access to this data in a standard way such that it is easy to run hydraulic models that use this data on either local or HPC environments.”

HydroShare: Channel Data

Page 21: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

HydroShare.org: Web-based collaborativeenvironment for sharing data & models

Page 22: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Sample Hydraulic Model: HEC-RAS

Calculated Water Surface Elevation

Georeferenced Cross Sections

At present, river data formats are software-specific, and thus options for data sharing are limited.

Page 23: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

HydroShare: Resource Discovery

With a standardized exchange language, generalized tools can be developed to discover, view, and share river information independent of the software package which generated the data.

Page 24: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

OGC HY_Features: General Semantic Structure

class reach-outfall-basin

«FeatureType»HY_Catchment::HY_ReferencePoint

+ refPoint: GM_Point [0..1]+ refPointType: HY_RefPointType [0..1]

«FeatureType»HY_Catchment::

HY_Outfall

HY_Catchment

«FeatureType»HY_Catchment::HY_Basin

+ code: RS_Identifier [0..1]

«FeatureType»HY_SurfaceWaterBodyConfines::

HY_Reach

«FeatureType»HY_SurfaceWaterBodyConfines::

HY_CrossSection

«FeatureType»HY_SurfaceWaterBodyConfines::

HY_Channel

+reach 0..*

0..*

+crossSectionPoint

0..*

+crossSection 0..*

+contributingBasin1..*

+pointOfOutflow1

0..*

+containingBasin 0..1

+pointOfInflow 0..1

+receivingBasin 0..*

+networkLocation 0..1

Hydraulic Hydrologic

Based on International Glossary of Hydrology

Page 25: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Hydrologic Calculation Software(HEC-HMS, PondPack, etc.)

Terrain Processing Software(ArcGIS, AutoCAD, etc.)

Hydraulic Calculation Software(HEC-RAS, MIKE Flood HD, etc)

RiverML: Interoperability in River Modeling

RiverML (Flow Rate Observations)

RiverML(Geometry, Catchment, River Network)

RiverML (Water Surface

Elevation Observations)

RiverML(Geometry, River Network)

Page 26: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Geometry: Cross Sections and Flow Lines

Cross Sections Center Flow Line

Overbank Flow Lines Topological Flow Lines

Page 27: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Relationship between “Q” and “h”

Page 28: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Relationship between “Q” and “h”

Page 29: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Relationship between “Q” and “h”

Page 30: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Relationship between “Q” and “h”

Page 31: Towards a 3D National Hydrography Dataset Presentation made to the US Geological Survey By David R. Maidment Center for Research in Water Resources University.

Conclusions• The OGC/WMO Hydrology Domain Working Group has

effectively become the mechanism for international standards development for water

• This group: • Published in 2012 the WaterML2 standard for water time series

(now endorsed by OSTP)• Is working on a “ratings and gagings” standard for Q vs h• Has endorsed the idea of developing RiverML

• How can these developments be leveraged for formation of a 3DNHD?

• How does the USGS function as an authoritative source of river channel information in the internet age?