SlideShare a Scribd company logo
EPA, HSIP and Infrastructure Data
Perspectives
David Smith
Ana Greene
Aaron Meyers
Lee Kyle

10/30/2013

202-566-0797
202-566-2132
202-566-0690
202-564-4622

Smith.DavidG@epa.gov
Greene.Ana@epa.gov
Meyers.Aaron@epa.gov
Kyle.Lee@epa.gov

U.S. Environmental Protection Agency

1
EPA Emergency Response
• EPA ER focus has
traditionally been on ESF-10
(Oil and Hazardous Waste) –
shared with US Coast Guard
• Responses typically deal
with sampling, monitoring,
cleanup and remediation
after a disaster event
• Hurricanes, Flooding, BP
Deepwater Horizon,
Pipeline
EPA Use of HSIP
• Typically EPA has used
HSIP as a reference
layer, present in many
ER tools and Flex
Viewer applications
• Schools, Hospitals,
Vulnerable
Populations
Hurricane Sandy
• Hurricane Sandy highlighted a need for
infrastructure data – and exposed many
locational data quality issues in drinking
water/wastewater infrastructure
• Poor data quality hampered response analysis, triage and prioritization of
assessment of drinking water facilities
• EPA’s Facility Registry Service aided EPA
Region 2 Regional EOC for Hurricane Sandy
response
Many DQ issues

Vague, incomplete or
invalid address

Wrong county

Drinking water locational data
quality problems included
missing/invalid lat-long values,
wrong county, missing or vague
locations and other locational
data problems
Invalid lat-long data
Drinking Water
• Ultimately only a small percentage of SDWIS
facilities had any reliable, mappable
locational data at all, whether lat/longs, or
street addresses that could be geocoded
• Data gaps for infrastructure data can be filled
via data from other programs and states
FRS and Hurricane Sandy

Locational data gaps and
incorrect data in SDWIS, as well
as supplemental contact
information were filled in via EPA
Facility Registry Service (FRS)
data from other EPA program
data sources (TRI and others),
and by research by FRS stewards
using other public data sources.
Drinking Water
• The emergency response community needs
reliable data on drinking water infrastructure,
but currently that need is not easily being
met.
• Better locations could be found via other
systems, but this was a labor intensive,
manual process.
• Lack of reliable data slows response time.
Wastewater
• Permitting data collected by states via
National Pollutant Discharge Elimination
System (NPDES) – but is incomplete and poor
logic for querying Publicly Owned Treatment
Works (POTWs)
• New data coming online via Clean Watershed
Needs Survey (CWNS)
ER Infrastructure
Data Needs
• Ideally ER community should be able to
prioritize and triage in a response, for
example assessing infrastructure condition by
population served
• We find data needs to be tied to other
identifiers, i.e. state ID or other programs
• May need some additional attributes
• FRS team is looking at how to help fill gaps
FRS Pilot Data Products
Thank You / Questions?
Topic

URL

FRS Home Site

http://www.epa.gov/enviro/html/fii/

FRS Geodata Download

http://www.epa.gov/enviro/geo_data.html

FRS REST Services

http://www.epa.gov/enviro/html/fii/FRS_REST_Services.html

FRS ArcGIS Server Service

http://igeo.epa.gov/ArcGIS/rest/services/OEI/FRS/MapServer

EPA Geospatial Program

http://www.epa.gov/geospatial/index.html

EPA Geodata Gateway

https://edg.epa.gov/

EPA Geo Metadata

https://edg.epa.gov/EME/

10/30/2013

U.S. Environmental Protection Agency

12

More Related Content

Viewers also liked

FRS Emergency Response Data Quality Initiatives
FRS Emergency Response Data Quality InitiativesFRS Emergency Response Data Quality Initiatives
FRS Emergency Response Data Quality Initiatives
Dave Smith / USEPA Office of Environmental Information
 
Linked Data W3C 20110629
Linked Data W3C  20110629Linked Data W3C  20110629
DC Web API Meetup Oct 4 2016
DC Web API Meetup Oct 4 2016DC Web API Meetup Oct 4 2016
ESRI DevMeetup 201100607
ESRI DevMeetup 201100607ESRI DevMeetup 201100607
chemsec_cfats_riskbased_performance_standards
chemsec_cfats_riskbased_performance_standardschemsec_cfats_riskbased_performance_standards
chemsec_cfats_riskbased_performance_standards
Mike Pobjoy
 
GeoDC Maker Talks: GPS-Enabled Sensor Platforms using Arduino
GeoDC Maker Talks:  GPS-Enabled Sensor Platforms using ArduinoGeoDC Maker Talks:  GPS-Enabled Sensor Platforms using Arduino
GeoDC Maker Talks: GPS-Enabled Sensor Platforms using Arduino
Dave Smith / USEPA Office of Environmental Information
 
Groundwater Contamination from Ammonia, Nitrate, & Nitrite: In Search of a R...
Groundwater Contamination from Ammonia, Nitrate, & Nitrite:  In Search of a R...Groundwater Contamination from Ammonia, Nitrate, & Nitrite:  In Search of a R...
Groundwater Contamination from Ammonia, Nitrate, & Nitrite: In Search of a R...
MECConference
 
Perimeter Security Scenario Questions
Perimeter Security Scenario QuestionsPerimeter Security Scenario Questions
Perimeter Security Scenario Questions
John N. Motlagh
 

Viewers also liked (8)

FRS Emergency Response Data Quality Initiatives
FRS Emergency Response Data Quality InitiativesFRS Emergency Response Data Quality Initiatives
FRS Emergency Response Data Quality Initiatives
 
Linked Data W3C 20110629
Linked Data W3C  20110629Linked Data W3C  20110629
Linked Data W3C 20110629
 
DC Web API Meetup Oct 4 2016
DC Web API Meetup Oct 4 2016DC Web API Meetup Oct 4 2016
DC Web API Meetup Oct 4 2016
 
ESRI DevMeetup 201100607
ESRI DevMeetup 201100607ESRI DevMeetup 201100607
ESRI DevMeetup 201100607
 
chemsec_cfats_riskbased_performance_standards
chemsec_cfats_riskbased_performance_standardschemsec_cfats_riskbased_performance_standards
chemsec_cfats_riskbased_performance_standards
 
GeoDC Maker Talks: GPS-Enabled Sensor Platforms using Arduino
GeoDC Maker Talks:  GPS-Enabled Sensor Platforms using ArduinoGeoDC Maker Talks:  GPS-Enabled Sensor Platforms using Arduino
GeoDC Maker Talks: GPS-Enabled Sensor Platforms using Arduino
 
Groundwater Contamination from Ammonia, Nitrate, & Nitrite: In Search of a R...
Groundwater Contamination from Ammonia, Nitrate, & Nitrite:  In Search of a R...Groundwater Contamination from Ammonia, Nitrate, & Nitrite:  In Search of a R...
Groundwater Contamination from Ammonia, Nitrate, & Nitrite: In Search of a R...
 
Perimeter Security Scenario Questions
Perimeter Security Scenario QuestionsPerimeter Security Scenario Questions
Perimeter Security Scenario Questions
 

Similar to HIFLD Presentation Fall 2013

Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
Kevin Perry
 
FME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
FME World Tour 2014 Customer Case Study - Local Government FME Server PilotFME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
FME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
IMGS
 
Asset Management presented at Tennessee APWA
Asset Management presented at Tennessee APWAAsset Management presented at Tennessee APWA
Asset Management presented at Tennessee APWA
Evan Pratt
 
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
Michael Hewitt, GISP
 
United States Geological Survey, Dr. William Guertal
United States Geological Survey, Dr. William GuertalUnited States Geological Survey, Dr. William Guertal
United States Geological Survey, Dr. William Guertal
TWCA
 
Tackling The Challenges Of Agency File Reviews
Tackling The Challenges Of Agency File ReviewsTackling The Challenges Of Agency File Reviews
Tackling The Challenges Of Agency File Reviews
EDR
 
Agency File Review (OC & SF DDDs)
Agency File Review (OC & SF DDDs)Agency File Review (OC & SF DDDs)
Agency File Review (OC & SF DDDs)
EDR
 
Waters {jal , pani}
Waters {jal , pani}Waters {jal , pani}
Waters {jal , pani}
Rohan Desale
 
Contributing to indicator-based management of transboundary aquatic systems
Contributing to indicator-based management of transboundary aquatic systemsContributing to indicator-based management of transboundary aquatic systems
Contributing to indicator-based management of transboundary aquatic systems
Iwl Pcu
 
Greater Baltimore Wilderness Coalition 9/15 update
Greater Baltimore Wilderness Coalition 9/15 updateGreater Baltimore Wilderness Coalition 9/15 update
Greater Baltimore Wilderness Coalition 9/15 update
Michael Galvin
 
The Importance of Robust Data when Dealing with Natural Events
The Importance of Robust Data when Dealing with Natural EventsThe Importance of Robust Data when Dealing with Natural Events
The Importance of Robust Data when Dealing with Natural Events
Simon Gough
 
Cal Poly - Data Management and the DMPTool
Cal Poly - Data Management and the DMPToolCal Poly - Data Management and the DMPTool
Cal Poly - Data Management and the DMPTool
Carly Strasser
 
Hydro Licensing & Compliance Forum
Hydro Licensing & Compliance ForumHydro Licensing & Compliance Forum
Hydro Licensing & Compliance Forum
Mwestergaard
 
Nebc 2018-visuals
Nebc 2018-visualsNebc 2018-visuals
Nebc 2018-visuals
Richard Shepard
 
The Future of Technology in Stormwater: Drones to Augmented Reality
The Future of Technology in Stormwater: Drones to Augmented RealityThe Future of Technology in Stormwater: Drones to Augmented Reality
The Future of Technology in Stormwater: Drones to Augmented Reality
Mapistry
 
Atlas of Environmental Health
Atlas of Environmental HealthAtlas of Environmental Health
Atlas of Environmental Health
piers_higgs
 
Dilling nccsc april 5 2013
Dilling nccsc april 5 2013Dilling nccsc april 5 2013
Dilling nccsc april 5 2013
NC_CSC
 
TDA/SAP Methodology Training Course Module 2 Section 3
TDA/SAP Methodology Training Course Module 2 Section 3TDA/SAP Methodology Training Course Module 2 Section 3
TDA/SAP Methodology Training Course Module 2 Section 3
Iwl Pcu
 
RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...
ASIS&T
 
Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
 Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing... Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
hydrologyproject001
 

Similar to HIFLD Presentation Fall 2013 (20)

Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
Kimberly Hoke, Christopher Miller, MDNR, E-everything at Missouri DNR, Missou...
 
FME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
FME World Tour 2014 Customer Case Study - Local Government FME Server PilotFME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
FME World Tour 2014 Customer Case Study - Local Government FME Server Pilot
 
Asset Management presented at Tennessee APWA
Asset Management presented at Tennessee APWAAsset Management presented at Tennessee APWA
Asset Management presented at Tennessee APWA
 
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
Nora Sullivan, Ohio University Voinovich School, “Water Quality Monitoring – ...
 
United States Geological Survey, Dr. William Guertal
United States Geological Survey, Dr. William GuertalUnited States Geological Survey, Dr. William Guertal
United States Geological Survey, Dr. William Guertal
 
Tackling The Challenges Of Agency File Reviews
Tackling The Challenges Of Agency File ReviewsTackling The Challenges Of Agency File Reviews
Tackling The Challenges Of Agency File Reviews
 
Agency File Review (OC & SF DDDs)
Agency File Review (OC & SF DDDs)Agency File Review (OC & SF DDDs)
Agency File Review (OC & SF DDDs)
 
Waters {jal , pani}
Waters {jal , pani}Waters {jal , pani}
Waters {jal , pani}
 
Contributing to indicator-based management of transboundary aquatic systems
Contributing to indicator-based management of transboundary aquatic systemsContributing to indicator-based management of transboundary aquatic systems
Contributing to indicator-based management of transboundary aquatic systems
 
Greater Baltimore Wilderness Coalition 9/15 update
Greater Baltimore Wilderness Coalition 9/15 updateGreater Baltimore Wilderness Coalition 9/15 update
Greater Baltimore Wilderness Coalition 9/15 update
 
The Importance of Robust Data when Dealing with Natural Events
The Importance of Robust Data when Dealing with Natural EventsThe Importance of Robust Data when Dealing with Natural Events
The Importance of Robust Data when Dealing with Natural Events
 
Cal Poly - Data Management and the DMPTool
Cal Poly - Data Management and the DMPToolCal Poly - Data Management and the DMPTool
Cal Poly - Data Management and the DMPTool
 
Hydro Licensing & Compliance Forum
Hydro Licensing & Compliance ForumHydro Licensing & Compliance Forum
Hydro Licensing & Compliance Forum
 
Nebc 2018-visuals
Nebc 2018-visualsNebc 2018-visuals
Nebc 2018-visuals
 
The Future of Technology in Stormwater: Drones to Augmented Reality
The Future of Technology in Stormwater: Drones to Augmented RealityThe Future of Technology in Stormwater: Drones to Augmented Reality
The Future of Technology in Stormwater: Drones to Augmented Reality
 
Atlas of Environmental Health
Atlas of Environmental HealthAtlas of Environmental Health
Atlas of Environmental Health
 
Dilling nccsc april 5 2013
Dilling nccsc april 5 2013Dilling nccsc april 5 2013
Dilling nccsc april 5 2013
 
TDA/SAP Methodology Training Course Module 2 Section 3
TDA/SAP Methodology Training Course Module 2 Section 3TDA/SAP Methodology Training Course Module 2 Section 3
TDA/SAP Methodology Training Course Module 2 Section 3
 
RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...RDAP14: Collaboration and tension between institutions and units providing da...
RDAP14: Collaboration and tension between institutions and units providing da...
 
Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
 Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing... Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
Download-manuals-ground water-manual-gw-volume8operationmanualdataprocessing...
 

More from Dave Smith / USEPA Office of Environmental Information

Chemical Facilities Safety - Executive Order 13560
Chemical Facilities Safety - Executive Order 13560Chemical Facilities Safety - Executive Order 13560
Chemical Facilities Safety - Executive Order 13560
Dave Smith / USEPA Office of Environmental Information
 
Linked GeoData - WhereCampDC 20110610
Linked GeoData - WhereCampDC 20110610Linked GeoData - WhereCampDC 20110610
Linked GeoData - WhereCampDC 20110610
Dave Smith / USEPA Office of Environmental Information
 
Health Data Initiative 20110609
Health Data Initiative 20110609Health Data Initiative 20110609
FRS Linked Open Data Concept v1.3 20101130
FRS Linked Open Data Concept v1.3 20101130FRS Linked Open Data Concept v1.3 20101130
FRS Linked Open Data Concept v1.3 20101130
Dave Smith / USEPA Office of Environmental Information
 
EcoInformatics FRS Presentation 20101206
EcoInformatics FRS Presentation 20101206EcoInformatics FRS Presentation 20101206
EcoInformatics FRS Presentation 20101206
Dave Smith / USEPA Office of Environmental Information
 
EcoInformatics FRS Presentation - Discussion 20101206
EcoInformatics FRS Presentation - Discussion 20101206EcoInformatics FRS Presentation - Discussion 20101206
EcoInformatics FRS Presentation - Discussion 20101206
Dave Smith / USEPA Office of Environmental Information
 

More from Dave Smith / USEPA Office of Environmental Information (6)

Chemical Facilities Safety - Executive Order 13560
Chemical Facilities Safety - Executive Order 13560Chemical Facilities Safety - Executive Order 13560
Chemical Facilities Safety - Executive Order 13560
 
Linked GeoData - WhereCampDC 20110610
Linked GeoData - WhereCampDC 20110610Linked GeoData - WhereCampDC 20110610
Linked GeoData - WhereCampDC 20110610
 
Health Data Initiative 20110609
Health Data Initiative 20110609Health Data Initiative 20110609
Health Data Initiative 20110609
 
FRS Linked Open Data Concept v1.3 20101130
FRS Linked Open Data Concept v1.3 20101130FRS Linked Open Data Concept v1.3 20101130
FRS Linked Open Data Concept v1.3 20101130
 
EcoInformatics FRS Presentation 20101206
EcoInformatics FRS Presentation 20101206EcoInformatics FRS Presentation 20101206
EcoInformatics FRS Presentation 20101206
 
EcoInformatics FRS Presentation - Discussion 20101206
EcoInformatics FRS Presentation - Discussion 20101206EcoInformatics FRS Presentation - Discussion 20101206
EcoInformatics FRS Presentation - Discussion 20101206
 

Recently uploaded

JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Alex Pruden
 
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
alexjohnson7307
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
Shinana2
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Precisely
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Tomaz Bratanic
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
HarisZaheer8
 
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Tatiana Kojar
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Wask
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
saastr
 

Recently uploaded (20)

JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
 
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
dbms calicut university B. sc Cs 4th sem.pdf
dbms  calicut university B. sc Cs 4th sem.pdfdbms  calicut university B. sc Cs 4th sem.pdf
dbms calicut university B. sc Cs 4th sem.pdf
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframeDigital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
 
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracyGraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
 
AWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptxAWS Cloud Cost Optimization Presentation.pptx
AWS Cloud Cost Optimization Presentation.pptx
 
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
 

HIFLD Presentation Fall 2013

  • 1. EPA, HSIP and Infrastructure Data Perspectives David Smith Ana Greene Aaron Meyers Lee Kyle 10/30/2013 202-566-0797 202-566-2132 202-566-0690 202-564-4622 Smith.DavidG@epa.gov Greene.Ana@epa.gov Meyers.Aaron@epa.gov Kyle.Lee@epa.gov U.S. Environmental Protection Agency 1
  • 2. EPA Emergency Response • EPA ER focus has traditionally been on ESF-10 (Oil and Hazardous Waste) – shared with US Coast Guard • Responses typically deal with sampling, monitoring, cleanup and remediation after a disaster event • Hurricanes, Flooding, BP Deepwater Horizon, Pipeline
  • 3. EPA Use of HSIP • Typically EPA has used HSIP as a reference layer, present in many ER tools and Flex Viewer applications • Schools, Hospitals, Vulnerable Populations
  • 4. Hurricane Sandy • Hurricane Sandy highlighted a need for infrastructure data – and exposed many locational data quality issues in drinking water/wastewater infrastructure • Poor data quality hampered response analysis, triage and prioritization of assessment of drinking water facilities • EPA’s Facility Registry Service aided EPA Region 2 Regional EOC for Hurricane Sandy response
  • 5. Many DQ issues Vague, incomplete or invalid address Wrong county Drinking water locational data quality problems included missing/invalid lat-long values, wrong county, missing or vague locations and other locational data problems Invalid lat-long data
  • 6. Drinking Water • Ultimately only a small percentage of SDWIS facilities had any reliable, mappable locational data at all, whether lat/longs, or street addresses that could be geocoded • Data gaps for infrastructure data can be filled via data from other programs and states
  • 7. FRS and Hurricane Sandy Locational data gaps and incorrect data in SDWIS, as well as supplemental contact information were filled in via EPA Facility Registry Service (FRS) data from other EPA program data sources (TRI and others), and by research by FRS stewards using other public data sources.
  • 8. Drinking Water • The emergency response community needs reliable data on drinking water infrastructure, but currently that need is not easily being met. • Better locations could be found via other systems, but this was a labor intensive, manual process. • Lack of reliable data slows response time.
  • 9. Wastewater • Permitting data collected by states via National Pollutant Discharge Elimination System (NPDES) – but is incomplete and poor logic for querying Publicly Owned Treatment Works (POTWs) • New data coming online via Clean Watershed Needs Survey (CWNS)
  • 10. ER Infrastructure Data Needs • Ideally ER community should be able to prioritize and triage in a response, for example assessing infrastructure condition by population served • We find data needs to be tied to other identifiers, i.e. state ID or other programs • May need some additional attributes • FRS team is looking at how to help fill gaps
  • 11. FRS Pilot Data Products
  • 12. Thank You / Questions? Topic URL FRS Home Site http://www.epa.gov/enviro/html/fii/ FRS Geodata Download http://www.epa.gov/enviro/geo_data.html FRS REST Services http://www.epa.gov/enviro/html/fii/FRS_REST_Services.html FRS ArcGIS Server Service http://igeo.epa.gov/ArcGIS/rest/services/OEI/FRS/MapServer EPA Geospatial Program http://www.epa.gov/geospatial/index.html EPA Geodata Gateway https://edg.epa.gov/ EPA Geo Metadata https://edg.epa.gov/EME/ 10/30/2013 U.S. Environmental Protection Agency 12

Editor's Notes

  1. Many invalid lat/longs, such as ‘0’ longitude as shown in screenshot