2008 Toxics Release Inventory (TRI) National Training Conference Washington, DC

Transcription

1 TRI-NATA Explorer 2008 Toxics Release Inventory (TRI) National Training Conference Washington, DC February 12, 2008 Ted Palma - EPA Office of Air Quality Planning and Standards Kim Balassiano - EPA OEI/OIAA Information Access Division

2 Development of TRI-NATA Explorer Goal - Put TRI air emissions into risk context OEI has developed TRI database OAQPS has developed NATA database OAQPS had initially developed NATAexplorer tool (unfunded!) OEI Staff have begun enhancing the tool 2

3 What is NATA? Characterization of air toxics risks across the nation Modeling assessment performed by the USEPA to characterize chronic cancer and noncancer risk estimates for the 133 HAPs Includes many sources of outdoor origin Inhalation only Tools for State/Local/Tribal Agencies (and EPA) to prioritize pollutants, emission sources and locations of interest Provides a starting point for local-scale assessments Focuses on community efforts Informs monitoring programs Results are available in database on NATA website 3

4 NATA History 1996 NATA Based on 1996 NTI Release May HAPs 1999 NATA Based on 1999 NEI Released Feb HAPs 2002 NATA Will be based on 2002 NEI Expected Release Early

5 Who currently uses NATA? EPA Data for standard setting Risk and Technology Review Area source rulemaking MSAT Rule used NATA for current and projected risk levels Air Toxics monitoring NATTS Priority HAPs/Site locations Support Urban monitoring efforts Accountability Measures GPRA, 112(k), PART AQM Phase 1 ( Recommendation 1.5 Framework for Accountability) Used to link Air Toxic to Criteria Program Overlay Hot Spots with nonattainment areas (e.g. Detroit) Evaluate the toxic components of PM States Many State Air Toxic Program set air toxic priorities using NATA Identify gaps in emissions inventories and encourages inventory improvements Communities Serves as a starting point Information and priority setting 5

6 Improvements in the 2002 NATA Inventory Improvements Cr speciation More tribal data RTR review Integration of HAPs and CAPs QA/QC Improved point source characterization Model at census block using HEM3 (AERMOD) Retain individual source contributions Will group into source categories Improved non-point source characterization Area sources - grouped into 27 area source bins Mobile sectors - grouped into 9 source bins Updated exposure characterization approach Using exposure ratios in lieu of running HAPEM Allows us to retain individual facility and areas source category contribution to risk Improved Background Characterization ti Updated monitoring data (NATTS) Improved regional representation 6

7 1999 NATA - National Scale Assessment Predicted County Level Cancer Risk County Medians Median Risk Level <1 in a Million 1-25 in a Million in a Million in a Million in a Million >100 in a Million Spatially, most of country predicted to have risk between 1 and 25 in a million M t urban Most b llocations ti greater t th than 25 iin a million illi Transportation corridors and some locations greater than 50 in a million Several counties greater than 100 in a million

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10 The whole is greater than the sum of the parts. + + = TRI NATA GIS TRI-NATA Explorer

11 Getting the Right Information How can TRI-NATA Explorer better provide information community audiences are interested in? How can we make the risk information presented by TRI-NATA Explorer more understandable and useful? How can we help people better understand the uncertainty associated with the information provided by TRI-NATA Explorer? How can TRI-NATA Explorer be made easier to use? 11

12 Putting Risk Info into Context Feedback from focus group was that people want to know: What does a cancer risk of 25 in a million actually mean? Should I be concerned? Risk ladder is a visual tool that depicts magnitude of risk. Risk in question compared against more familiar types of risk 12

13 MAINE QUEBEC Campbellton Kedgwick Madawaska Edmundston Caraquet Tracadie Tignish NEW BRUNSWICK PRINCE EDWARD I. Summerside Moncton Charlottetown Fredericton Amherst Parrsboro St. John NOVA SCOTIA Moisie Kentville Sheet Harbor Dartmouth Bridgewater Shelburne 1996 MAGELLAN Geogr aphixsmsanta Barbara, CA (805) racadie Halifax New Glasgow Stephenville Channel-Port aux Basques Sydney St. Barbe Baie Verte CornerBrook St. Anthony La Scie Gander Wesleyville NEWFOUNDLAND Clarenville St. St John s. Albans Burgeo Marytown Placentia Branch St. Lawrence Atlantic Ocean St. Shotts 1 in 1 person 1 in 10 family sk Sc cale Com mmun nity Ri Ris sk Magnitu ude 1 in 100 street 1 in 1,000 village 1 in 10,000 small town 1 in 100,000 large town 1 in 1 million city 1 in 10 million small country USA 1 in 100 million large country

14 Putting Risk Info into Context OEI and OAQPS considering other possible risk ladders Examples Risks of daily life: car, plane, bike accidents Other health risks: smoking, dietary habits Risk associated with EPA decisions: residual drinking water and air risks 14

15 What does the tool look like? 15

16 Select Geography & Data

17 Get Map

18 Zoom into area of concern

19 Query NATA Data

20 Query TRI Data

21 Generate Envirofacts Report

22 Directly Import Data into Google Earth

23 Generate Demographic Information of Area

24 Planned Application Enhancements Replace or add 1999 NATA data with 2002 NATA data Retool for public consumption by adding explanatory text (i.e., risk ladder) Standardize the map controls (pan, zoom, identify) to be consistent with today's mapping applications 24

25 TRI-NATA Explorer Tentative Schedule Internal EPA Focus Group Review September 2007 Initial Software Enhancements - Fall 2007 External Focus Group Review Spring/Summer 2008 Final Enhancements e Summer 2008 Update with 2002 NATA Summer 2008 Public Release Late

26 TRI-NATA Explorer Development Team Ted Palma OAQPS Kim Balassiano OEI Art Koines - OEI Dave Wolf OEI Mike Petruska - OEI 26