1 / 26

Tools and Approaches for

Tools and Approaches for. Modeling Human Exposures to Multiple Pollutants. Sastry S. Isukapalli, Panos G. Georgopoulos, Paul J. Lioy. and the CCL/ORC Team. presented at the Clean Air Council Meeting, April 13, 2011. Computational Chemodynamics Laboratory.

mnatividad
Download Presentation

Tools and Approaches for

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Tools and Approaches for Modeling Human Exposures to Multiple Pollutants Sastry S. Isukapalli, Panos G. Georgopoulos, Paul J. Lioy and the CCL/ORC Team presented at the Clean Air Council Meeting, April 13, 2011 Computational Chemodynamics Laboratory Environmental and Occupational Health Sciences Institute (EOHSI) 170 Frelinghuysen Road, Piscataway, NJ 08854 1

  2. ORC/CCL employs a “One-Atmosphere” approach to account for physical/chemical transformations (e.g. involving .OH) over multiple spatial/temporal scales that “couple” the dynamics of multiple gaseous and particulate air pollutants PM (PM2.5, PM10, PMC, UPs, NPs, bioaerosols) SOx [or NOx] + NH3 + OH Æ (NH4)2SO4 [or NH4NO3] VOC + OH Æ Organic PM Fine PM (Nitrate, Sulfate, Organic PM) NOx + VOC + OH + hv Æ O3 .OH SO2 + OH Æ H2SO4 NO2 + OH Æ HNO3 NOx + SOx + OH (Lake Acidification, Eutrophication) Air Toxics( OM, PAH, Hg(II), etc.) 2

  3. Ambient air quality has been gradually but steadily improving in NJ: Overall trend for all criteria air pollutants in NJ, 1965-2009 Percentage of ambient criteria pollutant levels above or below the corresponding National Ambient Air Quality Standard (NAAQS) 3

  4. Ambient air quality has been (a) Monitored concentrations gradually but steadily improving in NJ: of benzene (1990-2007) Monitored concentrations of (a) benzene (1990-2007) and (b) formaldehyde (1996-2007) in NJ ... and this is taking place in spite of the increase in factors that could result in higher emission levels, such as vehicle miles traveled per person in NJ (b) Monitored concentrations of formaldehyde (1996-2007) NJDEP, 2009. New Jersey’s Environment Trends Report - Vehicle Miles Traveled. NJDEP, Office of Science. Trenton, NJ. 4

  5. Often the most significant exposures to airborne contaminants take place in confined (residential and public) microenvironments From: Georgopoulos, et al. (2009). Environmental Manager(October): 26-35 For most people the majority of exposures to airborne contaminants takes place through contact and inhalation of chemicals in indoor (residential or occupational) microenvironments. The air in these microenvironments contains a complex mixture of contaminants including those entrained from outdoor (ambient) air, those emitted indoors, and those formed via chemical transformations in indoor air (e.g. ultrafine particles formed 5 from the interaction of entrained ozone with emissions from household air fresheners and solvents).

  6. Often the most significant exposures to airborne contaminants take place in confined (residential and public) microenvironments Airborne indoor pollutants include secondary contaminants formed through the interaction of ambient air constituents and indoor emissions (from: Fan, et al. (2008) Environ Sci Technol 37: 1811-1821) From: Georgopoulos, et al. (2009). Environmental Manager(October): 26-35 For most people the majority of exposures to airborne contaminants takes place through contact and inhalation of chemicals in indoor (residential or occupational) microenvironments. The air in these microenvironments contains a complex mixture of contaminants including those entrained from outdoor (ambient) air, those emitted indoors, and those formed via chemical transformations in indoor air (e.g. ultrafine particles formed 6 from the interaction of entrained ozone with emissions from household air fresheners and solvents).

  7. Background, local outdoor, indoor, and personal concentration levels of three common air pollutants across diverse geographical areas Distributions of 48-hour integrated indoor, local outdoor, background outdoor and personal air concentrations from approx. 100 homes of non-smokers (and no attached garages), each in Elizabeth, NJ, Houston, TX, and Los Angeles, CA between 1999 and 2001. The three contaminants shown are: • benzene (representing a non- reactive gas), • formaldehyde (representing a highly reactive gas that is both emitted and formed through atmospheric photochemistry) and • PM2.5 From: Georgopoulos, et al. (2009). Environmental Manager (October): 26-35 7

  8. Understanding health (and ecological) effects and developing rational/optimal control strategies is complicated by the fact that air pollution is a multiscale problem in terms of both the environmental and the biological processes involved From: Georgopoulos, et al. (2009). Environmental Manager(October): 26-35 8

  9. Steps in MENTOR-1A for assessing inhalation exposures and doses to co-occurring air pollutants MENTOR‐1A: Modeling ENvironment for TOtal Risk studies (MENTOR) using a "One Atmosphere" (1A) setting 9

  10. Spatiotemporal patterns of surface formaldehyde (top) and benzene (bottom) concentrations predicted by CMAQ (at 12 km resolution) for January and July of 2001 10

  11. Benzene spatial distributions (annual and seasonal) and sample hourly time series predicted by CMAQ (at 4 km resolution) for 2001 11

  12. Formaldehyde spatial distributions (annual and seasonal) and sample hourly time series predicted by CMAQ (at 4 km resolution) for 2001 12

  13. MENTOR-1A estimates of the 90th percentile of annual/seasonal averages of hourly local (census tract) ambient benzene concentrations (ppb) for 2001 0-0.25 0.25-0.5 0.5-1 1-1.5 1.5-2 2-3 Winter Summer Spring Fall 13

  14. MENTOR-1A estimates of the 90th percentile of annual/seasonal averages of hourly local (census tract) personal exposure benzene concentrations due to outdoor air for 2001 Annual Winter Spring Fall Summer 14

  15. MENTOR-1A estimates of the 90th percentile of annual/seasonal averages of daily personal benzene intake (“dose”) (μg) due to outdoor air for 2001 Annual Winter Spring Fall Summer

  16. MENTOR-1A estimates of the 90th percentile of annual/seasonal averages of daily personal formaldehyde intake (“dose”) (μg) due to outdoor air for 2001 Annual Winter Summer Fall Spring 16

  17. Comparison of benzene doses with/without commuting and indoor sources cigarettes, garage emissions, and wood parquet (outdoor contribution) (indoor contribution) No indoor sources, and no garages Indoor sources and garages Note:  Impact of garage emissions is modeled through empirical indoor/outdoor relationship distributions. 17

  18. Interactions among contaminants is not limited to the environmental processes. They interact (often indirectly) within the body through induction/inhibition of metabolic enzymes. TCE Toluene Estimates of steady state blood concentrations taking into account only binary interactions (all chemicals at 50 ppm inhalation exposures) 18

  19. Additional Applications of the Multipollutant Paradigm: Modeling effects of climatic change on biogenic aeroallergens in a multipollutant framework Vegetation database in the Biogenic Emissions and Landuse Database (BELD3) Modeled concentrations using CMAQ-pollen: snapshot at 4 pm on April 16, 2002 2041-2070 minus 1971-2000, Mar Apr May Representative future meteorology: Seasonal average change in temperature and precipitation estimated by the CCSM driving AOGCM and MM5I 2041-2070 minus 1971-2000, Mar Apr May [Source: NARCCAP] CCSM: Community Climate System Model AOCGM: Atmospheric and Oceanic General Circulation Model MM5I: MM5 - PSU/NCAR mesoscale model NARCCAP: North American Regional Climate Change Assessment Program (http://www.narccap.ucar.edu/) 19

  20. A multipollutant risk paradigm for estimating exposures and risks in the aircraft cabin environmentusing computational fluid dynamics (CFD) CFD model CFD mesh Experiments vs CFD Experimental facility Kansas State University 20

  21. Ozone levels and reaction by-products in aircraft cabins Occupants Skin oil (i.e., squalene, oleic acid, unsaturated C2 in-flight ozone concentration westbound trans-continental sterols), isoprene, nitric oxide (NO), Q1 2009, B 757 - 200, No ozone converter Carpet & 4-PCH, 4-VCH, unsaturated fatty acids 120 Sampling duration: 5.0 h backing Max 1-minute ozone (ppb): 103 Eastbound Max 1-hour ozone (ppb): 84 100 Sample avg. concentration (ppb): 54 Seats Skin oil, fabric 80 Soiled air Unsaturated organics associated with captured 60 filters particles Westbound 40 20 Saturated aldehydes produced by ozone reactions 0 formaldehyde acetaldehyde sum C4-C8 nonanal decanal 0 1 2 3 4 5 6 Hours after take-off 30 25 Transatlantic flight ozone concentrations B 747 - January 2009 with ozone converter 20 15 120 10 100 5 80 Westbound 0 60 40 Eastbound Weschler et al., ES&T 2007 20 0 0 1 2 3 4 5 6 Hours after take-off Data and slides provided by C. Weshler and C. Weisel 21

  22. OTC States and modeling domain NOx Emissions (tons/yr) Biogenic, 114,670 EGU Point, 1,818,914 Area, 1,894,211 Non‐EGU Point, 1,818,914 Nonroad, 2,892,301 Mobile, 5,041,231 VOC emissions (tons/yr) Point, Mobile, 1,939,410 Nonroad, 1,151,217 2,259,879 Area, 5,501,846 Biogenic, 23,263,840 22

  23. Impact of uncertainties in biogenic emissions on predicted ozone and PM2.5 levels: effect on development of control strategies MEGAN - BEIS MEGAN BEIS Relative Reduction Factors (RRF) for Ozone • CMAQ simulations driven with outputs from MEGAN and BEIS emissions modeling systems • Control scenario with 40% across the board anthropogenic NOx reductions for year 2012 • Impact on ozone (approximately 5%) and PM2.5 levels (1-2%) • Indirect impact on inorganic PM2.5 RRF difference (MEGAN - BEIS) for 23 PM2.5 OM (left) and sulfate PM (right)

  24. Concluding Comments - A range of modeling and analysis tools have been developed at CCL/ORC and are being applied to inhalation (and total) exposures involving PM, air toxics, bioaerosols, nanoparticles, and multimedia contaminants (pesticides, solvents, heavy metals, etc.) in the ambient and in confined environments and microenvironments • Multiple existing modeling tools have been applied and tested (MM5, RAMS, HYPACT, HYSPLIT, M3/CMAQ, CAMx, ASPEN, AERMOD, HPAC, FLUENT, CFX; etc.) • Databases have been (or are being) assembled and restructured so as to facilitate future analyses (statistical and GIS) • A comprehensive and extensible new modeling framework (MENTOR) has been designed and implemented collaboratively with USEPA and is being applied to various situations of direct relevance to NJ and the region - The “One Atmosphere” is evolving into the “One Environment” model; “Person Oriented Modeling” is central in this approach • These concepts are slowly being “fused” into EPA regulatory tools and practices • ORC aims to keep working closely with NJDEP and other regional organizations to support current/future use of “best science” in regulatory practices 24

  25. Acknowledgments: Current research projects relevant to multipollutant exposure and risk modeling by the CCL/ORC group • NJ DEP - Base funding for the Ozone Research Center (ORC) at EOHSI • NJ DHSS - HIPPOCRATES - Mobile Access • NIH - Center for Environmental Exposure and Disease (CEED) at EOHSI - National Children’s Study (NCS) - Respiratory Effects of Silver and Carbon Nanomaterials (RESAC) • USEPA - Base support for the Center for Exposure and Risk Modeling (CERM) and for the Environmental Bioinformatics and Computational Toxicology Center (ebCTC) - Risk Assessment for Manufactured Nanoparticles Used in Consumer Products (RAMNUC) - Climatic Change and Allergic Airway Disease (CCAAD) • USDOD - University Center for Disaster Preparedness and Emergency (UCDPER) • FAA - Development of Risk Paradigm for Pesticides and Ozone/Ozone By-Products 25

  26. Acknowledgements • The CCL Team • NJDEP Personnel - Panos G. Georgopoulos - Shan He – Sastry Isukapalli - Linda Bonanno – Chris Brinkerhoff - Chris Salmi – Sagnik Mazumdar - Charles Pietarinen - Jocelyn Alexander - Sharon Davis – Steve Royce - Ray Papalski – Kristin Borbely - Bill O’Sullivan – Teresa Boutillette - Tonalee Key - Linda Everett - and many others…. – Zhong-Yuan "Wheat" Mi – Christos Efstathiou * • EOHSI/Rutgers Collaborators – Dwaipayan Mukherjee - Clifford Weisel – Alan Sasso * - Tina Fan - Rob Laumbach – Pamela Shade - Charles Weschler – Spyros Stamatelos * - Leonard Bielory - Xiaogang Tang - Alan Robock – Yong Zhang - and many others…. – Peter Koutsoupias • NYSDEC Collaborators *PhD awarded 2009-10 - Christian Hogrefe - Gopal Sistla • The OTC Team - Eric Zalewsky 26

More Related