George Pouliot

ORCID: 0000-0003-3406-4814
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About
Contact & Profiles
Research Areas
  • Atmospheric chemistry and aerosols
  • Air Quality and Health Impacts
  • Atmospheric and Environmental Gas Dynamics
  • Vehicle emissions and performance
  • Air Quality Monitoring and Forecasting
  • Atmospheric Ozone and Climate
  • Fire effects on ecosystems
  • Atmospheric aerosols and clouds
  • Meteorological Phenomena and Simulations
  • Fire dynamics and safety research
  • Wind and Air Flow Studies
  • Environmental Policies and Emissions
  • Ocean Waves and Remote Sensing
  • Evaluation Methods in Various Fields
  • Geophysics and Gravity Measurements
  • Oil, Gas, and Environmental Issues
  • Plant responses to elevated CO2
  • Fire Detection and Safety Systems
  • Nuclear and radioactivity studies
  • Aeolian processes and effects
  • Arctic and Antarctic ice dynamics
  • Groundwater and Isotope Geochemistry
  • Soil and Water Nutrient Dynamics
  • Odor and Emission Control Technologies
  • Climate Change and Health Impacts

Environmental Protection Agency
2016-2025

Research Triangle Park Foundation
2014-2024

Natural Resources Conservation Service
2020

VA Office of Research and Development
2014-2015

Triangle
2008

National Oceanic and Atmospheric Administration
2005-2008

NOAA Air Resources Laboratory
2005-2008

Georgia Institute of Technology
2007

North Carolina State University
2005

Abstract. The mandate of the Task Force Hemispheric Transport Air Pollution (TF HTAP) under Convention on Long-Range Transboundary (CLRTAP) is to improve scientific understanding intercontinental air pollution transport, quantify impacts human health, vegetation and climate, identify emission mitigation options across regions Northern Hemisphere, guide future policies these aspects. harmonization improvement regional inventories imperative obtain consolidated estimates formation global-scale...

10.5194/acp-15-11411-2015 article EN cc-by Atmospheric chemistry and physics 2015-10-15

Numerous scientific upgrades to the representation of secondary organic aerosol (SOA) are incorporated into Community Multiscale Air Quality (CMAQ) modeling system. Additions include several recently identified SOA precursors: benzene, isoprene, and sesquiterpenes; pathways: in-cloud oxidation glyoxal methylglyoxal, particle-phase oligomerization, acid enhancement isoprene SOA. NOx-dependent aromatic yields also added along with new empirical measurements enthalpies vaporization...

10.1021/es100636q article EN Environmental Science & Technology 2010-09-30

The Community Multiscale Air Quality (CMAQ) model is a comprehensive multipollutant air quality modeling system developed and maintained by the US Environmental Protection Agency's (EPA) Office of Research Development (ORD). Recently, version 5.1 CMAQ (v5.1) was released to public, incorporating large number science updates extended capabilities over previous release (v5.0.2). These include following: improvements in meteorological calculations both Weather Forecast (WRF) used provide fields...

10.5194/gmd-10-1703-2017 article EN cc-by Geoscientific model development 2017-04-21

Significance Secondary organic aerosol (SOA) formed from the atmospheric oxidation of gaseous combustion emissions is an important component global fine-particle pollution, which influences Earth’s energy budget and affects human health. However, existing models underpredict amount SOA measured in laboratory experiments atmosphere. We analyze smog chamber data to demonstrate that unspeciated organics are a major class precursors. develop source-specific parameterizations for these using...

10.1073/pnas.1323740111 article EN Proceedings of the National Academy of Sciences 2014-07-07

The Community Multiscale Air Quality (CMAQ) model version 5.3 (CMAQ53), released to the public in August 2019 and followed by 5.3.1 (CMAQ531) December 2019, contains numerous science updates, enhanced functionality, improved computation efficiency relative previous of model, 5.2.1 (CMAQ521). Major advances new include a aerosol module (AERO7) with significant updates secondary organic (SOA) chemistry, updated chlorine detailed bromine iodine simple halogen addition dimethyl sulfide (DMS)...

10.5194/gmd-14-2867-2021 article EN cc-by Geoscientific model development 2021-05-20

The implicit assumption that biogenic secondary organic aerosol (SOA) is natural and can not be controlled hinders effective air quality management. Anthropogenic pollution facilitates transformation of naturally emitted volatile compounds (VOCs) to the particle phase, enhancing ambient concentrations (SOA). It therefore conceivable some portion SOA removed by controlling emissions anthropogenic pollutants. Direct measurement controllable fraction possible, but estimated through...

10.1021/es903506b article EN Environmental Science & Technology 2010-04-13

This paper presents the first National Emissions Inventory (NEI) of fine particulate matter (PM2.5) that includes full suite PM2.5 trace elements (atomic number >10) measured at ambient monitoring sites across U.S. emissions in NEI were organized and aggregated into a set 84 source categories for which chemical speciation profiles are available (e.g., Unpaved Road Dust, Agricultural Soil, Wildfires). Emission estimates ten metals classified as Hazardous Air Pollutants (HAP) refined using...

10.1021/es802930x article EN Environmental Science & Technology 2009-07-06

Abstract. The Community Multiscale Air Quality (CMAQ) model is a state-of-the-science air quality that simulates the emission, transformation, transport, and fate of many different pollutant species comprise particulate matter (PM), including dust (or soil). CMAQ version 5.0 (CMAQv5.0) has several enhancements over previous for estimating emission transport dust, ability to track specific elemental constituents have model-derived concentrations those elements participate in chemistry. latest...

10.5194/gmd-6-883-2013 article EN cc-by Geoscientific model development 2013-07-04

Abstract. Air quality models such as the EPA Community Multiscale Quality (CMAQ) require meteorological data part of input to drive chemistry and transport simulation. The Meteorology-Chemistry Interface Processor (MCIP) is used convert into CMAQ-ready input. Key shortcoming one-way coupling include: excessive temporal interpolation coarsely saved lack feedback atmospheric pollutant loading on simulated dynamics. We have developed a two-way coupled system address these issues. A single...

10.5194/gmd-5-299-2012 article EN cc-by Geoscientific model development 2012-03-12

Abstract. Trends in air quality across the Northern Hemisphere over a 21-year period (1990–2010) were simulated using Community Multiscale Air Quality (CMAQ) multiscale chemical transport model driven by meteorology from Weather Research and Forecasting (WRF) simulations internally consistent historical emission inventories obtained EDGAR. Thorough comparison with several ground observation networks mostly Europe North America was conducted to evaluate performance as well ability of CMAQ...

10.5194/acp-15-2723-2015 article EN cc-by Atmospheric chemistry and physics 2015-03-10

Identifying communities vulnerable to adverse health effects from exposure wildfire smoke may help prepare responses, increase the resilience and improve public outcomes during days. We developed a Community Health-Vulnerability Index (CHVI) based on factors known risks of air pollution exposures. These included county prevalence rates for asthma in children adults, chronic obstructive pulmonary disease, hypertension, diabetes, obesity, percent population 65 years age older, indicators...

10.1021/acs.est.6b06200 article EN Environmental Science & Technology 2017-05-11

This study, performed under the umbrella of Task Force on Hemispheric Transport Air Pollution (TF-HTAP), responds to global and regional atmospheric modelling community's need a mosaic emission inventory air pollutants that conforms specific requirements: coverage, long time series, spatially distributed emissions with high resolution, sectoral resolution. The approach integrating official inventories based locally reported data, globally consistent methodology, allows modellers perform...

10.5194/essd-15-2667-2023 article EN cc-by Earth system science data 2023-06-29

The United States Environmental Protection Agency (US EPA) has developed a set of annual North American emissions data for multiple air pollutants across 18 broad source categories 2002 through 2017. sixteen new inventories were using consistent input and methods all years. When method or tool was not available category, estimated by scaling from the EPA's 2017 National Emissions Inventory with factors based on activity and/or control information. datasets are designed to support regional...

10.1016/j.dib.2023.109022 article EN cc-by Data in Brief 2023-03-02

Abstract. Chemical mechanisms describe the atmospheric transformations of organic and inorganic species connect air emissions to secondary such as ozone, fine particles, hazardous pollutants (HAPs) like formaldehyde. Recent advances in our understanding several chemical systems shifts drivers chemistry warrant updates used transport models Community Multiscale Air Quality (CMAQ) modeling system. This work builds on Regional Atmospheric Chemistry Mechanism version 2 (RACM2) develops...

10.5194/acp-23-5043-2023 article EN cc-by Atmospheric chemistry and physics 2023-05-04

Abstract. Lagrangian tracer simulations are deployed to investigate processes influencing vertical and horizontal dispersion of anthropogenic pollution in Fairbanks, Alaska, during the Alaskan Layered Pollution Chemical Analysis (ALPACA) 2022 field campaign. Simulated concentrations carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), including surface elevated sources, highest at under very cold stable conditions. enhancements above (50–300 m) mainly attributed power plant...

10.5194/acp-25-1063-2025 article EN cc-by Atmospheric chemistry and physics 2025-01-28

SPECIATE is the U.S. Environmental Protection Agency’s (EPA) repository of volatile organic compounds (VOCs) and particulate matter (PM) speciation profiles air pollution sources. These source can be used to (1) provide input chemical mass balance (CMB) receptor models; (2) verify derived from ambient measurements by multivariate models (e.g., factor analysis positive matrix factorization); (3) interpret measurement data; (4) create speciated emission inventories for regional haze, climate,...

10.5094/apr.2010.026 article EN cc-by-nc-nd Atmospheric Pollution Research 2010-09-28

Abstract. An accurate description of emissions is crucial for model simulations to reproduce and interpret observed phenomena over extended time periods. In this study, we used an approach based on activity data develop a consistent series spatially resolved in the United States from 1990 2010. The state-level anthropogenic SO2, NOx, CO, NMVOC (non-methane volatile organic compounds), NH3, PM10 PM2.5 total 49 sectors were estimated several long-term databases containing information about...

10.5194/acp-13-7531-2013 article EN cc-by Atmospheric chemistry and physics 2013-08-06

Abstract NOAA and the U.S. Environmental Protection Agency (EPA) have developed a national air quality forecasting (AQF) system that is based on numerical models for meteorology, emissions, chemistry. The AQF generates gridded model forecasts of ground-level ozone (O3) can help forecasters to predict alert public onset, severity, duration poor conditions. Although efforts existed in metropolitan centers many years, this provides guidance product first-ever (predominantly rural) areas United...

10.1175/waf855.1 article EN Weather and Forecasting 2005-06-01

Abstract. The Community Multiscale Air Quality (CMAQ) modeling system is extended to simulate ozone, particulate matter, and related precursor distributions throughout the Northern Hemisphere. Modeled processes were examined enhanced suitably represent space timescales for such applications. Hemispheric-scale simulations with CMAQ Weather Research Forecasting (WRF) model are performed multiple years. Model capabilities a range of applications including episodic long-range pollutant...

10.5194/acp-17-12449-2017 article EN cc-by Atmospheric chemistry and physics 2017-10-19
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