Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks (Alaska), the Northern Hemisphere, and the Contiguous United States

A portion of Alaska's Fairbanks North Star Borough was designated as nonattainment for the 2006 24 h fine particulate matter 2.5 μm or less in diameter (PM<sub>2.5</sub>) National Ambient Air Quality Standards (NAAQS) in 2009. PM<sub>2.5</sub> NAAQS exceedances in Fairbanks mainly occur during dark and cold winters, when temperature inversions form and trap high emissions at the surface. Sulfate ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> ), often the second-largest contributor to PM<sub>2.5</sub> mass during these wintertime PM episodes, is underpredicted by atmospheric chemical transport models (CTMs). Most CTMs account for primary <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> and secondary <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> formed via gas-phase oxidation of sulfur dioxide ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mtext>SO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:mrow> </mml:math> ) and in-cloud aqueous oxidation of dissolved S(IV). Dissolution and reaction of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mtext>SO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:mrow> </mml:math> in aqueous aerosols are generally not included in CTMs but can be represented as heterogeneous reactive uptake and may help better represent the high <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> concentrations observed during Fairbanks winters. In addition, hydroxymethanesulfonate (HMS), a particulate sulfur species sometimes misidentified as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> , is known to form during Fairbanks winters. Heterogeneous formation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> and HMS in aerosol liquid water (ALW) was implemented in the Community Multiscale Air Quality (CMAQ) modeling system. CMAQ simulations were performed for wintertime PM episodes in Fairbanks (2008) as well as over the Northern Hemisphere and Contiguous United States (CONUS) for 2015-2016. The added heterogeneous sulfur chemistry reduced model mean sulfate bias by ~0.6 μg m<sup>-3</sup> during a cold winter PM episode in Fairbanks, AK. Improvements in model performance are also seen in Beijing during wintertime haze events (reducing model mean sulfate bias by ~2.9 μgS m<sup>-3</sup>). This additional sulfur chemistry also improves modeled summertime <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> bias in the southeastern US, with implications for future modeling of biogenic organosulfates.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-03-18
DOI
https://doi.org/10.5194/acp-25-3287-2025
Citations
5
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
6.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks (Alaska), the Northern Hemisphere, and the Contiguous United States

Deanna Huff, Havala O. T. Pye, George Pouliot, Fengkui Duan et al.
5 citations
Atmospheric chemistry and physics
Atmospheric chemistry and aerosols
6.50
article

Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks (Alaska), the Northern Hemisphere, and the Contiguous United States

Deanna Huff, Havala O. T. Pye, George Pouliot, Fengkui Duan, Robert C. Gilliam, Tao Ma, Nicole L. Briggs, Sara Farrell, Kathleen M. Fahey, William Vizuete, Shuping Zhang, Golam Sarwar
article en
5 citations

Abstract

A portion of Alaska's Fairbanks North Star Borough was designated as nonattainment for the 2006 24 h fine particulate matter 2.5 μm or less in diameter (PM<sub>2.5</sub>) National Ambient Air Quality Standards (NAAQS) in 2009. PM<sub>2.5</sub> NAAQS exceedances in Fairbanks mainly occur during dark and cold winters, when temperature inversions form and trap high emissions at the surface. Sulfate ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> ), often the second-largest contributor to PM<sub>2.5</sub> mass during these wintertime PM episodes, is underpredicted by atmospheric chemical transport models (CTMs). Most CTMs account for primary <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> and secondary <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> formed via gas-phase oxidation of sulfur dioxide ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mtext>SO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:mrow> </mml:math> ) and in-cloud aqueous oxidation of dissolved S(IV). Dissolution and reaction of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msub><mml:mtext>SO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:mrow> </mml:math> in aqueous aerosols are generally not included in CTMs but can be represented as heterogeneous reactive uptake and may help better represent the high <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> concentrations observed during Fairbanks winters. In addition, hydroxymethanesulfonate (HMS), a particulate sulfur species sometimes misidentified as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> , is known to form during Fairbanks winters. Heterogeneous formation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> and HMS in aerosol liquid water (ALW) was implemented in the Community Multiscale Air Quality (CMAQ) modeling system. CMAQ simulations were performed for wintertime PM episodes in Fairbanks (2008) as well as over the Northern Hemisphere and Contiguous United States (CONUS) for 2015-2016. The added heterogeneous sulfur chemistry reduced model mean sulfate bias by ~0.6 μg m<sup>-3</sup> during a cold winter PM episode in Fairbanks, AK. Improvements in model performance are also seen in Beijing during wintertime haze events (reducing model mean sulfate bias by ~2.9 μgS m<sup>-3</sup>). This additional sulfur chemistry also improves modeled summertime <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mtext>SO</mml:mtext> <mml:mn>4</mml:mn> <mml:mrow><mml:mn>2</mml:mn> <mml:mo>-</mml:mo></mml:mrow> </mml:msubsup> </mml:mrow> </mml:math> bias in the southeastern US, with implications for future modeling of biogenic organosulfates.

Atmospheric chemistry and physicsVol. 25(5)
University of North Carolina at Chapel Hill (US), Environmental Protection Agency (US), Research Triangle Park Foundation (US), Guangdong University of Technology (CN), Alaska Department of Environmental Conservation (US), State Key Joint Laboratory of Environment Simulation and Pollution Control (CN), University of Washington Applied Physics Laboratory (US), Tsinghua University (CN)
Openalex Percentile: Top 3%
Atmospheric chemistry and aerosols
6.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.