Modeling attainment in Fairbanks, Alaska, for the wintertime PM2.5 24-hour non-attainment area using the CMAQ (community multi-scale air quality) model

被引:0
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作者
Huff, Deanna [1 ]
Carlson, Tom [2 ]
Vennam, Lakshmi Pradeepa [3 ]
Chien, Chao-Jung [3 ]
Fahey, Kathleen [4 ]
Gilliam, Robert [4 ]
Czarnecki, Nick [1 ]
机构
[1] ALASKA DEPT ENVIRONM CONSERVAT, 410 Willoughby Ave, Junea, AK 99811 USA
[2] Trinity Consultants, 12700 Pk Cent Dr 600, Dallas, TX 75251 USA
[3] Ramboll, 7250 Redwood Blvd, Ste 105, Novato, CA 94945 USA
[4] US EPA, US EPA ORD, Off Res & Dev, Durham, NC 27709 USA
关键词
D O I
10.1039/d4fd00158c
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Fairbanks Alaska has some of the highest recorded levels of fine particulate matter (PM2.5) in the United States (U.S.), exceeding health-based standards since 2009. The National Ambient Air Quality Standard (NAAQS) in the U.S. for 24 h PM2.5 is 35 mu g m-3 with a 24 h averaging time and takes the form of the 98th percentile averaged over three years; the three-year average is called a design value. Monitored PM2.5 level design values have been as high as 135 mu g m-3 or almost 4 times higher than the health-based standard. The current monitored PM2.5 value for 2021-2023 is 56 mu g m-3. Fairbanks winters have strong temperature inversions, trapping pollutants near the ground and leading to elevated concentrations of PM2.5 and its precursor gases. The two largest species component contributors to PM2.5 in Fairbanks are organic carbon and sulfate. Control strategies have focused on reducing organic carbon through wood-stove measures and SO2 through fuel sulfur reductions. State Implementation Plans (SIPs) are mandatory plans that demonstrate the most expeditious path to reaching the health-based standard. In previous SIPs, the Alaska Department of Environmental Conservation (ADEC) based attainment demonstrations on an outdated modeling platform, emissions inventory, meteorological data, and episodes. Recent updates include upgrading to the CMAQ (Community Multi-Scale Air Quality) model version 5.3.3+ and updated Weather Research and Forecast (WRF) meteorology resulting from a collaboration with the United States Environmental Protection Agency Office of Research and Development (EPA-ORD) and recent Alaska Layered Pollution and Chemical Analysis (ALPACA) studies. In addition, there have been updates to the emissions inventory (survey, census, parcel and home-heating energy demand model) for space heating and other pre-processing models. The changes have resulted in improved model performance in representing stable boundary layers in meteorology and Model Performance Evaluation (MPE) of secondary sulfate. Modeled secondary sulfate went from underpredicting 88% of the observed sulfate values using the previous modeling platform, to improved sulfate predictions with only a 2.5% Normalized Mean Bias (NMB) and 40% Normalized Mean Error (NME). Using the sulfur tracking method, CMAQ modeling suggests that in Fairbanks, 60% of the sulfate is primary, and 40% is secondary on average for our wintertime modeling period. The modeled primary and secondary fractions of sulfate are corroborated by Moon et al. 2024 (ACS ES&T Air, 2024, 1, 139-149), showing 62% of the ambient measured sulfate particles were primary and 38% were secondary in Fairbanks, during the ALPACA field campaign. The combination of these updates to emissions, meteorology and the modeling platform have allowed ADEC to accurately represent modeling of control strategies that will bring the area into attainment for the 24 h PM2.5 standard in the year 2027. All control measures come at a cost to the community. Whether limiting the use of wood stoves at -0 C or mandating costly controls to the electric utilities/point sources for SO2, the financial hardships are felt by the residents. This modeling informs policy at the state and federal level, to select the control strategies that will result in the fastest path to clean air while avoiding economic harm to the community, which for Fairbanks means focusing on residential wood smoke. In order to focus the costs on wood stoves, a sensitivity model run was conducted with zero SO2 emissions from the point sources/electric utilities and the resulting secondary sulfate contribution to PM2.5 was 0.6 mu g m-3 with a concentration of 64 mu g m-3 during the wintertime modeling period. The total PM2.5 contribution from the electric utilities/point sources is estimated at 2.2 mu g m-3 of PM2.5 from the modeling results. This contribution of point sources is in corroboration with the modeling work of Brett et al. 2024 (Estimating power plant contributions to surface pollution in a wintertime Arctic environment, 2024, in process) on point-source contribution during the ALPACA campaign in Fairbanks.
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