Estimating Power Plant Contributions to Surface Pollution in a Wintertime Arctic Environment.

ACS ES&T Air Pub Date : 2025-04-21 eCollection Date: 2025-05-09 DOI:10.1021/acsestair.5c00030
Natalie Brett, Steve R Arnold, Kathy S Law, Jean-Christophe Raut, Tatsuo Onishi, Brice Barret, Elsa Dieudonné, Meeta Cesler-Maloney, William Simpson, Slimane Bekki, Joel Savarino, Sarah Albertin, Robert Gilliam, Kathleen Fahey, George Pouliot, Deanna Huff, Barbara D'Anna
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Abstract

Arctic winter meteorology and orography in the Fairbanks North Star Borough (FNSB, interior Alaska) promote stably stratified boundary layers, often causing acute pollution episodes that exceed the US-EPA National Ambient Air Quality Standards. Power plant emission contributions to breathing level (0-10 m) pollution are estimated over the FNSB using high-resolution Lagrangian tracer simulations run with temporally varying emissions and power plant plume rise accounting for atmospheric boundary layer stability and validated against comprehensive ALPACA-2022 observations. Average relative power plant contributions of 5-23% and 4-28% are diagnosed for SO2 and NO x , respectively, with lower relative contributions in polluted conditions due to larger surface emissions. Highest population-weighted contributions are found in central and eastern (residential) areas of Fairbanks. Significant temporal variability in power plant contributions is revealed, depending on power plant operations and Arctic boundary layer stability. Vertical transport of power plant tracers to the surface depends on the interplay between the presence of temperature inversion layers and power plant stack heights as well as prevailing large-scale or local winds. Notably, power plant emissions can be transported to the surface even under strongly stable conditions, especially from shorter stacks, whereas down mixing from tall stacks mainly occurs under weakly stable conditions.

估算冬季北极环境中电厂对地表污染的贡献。
费尔班克斯北极星区(FNSB,阿拉斯加内陆)的北极冬季气象和地形促进了稳定的分层边界层,经常造成超过美国环保署国家环境空气质量标准的急性污染事件。利用高分辨率拉格朗日示踪剂模拟估算了FNSB上电厂排放对呼吸水平(0-10米)污染的贡献,模拟运行了随时间变化的排放和考虑大气边界层稳定性的电厂羽流上升,并根据ALPACA-2022综合观测结果进行了验证。电厂对SO2和nox的平均相对贡献分别为5-23%和4-28%,在污染条件下,由于地表排放较大,相对贡献较低。费尔班克斯的中部和东部(住宅)地区的人口加权贡献最高。揭示了发电厂贡献的显著时间变化,这取决于发电厂的运行和北极边界层的稳定性。电厂示踪剂向地表的垂直输送取决于逆温层的存在与电厂堆高以及盛行的大尺度或局地风之间的相互作用。值得注意的是,即使在强稳定条件下,发电厂的排放物也可以被输送到地面,特别是从较短的烟囱输送到地面,而来自高烟囱的向下混合主要发生在弱稳定条件下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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