Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska, during ALPACA-2022.

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Atmospheric Chemistry and Physics Pub Date : 2025-01-01 Epub Date: 2025-01-28 DOI:10.5194/acp-25-1063-2025
Natalie Brett, Kathy S Law, Steve R Arnold, Javier G Fochesatto, Jean-Christophe Raut, Tatsuo Onishi, Robert Gilliam, Kathleen Fahey, Deanna Huff, George Pouliot, Brice Barret, Elsa Dieudonné, Roman Pohorsky, Julia Schmale, Andrea Baccarini, Slimane Bekki, Gianluca Pappaccogli, Federico Scoto, Stefano Decesari, Antonio Donateo, Meeta Cesler-Maloney, William Simpson, Patrice Medina, Barbara D'Anna, Brice Temime-Roussel, Joel Savarino, Sarah Albertin, Jingqiu Mao, Becky Alexander, Allison Moon, Peter F DeCarlo, Vanessa Selimovic, Robert Yokelson, Ellis S Robinson
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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 and Chemical Analysis (ALPACA) 2022 field campaign. Simulated concentrations of carbon monoxide (CO), sulfur dioxide ( S O 2 ), and nitrogen oxides ( N O x ), including surface and elevated sources, are the highest at the surface under very cold stable conditions. Pollution enhancements above the surface (50-300 m) are mainly attributed to elevated power plant emissions. Both surface and elevated sources contribute to Fairbanks' regional pollution that is transported downwind, primarily to the south-west, and may contribute to wintertime Arctic haze. Inclusion of a novel power plant plume rise treatment that considers the presence of surface and elevated temperature inversion layers leads to improved agreement with observed CO and N O x plumes, with discrepancies attributed to, for example, displacement of plumes by modelled winds. At the surface, model results show that observed CO variability is largely driven by meteorology and, to a lesser extent, by emissions, although simulated tracers are sensitive to modelled vertical dispersion. Modelled underestimation of surface N O x during very cold polluted conditions is considerably improved following the inclusion of substantial increases in diesel vehicle N O x emissions at cold temperatures (e.g. a factor of 6 at -30°C). In contrast, overestimation of surface S O 2 is attributed mainly to model deficiencies in vertical dispersion of elevated (5-18 m) space heating emissions. This study highlights the need for improvements to local wintertime Arctic anthropogenic surface and elevated emissions and improved simulation of Arctic stable boundary layers.

ALPACA-2022期间影响阿拉斯加费尔班克斯当地北极冬季人为污染模拟的过程。
在阿拉斯加分层污染和化学分析(ALPACA) 2022现场活动期间,利用拉格朗日示踪剂模拟研究了影响阿拉斯加费尔班克斯地区人为污染垂直和水平扩散的过程。一氧化碳(CO)、二氧化硫(二氧化硫)和氮氧化物(nox)的模拟浓度,包括地表和高空源,在非常冷的稳定条件下在地表是最高的。地表以上(50-300米)的污染加剧主要是由于发电厂排放的增加。地面污染源和高空污染源都是费尔班克斯地区污染的来源,这些污染主要是顺风输送到西南方向,并可能导致冬季北极的雾霾。考虑到地表逆温层和高温逆温层的存在,包含了一种新的电厂羽流上升处理方法,从而改善了与观测到的CO和nox羽流的一致性,其中的差异归因于,例如,由模拟风引起的羽流位移。在地表,模式结果表明观测到的CO变率主要由气象驱动,在较小程度上由排放驱动,尽管模拟示踪剂对模拟的垂直弥散很敏感。在极冷污染条件下,模拟对地表氮氧化物的低估得到了显著改善,因为在低温条件下柴油车辆氮氧化物排放量大幅增加(例如在-30°C时增加了6倍)。相比之下,地表二氧化硫的高估主要归因于模式在高架(5-18 m)空间加热排放垂直分散方面的缺陷。该研究强调了改善北极冬季局部人为地表和增加排放以及改进北极稳定边界层模拟的必要性。
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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来源期刊
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics 地学-气象与大气科学
CiteScore
10.70
自引率
20.60%
发文量
702
审稿时长
6 months
期刊介绍: Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere. The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.
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