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合肥中心街道峡谷颗粒物粒径分布及组分特征分析OA

Analysis of Particle Size Distributions and Compositional Characteristics in a Central Street Canyon of Hefei

中文摘要英文摘要

城市中心街道峡谷纳米-亚微米颗粒物的高分辨率"粒径分布-化学组分-来源"信息,是制定机动车与餐饮源协同减排策略、实现空气质量精细化管理的前提,但目前相关研究较为匮乏.本研究以合肥市长江西路三里庵路段为典型城市街道峡谷,利用扫描电迁移粒径谱仪(SMPS)与气溶胶化学组分质谱仪(ACSM),开展了连续 16天的高时间分辨率观测,系统解析了该环境下颗粒物的粒径分布、化学特征及来源机制.结果表明:(1)颗粒物数浓度呈显著"三峰型"日变化特征,峰值分别出现在早高峰(07:00-09:00)、午间餐饮时段(11:00-13:00)和晚高峰(18:00-21:00),凸显了机动车尾气与餐饮油烟的叠加贡献;(2)非难熔亚微米气溶胶(NR-PM1)以有机物(Org)为主(占比 55%~75%),硝酸盐次之(15%~25%),其浓度呈现"早晚高、午后低"的变化规律,主要受光化学氧化和边界层演变的共同驱动;(3)正定矩阵因子分解(PMF)源解析识别出 5类数浓度来源(燃烧源、新粒子生成、交通排放、区域传输和混合老化)和 3类化学组分来源(二次硝酸盐、二次有机气溶胶(SOA)、机动车一次有机气溶胶(POA));(4)气象污染耦合效应显著:低温低湿(温度<10℃,相对湿度(RH)<40%)及清洁背景气流有利于 7~20 nm粒径范围新粒子生成事件(NPF)的发生;高温高湿(温度>30℃,RH>70%)促进颗粒吸湿增长与二次组分积聚;低风速(<1.5 m/s)叠加西南风则导致峡谷内污染累积,并使粒径谱向积聚模态偏移.本研究揭示了城市街道峡谷内纳米-亚微米颗粒物的"排放-成核-老化"全过程,为城市空气质量精细化管理、机动车尾气与餐饮源协同控制提供了定量科学依据.

With the rapid increase in motor vehicle numbers,nano-to sub-micron particle pollution in urban street canyons has become an important air-quality concern because of its high spatial heterogeneity and proximity to emission sources.In China,however,high-resolution investigations that simultaneously integrate particle number size distributions,chemical composition,and the source-related formation processes within street-canyon environments remain limited.To address this gap,a 16-day high-time-resolution field campaign was conducted at the Sanli'an section of Changjiang West Road in Hefei,a typical urban street canyon influenced by traffic and commercial activities.Particle number size distributions were measured using a Scanning Mobility Particle Sizer(SMPS),while the non-refractory submicron aerosol chemical composition(NR-PM1)was characterized using an Aerosol Chemical Speciation Monitor(ACSM).These measurements were combined with meteorological observations and source apportionment analysis to investigate the emission characteristics,atmospheric processing,and controlling mechanisms of nano-to sub-micron particles in this microenvironment.The results show a pronounced tri-modal diurnal pattern in particle number concentrations.Three distinct peaks were observed during the morning traffic rush(07:00-09:00),lunchtime cooking activities(11:00-13:00),and the evening traffic rush(18:00-21:00),indicating the combined influence of vehicular exhaust and cooking-related emissions.Number concentrations were dominated by particles in the nucleation and Aitken modes during traffic and cooking periods,while accumulation-mode particles increased under stagnant meteorological conditions.Organic aerosols were the dominant component of NR-PM1,accounting for 55%-75%of the total mass concentration,followed by nitrate(15%-25%).Both organic aerosol and nitrate exhibited higher concentrations during the morning and evening,and lower levels around noon,reflecting the combined effects of emission intensity,photochemical oxidation,and boundary-layer evolution.A positive matrix factorization(PMF)analysis resolved five contributing factors for particle number concentrations:combustion-related emissions,new particle formation,traffic emissions,regional transport,and aged mixed aerosols.For chemical species,three major factors were identified:secondary nitrate,secondary organic aerosol(SOA),and primary organic aerosol(POA).Meteorological conditions played a critical role in regulating particle formation and evolution.Low temperature(<10 ℃)and low relative humidity(<40%)under relatively clean background conditions favored new particle formation in the 7-20 nm size range.In contrast,high temperature(>30 ℃)and high relative humidity(>70%)promoted particle growth and secondary aerosol accumulation.Additionally,low wind speeds(<1.5 m/s),particularly under southwesterly wind conditions,enhanced pollutant accumulation within the street canyon and shifted the particle size distributions toward the accumulation mode.Overall,the results systematically elucidate the emission characteristics,nucleation processes,and aging behavior of nano-to sub-micron particles in an urban street-canyon environment.The findings provide quantitative evidence for refined urban air-quality management and the coordinated control of vehicular exhaust and cooking-related emissions.

雷小琦;周纪彤;林骏;王奇;王秀娟;虞发军;王焕钦;桂华侨

吉首大学 生命科学学院,湖南 吉首 416000||中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031||安徽农业大学 信息与人工智能学院,安徽 合肥 230036中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031||安徽建筑大学电子与信息工程学院,安徽 合肥 230000合肥工业大学 微电子学院,安徽 合肥 230009中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031||合肥综合性科学中心环境研究院,安徽 合肥 230088中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031||合肥综合性科学中心环境研究院,安徽 合肥 230088中国科学院合肥物质科学研究院 安徽光学精密机械研究所,安徽 合肥 230031||合肥综合性科学中心环境研究院,安徽 合肥 230088

资源环境

大气颗粒物道路环境粒径分布化学组成源解析气象影响

Atmospheric particulate matterRoad environmentParticle size distributionsChemical compositionSource apportionmentMeteorological influence

《能源环境保护》 2026 (3)

59-72,14

安徽省生态环境科技资助项目(2025hb004)京津冀环境综合治理国家科技重大专项(2025ZD1201202)新发突发与重大传染病防控国家科技重大专项(2025ZD01902301)国家重点研发计划资助项目(2023YFC3705400)国家自然科学基金面上资助项目(42375124)

10.20078/j.eep.20260204

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