The cause-effect relationship between synoptic and local wind patterns and PM10 concentrations in the complex-orography urban area of Naples (Italy)

IF 3.9 Q2 ENVIRONMENTAL SCIENCES
M.A Hernández-Ceballos , M. Rubino , C. Sirignano , E. Chianese , A Riccio
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引用次数: 0

Abstract

This study examines the relationship between the temporal variability of PM10 concentrations and synoptic and local wind patterns in Naples over a four-year period (2018, 2020–2022). PM10 data were collected from three monitoring stations (IT1493, IT1491, and IT1497), representing different atmospheric pollution conditions: suburban traffic, urban traffic, and background, respectively. The mean PM10 concentrations recorded at these stations were 33.3 ± 0.5 µg/m3, 32.1 ± 0.4 µg/m3, and 27.4 ± 0.3 µg/m3, all remaining below the EU annual limit of 40 µg/m3. However, extreme daily peaks during the sampling period reached 203.1 µg/m3 at the suburban site, 128.6 µg/m3 at the urban site, and 129 µg/m3 at the background site, indicating severe pollution episodes. The intradiurnal cycle showed a bimodal pattern in PM10 concentrations at the urban and suburban sites, with peaks occurring in the morning and evening, coinciding with traffic activity. In contrast, the background site showed a flatter profile, suggesting a weaker influence of local sources. The occurrence of high concentrations is mainly registered in winter. A backward trajectory analysis using the HYSPLIT model identified eight dominant synoptic airflow patterns, with nearby, westerly, and northerly flows being the most frequent. Notably, nearby airflows—often associated with sea-land breeze circulations, as it is observed by analyzing surface winds—were responsible for 75 % of the exceedances of the EU daily limit of 50 µg/m3, highlighting their role in pollutant accumulation and restricted dispersion. These findings underscore the critical influence of local wind circulation and large-scale transport mechanisms on air quality in Naples. They emphasize the need for integrated air quality management strategies that address both local emissions and regional transport processes to develop effective mitigation policies for Mediterranean coastal cities.
意大利那不勒斯复杂地形市区天气风型和局地风型与PM10浓度的因果关系
本研究考察了那不勒斯四年(2018年、2020-2022年)PM10浓度的时间变化与天气和当地风型之间的关系。PM10数据采集自三个监测站(IT1493、IT1491和IT1497),分别代表不同的大气污染状况:郊区交通、城市交通和背景。这些监测站记录的PM10平均浓度分别为33.3±0.5µg/m3、32.1±0.4µg/m3和27.4±0.3µg/m3,均低于欧盟40µg/m3的年限值。然而,在采样期间,郊区站点的极端日峰值为203.1µg/m3,城市站点为128.6µg/m3,背景站点为129µg/m3,表明污染严重。室内PM10浓度在城市和郊区呈现双峰模式,峰值出现在早晨和晚上,与交通活动一致。相比之下,背景地点呈现出较平坦的轮廓,表明当地来源的影响较弱。高浓度主要发生在冬季。利用HYSPLIT模式进行的反向轨迹分析确定了8种主要的天气气流模式,其中近风、西风和北风最为频繁。值得注意的是,附近的气流——通常与海陆风环流有关,这是通过分析地面风观察到的——对欧盟每日50微克/立方米的限制负有75%的责任,突出了它们在污染物积累和限制扩散方面的作用。这些发现强调了当地风环流和大尺度输送机制对那不勒斯空气质量的关键影响。他们强调需要制定综合空气质量管理战略,处理当地排放和区域运输过程,为地中海沿海城市制定有效的缓解政策。
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
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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