Distribution of PM10, PM2.5, and NO2 in the Cergy-Pontoise urban area (France)

IF 2.3 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Meteorological Applications Pub Date : 2024-08-07 DOI:10.1002/met.2223

Souad Lagmiri, Salem Dahech

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Abstract

This study employed a network comprising 16 fixed “Ecosmart” sensors deployed in the Cergy-Pontoise conurbation. Continuous measurements of PM₁₀, PM_2.5, and NO₂, significant pollutants in the Paris region, were conducted from April 8 to June 6, 2022. The collected data were represented as statistically composite spatial matrices due to the heterogeneous urban landscape and the overlapping of multiple pollution sources. Temporal variations on a daily basis were influenced by both traffic and meteorological conditions. Daytime, characterized by denser traffic compared to nighttime, exhibited higher concentrations of PM₁₀ and PM_2.5. Conversely, NO₂ concentration levels displayed two peaks associated with traffic volume, and relatively elevated nocturnal values compared with midday due to atmospheric vertical stability during the nighttime phase. The analysis of weather-type impacts revealed that during unstable weather conditions, elevated particle concentrations stemmed from dust resuspension from the ground and long-range transport. Maximum NO₂ concentrations were observed during stable weather conditions, whereas minimum concentrations occurred during unstable weather.

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法国赛尔吉-蓬图瓦兹城区 PM10、PM2.5 和 NO2 的分布情况

这项研究采用了一个由 16 个固定的 "生态智能 "传感器组成的网络，这些传感器部署在赛尔吉-蓬图瓦兹市郊。从 2022 年 4 月 8 日至 6 月 6 日，对巴黎地区的主要污染物 PM10、PM2.5 和 NO2 进行了连续测量。由于城市景观的异质性和多种污染源的重叠，收集到的数据以统计复合空间矩阵的形式表示。每天的时间变化受到交通和气象条件的影响。与夜间相比，白天的交通更加密集，因此 PM10 和 PM2.5 的浓度更高。相反，二氧化氮浓度水平显示出与交通流量相关的两个峰值，并且由于夜间阶段大气垂直稳定性，夜间值相对高于正午。对天气类型影响的分析表明，在不稳定的天气条件下，颗粒物浓度的升高源于尘埃从地面重新悬浮和长程飘移。在稳定天气条件下，二氧化氮浓度最高，而在不稳定天气条件下，二氧化氮浓度最低。

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

Meteorological Applications 地学-气象与大气科学

CiteScore

5.70

自引率

3.70%

发文量

审稿时长

>12 weeks

期刊介绍： The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.