{"title":"法国赛尔吉-蓬图瓦兹城区 PM10、PM2.5 和 NO2 的分布情况","authors":"Souad Lagmiri, Salem Dahech","doi":"10.1002/met.2223","DOIUrl":null,"url":null,"abstract":"<p>This study employed a network comprising 16 fixed “Ecosmart” sensors deployed in the Cergy-Pontoise conurbation. Continuous measurements of PM<sub>10</sub>, PM<sub>2.5</sub>, and NO<sub>2</sub>, 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 PM<sub>10</sub> and PM<sub>2.5</sub>. Conversely, NO<sub>2</sub> 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 NO<sub>2</sub> concentrations were observed during stable weather conditions, whereas minimum concentrations occurred during unstable weather.</p>","PeriodicalId":49825,"journal":{"name":"Meteorological Applications","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/met.2223","citationCount":"0","resultStr":"{\"title\":\"Distribution of PM10, PM2.5, and NO2 in the Cergy-Pontoise urban area (France)\",\"authors\":\"Souad Lagmiri, Salem Dahech\",\"doi\":\"10.1002/met.2223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study employed a network comprising 16 fixed “Ecosmart” sensors deployed in the Cergy-Pontoise conurbation. Continuous measurements of PM<sub>10</sub>, PM<sub>2.5</sub>, and NO<sub>2</sub>, 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 PM<sub>10</sub> and PM<sub>2.5</sub>. Conversely, NO<sub>2</sub> 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 NO<sub>2</sub> concentrations were observed during stable weather conditions, whereas minimum concentrations occurred during unstable weather.</p>\",\"PeriodicalId\":49825,\"journal\":{\"name\":\"Meteorological Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/met.2223\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Meteorological Applications\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/met.2223\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Meteorological Applications","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/met.2223","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
Distribution of PM10, PM2.5, and NO2 in the Cergy-Pontoise urban area (France)
This study employed a network comprising 16 fixed “Ecosmart” sensors deployed in the Cergy-Pontoise conurbation. Continuous measurements of PM10, PM2.5, 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 PM2.5. 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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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.
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