• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

天气类型与空气污染水平之间的关系:西班牙九个 EMEP 站的 19 年研究。

Connection between Weather Types and Air Pollution Levels: A 19-Year Study in Nine EMEP Stations in Spain.

机构信息

Department of Applied Physics, Faculty of Sciences, University of Valladolid, Paseo de Belén, 7, 47011 Valladolid, Spain.

Department of Physics, University of León, 24071 León, Spain.

出版信息

Int J Environ Res Public Health. 2023 Feb 8;20(4):2977. doi: 10.3390/ijerph20042977.

DOI:10.3390/ijerph20042977
PMID:36833673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9964285/
Abstract

This study focuses on the analysis of the distribution, both spatial and temporal, of the PM (particulate matter with a diameter of 10 µm or less) concentrations recorded in nine EMEP (European Monitoring and Evaluation Programme) background stations distributed throughout mainland Spain between 2001 and 2019. A study of hierarchical clusters was used to classify the stations into three main groups with similarities in yearly concentrations: GC (coastal location), GNC (north-central location), and GSE (southeastern location). The highest PM concentrations were registered in summer. Annual evolution showed statistically significant decreasing trends in PM concentration in all the stations covering a range from -0.21 to -0.50 µg m/year for Barcarrota and Víznar, respectively. Through the Lamb classification, the weather types were defined during the study period, and those associated with high levels of pollution were identified. Finally, the values exceeding the limits established by the legislation were analyzed for every station assessed in the study.

摘要

本研究集中分析了 2001 年至 2019 年间分布在西班牙大陆的 9 个欧洲环境监测网络(EMEP)背景站记录的 PM(直径为 10 µm 或以下的颗粒物)浓度的时空分布。使用层次聚类对站点进行分类,将具有相似年浓度的站点分为三个主要组:GC(沿海位置)、GNC(中北部位置)和 GSE(东南部位置)。PM 浓度最高的季节是夏季。年度演变表明,所有站点的 PM 浓度均呈统计学显著下降趋势,范围从巴卡尔罗塔和比兹纳尔的-0.21 至-0.50 µg m/年。通过 Lamb 分类法,在研究期间定义了天气类型,并确定了与高污染水平相关的天气类型。最后,分析了每个站点的 PM10 和 PM2.5 浓度值,以评估其是否超过法规所规定的限值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/a16bdda2997b/ijerph-20-02977-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/57eb2872dde9/ijerph-20-02977-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/eee5f89f281d/ijerph-20-02977-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/b1192fc8fb24/ijerph-20-02977-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/d7e2a3d4e889/ijerph-20-02977-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/3675ca83c514/ijerph-20-02977-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/cf14125a68d6/ijerph-20-02977-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/047e0df1b878/ijerph-20-02977-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/786ffaaac31d/ijerph-20-02977-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/a16bdda2997b/ijerph-20-02977-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/57eb2872dde9/ijerph-20-02977-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/eee5f89f281d/ijerph-20-02977-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/b1192fc8fb24/ijerph-20-02977-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/d7e2a3d4e889/ijerph-20-02977-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/3675ca83c514/ijerph-20-02977-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/cf14125a68d6/ijerph-20-02977-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/047e0df1b878/ijerph-20-02977-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/786ffaaac31d/ijerph-20-02977-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb4a/9964285/a16bdda2997b/ijerph-20-02977-g009.jpg

相似文献

1
Connection between Weather Types and Air Pollution Levels: A 19-Year Study in Nine EMEP Stations in Spain.天气类型与空气污染水平之间的关系:西班牙九个 EMEP 站的 19 年研究。
Int J Environ Res Public Health. 2023 Feb 8;20(4):2977. doi: 10.3390/ijerph20042977.
2
The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.拥堵收费计划对伦敦空气质量的影响。第1部分。排放建模与空气污染测量分析。
Res Rep Health Eff Inst. 2011 Apr(155):5-71.
3
Part 2. Association of daily mortality with ambient air pollution, and effect modification by extremely high temperature in Wuhan, China.第二部分. 中国武汉每日死亡率与环境空气污染的关联以及极高温度的效应修正
Res Rep Health Eff Inst. 2010 Nov(154):91-217.
4
The influence of meteorological conditions and atmospheric circulation types on PM levels in western Turkey.气象条件和大气环流类型对土耳其西部 PM 水平的影响。
Environ Monit Assess. 2019 Jun 26;191(7):466. doi: 10.1007/s10661-019-7609-7.
5
Exploring atmospheric stagnation during a severe particulate matter air pollution episode over complex terrain in Santiago, Chile.探讨智利圣地亚哥复杂地形下严重颗粒物空气污染事件期间的大气停滞现象。
Environ Pollut. 2019 Jan;244:705-714. doi: 10.1016/j.envpol.2018.10.067. Epub 2018 Oct 19.
6
Spatial and temporal characteristics of particulate matter in Beijing, China using the Empirical Mode Decomposition method.中国北京地区颗粒物的时空特征分析——基于经验模态分解方法。
Sci Total Environ. 2013 Aug 1;458-460:70-80. doi: 10.1016/j.scitotenv.2013.04.005. Epub 2013 Apr 30.
7
PM(10) episodes in Greece: Local sources versus long-range transport-observations and model simulations.希腊的PM(10)事件:本地源与远距离传输——观测与模型模拟
J Air Waste Manag Assoc. 2017 Jan;67(1):105-126. doi: 10.1080/10962247.2016.1231146.
8
Evaluating the influence of air pollution on solar radiation observations over the coastal region of Alicante (Southeastern Spain).评估空气污染对阿利坎特沿海地区(西班牙东南部)太阳辐射观测的影响。
J Environ Sci (China). 2023 Apr;126:633-643. doi: 10.1016/j.jes.2022.05.004. Epub 2022 May 18.
9
Impact of weather changes on air quality and related mortality in Spain over a 25 year period [1993-2017].西班牙 25 年来气候变化对空气质量和相关死亡率的影响[1993-2017]。
Environ Int. 2019 Dec;133(Pt B):105272. doi: 10.1016/j.envint.2019.105272. Epub 2019 Oct 29.
10
Particulate matter (PM) prediction based on multiple linear regression: a case study in Chiang Rai Province, Thailand.基于多元线性回归的颗粒物(PM)预测:以泰国清莱府为例。
BMC Public Health. 2021 Nov 24;21(1):2149. doi: 10.1186/s12889-021-12217-2.

引用本文的文献

1
Exploring temperature and humidity environment combined with air quality index, black carbon, the short-term effect of combined exposure on respiratory disease mortality in Southwest China.探索温度和湿度环境,结合空气质量指数、黑碳,研究中国西南部地区联合暴露对呼吸道疾病死亡率的短期影响。
PLoS One. 2025 Apr 18;20(4):e0319545. doi: 10.1371/journal.pone.0319545. eCollection 2025.

本文引用的文献

1
Circulation weather types and hospital admissions for cardiovascular disease in Changchun, China.中国长春循环天气类型与心血管疾病住院治疗
Environ Geochem Health. 2022 Aug;44(8):2799-2813. doi: 10.1007/s10653-021-01077-9. Epub 2021 Aug 27.
2
Effects of circulation weather types on influenza hospital admissions in Spain.循环天气类型对西班牙流感住院人数的影响。
Int J Biometeorol. 2021 Aug;65(8):1325-1337. doi: 10.1007/s00484-021-02107-y. Epub 2021 Mar 23.
3
Towards a model for aerosol removal by rain scavenging: The role of physical-chemical characteristics of raindrops.
朝着通过雨水清除气溶胶的模型迈进:雨滴物理化学特性的作用。
Water Res. 2021 Feb 15;190:116758. doi: 10.1016/j.watres.2020.116758. Epub 2020 Dec 17.
4
Characterization of aerosol sources in León (Spain) using Positive Matrix Factorization and weather types.采用正矩阵因子分解法和天气类型对莱昂(西班牙)气溶胶源进行特征描述。
Sci Total Environ. 2021 Feb 1;754:142045. doi: 10.1016/j.scitotenv.2020.142045. Epub 2020 Aug 27.
5
Saharan dust intrusions in the Iberian Peninsula: Predominant synoptic conditions.撒哈 dust 侵入伊比利亚半岛:主要的天气条件。
Sci Total Environ. 2020 May 15;717:137041. doi: 10.1016/j.scitotenv.2020.137041. Epub 2020 Jan 31.
6
Air quality modelling in Catalonia from a combination of solar radiation, surface reflectance and elevation.结合太阳辐射、地表反射率和海拔高度对加泰罗尼亚地区的空气质量进行建模。
Sci Total Environ. 2018 May 15;624:189-200. doi: 10.1016/j.scitotenv.2017.12.139. Epub 2017 Dec 14.
7
Sources of SO, SO, NO, and NO- in the Air of Four Spanish Remote Stations.西班牙四个偏远站点空气中二氧化硫、三氧化硫、一氧化氮和二氧化氮的来源。
J Air Waste Manag Assoc. 1998 Sep;48(9):838-845. doi: 10.1080/10473289.1998.10463729.
8
Increase in dust storm related PM10 concentrations: A time series analysis of 2001-2015.与沙尘暴相关的PM10浓度增加:2001 - 2015年时间序列分析
Environ Pollut. 2016 Jun;213:36-42. doi: 10.1016/j.envpol.2015.10.021. Epub 2016 Feb 11.
9
2001-2012 trends on air quality in Spain.2001-2012 年西班牙空气质量趋势
Sci Total Environ. 2014 Aug 15;490:957-69. doi: 10.1016/j.scitotenv.2014.05.074. Epub 2014 Jun 7.
10
Mobile monitoring of particle number concentration and other traffic-related air pollutants in a near-highway neighborhood over the course of a year.在一年的时间里,对靠近高速公路的社区中的颗粒物数量浓度及其他与交通相关的空气污染物进行移动监测。
Atmos Environ (1994). 2012 Dec;61:253-264. doi: 10.1016/j.atmosenv.2012.06.088.