Air quality in the Canary Islands: A geographical, climatic, and health-based approach

IF 3.4 Q2 ENVIRONMENTAL SCIENCES
Atmospheric Environment: X Pub Date : 2026-01-01 Epub Date: 2026-02-12 DOI:10.1016/j.aeaoa.2026.100423
Jordan Correa, Pedro Dorta Antequera
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引用次数: 0

Abstract

This study analyses air quality in the Canary Islands between 2009 and 2024, being the first to simultaneously examine five pollutants: PM10, PM2.5, SO2, NO2, and O3. The research focus is justified by the archipelago's proximity to the Sahara Desert, its high vehicle density, and the recent decommissioning of major industrial sources, including an oil refinery and a thermal power plant in Tenerife. Hourly data from 76 stations of the Canary Islands Air Quality Control and Monitoring Network were combined with daily meteorological observations from 22 stations and ECMWF satellite reanalysis, including temperature, humidity, wind, and the altitude of the characteristic subsidence thermal inversion. Correlations, multivariate models, and an XGBoost machine learning model were applied to evaluate the influence of meteorological conditions on pollutant concentrations. Results show a marked increase in PM10 and PM2.5 during Saharan dust intrusions, particularly in winter, when dust is transported at low altitudes, significantly deteriorating air quality. In contrast, SO2 and NO2 concentrations have decreased substantially since 2009 (−51% and −27%, respectively), reflecting reduced industrial emissions and moderate improvements in urban mobility, although peak traffic episodes still cause localized pollution in Santa Cruz de Tenerife and Las Palmas de Gran Canaria. O3 levels remain low and are primarily modulated by meteorological factors, including the altitude of the subsidence inversion and the dispersive effect of trade winds. The subsidence thermal inversion is confirmed as the main predictor of particle and primary pollutant accumulation, while periods of high temperatures and low humidity amplify simultaneous exposure to multiple pollutants, posing elevated public health risks.
加那利群岛的空气质量:基于地理、气候和健康的方法
这项研究分析了2009年至2024年加那利群岛的空气质量,首次同时检测了五种污染物:PM10、PM2.5、SO2、NO2和O3。该群岛靠近撒哈拉沙漠,车辆密度高,最近主要工业资源退役,包括特内里费岛的炼油厂和火力发电厂,这些都证明了研究重点的正确性。利用加那利群岛空气质量控制和监测网76个台站逐时数据、22个台站逐日气象观测资料和ECMWF卫星再分析,包括温度、湿度、风和特征沉降热反演高度。应用相关性、多变量模型和XGBoost机器学习模型来评估气象条件对污染物浓度的影响。结果表明,在撒哈拉沙尘入侵期间,PM10和PM2.5显著增加,特别是在冬季,当沙尘在低海拔运输时,空气质量显著恶化。相比之下,自2009年以来,SO2和NO2浓度大幅下降(分别为- 51%和- 27%),反映了工业排放的减少和城市机动性的适度改善,尽管高峰交通事件仍然导致圣克鲁斯德特内里费岛和拉斯帕尔马斯德大加那利岛的局部污染。O3水平保持在较低水平,主要受沉降逆温高度和信风扩散效应等气象因素的调节。沉降热反演是颗粒物和主要污染物积累的主要预测因子,而高温低湿期同时放大了多种污染物的暴露,增加了公共健康风险。
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
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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