Impact of pandemic measures on air quality and meteorological parameters during the COVID-19 spread in the Euphrates Basin, Türkiye

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Hande Özvan, Alfred Stein, Pınar Aslantaş, Frank Osei
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引用次数: 0

Abstract

This study investigates the impact of COVID-19 pandemic measures on air quality and their relationship with meteorological parameters in the Euphrates Basin, Türkiye. It provides a basin-specific analysis of air quality trends during the pandemic, exploring the interplay between meteorological variables and air quality indicators. The analysis examines the COVID-19 rates across 15 provinces about air quality indicators PM10 and SO2 and includes weekly average temperature (Tw) and weekly total precipitation (Pw). Three periods were defined: before the pandemic (Period 1), during the pandemic (Period 2), and after the pandemic (Period 3), each spanning 77 weeks. The spatial–temporal changes in PM10 and SO2 concerning Pw and Tw were analyzed during Periods 1 and 3, while in Period 2, they were related to the COVID-19 rates. The results of this study show that the COVID-19 outbreak was more intense in large cities, while the opposite was true in small cities. Using the Multivariate Auto-Regressive State-Space (MARSS) model, we found that PM10 and SO2 significantly influenced the COVID-19 rate during the second and third waves of the pandemic, most likely due to the decreased social and urban activities during the quarantine period. Moreover, the study identified noteworthy, though statistically non-significant, associations between population density and COVID-19 transmission patterns. These preliminary findings warrant further validation through future, more granular investigations.

2019冠状病毒病在幼发拉底河流域传播期间,大流行措施对空气质量和气象参数的影响。
本研究调查了2019冠状病毒病大流行措施对幼发拉底河流域空气质量的影响及其与气象参数的关系。它对大流行期间各流域的空气质量趋势进行了具体分析,探讨了气象变量与空气质量指标之间的相互作用。该分析考察了15个省份的空气质量指标PM10和SO2的COVID-19发病率,并包括周平均气温(Tw)和周总降水量(Pw)。定义了三个时期:大流行之前(第1期)、大流行期间(第2期)和大流行之后(第3期),每个时期为77周。PM10和SO2与Pw和Tw相关的时空变化在第1和第3时段进行了分析,在第2时段PM10和SO2与COVID-19发病率相关。研究结果表明,大城市的新冠肺炎疫情更为严重,而小城市则相反。利用多变量自回归状态空间(MARSS)模型,我们发现PM10和SO2在第二波和第三波大流行期间显著影响了COVID-19发病率,很可能是由于隔离期间社会和城市活动减少。此外,该研究还发现了值得注意的(尽管在统计上不显著)人口密度与COVID-19传播模式之间的关联。这些初步发现需要通过未来更细致的调查来进一步验证。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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