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揭示 COVID-19 期间城市空气质量动态:Sentinel-5P TROPOMI 热点分析。

Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis.

机构信息

Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India.

Department of Applied Sciences and Humanities, National Institute of Advanced Manufacturing Technology, Ranchi, Jharkhand, 834003, India.

出版信息

Sci Rep. 2024 Sep 16;14(1):21624. doi: 10.1038/s41598-024-72276-4.

Abstract

In India, the spatial coverage of air pollution data is not homogeneous due to the regionally restricted number of monitoring stations. In a such situation, utilising satellite data might greatly influence choices aimed at enhancing the environment. It is essential to estimate significant air contaminants, comprehend their health impacts, and anticipate air quality to safeguard public health from dangerous pollutants. The current study intends to investigate the spatial and temporal heterogeneity of important air pollutants, such as sulphur dioxide, nitrogen dioxide, carbon monoxide, and ozone, utilising Sentinel-5P TROPOMI satellite images. A comprehensive spatiotemporal analysis of air quality was conducted for the entire country with a special focus on five metro cities from 2019 to 2022, encompassing the pre-COVID-19, during-COVID-19, and current scenarios. Seasonal research revealed that air pollutant concentrations are highest in the winter, followed by the summer and monsoon, with the exception of ozone. Ozone had the greatest concentrations throughout the summer season. The analysis has revealed that NO hotspots are predominantly located in megacities, while SO hotspots are associated with industrial clusters. Delhi exhibits high levels of NO pollution, while Kolkata is highly affected by SO pollution compared to other major cities. Notably, there was an 11% increase in SO concentrations in Kolkata and a 20% increase in NO concentrations in Delhi from 2019 to 2022. The COVID-19 lockdown saw significant drops in NO concentrations in 2020; specifically, - 20% in Mumbai, - 18% in Delhi, - 14% in Kolkata, - 12% in Chennai, and - 15% in Hyderabad. This study provides valuable insights into the seasonal, monthly, and yearly behaviour of pollutants and offers a novel approach for hotspot analysis, aiding in the identification of major air pollution sources. The results offer valuable insights for developing effective strategies to tackle air pollution, safeguard public health, and improve the overall environmental quality in India. The study underscores the importance of satellite data analysis and presents a comprehensive assessment of the impact of the shutdown on air quality, laying the groundwork for evidence-based decision-making and long-term pollution mitigation efforts.

摘要

在印度,由于监测站数量在区域上受到限制,空气污染数据的空间覆盖范围并不均匀。在这种情况下,利用卫星数据可能会极大地影响旨在改善环境的选择。估算重要空气污染物、了解其对健康的影响以及预测空气质量对于保护公众健康免受危险污染物的影响至关重要。本研究旨在利用 Sentinel-5P TROPOMI 卫星图像,研究重要空气污染物(如二氧化硫、二氧化氮、一氧化碳和臭氧)的时空异质性。对 2019 年至 2022 年期间全国空气质量进行了全面的时空分析,特别关注五个大都市,包括新冠疫情前、疫情期间和当前的情况。季节性研究表明,污染物浓度在冬季最高,其次是夏季和季风季,但臭氧除外。臭氧在整个夏季的浓度最高。分析表明,NO 热点主要位于特大城市,而 SO 热点与工业集群有关。与其他主要城市相比,德里的 NO 污染水平较高,而加尔各答的 SO 污染水平受影响较大。值得注意的是,2019 年至 2022 年期间,加尔各答的 SO 浓度增加了 11%,德里的 NO 浓度增加了 20%。新冠疫情封锁期间,2020 年 NO 浓度显著下降;具体而言,孟买下降了-20%,德里下降了-18%,加尔各答下降了-14%,钦奈下降了-12%,海得拉巴下降了-15%。本研究深入了解了污染物的季节性、每月和每年的行为,并提供了一种新的热点分析方法,有助于识别主要的空气污染来源。研究结果为制定有效策略应对空气污染、保护公众健康和改善印度整体环境质量提供了有价值的见解。该研究强调了卫星数据分析的重要性,并对关闭对空气质量的影响进行了全面评估,为基于证据的决策和长期污染缓解工作奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b54/11405512/1740a22f5733/41598_2024_72276_Fig1_HTML.jpg

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