基于Google Earth引擎Sentinel-5时间序列图像的COVID-19大流行期间伊朗CO和NO2污染物趋势

Siavash Shami, Babak Ranjgar, Jinhu Bian, M. Khoshlahjeh Azar, Armin Moghimi, M. Amani, Amin Naboureh
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引用次数: 11

摘要

2020年2月19日,伊朗报告了第一例COVID-19病例,一个月后,诺鲁孜节假期恰逢全球大流行,导致隔离和封锁。许多研究表明,随着这种疾病的蔓延和工业活动的减少,环境污染物急剧减少。在这些污染物中,二氧化氮(NO2)和一氧化碳(CO)广泛由人为和工业活动引起。本研究调查了2019年、2020年和2021年3月11日至4月8日期间伊朗及其四个大都市(即德黑兰、马什哈德、伊斯法罕和大不里士)这些污染物的变化。为此,使用了Sentinel-5P TROPOMI的时间序列和Google Earth Engine (GEE)云平台内的现场数据。结果表明,哨兵- 5p卫星NO2观测结果与地面站实测NO2观测结果基本一致(平均相关系数为0.7)。此外,结果显示,2020年(新冠肺炎大流行元年)的NO2和CO污染物浓度比2019年下降了5%,这表明检疫规则得到了遵守,以及人们对冠状病毒的初步恐惧。相反,2021年(新冠肺炎大流行第二年)的这些污染物比2020年高出5%,这可能是由于车辆流量大,以及政府缺乏严格的政策和立法来禁止城市和城市间的交通。这些发现是指导未来制造业物流、交通规划和管理以及环境可持续性政策和计划的重要标准。此外,利用COVID-19情景和免费卫星数据,现在可以调查有害气体排放如何影响空气质量。这些发现也可能有助于制定未来如何应对病毒传播和减轻其负面社会和经济后果的战略决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends of CO and NO2 Pollutants in Iran during COVID-19 Pandemic Using Timeseries Sentinel-5 Images in Google Earth Engine
The first case of COVID-19 in Iran was reported on 19 February 2020, 1 month before the Nowruz holidays coincided with the global pandemic, leading to quarantine and lockdown. Many studies have shown that environmental pollutants were drastically reduced with the spread of this disease and the decline in industrial activities. Among these pollutants, nitrogen dioxide (NO2) and carbon monoxide (CO) are widely caused by anthropogenic and industrial activities. In this study, the changes in these pollutants in Iran and its four metropolises (i.e., Tehran, Mashhad, Isfahan, and Tabriz) in three periods from 11 March to 8 April 2019, 2020, and 2021 were investigated. To this end, timeseries of the Sentinel-5P TROPOMI and in situ data within the Google Earth Engine (GEE) cloud-based platform were employed. It was observed that the results of the NO2 derived from Sentinel-5P were in agreement with the in situ data acquired from ground-based stations (average correlation coefficient = 0.7). Moreover, the results showed that the concentration of NO2 and CO pollutants in 2020 (the first year of the COVID-19 pandemic) was 5% lower than in 2019, indicating the observance of quarantine rules, as well as people’s initial fear of the coronavirus. Contrarily, these pollutants in 2021 (the second year of the COVID-19 pandemic) were higher than those in 2020 by 5%, which could have been due to high vehicle traffic and a lack of serious policy- and law-making by the government to ban urban and interurban traffic. These findings are essential criteria that might be used to guide future manufacturing logistics, traffic planning and management, and environmental sustainability policies and plans. Furthermore, using the COVID-19 scenario and free satellite-derived data, it is now possible to investigate how harmful gas emissions influence air quality. These findings may also be helpful in making future strategic decisions on how to cope with the virus spread and lessen its negative social and economic consequences.
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