Effects of the COVID-19 Lockdown on Urban Light Emissions: Ground and Satellite Comparison

Effects of the COVID-19 Lockdown on Urban Light Emissions: Ground and Satellite Comparison
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DOI:
10.3390/rs13020258
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发表时间:
2021-01-01
期刊:
影响因子:
5
通讯作者:
Gaston, Kevin J.
Gaston, Kevin J.
中科院分区:
工程技术2区
文献类型:
--
作者:
Bustamante-Calabria, Maximo;Sanchez de Miguel, Alejandro;Gaston, Kevin J.

文献摘要

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应对 COVID-19 的“封锁”期为研究经济活动对环境污染(例如二氧化氮、气溶胶、噪音、光)的影响提供了独特的机会。对二氧化氮和气溶胶的影响非常明显并且很容易得到证明,但事实证明对光污染的影响很难确定。造成这一困难的主要原因是,地球夜间卫星图像的主要来源是 SNPP-VIIRS/DNB 仪器,该仪器在大多数人类夜间活动已经发生且许多相关照明已关闭后的深夜获取数据。在此,为了分析封锁对城市光排放的影响,我们使用了西班牙格拉纳达在 COVID-19 导致该市人口从 2020 年 3 月 14 日至 5 月 31 日期间受到限制期间的地面和卫星数据。我们发现,由于城市光排放减少以及大气中人为气溶胶含量减少(导致光散射减少),光污染明显减少。 PM10颗粒物的丰度与天空亮度之间存在明显的相关性,大气污染程度越高,城市夜空就越亮。确定了一个经验表达式,将三个不同波段的 PM10 颗粒丰度和天空亮度联系起来。
'Lockdown' periods in response to COVID-19 have provided a unique opportunity to study the impacts of economic activity on environmental pollution (e.g., NO2, aerosols, noise, light). The effects on NO2 and aerosols have been very noticeable and readily demonstrated, but that on light pollution has proven challenging to determine. The main reason for this difficulty is that the primary source of nighttime satellite imagery of the earth is the SNPP-VIIRS/DNB instrument, which acquires data late at night after most human nocturnal activity has already occurred and much associated lighting has been turned off. Here, to analyze the effect of lockdown on urban light emissions, we use ground and satellite data for Granada, Spain, during the COVID-19 induced confinement of the city's population from 14 March until 31 May 2020. We find a clear decrease in light pollution due both to a decrease in light emissions from the city and to a decrease in anthropogenic aerosol content in the atmosphere which resulted in less light being scattered. A clear correlation between the abundance of PM10 particles and sky brightness is observed, such that the more polluted the atmosphere the brighter the urban night sky. An empirical expression is determined that relates PM10 particle abundance and sky brightness at three different wavelength bands.