COVID - 19封锁措施对意大利一条主要高速公路附近二氧化氮和黑碳浓度的影响

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Elena Bertazza, Andrea Bisignano, Marco Falocchi, Lorenzo Giovannini
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引用次数: 0

摘要

2020年上半年,意大利政府实施了几项限制措施,以限制新冠肺炎疫情的传播:3月初,实施了严格的封锁制度,导致交通量大幅减少,从而减少了与交通相关的排放。本研究的目的是评估这些限制对位于阿尔卑斯-阿迪格山谷的意大利A22高速公路附近污染物浓度的影响。特别是,分析的重点是二氧化氮(NO2)和炭黑(BC)的测量浓度。结果显示,在高速公路附近,NO2浓度在封锁期间比前3个月同期下降了约45% 年。不列颠哥伦比亚省的等效分析表明,与生物质燃烧有关的成分(主要是由于家庭供暖)并没有受到限制的特别影响,而与化石燃料有关的不列颠哥伦比亚省成分(直接与交通有关)比前几年暴跌了近60%。由于大气中污染物的浓度既取决于排放量,也取决于气象条件,这可以掩盖排放制度的变化,因此还将随机森林算法应用于测量的浓度,以更好地评估限制对排放的影响。该程序允许获得NO2和BC浓度的正常业务和气象归一化时间序列。随机森林算法得出的结果清楚地证实了封锁期开始时NO2排放量的下降,随后几个月缓慢且部分恢复。他们还证实,在封锁期间,生物质燃烧导致的BC成分的排放量没有受到显著影响,而与化石燃料相关的BC成分排放量急剧下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Effects of COVID-19 lockdown measures on nitrogen dioxide and black carbon concentrations close to a major Italian motorway

Effects of COVID-19 lockdown measures on nitrogen dioxide and black carbon concentrations close to a major Italian motorway

During the first half of 2020, the Italian government imposed several restrictions to limit the spread of the COVID-19 pandemic: at the beginning of March, a heavy lockdown regime was introduced leading to a drastic reduction of traffic and, consequently, traffic-related emissions. The aim of this study is to evaluate the effects of these restrictions on pollutant concentrations close to a stretch of the Italian A22 motorway lying in the Alpine Adige valley. In particular, the analysis focuses on measured concentrations of nitrogen dioxide (NO2) and black carbon (BC). Results show that, close to the motorway, NO2 concentrations dropped by around 45% during the lockdown period with respect to the same time period of the previous 3 years. The equivalent analysis for BC shows that the component related to biomass burning, mostly due to domestic heating, was not particularly affected by the restrictions, while the BC component related to fossil fuels, directly connected to traffic, plummeted by almost 60% with respect to the previous years. Since atmospheric concentrations of pollutants depend both on emissions and meteorological conditions, which can mask the variations in the emission regime, a random forest algorithm is also applied to the measured concentrations, in order to better evaluate the effects of the restrictions on emissions. This procedure allows for obtaining business-as-usual and meteorologically normalized time series of both NO2 and BC concentrations. The results derived from the random forest algorithm clearly confirm the drop in NO2 emissions at the beginning of the lockdown period, followed by a slow and partial recovery in the following months. They also confirm that, during the lockdown, emissions of the BC component due to biomass burning were not significantly affected, while those of the BC component related to fossil fuels underwent an abrupt drop.

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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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