Cargando…
Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data
Several anthropogenic activities have undergone major changes following the spread of the COVID-19 pandemic, which in turn has had consequences on the environment. The effect on air pollution has been studied in detail in the literature, although some pollutants, such as ammonia (NH(3)), have receiv...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760411/ https://www.ncbi.nlm.nih.gov/pubmed/36567919 http://dx.doi.org/10.1016/j.atmosenv.2021.118534 |
_version_ | 1784852468464615424 |
---|---|
author | Lovarelli, Daniela Fugazza, Davide Costantini, Michele Conti, Cecilia Diolaiuti, Guglielmina Guarino, Marcella |
author_facet | Lovarelli, Daniela Fugazza, Davide Costantini, Michele Conti, Cecilia Diolaiuti, Guglielmina Guarino, Marcella |
author_sort | Lovarelli, Daniela |
collection | PubMed |
description | Several anthropogenic activities have undergone major changes following the spread of the COVID-19 pandemic, which in turn has had consequences on the environment. The effect on air pollution has been studied in detail in the literature, although some pollutants, such as ammonia (NH(3)), have received comparatively less attention to date. Focusing on the case of Lombardy in Northern Italy, this study aimed to evaluate changes in NH(3) atmospheric concentration on a temporal scale (the years from 2013 to 2019 compared to 2020) and on a spatial scale (countryside, city, and mountain areas). For this purpose, ground-based (from public air quality control units scattered throughout the region) and satellite observations (from IASI sensors on board MetOp-A and MetOp-B) were collected and analyzed. For ground-based measurements, a marked spatial variability is observed between the different areas while, as regards the comparison between periods, statistically significant differences were observed only for the countryside areas (+31% in 2020 compared to previous years). The satellite data show similar patterns but do not present statistically significant differences neither between different areas, nor between the two periods. In general, there have been no reduction effects of atmospheric NH(3) as a consequence of COVID-19. This calls into question the role of the agricultural sector, which is known to be the largest responsible for NH(3) emissions. Even if the direct comparison between the two datasets shows little correlation, their contextual consideration allows making more robust considerations regarding air pollutants. |
format | Online Article Text |
id | pubmed-9760411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97604112022-12-19 Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data Lovarelli, Daniela Fugazza, Davide Costantini, Michele Conti, Cecilia Diolaiuti, Guglielmina Guarino, Marcella Atmos Environ (1994) Article Several anthropogenic activities have undergone major changes following the spread of the COVID-19 pandemic, which in turn has had consequences on the environment. The effect on air pollution has been studied in detail in the literature, although some pollutants, such as ammonia (NH(3)), have received comparatively less attention to date. Focusing on the case of Lombardy in Northern Italy, this study aimed to evaluate changes in NH(3) atmospheric concentration on a temporal scale (the years from 2013 to 2019 compared to 2020) and on a spatial scale (countryside, city, and mountain areas). For this purpose, ground-based (from public air quality control units scattered throughout the region) and satellite observations (from IASI sensors on board MetOp-A and MetOp-B) were collected and analyzed. For ground-based measurements, a marked spatial variability is observed between the different areas while, as regards the comparison between periods, statistically significant differences were observed only for the countryside areas (+31% in 2020 compared to previous years). The satellite data show similar patterns but do not present statistically significant differences neither between different areas, nor between the two periods. In general, there have been no reduction effects of atmospheric NH(3) as a consequence of COVID-19. This calls into question the role of the agricultural sector, which is known to be the largest responsible for NH(3) emissions. Even if the direct comparison between the two datasets shows little correlation, their contextual consideration allows making more robust considerations regarding air pollutants. Elsevier Ltd. 2021-08-15 2021-06-06 /pmc/articles/PMC9760411/ /pubmed/36567919 http://dx.doi.org/10.1016/j.atmosenv.2021.118534 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lovarelli, Daniela Fugazza, Davide Costantini, Michele Conti, Cecilia Diolaiuti, Guglielmina Guarino, Marcella Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title | Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title_full | Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title_fullStr | Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title_full_unstemmed | Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title_short | Comparison of ammonia air concentration before and during the spread of COVID-19 in Lombardy (Italy) using ground-based and satellite data |
title_sort | comparison of ammonia air concentration before and during the spread of covid-19 in lombardy (italy) using ground-based and satellite data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760411/ https://www.ncbi.nlm.nih.gov/pubmed/36567919 http://dx.doi.org/10.1016/j.atmosenv.2021.118534 |
work_keys_str_mv | AT lovarellidaniela comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata AT fugazzadavide comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata AT costantinimichele comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata AT conticecilia comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata AT diolaiutiguglielmina comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata AT guarinomarcella comparisonofammoniaairconcentrationbeforeandduringthespreadofcovid19inlombardyitalyusinggroundbasedandsatellitedata |