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Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020
China has achieved good results in SO(2) pollution control, but SO(2) pollution still exists in some areas. Analyzing the spatio-temporal distribution of SO(2) is critical for regional SO(2) pollution prevention and control. Compared with existing air pollution studies that paid more attention to PM...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624775/ https://www.ncbi.nlm.nih.gov/pubmed/34831963 http://dx.doi.org/10.3390/ijerph182212206 |
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author | Zhu, Lining Zhang, Yu Wu, Zheng Zhang, Chengcheng |
author_facet | Zhu, Lining Zhang, Yu Wu, Zheng Zhang, Chengcheng |
author_sort | Zhu, Lining |
collection | PubMed |
description | China has achieved good results in SO(2) pollution control, but SO(2) pollution still exists in some areas. Analyzing the spatio-temporal distribution of SO(2) is critical for regional SO(2) pollution prevention and control. Compared with existing air pollution studies that paid more attention to PM(2).(5), NO(2) and O(3), and focused on the macro scale, this study took the small-scale Weifang city as the research area, analyzed the temporal and spatial changes in SO(2), discussed the migration trajectory of SO(2) pollution and explored the impact of wind on SO(2) pollution. The results show that the average annual concentration of SO(2) in Weifang has exhibited a downward trend in the past 13 years, showing the basic characteristics of “highest in winter, lowest in summer and slightly higher in spring and autumn”, “highest on Sunday, lowest on Thursday and gradually decreasing from Monday to Thursday” and “highest at 9 a.m., lowest at 4 p.m. and gradually increasing from midnight to 9 a.m.”. SO(2) concentration showed obvious spatial heterogeneity: higher in the north and lower in the south. In addition, Shouguang, Changyi and Gaomi were seriously polluted. The SO(2) pollution shifted from south to northeast. The clean wind direction (southeast wind and northeast wind) of Weifang city accounted for about 41%, and the pollution wind direction (northwest wind and west wind) accounted for about 7%. Drawing from the multi-scale analysis, vegetation, precipitation, temperature, transport situation and human activity were the most relevant factors. Limited to data collection, more quantitative research is needed to gain insight into the influence mechanism in the future. |
format | Online Article Text |
id | pubmed-8624775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86247752021-11-27 Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 Zhu, Lining Zhang, Yu Wu, Zheng Zhang, Chengcheng Int J Environ Res Public Health Article China has achieved good results in SO(2) pollution control, but SO(2) pollution still exists in some areas. Analyzing the spatio-temporal distribution of SO(2) is critical for regional SO(2) pollution prevention and control. Compared with existing air pollution studies that paid more attention to PM(2).(5), NO(2) and O(3), and focused on the macro scale, this study took the small-scale Weifang city as the research area, analyzed the temporal and spatial changes in SO(2), discussed the migration trajectory of SO(2) pollution and explored the impact of wind on SO(2) pollution. The results show that the average annual concentration of SO(2) in Weifang has exhibited a downward trend in the past 13 years, showing the basic characteristics of “highest in winter, lowest in summer and slightly higher in spring and autumn”, “highest on Sunday, lowest on Thursday and gradually decreasing from Monday to Thursday” and “highest at 9 a.m., lowest at 4 p.m. and gradually increasing from midnight to 9 a.m.”. SO(2) concentration showed obvious spatial heterogeneity: higher in the north and lower in the south. In addition, Shouguang, Changyi and Gaomi were seriously polluted. The SO(2) pollution shifted from south to northeast. The clean wind direction (southeast wind and northeast wind) of Weifang city accounted for about 41%, and the pollution wind direction (northwest wind and west wind) accounted for about 7%. Drawing from the multi-scale analysis, vegetation, precipitation, temperature, transport situation and human activity were the most relevant factors. Limited to data collection, more quantitative research is needed to gain insight into the influence mechanism in the future. MDPI 2021-11-20 /pmc/articles/PMC8624775/ /pubmed/34831963 http://dx.doi.org/10.3390/ijerph182212206 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Lining Zhang, Yu Wu, Zheng Zhang, Chengcheng Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title | Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title_full | Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title_fullStr | Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title_full_unstemmed | Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title_short | Spatio-Temporal Characteristics of SO(2) across Weifang from 2008 to 2020 |
title_sort | spatio-temporal characteristics of so(2) across weifang from 2008 to 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8624775/ https://www.ncbi.nlm.nih.gov/pubmed/34831963 http://dx.doi.org/10.3390/ijerph182212206 |
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