Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China
The previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants i...
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doaj-d8e6bd247eb04a678b82791d056f00942021-02-02T08:55:41ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011180402710.1051/e3sconf/201911804027e3sconf_icaeer18_04027Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, ChinaTong Hongjin0Liu Sha1Liao Ruixue2Wei Xiaomei3Che Kangli4Li Fenggang5Liu Wei6Sichuan Academy of Environmental ScienceChengdu University of Information TechnologySichuan Academy of Environmental ScienceChengdu University of Information TechnologyChengdu University of Information TechnologyChengdu University of Information TechnologyChengdu University of Information TechnologyThe previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants in five cities of Chengdu economic region. In 2015, the monthly change trends of PM2.5, PM10, CO, NO2 and NO of air pollutants in Chengdu economic region were basically the same. The maximum monthly average concentration was in January or December, and the minimum was in May to September. The temporal variation of SO2 was characterized by little fluctuation of monthly concentration. The temporal variation characteristics of O3 were opposite to other pollutants. The spatial distribution of PM10 and PM2.5 was characterized by the largest concentration in Chengdu and the southwest of Meishan, in which they were mainly concentrated in the central area of Chengdu in winter. The average concentration of CO in Chengdu was the largest, followed by Deyang and Mianyang, and Meishan and Ziyang was the smallest. The concentrations of NO2 and NO in Chengdu were the largest, while those in Ziyang were the smallest. The spatial distribution characteristics of O3 were different from other pollutants. The areas with the largest concentration of O3 were Ziyang and a small part of west in Chengdu. The spatial distribution of SO2 was characterized by the largest concentration of SO2 in Ziyang, the lowest concentration in Mianyang and Deyang.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_04027.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tong Hongjin Liu Sha Liao Ruixue Wei Xiaomei Che Kangli Li Fenggang Liu Wei |
spellingShingle |
Tong Hongjin Liu Sha Liao Ruixue Wei Xiaomei Che Kangli Li Fenggang Liu Wei Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China E3S Web of Conferences |
author_facet |
Tong Hongjin Liu Sha Liao Ruixue Wei Xiaomei Che Kangli Li Fenggang Liu Wei |
author_sort |
Tong Hongjin |
title |
Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China |
title_short |
Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China |
title_full |
Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China |
title_fullStr |
Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China |
title_full_unstemmed |
Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China |
title_sort |
temporal-spatial distribution characteristics of air pollutants in chengdu economic region, china |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
The previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants in five cities of Chengdu economic region. In 2015, the monthly change trends of PM2.5, PM10, CO, NO2 and NO of air pollutants in Chengdu economic region were basically the same. The maximum monthly average concentration was in January or December, and the minimum was in May to September. The temporal variation of SO2 was characterized by little fluctuation of monthly concentration. The temporal variation characteristics of O3 were opposite to other pollutants. The spatial distribution of PM10 and PM2.5 was characterized by the largest concentration in Chengdu and the southwest of Meishan, in which they were mainly concentrated in the central area of Chengdu in winter. The average concentration of CO in Chengdu was the largest, followed by Deyang and Mianyang, and Meishan and Ziyang was the smallest. The concentrations of NO2 and NO in Chengdu were the largest, while those in Ziyang were the smallest. The spatial distribution characteristics of O3 were different from other pollutants. The areas with the largest concentration of O3 were Ziyang and a small part of west in Chengdu. The spatial distribution of SO2 was characterized by the largest concentration of SO2 in Ziyang, the lowest concentration in Mianyang and Deyang. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/44/e3sconf_icaeer18_04027.pdf |
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