Characteristics of Dust Events in China from 2015 to 2020
As the main source of dust in Asia, China often suffers from dust events. The temporal and spatial characteristics of dust events change with the variations of geography, climate and human activities. Based on the criteria of selecting dust events proposed recently by the China Environmental Monitor...
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doaj-7c4cd242c9914ee4bf545fa2af8063f42021-08-26T13:31:23ZengMDPI AGAtmosphere2073-44332021-07-011295295210.3390/atmos12080952Characteristics of Dust Events in China from 2015 to 2020Lili Yang0Shuwen Zhang1Zhongwei Huang2Yanping Yang3Lina Wang4Wenyu Han5Xiaoyun Li6Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, ChinaKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, ChinaKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, ChinaKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, ChinaForecast Department, Gansu Province Environmental Monitoring Center, Lanzhou 730020, ChinaForecast Department, Lanzhou Ecological Environment Monitoring Center, Lanzhou 730000, ChinaMarketing Center, Wuxi CAS Photonics Co., Ltd., Wuxi 214135, ChinaAs the main source of dust in Asia, China often suffers from dust events. The temporal and spatial characteristics of dust events change with the variations of geography, climate and human activities. Based on the criteria of selecting dust events proposed recently by the China Environmental Monitoring Station, the hourly concentration of PM<sub>10</sub> and PM<sub>2.5</sub> of 336 cities in China from 2015 to 2020 were used to study the temporal and spatial characteristics of dust events more accurately and objectively. The results showed that all of the dust events in China clearly decreased, but the strong dust events did not decrease. There were 334 cities that had dust events except Shenzhen and Dongguan, 299 cities were seriously polluted due to dust events, 134 cities encountered dust level III and 56 cities encountered dust level IV. The high frequencies of dust events were mainly distributed in Northern China, especially in Northwest China. The dust contribution of PM<sub>10</sub> to the cities in Northwest China was more than 10% and about 5–10% for PM<sub>2.5</sub>. The most likely month for dust was May. The starting time of dust was bimodally distributed, and the most common starting time was 10:00–11:00 BJT, followed by 22:00–23:00 BJT. According to the PSCF (Potential Source Contribution Function) results, the dust potential source contribution of different cities mainly came from the northwest, and was mainly affected by Mongolia in addition to the local dust in China. In addition, Beijing was obviously affected by dust recirculation. This study is of great significance to the improvement of the forecast of dust weather and the warning of heavy pollution caused by dust events.https://www.mdpi.com/2073-4433/12/8/952dust eventsspatiotemporal distributionPSCFparticulate concentration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lili Yang Shuwen Zhang Zhongwei Huang Yanping Yang Lina Wang Wenyu Han Xiaoyun Li |
spellingShingle |
Lili Yang Shuwen Zhang Zhongwei Huang Yanping Yang Lina Wang Wenyu Han Xiaoyun Li Characteristics of Dust Events in China from 2015 to 2020 Atmosphere dust events spatiotemporal distribution PSCF particulate concentration |
author_facet |
Lili Yang Shuwen Zhang Zhongwei Huang Yanping Yang Lina Wang Wenyu Han Xiaoyun Li |
author_sort |
Lili Yang |
title |
Characteristics of Dust Events in China from 2015 to 2020 |
title_short |
Characteristics of Dust Events in China from 2015 to 2020 |
title_full |
Characteristics of Dust Events in China from 2015 to 2020 |
title_fullStr |
Characteristics of Dust Events in China from 2015 to 2020 |
title_full_unstemmed |
Characteristics of Dust Events in China from 2015 to 2020 |
title_sort |
characteristics of dust events in china from 2015 to 2020 |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2021-07-01 |
description |
As the main source of dust in Asia, China often suffers from dust events. The temporal and spatial characteristics of dust events change with the variations of geography, climate and human activities. Based on the criteria of selecting dust events proposed recently by the China Environmental Monitoring Station, the hourly concentration of PM<sub>10</sub> and PM<sub>2.5</sub> of 336 cities in China from 2015 to 2020 were used to study the temporal and spatial characteristics of dust events more accurately and objectively. The results showed that all of the dust events in China clearly decreased, but the strong dust events did not decrease. There were 334 cities that had dust events except Shenzhen and Dongguan, 299 cities were seriously polluted due to dust events, 134 cities encountered dust level III and 56 cities encountered dust level IV. The high frequencies of dust events were mainly distributed in Northern China, especially in Northwest China. The dust contribution of PM<sub>10</sub> to the cities in Northwest China was more than 10% and about 5–10% for PM<sub>2.5</sub>. The most likely month for dust was May. The starting time of dust was bimodally distributed, and the most common starting time was 10:00–11:00 BJT, followed by 22:00–23:00 BJT. According to the PSCF (Potential Source Contribution Function) results, the dust potential source contribution of different cities mainly came from the northwest, and was mainly affected by Mongolia in addition to the local dust in China. In addition, Beijing was obviously affected by dust recirculation. This study is of great significance to the improvement of the forecast of dust weather and the warning of heavy pollution caused by dust events. |
topic |
dust events spatiotemporal distribution PSCF particulate concentration |
url |
https://www.mdpi.com/2073-4433/12/8/952 |
work_keys_str_mv |
AT liliyang characteristicsofdusteventsinchinafrom2015to2020 AT shuwenzhang characteristicsofdusteventsinchinafrom2015to2020 AT zhongweihuang characteristicsofdusteventsinchinafrom2015to2020 AT yanpingyang characteristicsofdusteventsinchinafrom2015to2020 AT linawang characteristicsofdusteventsinchinafrom2015to2020 AT wenyuhan characteristicsofdusteventsinchinafrom2015to2020 AT xiaoyunli characteristicsofdusteventsinchinafrom2015to2020 |
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1721194927728099328 |