A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources

Yu, Hong‐Ren; Yang, Wen; Wang, Xinhua; Yin, Baohui; Zhang, Xian; Wang, Jing; Gu, Chaohua; Ming, Jing; Geng, Chunmei; Zhang, Bai

doi:10.1016/j.scitotenv.2019.04.298

Cited by 49 publications

(25 citation statements)

References 47 publications

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“…The nature of aerosol formation is different in these regions. The main source of air pollution in the Tarim Basin is coarse particles of natural origin, comprised predominantly of dust and sand from the Taklamakan Desert and other deserts, included the Gobi Desert (Yu et al ., 2019). In contrast, on the North China Plain, the primary sources of air pollution are fine aerosols of predominantly anthropogenic origin that constitute a considerable proportion of these aerosols in the total aerosol loading of the area (Shi et al ., 2018; Filonchyk et al ., 2019).…”

Section: Resultsmentioning

confidence: 99%

“…It extends 1,600 km from southwest to northeast and 800 km from north to south. The region experiences sandstorms every spring, usually originating in the Tarim Basin and the Gobi Desert itself (She et al ., 2018; Tian et al ., 2018; Maki et al ., 2019; Meng et al ., 2019; Yu et al ., 2019; Filonchyk et al ., 2020b). Intensive weather fronts, which occur in spring, contribute to sandstorm formation.…”

Section: Introductionmentioning

confidence: 99%

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Air pollution in the Gobi Desert region: Analysis of dust‐storm events

Filonchyk

Peterson

Hurynovich

2021

Quart J Royal Meteoro Soc

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Air pollutants in nine cities of the Gobi Desert region are examined in this study. Mean concentrations of PM2.5 and PM10, retrieved from ground‐based air quality monitoring stations, were 36.2 ± 23.7 and 97.3 ± 84.5 μg·m−3, respectively. The highest concentrations of pollutants were in spring and winter. This can be explained by wind‐borne dust in the spring and emissions from domestic sources during the winter heating season. The highest PM2.5 and PM10 concentrations were registered in a period of dust‐storm activity with values of 343 μg·m−3 and 1,642 μg·m−3. Generally, clean continental (CC) was the dominant aerosol type (73.9%), followed by mixed (MX) aerosol type (20.4%) with insignificant contribution of clean marine (CM) (2.1%), urban/industrial and biomass burning (UI/BB) (0.9%) and desert dust (DD) (2.7%) aerosol types. The various measures of pollution retrieved from AERONET stations, including aerosol optical depth (AOD), Ångström exponent (AE), asymmetry parameter (AP), single scattering albedo (SSA) and aerosol volume size distribution (AVSD), specify the content of coarse aerosol fractions in the period of dust activity. The aerosol radiative forcing at the bottom of the atmosphere (ARFBOA) and the top of the atmosphere (ARFTOA) during dust days were estimated to be −115.76 and −241.31 W·m−2, with a corresponding heating rate of 3.52 K·day−1. According to the backward and forward trajectories of air masses, the dust cloud moved to the east and southeast from the epicentre, affecting the eastern and the central parts of the country. This study may advise environmental policy, as it showed how controlling causes of pollution can improve air quality.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Air pollution in the Gobi Desert region: Analysis of dust‐storm events

Filonchyk

Peterson

Hurynovich

2021

Quart J Royal Meteoro Soc

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“…So in Lanzhou in the period from 2014 to 2017 mass concentration of PM 2.5 and PM 10 were 53.2 ± 26.91 and 124.54 ± 82.33 μg/m 3 , with the highest concentrations of PM 2.5 in winter (73.21 ± 33.30 μg/m 3 ) and in autumn (52.55 ± 24.59 μg/m 3 ), and PM 10 were in winter (151.26 ± 101.5 μg/m 3 ) and spring (137.28 ± 86.09 μg/m 3 ), the results showed that in 75.53% and 84.85% days, concentrations of PM 2.5 and PM 10 exceeded CNAAQS (Filonchyk and Yan 2018). In the cities of southern Xinjiang, which are near a potential sources of natural aerosols in Tarim Basin, in 2016 concentrations of PM 2.5 and PM 10 , were 99 ± 106 and 289 ± 363 μg/m 3 , and the highest concentrations were in dust season (March, April, May) in all cities (Akesu, Hotan, Kashi, Atushi, Kurla) with highs in Kashi (253 and 799 μg/m 3 ) and Hotan (154 and 413 μg/m 3 ) (Yu et al 2019). A study in Sichuan Basin from autumn 2014 to summer 2015 showed that concentration PM 2.5 in Chengdu were 67.0 ± 43.4 μg/m 3 , and the highest concentrations were in winter (113.5 ± 47.8 μg/m 3 ) and autumn (62.1 ± 38.4 μg/m 3 ), and the smallest in spring (48.0 ± 25.2 μg/m 3 ) and summer (45.1 ± 15.2 μg/ m 3 ) (Wang et al 2018); and for PM 10 the maximum concentrations were in winter (153 ± 18 μg/m 3 ) and spring (114 ± 11 μg/m 3 ), and the smallest in autumn (87 ± 14 μg/m 3 ) and summer (73 ± 11 μg/m 3 ) with an average 106 ± 17 μg/m 3 (Xiao et al 2018).…”

Section: Seasonal Variations In Atmospheric Pollutantsmentioning

confidence: 96%

“…Studies on air pollution in China included pollutants formation processes (Gao et al 2015;Lu et al 2016), impact of synoptic and meteorological parameters (Bei et al 2016;Zhu et al 2018) as well as topography and relief on air quality (Ning et al 2018;Zhang et al 2019), temporal and spatial characteristics of air pollution (Chen et al 2018;Zheng et al 2018) as well as the ways of pollutant transportation (Filonchyk et al 2016). Nevertheless, the majority of studies focused on economically developed and densely populated regions of the country, including the Pearl River Delta (Lu et al 2016), the North China Plain (Xu et al 2016;Zhu et al 2018), the Yangtze River Delta (Kumar et al 2018;Zhang et al 2018;Zhuang et al 2018), and the Sichuan Basin (Wang et al 2017a, b;Ning et al 2018); and only few studies viewed spatial and temporal pollutant differences in the remote areas of the country (Yu et al 2019), disregarding the study of towns. The region of the South Gobi is situated in the northern part of the country and is one of the main desert regions of China, including the Badain Jaran, the Tengger, the Ulan Buh, the Ordos, and the Hobq deserts, which covers the major part of Gansu Province, Inner Mongolia, and Ningxia Autonomous Regions, and experiences a heavy air pollution, especially in spring (Wang et al 2017a, b); however, the majority of studies are focused on the study of spatial and temporal concentrations of pollutants in large cities and capitals of the provinces (Lanzhou, Xi'an, Yinchuan) (Filonchyk et al 2016;Qiu et al 2016;Zhang 2016;Chang et al 2017;Liu et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution and temporal variation of atmospheric pollution in the South Gobi Desert, China, during 2016–2019

Filonchyk

Hurynovich

2020

Environ Sci Pollut Res

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The rapid pace of economic growth and urbanization in China affects both large and small cities of the country, causing an increase of pollutant concentrations in the air. The South Gobi is one of the main deserts and semidesert regions of the country; therefore, the study of air pollution near the potential source of natural aerosols is of great importance. Data obtained in the period from 1 January 2016 to 31 December 2019 was used to analyze spatial-temporal characteristics of atmospheric pollutants (PM 2.5 , PM 10 , SO 2 , NO 2 , and CO) in eight cities. Total mean concentrations of PM 2.5 and PM 10 were 36.1 ± 21.1 μg/m 3 and 98.6 ± 108.7 μg/m 3. The occurrence rates of concentrations exceeding the Chinese National Ambient Air Quality Standard (CNAAQS) grade 1 and grade 2 were 40.1% and 5.4% for PM 2.5 and 82.9% and 11.64% for PM 10 in the region. Total concentrations of SO 2 , NO 2 , and CO did not exceed the CNAAQS standard and were 20.8 ± 23.6 μg/m 3 , 22.6 ± 11.9 μg/m 3 , and 0.72 ± 0.39 mg/m 3 , respectively. The PM 2.5 to PM 10 ratio increased from 0.35 in spring to 0.46 in winter suggesting the predominance of coarse aerosol fractions in the atmosphere. Based on data on aerosol optical depth (AOD) and Ångström exponent (AE) ratio obtained from Moderate Resolution Imaging Spectroradiometer (MODIS), the predominant aerosol types in the region are Clean Сontinental and Mixed. Maximum concentrations of pollutants and the highest AOD values in the region air are observed in spring and winter. Results set forth in this article will be an important basis for further regional studies on air quality and distribution of sources.

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“…It is worth noting that HW events also act as a significant factor in enhancing PM 2.5 concentrations in all seasons throughout China (3.31 ± 0.35, 4.14 ± 0.19, 6.15 ± 0.23, and 9.78 ± 0.38 µg m −3 for spring, summer, autumn, and winter, respectively), except for western Xinjiang province, probably because that the particle air pollution in that region is primarily caused by dust storms and the surrounding deserts rather than by local emissions (Yu et al., 2019). The strongest enhancement of PM 2.5 concentrations (21.83 ± 1.11 µg m −3 ) from HWs occurs in East China during winter.…”

Section: Impacts On Ozone and Pm25 Pollutionmentioning

confidence: 99%

Impacts of Extreme Air Pollution Meteorology on Air Quality in China

Yang

Shao

2021

JGR Atmospheres

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Extreme air pollution meteorological events (EAPMEs), such as atmospheric stagnation (AS), heat wave (HW), and temperature inversion, significantly affect regional air quality. In the present study, considerably increased EAPME frequency with clear spatial variations is identified in China from 1960 to 2019. Strong air quality sensitivities to EAPMEs are identified by combing air quality and meteorological observations. We found that HW greatly affects ozone concentration and may enhance the generation of fine particles. AS showed a noticeable but opposite impact on fine particle pollution between northern and southern China owing to the wintertime heating policy. EAPMEs may increase the probability of air pollution for pollution levels greater than 2. For example, the synthetic effects of multiple EAPMEs could increase the probability of summer ozone and winter fine particle pollution in China by factors of up to 5 and 2, respectively. Based on such information, more attention may be needed on the collaborative prediction of extreme meteorological events and air pollution episodes.

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A seriously sand storm mixed air-polluted area in the margin of Tarim Basin: Temporal-spatial distribution and potential sources

Cited by 49 publications

References 47 publications

Air pollution in the Gobi Desert region: Analysis of dust‐storm events

Air pollution in the Gobi Desert region: Analysis of dust‐storm events

Spatial distribution and temporal variation of atmospheric pollution in the South Gobi Desert, China, during 2016–2019

Impacts of Extreme Air Pollution Meteorology on Air Quality in China

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