Study on the variation characteristics of tropospheric ozone in Northeast China

Liang, Zhihua; Ju, Tianzhen; Dong, Huiping; Geng, Tunyang; Duan, Jiale; Huang, Rongjin

doi:10.1007/s10661-021-09030-0

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…The ozone column concentration showed obvious periodicity in the monthly average change. The concentration started to rise in January and peaked in March and April; then, the ozone column concentration began to decrease, until December and January of the next year, when the ozone column concentration reached its lowest point (Liang et al, 2021). In general, the monthly average change trends of these two pollutants were exactly opposite.…”

Section: Inter-annual Variation Of Pollutants In Lanzhoumentioning

confidence: 91%

Monitoring of Compound Air Pollution by Remote Sensing in Lanzhou City in the Past 10 Years

Ju¹,

Liang²,

Liu³

et al. 2021

Preprint

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Based on satellite remote sensing data acquired by the Ozone Monitoring Instrument (OMI), this study used pixel space analysis, a coefficient of variation, stability analysis, and an atmospheric transmission model to determine the concentration of tropospheric ozone (O3), NO2, HCHO, and SO2 columns in Lanzhou from 2010 to 2019. A series of analyses were carried out on the temporal and spatial distribution of concentration, influencing factors and atmospheric transmission path. The results show that the air pollutants in this area present multi-dimensional characteristics and have a complex spatial distribution. In terms of inter-annual changes, in addition to the increase in the concentration of the HCHO column, the ozone, NO2, and SO2 column concentrations have all decreased over time. In terms of monthly average changes, these four pollutants reached their maximum values in April, December, June, and January, respectively. These four types of pollution had a strong spatial correlation, among which HCHO and SO2 had a significant positive correlation, with a correlation coefficient of 0.76. Many factors affect the Atmospheric Compound Pollution in Lanzhou. Among them, pollutants are closely related to urbanization and to the activities of coal-burning industries. Moreover, temperature, precipitation, and sunshine also have certain effects on air quality. The proliferation of pollutants in Gansu Province was one of the sources of pollutants in Lanzhou, while long-distance transportation in the atmosphere from outside the province (Qinghai, Sichuan, and Shaanxi) also exacerbated the pollution in Lanzhou.

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Section: Inter-annual Variation Of Pollutants In Lanzhoumentioning

confidence: 91%

Monitoring of Compound Air Pollution by Remote Sensing in Lanzhou City in the Past 10 Years

Ju¹,

Liang²,

Liu³

et al. 2021

Preprint

Self Cite

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“…The region's industrial structure is primarily focused on heavy chemical manufacturing and benefits from robust industrial infrastructure. Pollution in the region is predominantly attributed to the steel, machinery, petroleum, and chemical industries, with coal combustion, automobile exhaust, and petrochemical emissions being the primary sources of pollutants [87]. The western region of Northeast China is characterized by high energy consumption and an abundance of coal and mineral resources, resulting in the presence of high-pollution industries such as smelting, oil mining, and mineral extraction.…”

Section: Conclusion and Policy Implicationsmentioning

confidence: 99%

Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China

Zhou

Liu

2023

Sustainability

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Tropospheric ozone (O3) pollution has emerged as a significant concern, as it can adversely influence human health, daily activities, and the surrounding environment(The following tropospheric O3 is referred to as O3). Research on the societal contribution to O3 primarily concentrates on the generation mechanisms and chemical processes, with limited studies examining the influence of social and economic activities on O3 at a national scale. In this investigation, spatial econometric models, random forest models, and geographically weighted regression (GWR) were adopted for assessing the effects of meteorological, natural, and socioeconomic factors on O3 concentration throughout the country. The spatial error model (SEM) revealed that precipitation, temperature, wind direction, per capita GDP, RD project funding, and SO2 were the primary factors influencing O3 concentration in China, among which precipitation had the strongest effect on O3, followed by temperature and SO2. Subsequently, the GWR model was utilized to demonstrate the regional differences in the impacts of precipitation, NOx, secondary industry proportion, and electricity consumption. In central and western regions, such as Jiangxi, Guangxi, and Guizhou, precipitation, NOx, and power consumption were the leading factors contributing to severe O3 pollution. The secondary industry proportion substantially affected O3 pollution in the Beijing-Tianjin-Hebei region, indicating that this sector played a crucial role in the region’s economic growth and contributed to elevated O3 concentrations. Meteorological, natural, and socioeconomic factors exhibited a lesser influence on O3 pollution in most eastern regions compared to central and western regions. This study’s findings identified the primary contributors to O3 pollution and provided a scientific basis for developing strategies to mitigate its impact.

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“…Straw burning and coal-burning heating during winter resulted in heavy PM 2.5 pollution, and the interannual change of PM 2.5 in Northeast China showed an obvious upward trend from 1998 to 2016. MDA8 (maximum daily 8 h average) O 3 increased and the number of days exceeding the standard continued to increase which can be attributed to the superimposed effects of atmospheric long-distance transport and anthropogenic emissions [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Analysis of PM2.5 and O3 Pollution Characteristics and Transmission in Central Liaoning Urban Agglomeration from 2015 to 2020

Zhong

et al. 2022

Sustainability

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The central Liaoning urban agglomeration is an important heavy industry development base in China, and also an important part of the economy in northeast China. The atmospheric environmental problems caused by the development of heavy industry are particularly prominent. Trajectory clustering, potential source contribution (PSCF), and concentration weighted trajectory (CWT) analysis are used to discuss the temporal and spatial pollution characteristics of PM2.5 and ozone concentrations and reveal the regional atmospheric transmission pattern in central Liaoning urban agglomeration from 2015 to 2020. The results show that: (1) PM2.5 in the central Liaoning urban agglomeration showed a decreasing trend from 2015 to 2020. The concentration of PM2.5 is the lowest in 2018. Except for Benxi (34.7 µg/m3), the concentrations of PM2.5 in other cities do not meet the standard in 2020. The ozone concentration in Anshan, Liaoyang, and Shenyang reached the peaks in 2017, which are 68.76 µg/m3, 66.27 µg/m3, and 63.46 µg/m3 respectively. PM2.5 pollution is the highest in winter and the lowest in summer. The daily variation distribution of PM2.5 concentration showed a bimodal pattern. Ozone pollution is the most serious in summer, with the concentration of ozone reaching 131.14 µg/m3 in Shenyang. Fushun is affected by Shenyang intercity pollution, and the ozone concentration is high. (2) In terms of spatial distribution, the high values of PM2.5 are concentrated in monitoring stations in urban areas. On the contrary, the concentration of ozone in suburban stations is higher. The high concentration of ozone in the northeast of Anshan, Liaoyang, Shenyang to Tieling, and Fushun extended in a band distribution. (3) Through cluster analysis, it is found that PM2.5 and ozone in Shenyang are mainly affected by short-distance transport airflow. In winter, the weighted PSCF high-value area of PM2.5 presents as a potential contribution source zone of the northeast trend with wide coverage, in which the contribution value of the weighted CWT in the middle of Heilongjiang is the highest. The main potential source areas of ozone mass concentration in spring and summer are coastal cities and the Bohai Sea and the Yellow Sea. We conclude that the regional transmission of pollutants is an important factor of pollution, so we should pay attention to the supply of industrial sources and marine sources of marine pollution in the surrounding areas of cities, and strengthen the joint prevention and control of air pollution among regions. The research results of this article provide a useful reference for the central Liaoning urban agglomeration to improve air quality.

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Study on the variation characteristics of tropospheric ozone in Northeast China

Cited by 5 publications

References 32 publications

Monitoring of Compound Air Pollution by Remote Sensing in Lanzhou City in the Past 10 Years

Monitoring of Compound Air Pollution by Remote Sensing in Lanzhou City in the Past 10 Years

Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China

Temporal and Spatial Analysis of PM2.5 and O3 Pollution Characteristics and Transmission in Central Liaoning Urban Agglomeration from 2015 to 2020

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