Air pollution characteristics and human health risks in key cities of northwest China

Luo, Haiping; Guan, Qingyu; Lin, Junqi; Wang, Qingzheng; Yang, Libin; Tan, Zhe; Wang, Ning

doi:10.1016/j.jenvman.2020.110791

Cited by 82 publications

(48 citation statements)

References 92 publications

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“…There was also sufficient and robust evidence that the short-term exposure to O 3 , NO 2 , particulate matter was positively correlated with ozone all-cause mortality [51,52], the death rate attributed to O 3 was the highest proportion of the six basic pollutants, and the meager ozone pollution would cause higher mortality rate [53]. The chemical interconversion between NO 2 and O 3 , coupled with the fact that both are associated with health effects, has also led to recent interest [54].…”

Section: Discussionmentioning

confidence: 99%

Assessing the Impact of Lockdown on Atmospheric Ozone Pollution Amid the First Half of 2020 in Shenyang, China

Wang

Fang

2020

IJERPH

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During the eruption of COVID-19, a citywide lockdown was executed from 26 January to 23 March 2020, in Shenyang, in which the ozone pollution has recorded significant variations. This paper mainly anatomized the comprehensive characteristics and evolution trends of ozone pollution based on the lockdown period in the first half of 2020. Using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and cluster analysis method to establish backward trajectories and channels, the spatial transport process of ozone in the preset period and the causation of typical ozone pollution events were investigated in depth. The results demonstrated that: The ozone concentration pollution in the first half of 2020 was increased than last year. During the lockdown period, the basic pollutants levels were lower than that in pre-lockdown under different proportions, except O3 maximum 8-h moving average (MDA8) was increased by 69.7%, accompanied by the delay of daily peak value, increased pollution days and longer pollution cycle. The typical pollution events were highly consistent with the evolution path of fine aerosol compelled by extreme weather. The ozone concentration and the atmospheric oxidation capacity can be stably maintained at a low level when NO2 concentration remained at 50–70 μg/m3, no matter how much the AQI was. Meanwhile, ozone concentration in the downwind suburban was as low as the central city and soared in few stations amid post-lockdown, simultaneous the correlation between ozone and other pollutants converted from negative to positive. The trajectory indicated that the pollution sources during the lockdown and pre-lockdown were basically Southern Russia, Inner Mongolia, and the three provinces of Northeast China, the pollution from the Bohai Sea provoked ozone pollutants in Shenyang to rebound briskly amid post-lockdown, the pollution of neighboring countries and areas would have a stronger impact on air quality under the effect of lockdown.

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Section: Discussionmentioning

confidence: 99%

Assessing the Impact of Lockdown on Atmospheric Ozone Pollution Amid the First Half of 2020 in Shenyang, China

Wang

Fang

2020

IJERPH

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“…The AAQI , considering the combined effects of the six criteria pollutants, is calculated through Formula (1) [ 23 , 33 ]:

where ρ is an empirical constant. Similar to other literatures, ρ = 2 was adopted in this paper [ 25 , 26 , 27 ].…”

Section: Methodsmentioning

confidence: 99%

“…Subsequently, to solve the defect of the AQI, the aggregate AQI (AAQI) and health risk-based AQI (HAQI) were proposed by Kyrkilis et al and Wong et al, with considering the comprehensive health effects of exposure to multi-pollutants, respectively [ 23 , 24 ]. Some studies compared the three approaches in several major megacities in China and pointed out that the AQI system clearly underestimated the combined impact of multiple pollutants on health risks [ 25 , 26 , 27 , 28 ]. The YREB is affected by high concentrations of air pollutants, so the health risks associated with exposure to multi-pollutants might be more unique.…”

Section: Introductionmentioning

confidence: 99%

Air Pollution Characteristics and Health Risks in the Yangtze River Economic Belt, China during Winter

Mao

Sun

Zhang

2020

IJERPH

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The air pollution characteristics of six ambient criteria pollutants, including particulate matter (PM) and trace gases, in 29 typical cities across the Yangtze River Economic Belt (YREB) from December 2017 to February 2018 are analyzed. The overall average mass concentrations of PM2.5, PM10, SO2, CO, NO2, and O3 are 73, 104, 16, 1100, 47, and 62 µg/m3, respectively. PM2.5, PM10, and NO2 are the dominant major pollutants to poor air quality, with nearly 83%, 86%, and 59%, exceeding the Chinese Ambient Air Quality Standard Grade I. The situation of PM pollution in the middle and lower reaches is more serious than that in the upper reaches, and the north bank is more severe than the south bank of the Yangtze River. Strong positive spatial correlations for PM concentrations between city pairs within 300 km is frequently observed. NO2 pollution is primarily concentrated in the Suzhou-Wuxi-Changzhou urban agglomeration and surrounding areas. The health risks are assessed by the comparison of the classification of air pollution levels with three approaches: air quality index (AQI), aggregate AQI (AAQI), and health risk-based AQI (HAQI). When the AQI values escalate, the air pollution classifications based on the AAQI and HAQI values become more serious. The HAQI approach can better report the comprehensive health effects from multipollutant air pollution. The population-weighted HAQI data in the winter exhibit that 50%, 70%, and 80% of the population in the upstream, midstream, and downstream of the YREB are exposed to polluted air (HAQI > 100). The current air pollution status in YREB needs more effective efforts to improve the air quality.

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“…Lua et al 54 Mortality calculation method PM2.5 in most provinces remained stable, and the premature death rate caused by PM2.5 decreased from 1 078 800 in 2014 to 962 900 in 2017. Luo et al 55 AirQ2.2.3 model and air quality index PM10 pollution is mainly caused by sandstorms in spring and winter, and 20% of the urban population in Northwest China is exposed to polluted air, which leads to an increase in respiratory and cardiovascular diseases. Pierangeli et al 56 Quantitative health impact assessment approach Under the influence of air pollution, Barcelona estimated that as many as 1230 (48%) children had asthma cases, and found that less socially dependent groups could be more affected by asthma-related to air pollution than those more socially dependent.…”

Section: Regression Modelmentioning

confidence: 99%

Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries

Feng

Ren

Chiu

et al. 2020

INQUIRY

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Environment pollution was closely related to human health. The energy consumption is one of the important sources of environmental pollution in the development of economy. This paper used undesirable two-stage meta-frontier DDF (distance difference function) data envelopment analysis model to explore the impact of environment pollutants from energy consumption on the mortality of children and the aged, survival rate of 65 years old and health expenditure efficiency in 27 high income countries, 21 upper middle income countries, and 16 lower middle income countries from 2010 to 2014. High income countries had higher efficiency of energy and health than middle income countries in general. But whether in high income or middle income countries, the efficiency of non-renewable energy is higher than renewable energy. There was much room for both high income countries and middle income countries to improve renewable energy efficiency. Besides, middle income countries need to improve the efficiency of non-renewable energy and reduce pollutant emissions per unit of GDP. In terms of health efficiency, upper middle income countries performed worse than lower income countries. This phenomenon might indicate there was a U-shaped relationship between health efficiency and income level. Upper income countries should pay more attention to the environmental and health problems and cross the U-shaped turning point. The contribution of this article was to consider the heterogeneous performance of energy efficiency, environmental efficiency, and health efficiency under the influence of income level differences, and found that there might be a U-shaped relationship between health efficiency and income level.

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Air pollution characteristics and human health risks in key cities of northwest China

Cited by 82 publications

References 92 publications

Assessing the Impact of Lockdown on Atmospheric Ozone Pollution Amid the First Half of 2020 in Shenyang, China

Assessing the Impact of Lockdown on Atmospheric Ozone Pollution Amid the First Half of 2020 in Shenyang, China

Air Pollution Characteristics and Health Risks in the Yangtze River Economic Belt, China during Winter

Dynamic Linkages Among Energy Consumption, Environment and Health Sustainability: Evidence from the Different Income Level Countries

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