Characterizing spatiotemporal patterns of air pollution in China: A multiscale landscape approach

China’s tremendous economic growth in the past three decades has resulted in a number of environmental problems, including the deterioration of air quality. In particular, fine particulate matter (PM) has received increasing attention from scientists, governmental agencies, and the public due to its adverse impacts on human health. Monitoring the spatiotemporal patterns of air pollution is important for understanding its transport mechanisms and making effective environmental policies. The main goal of this study, therefore, was to quantify the spatial patterns and movement of air pollution in China at annual, daily, and hourly scales, so that the underlying drivers could be better understood. We used remote sensing data and landscape metrics together to capture spatiotemporal signatures of air pollution. Our results show that, at the annual scale, PM_2.5 concentrations in China increased gradually from 1999 to 2011, with the highest concentrations occurring in the North China Plain as well as the middle and lower reaches of the Yangtze River Basin. The total population affected by air pollution was about 975 million in 2010 (about 70% of China’s population). Our more detailed analysis on daily and hourly scale further revealed that a heavy air pollution event occurred, expanded, aggregated, and finally dissipated over Northern China during Oct. 6–12, 2014, suggesting that the Beijing-Tianjin-Hebei region a center of severe pollution. Crop stalks burning in agricultural areas in this region seemed to be one of the leading drivers, along with coal burning and transportation emissions. Our study demonstrates that spatial pattern analysis with landscape metrics is effective for analyzing source-sink dynamics of air pollution and its potential drivers. Our findings of major source areas and movement trajectories should be useful for making air pollution control policies to improve China’s air quality.     

Air pollution and the lung: epidemiological approach

Epidemiological evidence has concurred with clinical and experimental evidence to correlate current levels of ambient air pollution, both indoors and outdoors, with respiratory effects. In this respect, the use of specific epidemiological methods has been crucial. Common outdoor pollutants are particulate matter, nitrogen dioxide, carbon monoxide, volatile organic compounds and ozone. Short-term effects of outdoor air pollution include changes in lung function, respiratory symptoms and mortality due to respiratory causes. Increase in the use of health care resources has also been associated with short-term effects of air pollution. Long-term effects of cumulated exposure to urban air pollution include lung growth impairment, chronic obstructive pulmonary disease (COPD), lung cancer, and probably the development of asthma and allergies. Lung cancer and COPD have been related to a shorter life expectancy. Common indoor pollutants are environmental tobacco smoke, particulate matter, nitrogen dioxide, carbon monoxide, volatile organic compounds and biological allergens. Concentrations of these pollutants can be many times higher indoors than outdoors. Indoor air pollution may increase the risk of irritation phenomena, allergic sensitisation, acute and chronic respiratory disorders and lung function impairment. Recent conservative estimates have shown that 1.5-2 million deaths per year worldwide could be attributed to indoor air pollution. Further epidemiological research is necessary to better evaluate the respiratory health effects of air pollution and to implement protective programmes for public health.     

Risk perception of air pollution: An exploration of self-relevancy

Air pollution is a serious environmental issue that has been long recognized. Whereas government policies attempt to reduce air pollution by controlling various pollution sources, research on risk perception of air pollution tends to treat air pollution as a single unified risk and neglects the complication of the polluting sources. Previous research consistently demonstrates that lay people have an inaccurate understanding of air pollution and are unwilling to change their behaviors to decrease pollution. However, these findings can hardly be employed in policy-making because researchers and policy-makers treat air pollution differently. The aim of the present study is to obtain a nuanced understanding of people's risk perception of air pollution from different sources. Moreover, we propose a new risk dimension, Self-Relevancy, and try to understand people's reluctance to change their behaviors to reduce pollution. Three main findings emerged. First, we demonstrated that people perceived each air pollution source differently. Second, factor analysis of risk characteristics showed that ratings of Self-Relevancy questions mainly loaded on the same factor, which indicates the robustness of the Self-Relevancy risk dimension. Finally, we found that people's ratings of Self-Relevancy positively predicted their perceived risk for some of the pollution sources. These findings highlight the importance of investigating sub-categories of risks and exploring the risk dimension of Self-Relevancy in future risk perception research to provide detailed and informative data for policy-makers.     

Phytomonitoring of air pollution in the Baikal region

Phytomonitoring of air pollution has been performed using the Scots pine as a highly sensitive bioindicator. Needles have been sampled from key plots along the macrotransect Sayansk-Irkutsk-Listvyanka (with a total length of 320 km) covering the main industrial centers of the Baikal region and stretching up to the shoreline of Lake Baikal. The content of inorganic pollutants (sulfur, fluorides, heavy metals, etc.) has been determined. The highest level of air pollution has been registered in the following industrial centers: Angarsk, Irkutsk, Usol’e-Sibirskoe, and Shelekhov. The degree of pollution is lower in industrial centers such as Sayansk and Cheremkhovo. The data provide evidence that most pollutants reach the shoreline of Lake Baikal.     

Air pollution from natural and anthropic sources and male fertility

Exposure to air pollution has been clearly associated with a range of adverse health effects, including reproductive toxicity. However, a limited amount of research has been conducted to examine the association between air pollution and male reproductive outcomes, specially semen quality. We performed a systematic review (up to March 2017) to assess the impact of environmental and occupational exposure to air pollution on semen quality. Epidemiological studies focusing on air pollution exposures and male reproduction were identified by a search of the PUBMED, MEDLINE, EBSCO and TOXNET literature bases. Twenty-two studies were included which assess the impact of air pollutants (PM_2.5, PM₁₀, SO₂, NOx, O₃, PAHs) on main semen parameters (sperm concentration, motility, morphology), CASA parameters, DNA fragmentation, sperm aneuploidy and the level of reproductive hormones. The number of studies found significant results supporting the evidence that air pollution may affect: DNA fragmentation, morphology and motility.In summary, most studies concluded that outdoor air pollution affects at least one of the assessed semen parameters. However the diversity of air pollutants and semen parameters presented in the studies included in the review and different study design caused lack of consistency in results and difficulties in comparison.     

Stochastic Modelling of Air Pollution Impacts on Respiratory Infection Risk

The impact of air pollution on people’s health and daily activities in China has recently aroused much attention. By using stochastic differential equations, variation in a 6 year long time series of air quality index (AQI) data, gathered from air quality monitoring sites in Xi’an from 15 November 2010 to 14 November 2016 was studied. Every year the extent of air pollution shifts from being serious to not so serious due to alterations in heat production systems. The distribution of such changes can be predicted by a Bayesian approach and the Gibbs sampler algorithm. The intervals between changes in a sequence indicate when the air pollution becomes increasingly serious. Also, the inflow rate of pollutants during the main pollution periods each year has an increasing trend. This study used a stochastic SEIS model associated with the AQI to explore the impact of air pollution on respiratory infections. Good fits to both the AQI data and the numbers of influenza-like illness cases were obtained by stochastic numerical simulation of the model. Based on the model’s dynamics, the AQI time series and the daily number of respiratory infection cases under various government intervention measures and human protection strategies were forecasted. The AQI data in the last 15 months verified that government interventions on vehicles are effective in controlling air pollution, thus providing numerical support for policy formulation to address the haze crisis.     

Air pollution causes atherosclerosis through inducing pathological changes in the blood (a new perspective)

Atherosclerosis has been correlated with air pollution. However, the air pollution's atherogenic mechanism is not clear yet. This hypothesis proposes an atherogenic mechanism for air pollution and claims that the air pollution changes the physiological properties of the blood and then these changes promote the formation of atherosclerotic plaques. The first atherogenic effect of air pollution is hypothesized to be the inactivation of alpha-1 antitrypsin molecules in plasma via oxidation. In the next step, oxidized alpha-1 antitrypsin attaches LDL and forms a complex in the blood stream of lungs. This complex goes through intima with the action of a mediator and when in the vascular wall it is catabolised 4 times more effectively than LDL alone. The result is the formation of foamy cells that characterize atherosclerosis. In this hypothesis, it is also reasoned that the mediator of the complex passage through the arterial walls is elastase. At the end, this hypothesis argues on the bases of its documents that the mean distribution of atherosclerosis in the body obeys a pattern of decreased intensity centrifugally from lungs.     

景观生态学在大气污染研究中的应用

快速城市化和工业化进程造成了一系列大气污染问题,亟需在宏观尺度上解析大气污染时空分布规律。景观生态学关注格局与过程耦合,景观"源汇"理论可对应解析大气污染物的源与汇效应,将景观生态学的理论与方法引入大气污染研究中已成为解决当前区域发展与大气污染权衡的有效途径。从景观生态学视角辨识了景观与大气污染物的源汇关系,系统梳理了景观格局与大气污染的定量关系,指出当前景观格局指标仍需进一步完善以表征大气污染时空分布特征,而高质量大气污染物时空数据的缺乏是限制景观格局与大气污染过程耦合分析的重要因素,拓展应用景观"源汇"理论,定量解析景观格局对大气污染的源汇效应,同时进一步研发遥感反演技术,实现大气污染物分布格局的精细刻画,将为区域景观规划提供重要支撑。强化大气污染研究中的景观生态学分析途径,将有助于深化景观生态学格局与过程耦合研究体系,也将为景观可持续管理提供有力的科学支撑。     

Structure of the crown of Siberian larch as a complex stability index of trees in the plantations of Krasnoyarsk

The state of larch plantations has been analyzed in residential districts of Krasnoyarsk differing in the level of air pollution. The crown structure is characterized and correlations are established between the habit signature and tree states observed in the regions with medium and high levels of air pollution. It is concluded that the sensitivity of correlation signs is high enough to reveal the changes in tree state that cannot be diagnosed by eye.     

Acute effects of air pollution changes in schoolchildren: the Gardanne coal basin study

In the literature, studies devoted to shortterm effects of air pollution episodes in children have provided controversial results. To evaluate if acute air pollution changes in the Gardanne coal basin (France) could have deleterious effects on children's pulmonary function, we studied 160 children on two different days. Each in-school examination consisted of a short questionnaire and a spirometric assessment. The area included districts of high and low pollution levels. In the former, the two examinations took place at different air pollution levels whereas, in the latter, the air pollution levels were comparable. We obtained higher spirometric values during the second examination, regardless of air pollution changes and suggesting a learning effect, which vanished when we used FEV₁/FVC ratio. The difference in FEV₁/FVC between days of low and high pollution was significant but merely equal to 2%. There was no change of clinical symptom score.     

我国典型城市空气质量演变及其调控——以深圳市2000-2017年为例

目前国内外许多城市面临严重的空气污染问题,严重制约城市发展、影响人体健康。同时,部分城市（如深圳）空气质量已经达到并保持在良好的水平。探究这些城市空气质量演变过程及其调控,可为我国大量仍面临严重空气污染问题的城市提供参考和借鉴。以深圳市为案例,利用环境质量公报数据和统计年鉴数据,通过分析多个社会经济因子与典型污染物的相关关系,探究其空气质量演变特征与调控经验。结果表明,深圳市各类型空气污染物与城市社会经济发展均符合EKC模型假说,但不同污染物所处阶段不同。颗粒物、SO₂和NO₂均处于下降阶段,而O₃目前处于高水平平稳阶段。总结深圳市空气质量改善历程及调控措施,发现主要有两大方面：宏观上严格把控;微观上精准治理。宏观上,重点放在产业结构和能源结构的快速调整上,对于空气质量的改善起到了非常明显的作用。而在微观精细化的管理上,对于空气污染的治理政策要具有持续性、精准性和及时性。当下,针对首要的O₃污染问题,深圳市应重点关注城市人为排放VOCs和植物释放VOCs对O₃生成的影响,以及城市热环境对O₃浓度的影响。     

Quantifying the health impacts of air pollution under a changing climate—a review of approaches and methodology

Climate change has been predicted to affect future air quality, with inevitable consequences for health. Quantifying the health effects of air pollution under a changing climate is crucial to provide evidence for actions to safeguard future populations. In this paper, we review published methods for quantifying health impacts to identify optimal approaches and ways in which existing challenges facing this line of research can be addressed. Most studies have employed a simplified methodology, while only a few have reported sensitivity analyses to assess sources of uncertainty. The limited investigations that do exist suggest that examining the health risk estimates should particularly take into account the uncertainty associated with future air pollution emissions scenarios, concentration-response functions, and future population growth and age structures. Knowledge gaps identified for future research include future health impacts from extreme air pollution events, interactions between temperature and air pollution effects on public health under a changing climate, and how population adaptation and behavioural changes in a warmer climate may modify exposure to air pollution and health consequences.     

Air Pollution from Industry and Traffic: Perceived Risk and Affect in the Moerdijk Region,The Netherlands

The aim of the present study was to compare the perceived risks of air pollution from industry and traffic in the Moerdijk region in The Netherlands, and to identify the demographic and psychometric variables that are associated with these perceived risks. We sent out a questionnaire and risk perceptions were explored using multiple regression models. The results showed that the perceived risks of industrial air pollution were higher than for those of traffic-related air pollution. The perceived risk of industrial air pollution was associated with other variables than that of traffic. For industry, the psychometric variable affect prevailed. For traffic-related air pollution, the demographic variables age and educational level prevailed, although affect was also apparent. Which source was considered as the major source—traffic or industry—depended on a high risk perception of industrial air pollution, and not on variation in risk perception of traffic-related air pollution. These insights can be used as an impetus for the local risk management process in the Moerdijk region. We recommend that local authorities consider risk perception as one of the targets in local risk management strategies as well.     

Aberrantly expressed long non‐coding RNAs in air pollution‐induced congenital defects

Air pollution has been a serious public health issue over the past few decades particularly in developing countries. Air pollution exposure during pregnancy poses potential threat to offspring as the deleterious substances might pass through placenta to alter foetal development. A growing number of studies have demonstrated that long non‐coding RNAs (lncRNAs) participate in the development of many diseases, including congenital defects. Here, we used RNA sequencing to identify differentially expressed lncRNAs in air pollution‐exposed rat embryos compared with control group. Our data suggested that 554 lncRNAs (216 up‐regulated and 338 down‐regulated) were significantly differentially expressed in the air pollution‐exposed embryos. Moreover, potential cellular functions of these deregulated lncRNAs were predicted via KEGG signal pathway/GO enrichment analyses, which suggested the possible involvements of neurological process, sensory perception of smell and the G‐protein signalling pathway. Furthermore, potential functional network of deregulated lncRNAs and their correlated mRNAs in the development of congenital spinal abnormality was established. Our data suggested that lncRNAs may play a vital role in the pathophysiology of air pollution‐exposed congenital spinal malformation.     

Co-benefits of climate mitigation: Counting statistical lives or life-years?

Making up for air pollution related mortality and accounting for the number of deaths has become an important environmental indicator in its own right, but differences across the Atlantic over how to account for these are making it difficult to find common ground in climate policy appraisals, where co-benefits from reducing air pollution of fossil fuels is to be factored in. This article revisits established quantification methodologies for air pollution related mortality applied by government agencies in USA and EU. Demographic lifetables are applied to explore uncertainties over latency periods and the number of affected victims. These lifetable simulations are based on WHO consensus estimates for the mortality risk ratio related to long-term exposures and suggest an average loss of life expectancy of 9–11 years for an annual air pollution exposure increase of 10 ugPM_2.5/m³. With a common OECD base value approach the air pollution costs related to fossil fuels are found to be about 3 times lower with EU versus US methodology.     

Effects of who-ecosystem manipulations on ecosystem internal processes

Whole-ecosystem manipulation is a useful tool for investigating the effects of air pollution, air pollution reduction strategies and management practices on the health and productivity of forests, and has become widely used in forest ecosystem research. This review of the whole-ecosystem manipulation research gives an overview of the recent and ongoing research within this field and synthesizes the results obtained so far.     

空气污染对信鸽比赛个体归巢速度的影响

空气污染作为一种有害的环境因素,对人类及动物的生理、心理均有影响.在鸟类中,信鸽(Columba livia)是研究空气污染影响的理想模型.为探究空气污染的行为学效应,通过收集并筛选2018和2019年成都市信鸽协会春秋两个季节举办的64场赛事共285羽参赛5场及以上的信鸽不同空距等级下的归巢速度,利用混合线性模型分析...     

The effect of air pollution from nitrogen dioxide (NO2) on epiphytic lichens in Seville, Spain

The effect of air pollution from nitrogen dioxide (NO₂) on the epiphytic lichens of the city of Seville (Spain) has been studied. Indices of air purity (IAP) were calculated, based on the lichen flora ofMelia azedarach L. present at 25 stations distributed through the city. The arrangement and classification of the stations by principal component analysis and cluster analysis, respectively, enabled the study area to be zoned into four zones of air purity. Accordingly, the zonal map of air purity for the city of Seville yields a gradient of air purity that is very steep from the centre to the outskirts. The dependence of 77.6% of IAP variability with NO₂ pollution levels detected with air emission sensors distributed through the city suggests the relationship between NO₂ levels and zones of air purity.     

基于环境库兹涅茨曲线的我国大气污染防治重点区域环境空气质量与经济增长关系研究

改革开放以来,中国经济迅猛发展,但大气污染等环境问题日益突出。进入21世纪,我国通过颁布实施多项大气污染防治政策,将京津冀及周边地区、长三角地区、珠三角地区等大气污染较严重的区域划定为重点区域,针对性制定治污措施和实施减排工程,努力推动区域环境空气质量改善。基于2000-2019年我国31个省（自治区、直辖市）（以下简称31个省份）GDP,以及SO₂、PM₁₀、NO₂三项大气污染物浓度数据,利用环境库兹涅茨曲线（EKC,Environmental Kuznets Curve）模型,对31个省份和京津冀及周边地区、长三角地区、珠三角地区的经济增长情况、大气污染物浓度演变以及二者之间的关系进行了系统全面的分析评估。研究结果显示：（1）近年来实施的各项大气污染防治政策,特别是2013年以来颁布实施的《大气污染防治行动计划》《打赢蓝天保卫战三年行动计划》,推动环境空气质量改善的同时,促进了经济发展与环境保护长期关系协调性逐步增强,除NO₂浓度呈U型外,31个省份SO₂浓度、PM₁₀浓度与人均GDP的EKC曲线呈倒U型和倒N型,并处于快速下降阶段。（2）京津冀及周边地区SO₂浓度与人均GDP呈倒U型,且处于快速下降阶段;PM₁₀和NO₂浓度均呈现U型关系,且均处于上升期。（3）长三角地区SO₂、PM₁₀浓度与人均GDP呈现倒U型和U型,但均处于下降阶段;NO₂浓度与人均GDP无相关关系。（4）珠三角地区SO₂、PM₁₀和NO₂浓度与人均GDP均呈现倒U型关系,且均处于下降阶段。为此,建议"十四五"期间我国政府要继续实施新一轮的大气污染防治行动计划,聚焦机动车NO_x污染管控,大力推动NO₂浓度稳步下降,以实现我国环境空气质量持续改善,为统筹经济高质量发展和生态环境高水平保护奠定坚实基础。