Effects Of Air Pollution Research Articles

Association between joint exposure to ambient air pollutants and carotid plaque: The mediating role of cardiometabolic risk factors.

Research has shown that exposure to joint air pollution is related to atherosclerosis, but little evidence has been found for carotid plaques. Our objective is to assess the association between exposure to joint air pollutants and carotid plaque and explore the mediating role of cardiometabolic factors in this relationship. The Beijing Health Management Cohort (BMHC) study followed participants recruited from 2013 to 2014 until December 31, 2020. All participants underwent carotid ultrasound and were free of carotid plaque at baseline. A satellite-based land-use regression (LUR) model was applied to estimate air pollution exposure. The joint exposure to air pollutants was assessed by incorporating a weighted air pollution score. A modified Poisson regression model was conducted to investigate the relationship between exposure to air pollution and carotid plaque occurrence. Mediation analysis explored how cardiometabolic factors mediate the relationships between exposure to joint air pollution and carotid plaque risk. During an average follow-up period 4 years, 1240 cases of carotid plaque were identified among 7358 participants. Each interquartile range (IQR) increase in air pollutants was associated with the following relative risk (RR) and 95 % confidence intervals (95 % CIs) for carotid plaque: 2.5-micrometer particulate matter (PM2.5), 1,04 (1.01, 1.07), 10-micrometer particulate matter (PM10), 1.10 (1.01, 1.20), sulfur dioxide (SO2), 1.28 (1.15, 1.42), ozone (O3), 1.18 (1.01, 1.37), and carbon monoxide (CO), 1.32 (1.15, 1.50). Joint exposure to air pollution was positively and linearly associated with the occurrence of carotid plaque, with low-density cholesterol (LDL-C) and mean arterial pressure (MAP) mediating 2.24 % and 4.28 % of the association, respectively. Long-term joint exposure to ambient air pollutants elevates the risk of developing carotid plaque. LDL-C and MAP suggest partial mediating effects of joint air pollution on carotid plaques. Our results emphasize the need to thoroughly evaluate various air pollutants concerning carotid plaque.

Physical activity alleviated associations of oxidation capacity of the atmosphere with platelet-based inflammatory indicators: findings from the Henan Rural Cohort Study.

Background: several adverse effects of ozone (O3) and nitrogen dioxide (NO2) are assessed using combined oxidant capacity (Ox) and redox-weighted oxidant capacity (Owtx) as surrogates. However, the associations of oxidant capacity (Ox and Owtx) with platelet-based inflammatory indicators and the potential modifying role of physical activity (PA) remain unclear. Methods: 31 318 participants were selected from the baseline survey of the Henan Rural Cohort Study. The Ox and Owtx were calculated based on O3 and NO2. The International Physical Activity Questionnaire was used to evaluate PA. Platelet-based inflammatory indicators were obtained from the data of physical examination. Generalized linear models were applied to explore associations between atmospheric oxidation capacity indicators (O3, Ox, Owtx, and NO2) and platelet-based inflammatory indicators and whether PA modified these associations. Results: O3, Ox, and Owtx were positively associated with platelet-based inflammatory indicators (PCT, PLT, PLR, SII, MLR and SIRI). The estimated β values and 95% confidence intervals (CIs) for PLT in response to a 5 μg m-3 increment in O3, Ox, and Owtx were 19.267 × 109 L-1 (95% CI: 17.493, 21.041 × 109 L-1), 6.226 × 109 L-1 (95% CI: 5.502, 6.950 × 109 L-1), and 14.664 × 109 L-1 (95% CI: 13.101, 16.227 × 109 L-1), respectively. The corresponding values for SIRI were 0.134 × 109 L-1 (95% CI: 0.111, 0.156 × 109 L-1), 0.064 × 109 L-1 (95% CI: 0.055, 0.073 × 109 L-1), and 0.135 × 109 L-1 (95% CI: 0.115, 0.155 × 109 L-1). And similar results were observed for NO2. Furthermore, we observed positive associations of O3, Ox, Owtx, and NO2 with platelet-based inflammatory indicators attenuated by increased PA levels. Conclusions: exposure to O3, Ox, Owtx, and NO2 was positively associated with platelet-based inflammatory indicators, and these associations were modified by PA. The findings suggested that a healthy lifestyle of PA might be an effective measure against early adverse effects of air pollution.

Spatiotemporal Interaction Based Dynamic Adversarial Adaptive Graph Neural Network for Air-Quality Prediction

Air quality issues have become a major environmental concern, with severe air pollution significantly reducing air quality and posing threats to human health. Accurate air quality prediction is crucial for preventing individuals from suffering the detrimental effects of severe air pollution. Recently, deep learning methods based on spatiotemporal graph neural networks (GNNs) have made considerable progress in modeling the temporal and spatial dependencies within air quality data by integrating GNNs with sequential models. Unfortunately, previous work often treats temporal and spatial dependencies as independent components, neglecting the intricate interactions between them. This oversight prevents the models from fully exploiting the complex spatiotemporal dependencies in the data, adversely affecting their predictive performance. To address these issues, we propose a general spatiotemporal interaction framework for air quality prediction. This framework models the bidirectional interactions between temporal and spatial dependencies in a data-driven manner. Furthermore, we designed a spatiotemporal feature extraction module and a dynamic adversarial adaptive graph learning module based on this framework. We introduce the Spatial-Temporal Interaction based Dynamic Adversarial Adaptive Graph Neural Network, capable of capturing the complex interactions between spatiotemporal dependencies and learning the dynamic spatial topology among sites by incorporating the competitive optimization concept of generative adversarial networks. Extensive experiments on two real-world datasets demonstrate the effectiveness of the proposed method, outperforming existing baseline models.

Short-term effect of air pollution on mortality in Thailand: Influence of green areas, weather, demographic, and socioeconomic factors on its heterogeneity

Short-term effect of air pollution on mortality in Thailand: Influence of green areas, weather, demographic, and socioeconomic factors on its heterogeneity

Air pollution and systemic immune biomarkers in early life: a systematic review.

Children's rapid development and immature immune systems place them at a higher risk of adverse health outcomes associated with air pollution exposure. However, the specific mechanisms in which air pollution mediates immune dysregulation in youth are poorly understood. Thus, we aimed to systematically review the available epidemiological evidence surrounding the effects of indoor and ambient air pollution exposure on systemic immune biomarkers in early life (from birth to 18 years old). based on PRISMA guidelines, we developed a systematic search strategy and defined inclusion and exclusion criteria to retrieve publications from PubMed, SCOPUS and Web of Science published up to August 10th, 2024. Quality assessment and evidence evaluation were also performed. Five independent reviewers participated in the process. In total, 96 studies were included. We found limited evidence of a causal relationship between prenatal ambient PM2.5 and reduced T-cells (CD3+ and CD8+), as well as between postnatal PM exposure and increased IgE levels or allergic sensitization. For the rest of exposure-outcome combinations we classified the evidence as inadequate, mainly due to the limited number of studies available or the lack of consistency in the results obtained among them. This was particularly the case for indoor air pollution research, for which only 12 studies were available. the present systematic review highlights the need for further research on the impacts of air pollution on youth's immune system. We provided recommendations for future studies in order to better understand the early subclinical and clinical effects of air pollution and the underlying biological pathways, and identify the dynamics of the innate and adaptive immune responses to environmental threats. Considering the significance of childhood immunity on health outcomes within all stages of life, and the globally extensive burden of air pollution exposure, further research on this topic should be prioritized.

Associations of short-term exposure to air pollution with outpatient visits and treatment costs for chronic obstructive pulmonary disease in Xinxiang, China (2016-2021).

The acute health effects of air pollution on the risk of chronic obstructive pulmonary disease (COPD) have not been adequately studied and results remain inconsistent. Furthermore, fewer studies have explored the impact of air pollution on the cost of treating patients with COPD. Generalized additive models (GAM) based on Poisson distribution and gamma were applied to evaluate the association between short-term exposure to air pollution and daily COPD outpatient visits and daily COPD treatment costs. A total of 14,611 outpatient in Xinxiang from 2016 to 2021 were included for analysis. We found that short-term exposure to PM2.5, PM10, NO2 and CO were positively associated with COPD outpatient visits, and gaseous pollutants appeared to have greater effects on outpatient visits than particulate matter. For the largest effect, per 10μg/m3 increment in (per 1mg/m3 increment in CO concentration) CO (lag 01), NO2 (lag 01), PM2.5 (lag 02) and PM10 (lag 06) were significantly associated with 7.859% (95% CI:3.421,12.488), 4.894% (95% CI:3.422,6.386), 0.627% (95% CI:0.010, 1.248) and 0.531% (95% CI:0.050,1.014) increase in daily COPD outpatient visits, respectively. Short-term exposure to air pollutants (PM10, CO and NO2) was positively associated with COPD treatment costs. No significant sex or age differences were found in the stratified analysis of outpatient visits. The effect of gaseous pollutants (NO2) on COPD outpatient visits was greater in the cold season (October to March) (P<0.05), whereas the effect of particulate matter (PM2.5 and PM10) was greater in the warm season (April to September) (P<0.05). Greater health benefits could be obtained when pollutant concentrations meet WHO standards. In conclusion, short-term exposure to PM2.5, PM10, NO2 and CO was significantly associated with increased COPD outpatient visits, and gaseous pollutants appeared to have greater effects on outpatient visits than particulate matter. Further larger-scale studies are needed to validate our findings.

Impact of Drive Days and No-DriveDays on Atmospheric Carbon Monoxide (CO) concentration

Automobile emissions rise in tandem with population growth. Increases in motorised vehicles lead to high urban traffic congestion, air pollution and health effects such as asthma, cardiorespiratory illness, headaches and cardiorespiratory disorders. The carbon monoxide (CO) released by vehicles acts as a greenhouse gas and is correlated with climate change. The study aims to evaluate and compare CO levels and vehicle counts on Drive Days (DD) and No-Drive Days (NDD) and to analyse the correlation between CO Concentration and vehicle count. The vehicles were counted, and CO concentrations were monitored using a CO meter over a five-year period. The research focused on observing No-Drive Days at Bishop Heber College, where commuters are encouraged to avoid motorised vehicles and to use eco-friendly transport. The number of vehicles has reduced significantly from DDs to NDDs ranging from 36% to 90.3%. On the DD, the CO concentrations were higher than the maximum permissible level signifying the need to take measurements. However, the CO levels have reduced on NDDs with a mean of 1.52 mg/m3 well below the maximum permissible level. The investigation concluded that a decrease in vehicle numbers decreased the atmospheric CO concentration. The organisation and execution of No-Drive Days, as well as participant support greatly influence the level of success and sustainability of such initiatives.

Short-Term Effect of Air Pollution on Daily Hospital Visits for Anxiety Disorders in Southern China with Low Pollution Concentrations.

The global prevalence and burden of anxiety disorders (ADs) are increasing. However, findings on the acute effects of air pollution on ADs remain inconclusive. We evaluated the effects of short-term exposure to ambient air pollutants, including fine particulate matter (PM2.5), inhalable particulate matter (PM10), nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), and ozone (O3), on daily hospital visits for ADs. A generalized additive model was used to perform a time-series analysis on data from a Southern China city's medical insurance system between 1 March 2021, and 31 July 2023. Although the daily levels of most pollutants (PM10, SO2, CO, NO2 and O3) were consistently below China and WHO's Ambient Air-Quality Standards, significant associations were observed between daily hospital visits for ADs and all six air pollutants. Each interquartile range increase in concentrations resulted in the largest odds ratios of 1.08 (95% CI: 1.01, 1.16) at lag1 for PM2.5, 1.19 (95% CI: 1.05, 1.34) at lag07 for NO2, 1.14 (95% CI: 1.05, 1.23) at lag02 for CO, 1.12 (95% CI: 1.01, 1.25) at lag07 for PM10, 1.06 (95% CI: 1.01, 1.12) at lag7 for SO2 and 1.08 (95% CI: 1.01, 1.15) at lag7 for O3, respectively. The effects of NO2 and CO remained robust across subgroup analyses and sensitivity analyses. Females and middle-aged individuals showed stronger associations than other subgroups. The findings underscore the necessity for public health efforts to alleviate the impact of air pollution on mental health, even in low-concentration settings.

Impact of air pollution on depressive symptoms and the modifying role of physical activity: Evidence from the CHARLS study.

The association between air pollution and depressive symptoms has not been thoroughly investigated, and the role of physical activity (PA) is particularly unclear. Although PA has been shown to alleviate depression, it may also increase exposure to air pollution, potentially exacerbating its adverse effects. A total of 17,332 participants aged 45 years and older from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS) were included in this study to assess the causal effect of air pollution on depressive symptoms in China and to clarify the role of PA in this relationship. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression Scale (CES-D). Data on particulate matter (PM1, PM2.5, and PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO) were obtained from the ChinaHighAirPollutants (CHAP) dataset. PA levels were measured using a standardized questionnaire and categorized as low or high. An instrumental variable (IV) approach was used to estimate the causal effect of air pollution on depressive symptoms. Potential effect modification by PA was assessed. The IV estimates showed that all air pollutants were significantly and adversely associated with depressive symptoms, with a per interquartile range (IQR) increase in PM1, PM2.5, PM10, NO2, SO2, O3, and CO associated with 1.57 (95% confidence interval (CI): 1.15, 1.99), 1.49 (95% CI: 1.10, 1.89), 1.71 (95% CI: 1.26, 2.17), 2.22 (95% CI: 1.62, 2.81), 1.30 (95% CI: 0.96, 1.65), 4.67 (95% CI: 3.37, 5.98), and 0.97 (95% CI: 0.71, 1.22) units increase in CES-D scores, respectively. PA significantly modified this association, with higher PA levels mitigating the adverse effects of air pollution on depressive symptoms.

Effects of Atmospheric Pollutants on Volatile-Mediated Insect Ecosystem Services.

Primary and secondary atmospheric pollutants, including carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxides (NOx), ozone (O3), sulphur dioxide (SO2) and particulate matter (PM2.5/PM10) with associated heavy metals (HMs) and micro- and nanoplastics (MPs/NPs), have the potential to influence and alter interspecific interactions involving insects that are responsible for providing essential ecosystem services (ESs). Given that insects rely on olfactory cues for vital processes such as locating mates, food sources and oviposition sites, volatile organic compounds (VOCs) are of paramount importance in interactions involving insects. While gaseous pollutants reduce the lifespan of individual compounds that act as olfactory cues, gaseous and particulate pollutants can alter their biosynthesis and emission and exert a direct effect on the olfactory system of insects. Consequently, air pollutants can affect ecosystem functioning and the services regulated by plant-insect interactions. This review examines the already identified and potential impacts of air pollutants on different aspects of VOC-mediated plant-insect interactions underlying a range of insect ES. Furthermore, we investigate the potential susceptibility of insects to future environmental changes and the adaptive mechanisms they may employ to efficiently detect odours. The current body of knowledge on the effects of air pollutants on key interspecific interactions is biased towards and limited to a few pollinators, herbivores and parasitoids on model plants. There is a notable absence of research on decomposers and seed dispersers. With exception of O3 and NOx, the effects of some widespread and emerging environmental pollutants, such as secondary organic aerosols (SOAs), SO2, HMs, PM and MPs/NPs, remain largely unexplored. It is recommended that the identified knowledge gaps be addressed in future research, with the aim of designing effective mitigation strategies for the adverse effects in question and developing robust conservation frameworks.

Exploring the Interactive Effects of Greenspace Morphology and Air Pollutant on Tuberculosis Treatment Outcomes: A Comparative Analysis between Urban and Rural Areas in China

Exploring the Interactive Effects of Greenspace Morphology and Air Pollutant on Tuberculosis Treatment Outcomes: A Comparative Analysis between Urban and Rural Areas in China

Mediating effect of air pollution on urban morphology and air temperature

Mediating effect of air pollution on urban morphology and air temperature

Exploring Neighborhood Racial and Socioeconomic Heterogeneity in the Short-term Effects of Air Pollution and Extreme Heat on Medical Emergencies

Exploring Neighborhood Racial and Socioeconomic Heterogeneity in the Short-term Effects of Air Pollution and Extreme Heat on Medical Emergencies

Development of the global measurement system and its ongoing importance for accurate and effective air quality measurements.

This article emphasizes the crucial role of metrology, the science of measurement, in modern life. It explores the history and importance of the global measurement system in ensuring reliable and comparable data; how this system has evolved over the years into what we now recognise as the International System of Units; and the recent changes that have future proofed our system of measurement against the challenges of technological developments yet to come. The text highlights the particular significance of accurate measurements for air quality studies as having direct impact on policy decisions and assessment of the health effects of air pollution. To enhance the credibility and efficiency of air quality research, the article advocates for widespread adoption the principles of accreditation - the independent assessment and recognition of one's measurement capabilities - to strengthen the confidence in the conclusions made by air quality studies and thereby improve the discipline's effectiveness in supporting and assessing evidence-based policies to reduce air pollution.

Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques

ABSTRACT This study investigates the joint effect of air pollution and different types of green spaces (e.g. mixed forests) on stress levels in South Korea. Two periods were examined: before the COVID-19 pandemic (2017–2019) and during the COVID-19 pandemic (2020–2022). We used 16 total parameters for our Random Forest model. Stress was the dependent variable, and 15 other variables were independent parameters. Our focused independent parameters were PM10 and green spaces (forest types). Our findings show that mixed forests reduce stress, particularly when pollution levels are low. In addition, is associated with increased stress levels, and this relationship became stronger during the COVID-19. These findings indicate that protecting mixed forests and improving air quality may improve people’s mental health. This study provides insights into how cities can be made healthier and happier places to live, particularly during challenging periods such as a pandemic.

Air Pollution and Urban Environment: Residents Approach in the Wider Area of Volos City, Greece

Air pollution in urban environments is a complex, multidimensional issue that significantly impacts public health and people’s well-being. Previous studies have tended to focus on general public awareness in metropolitan urban areas. The novelty of this study lies in examining whether perceptions regarding air pollution and the urban environment differ based on specific demographic characteristics such as age and dwelling place in a provincial city of Greece. Thus, a quantitative cross-sectional research approach was employed, resulting in the collection of 659 valid questionnaires from residents in the wider area of Volos city. To analyze the data, one-way ANOVA was applied to reveal differences in perceptions of air pollution and its effects on urban well-being. The results indicate that perceptions vary by age, particularly concerning the effects of air pollution on the natural environment. Participants acknowledge that air pollution levels differ across cities of various sizes and recognize the adverse effects of pollution on the overall well-being of urban areas. Furthermore, our analysis reveals significant differences in perceptions between urban and rural residents. Particularly, people living in the city tend to report higher awareness of air pollution levels compared to those in the countryside, highlighting the need for targeted interventions tailored to specific communities. Overall, this study underscores the importance of understanding demographic influences on perceptions of air quality, which can inform policymaking and public health initiatives aimed at improving air quality and mitigating health risks in urban settings.

DIURNAL EFFECT OF PM10 AND NOX ON CHRONIC OBSTRUCTIVE PULMONARY DISEASE AND ASTHMA IN ABUJA NIGERIA

Introduction: Air pollution is emerging as a crucial risk factor for respiratory health problems like Chronic Obstructive Pulmonary Disease (COPD) and asthma in developing countries, including Nigeria where air pollutant concentrations are elevated. In these countries, urban and peri-urban areas like Abuja bear the bulk of the problem. Nevertheless, data on the health effects of air pollution and pollutants are limited. This study aimed to critically examine the health effects of particulate matter less than 10 μg/m3 (PM10), and nitrogen dioxide (NO2) in Abuja FTC, Nigeria. Methodology: The diurnal effect of PM10, and NO2 concentrations was used to examine COPD and asthma patients due to exposure to these pollutants from November 2015 to December 2018. PM10 and NO2 air concentrations were monitored by the Nigerian Metrological Agency throughout the study. The 402 participants recruited were part of a major study which examined the effect of photochemical smog on COPD and asthma patients. For this study, participants completed the Medical Research Council (MRC) dyspnoea questionnaire; lung function tests was performed to determine the airway obstructive level in association with the pollutant at varying concentrations. Results: The 24-hour mean of PM10 was 296.7µg/m3, and the NO2 1-hour mean was 253.1µg/m3, which are both higher than the WHO set thresholds. The diurnal variation of PM10 varied from an average of 149.5µg/m3 in the morning to 345.3µg/m3 during the afternoon (dry season) and 108.5µg/m3 to 250.4µg/m3 (wet season). The PM10 increase was significantly associated with decreased forced expiration volume (FEV)1 and forced vital capacity (FVC) in the participants (-786, P=.000); with a moderate significant association between NOx and FVC (-.582, P= .018). A significant association was also observed between PM10 with Dyspnoea (-.786, P=.000). When we stratified for gender, it was observed that women had a higher significance P=.001 and for every 10 μg/m3 increase in NO2 and PM10 concentration above the WHO recommended 24hr thresholds, the relative risk for developing respiratory symptoms was 1.09 (95% CI: 1.07 to 1.05) and 1.06 (95% CI: 1.01 to 1.10), respectively. Conclusion/Recommendation: There is high level of pollutant concentration with strong association with COPD and asthma symptoms in FCT Abuja. Immediate policies and actions are needed to reduce pollutants from various sources including from transport and energy manufacturing facilities.

The impact of transient air pollution exposure on worker performance in Chinese soccer players

Using a unique dataset on the performance of soccer players in China (retrieved from 632 matches involving 24 teams during the 2014 to 2016 seasons), we investigate the effect of air pollution on different performance indicators that rely on different mixtures of the physical and cognitive inputs of players. To ensure a causal interpretation, we implement an instrumental variable (IV) approach using thermal inversion as the instrument for air pollution. We found that players’ performance indicators, especially those more related to cognitive factors, are more strongly influenced by air pollution. One standard deviation (SD) increase in the Air Quality Index (AQI) leads to 2.5% decrease in the number of players’ passes and 5.1% increase in the number of fouls. However, for performance indicators that are more related to players’ physical condition, e.g., running distances, no such significant impact is identified. Overall, these findings suggest that the negative impact of short-term air pollution exposure on outdoor worker performance is mainly cognitive, which we believe could lead to important policy implications, not only for competitive sports but also across a much broader spectrum of business sectors.

Causal Effects of Air Pollution, Noise, and Shift Work on Unstable Angina and Myocardial Infarction: A Mendelian Randomization Study.

Cardiovascular disease continues to be a major contributor to global morbidity and mortality, with environmental and occupational factors such as air pollution, noise, and shift work increasingly recognized as potential contributors. Using a two-sample Mendelian randomization (MR) approach, this study investigates the causal relationships of these risk factors with the risks of unstable angina (UA) and myocardial infarction (MI). Leveraging single nucleotide polymorphisms (SNPs) as genetic instruments, a comprehensive MR study was used to assess the causal influence of four major air pollutants (PM2.5, PM10, NO2, and NOx), noise, and shift work on unstable angina and myocardial infarction. Summary statistics were derived from large genome-wide association studies (GWASs) from the UK Biobank and the FinnGen consortium (Helsinki, Finland), with replication using an independent GWAS data source for myocardial infarction. The inverse-variance weighted (IVW) approach demonstrated a significant positive correlation between shift work and the increased risk of both unstable angina (OR with 95% CI: 1.62 [1.12-2.33], p = 0.010) and myocardial infarction (OR with 95% CI: 1.46 [1.00-2.14], p = 0.052). MR-PRESSO analysis identified outliers, and after correction, the association between shift work and myocardial infarction strengthened (OR with 95% CI: 1.58 [1.11-2.27], p = 0.017). No notable causal associations were identified for air pollution or noise with either outcome. The replication of myocardial infarction findings using independent data supported a possible causal link between shift work and myocardial infarction (OR with 95% CI: 1.41 [1.08-1.84], p = 0.012). These results provide novel evidence supporting shift work as a likely causal risk factor for unstable angina and myocardial infarction, underscoring the need for targeted public health strategies to mitigate its cardiovascular impact. However, further investigation is necessary to elucidate the role of air pollution and noise in cardiovascular outcomes.

Effects of air pollution on ascorbic acid content in the leaves of some woody plants

The urban environment poses significant stress and pollution challenges for plants. To assess how plants tolerate these conditions, various physiological and biochemical indicators, including antioxidant compounds like ascorbic acid, are examined. In this study, we investigated the impact of environmental pollution on the ascorbic acid content of plants in such environments.We compared the levels of ascorbic acid in the leaves of 9 species (Larix sibirica Ldb., Padus asiatica Kom., Picea obovata Ldb., Spiraea media F. Schmidt., Armeniaca sibirica Lam., Rosa acicularis Lindl., Salix tenufolia L., Potentilla fruticosa L., Ulmus pumila L.) of woody plants growing in polluted areas along the highway of Ulaanbaatar city and the Shar Khooloin am in Gachuurt area where environment is unpolluted. Minimal changes in ascorbic acid content were observed in L.sibirica and P.obovata species between polluted and unpolluted environments, contrasting with significant variations in U.pumila. Furthermore, the analysis across all 9 woody plant species indicated distinct differences in ascorbic acid content in response to environmental conditions (t (124)=3.5; P&lt;0.001). These results strongly support the notion that environmental pollution impacts ascorbic acid levels in plants. Зарим модлог ургамлын навчны аскорбины хүчлийн агууламжид агаарын бохирдлын үзүүлэх нөлөө Хураангуй. Хот суурин газрын орчин нь ургамлын хувьд орчны бохирдол, стрессийн нөхцөл болдог. Эдгээрийг ургамал хэрхэн тэсвэрлэж байгааг физиологи, биохимийн хэд хэдэн үзүүлэлтээр үнэлдэг ба үүнд антиоксидант олон нэгдлийг ашигладагийн нэг нь аскорбины хүчил юм. Бид тухайн орчинд ургах ургамлын аскорбины хүчлийн агууламжинд орчны бохирдлын үзүүлэх нөлөөллийг тогтоох зорилгоор энэхүү судалгааны ажлыг хийж гүйцэтгэсэн. Үүний тулд Улаанбаатар хотын авто зам дагуух бохирдолтой орчин болон Гачууртын Шар хоолойн ам буюу бохирдолгүй орчинд ургах 9 зүйл (Larix sibirica Ldb., Padus asiatica Kom., Picea obovata Ldb., Spiraea media F. Schmidt., Armeniaca sibirica Lam., Rosa acicularis Lindl., Salix Schwerinii E.Wolf., Potentilla fruticosa L., Ulmus pumila L.) модлог ургамлын навчны аскорбины хүчлийн агууламжийг харьцуулан тодорхойллоо. Бохирдолтой болон бохирдолгүй орчинд ургах ургамлын аскорбины хүчлийн агууламжийн өөрчлөлт L. sibirica, P. obovata зүйлүүдэд бага байсан бол U. pumila-д өөрчлөлт их байхаас гадна судалгаанд хамрагдсан 9 зүйл модлог ургамлын хувьд аскорбины хүчлийн агууламж эдгээр орчинд ялгаатай (p&lt;0.001) байгаа тул орчны бохирдол аскорбины хүчлийн агууламжид нөлөөлж байна гэж үзлээ. Түлхүүр үг: Аскорбины хүчил, навч, агаарын бохирдол