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Introduction: COVID-19 pandemic has highlighted the role of aerosol transmission and the importance of superspreading events. We analyzed a choir rehearsal in November 2020, where all participants, except one who had recently earlier recovered from COVID-19, were infected. We explore the risk factors for severe disease in this event and model the aerosol dispersion in the rehearsal room. Materials and methods: Characteristics of participants were collected by interviews and supplemented with patient records. A computational simulation of aerosol distribution in the rehearsal room and the efficacy of potential safety measures was conducted using the Large-Eddy Simulation approach. Infection risk was studied by analyzing quanta emission and exposure with the Wells-Riley equation. Results: The simulation showed that airborne transmission likely explains this mass contagion event. Every singer was exposed to the virus in only 5 min from the beginning of the rehearsal, and maximum concentration levels were reached at 20 min the concentration levels started to approach a steady state after 20 min. Although concentration differences existed in the room, risk levels near (1 m) and far (5 m) from the aerosol source were similar for certain singers. Modeling indicated infection risk levels of 70–100% after one hour; the risk would have been considerably reduced by wearing high-filtration respirators. Age and pre-existing comorbidities predicted more severe disease. The high incidence of illness may be partly attributed to the relatively high median age of individuals. Additionally, those admitted to the hospital had multiple underlying health conditions that predispose them to more severe disease. Conclusions: Airborne transmission and indoor space can explain this mass exposure event. High-filtration respirators could have prevented some infections. The importance of safety distances diminishes the longer the indoor event. The concept of safety distance is challenging, as our study suggests that long range airborne transmission may occur in indoor events with extended duration. We encourage informing the public, especially persons at risk, of safety measures during epidemics. [ABSTRACT FROM AUTHOR]

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How low can you reduce the carbon footprint associated with an index-based portfolio without creating unacceptable levels of active risk versus a capitalization-weighted benchmark? We find that an investor may be able to reduce the carbon footprint of a typical index-based portfolio by more than 50%, while keeping active risk low, near 1% tracking error volatility. This involves investing in companies with low greenhouse gas (GHG) emissions and reducing exposure to companies with high emissions. The intensity of emissions per unit of revenue is a particularly helpful metric. Portfolio screening is an effective approach that removes emissions-intensive companies from an index, but can create unintended sector, industry, country, and factor exposures in the portfolio. Using an integrated portfolio optimization approach to minimize carbon intensity, we can explicitly constrain multiple risk dimensions. Another approach we explore is a two-step process: 1) apply a screen to invest only in lower carbon-intensity stocks, then 2) optimize the portfolio by minimizing tracking error versus the index. We study the effects of constraints on the optimization problem and find that loosening sector and industry constraints enables a greater reduction in carbon emissions, without a significant increase in overall active risk. Specifically, underweights to utilities, energy, and materials allow for a greater reduction in carbon emissions. [ABSTRACT FROM AUTHOR]

This study assessed workers' exposure to vehicle exhaust emissions and its health effects at the Lebombo Port of Entry. A quantitative cross-sectional design was adopted, and a structured questionnaire was administered on 209 adult workers to measure their knowledge on vehicle exhaust emissions exposures. Air samples were also collected from the participants using air sampling pumps. Data were analyzed using Statistical Package for Social Sciences, version 27. Logistic regression was performed to examine the association between dependent variables and some sociodemographic factors. Vocational certificates and associate degrees were attributed to workers in the South African Police Services and those in Agriculture: (Odds Ratio) = 2.83%, Confidence Interval (1.41–5.65) and (Odds Ratio) = 4.58%, Confidence Interval (2.10–9.99), respectively. Divorced males had a high level of knowledge and awareness of vehicle exhaust emission and their health effects: (Adjusted Odds Ratio) = 5.31%, Confidence Interval (1.08–26.14). Males had better knowledge of vehicle exhaust emission with carcinogenic effects: (Adjusted Odds Ratio) = 3.28%, Confidence Interval (1.11–9.67). Having an associate's degree as the highest level of education and irritation of nose and eyes were associated with lower awareness of vehicle exhaust emissions: (Adjusted Odds Ratio) = 0.42%, Confidence Interval (0.19–0.97) and (Adjusted Odds Ratio) = 0.31%, Confidence Interval (0.13–0.76), respectively. The diesel particulate matter concentration was higher during day shifts (0.027 mg/m3) compared to night shifts (0.021 mg/m3), p = 0.001. Seventy-one workers (34%) reported experiencing acute headaches often, and fewer workers (n = 31, 14.8%) reported to have never suffered from an acute headache. A majority of workers (71 (34%)) experienced acute irritation of nose and eyes often compared to a few (33 (16%)) workers who experienced the same less often. In addition, a majority of workers (84 (40.2%)) experienced acute fatigue and nausea often, while fewer workers (37 (17.7%)) experienced fatigue and nausea very often. The majority of workers (n = 116, 55.5%) suffered cough and sneezing more often compared to others. There is an urgent need for improved and effective controls to reduce workers' exposure to vehicle exhaust emissions. [ABSTRACT FROM AUTHOR]

Three-dimensional (3D) printing with polycarbonate (PC) plastic occurs in manufacturing settings, homes, and schools. Emissions generated during printing with PC stock and bisphenol-A (BPA), an endocrine disrupter in PC, may induce adverse health effects. Inhalation of 3D printer emissions, and changes in endocrine function may lead to cardiovascular dysfunction. The goal of this study was to determine whether there were any changes in markers of peripheral or cardiovascular dysfunction in animals exposed to PC-emissions. Male Sprague Dawley rats were exposed to PC-emissions generated by 3D printing for 1, 4, 8, 15 or 30 d. Exposure induced a reduction in the expression of the antioxidant catalase (Cat) and endothelial nitric oxide synthase (eNos). Endothelin and hypoxia-induced factor 1α transcripts increased after 30 d. Alterations in transcription were associated with elevations in immunostaining for estrogen and androgen receptors, nitrotyrosine, and vascular endothelial growth factor in cardiac arteries of PC-emission exposed animals. There was also a reduction eNOS immunostaining in cardiac arteries from rats exposed to PC-emissions. Histological analyses of heart sections revealed that exposure to PC-emissions resulted in vasoconstriction of cardiac arteries and thickening of the vascular smooth muscle wall, suggesting there was a prolonged vasoconstriction. These findings are consistent with studies showing that inhalation 3D-printer emissions affect cardiovascular function. Although BPA levels in animals were relatively low, exposure-induced changes in immunostaining for estrogen and androgen receptors in cardiac arteries suggest that changes in the action of steroid hormones may have contributed to the alterations in morphology and markers of cardiac function. [ABSTRACT FROM AUTHOR]

We examine how environmental pressure influences board gender diversity. Drawing from resource dependence, strategic adaptation, and gender socialization theories, we develop and test the prediction that firms with worse environmental performance have a higher likelihood of increasing their board gender diversity following a rise in environmental pressure. Focusing on the third phase (2013–2019) of the European Union Emission Trading System (EU ETS), we exploit the unexpected increase in emission prices after the European Council's (EC) intervention in 2017 as a quasi‐natural experiment bringing heightened environmental pressure to firms. Our baseline sample consists of 182 polluting firms in 20 different EU ETS‐covered countries. In line with our main hypothesis, we find that board gender diversity increases with firms' industry‐adjusted levels of pollution in the post‐EC intervention period, with the effect being particularly pronounced for firms with a higher exposure to emission prices and lower diversity levels. Inconsistent with a window dressing explanation, highly polluting firms replace incumbent male board members with highly qualified women. Our findings, which survive several robustness tests, suggest that more stringent environmental regulation drives social and governance changes at top corporate levels. [ABSTRACT FROM AUTHOR]

The emission of ultrafine particles from small desktop Fused Filament Fabrication (FFF) 3D printers has been frequently investigated in the past years. However, the vast majority of FFF emission and exposure studies have not considered the possible occurrence of particles below the typical detection limit of Condensation Particle Counters and could have systematically underestimated the total particle emission as well as the related exposure risks. Therefore, we comparatively measured particle number concentrations and size distributions of sub-4 nm particles with two commercially available diethylene glycol-based instruments – the TSI 3757 Nano Enhancer and the Airmodus A10 Particle Size Magnifier. Both instruments were evaluated for their suitability of measuring FFF-3D printing emissions in the sub-4 nm size range while operated as a particle counter or as a particle size spectrometer. For particle counting, both instruments match best when the Airmodus system was adjusted to a cut-off of 1.5 nm. For size spectroscopy, both instruments show limitations due to either the fast dynamics or rather low levels of particle emissions from FFF-3D printing in this range. The effects are discussed in detail in this article. The findings could be used to implement sub-4 nm particle measurement in future emission or exposure studies, but also for the development of standard test protocols for FFF-3D printing emissions. [ABSTRACT FROM AUTHOR]

Airborne particulate matter (PM) is of great concern in the modern-day atmosphere owing to its association with a variety of health impacts, such as respiratory and cardiovascular diseases. Of the various size fractions of PM, it is the finer fractions that are most harmful to health, in particular ultrafine particles (PM0.1; UFPs), with an aerodynamic diameter ≤ 100 nm. The smaller size fractions, of ≤2.5 µm (PM2.5; fine particles) and ≤0.1 µm (PM0.1; ultrafine particles), have been shown to have numerous linkages to negative health effects; however, their collection/sampling remains challenging. This review paper employed a comprehensive literature review methodology; 200 studies were evaluated based on the rigor of their methodologies, including the validity of experimental designs, data collection methods, and statistical analyses. Studies with robust methodologies were prioritised for inclusion. This review paper critically assesses the health risks associated with fine and ultrafine particles, highlighting vehicular emissions as the most significant source of particulate-related health effects. While coal combustion, diesel exhaust, household wood combustors' emissions, and Earth's crust dust also pose health risks, evidence suggests that exposure to particulates from vehicular emissions has the greatest impact on human health due to their widespread distribution and contribution to air pollution-related diseases. This article comprehensively examines current sampling technologies, specifically focusing on the collection and sampling of ultrafine particles (UFP) from ambient air to facilitate toxicological and physiochemical characterisation efforts. This article discusses diverse approaches to collect fine and ultrafine particulates, along with experimental endeavours to assess ultrafine particle concentrations across various microenvironments. Following meticulous evaluation of sampling techniques, high-volume air samplers such as the Chem Vol Model 2400 High Volume Cascade Impactor and low-volume samplers like the Personal Cascade Impactor Sampler (PCIS) emerge as effective methods. These techniques offer advantages in particle size fractionation, collection efficiency, and adaptability to different sampling environments, positioning them as valuable tools for precise characterisation of particulate matter in air quality research and environmental monitoring. [ABSTRACT FROM AUTHOR]

We study the empirical association between corporate pollution and reputational exposure using a sample of 745 U.S. firms from 2007 to 2019 and an ordered probit model. Our results reveal an inverse relationship between chemical emissions and reputational exposure rating, after controlling for various firm attributes. We examine the roles of corporate governance structure and the demographic background of the top management team in the transmission process from polluting chemical emissions to reputation. Further, the negative impact of corporate pollution on reputational exposure rating is much stronger in areas where residents are convinced that climate change is happening. We perform several tests and analyses designed to mitigate endogeneity issues and correct sample bias to ensure the robustness of our findings. Finally, our results suggest that the negative effect is stronger for companies with higher information asymmetry, which indicates the importance of information transparency for firms' credibility. [ABSTRACT FROM AUTHOR]

Environmental justice research has focused on the distribution of environmental inequalities, such as proximity to landfills, across the U.S. and globally. Background: Public health research and environmental health research, specifically, have focused on toxic exposure—encompassing individuals or communities that are disproportionately exposed to contaminants that are harmful or potentially harmful to them. Yet, little research has applied critical environmental justice theory—characterized by the idea that marginalized communities need to be treated as indispensable rather than disposable—to the study of toxic exposure. To fill this gap, the current paper offers a case study approach applying critical environmental justice theory to the study of disproportionate and unequal exposure to toxic contaminants. Methods: This case study is of Kettleman City, a rural, unincorporated community in the heart of California's Central Valley (USA). This community experiences the co-location of environmental hazards, including residing at the intersection of two major highways and hosting a class I hazardous-waste landfill, which is one of the few licensed to accept PCBs. PCBs are a contaminant that has been linked with several adverse health outcomes, including cancers and low birthweight. Residents may also experience poor air quality from proximity to the highways. Results: This case highlights the uneven distribution of pollution and environmental degradation that may be shouldered by the community, along with their experiences of adverse health and social impacts. This analysis reveals the importance of incorporating a critical environmental justice perspective to unpack experiences of not only disproportionate exposure but also disproportionate procedural and recognitional inequality. Conclusions: This research highlights the untapped potential of environmental justice to catalyze exposure science in challenging the unequal distribution of contaminants. [ABSTRACT FROM AUTHOR]

The utilization of solid fuels remains a significant contributor to air pollution, with well-documented adverse health consequences. In rural regions, the prevalence of solid fuel use for heating and cooking plays a pivotal role in shaping local air quality. This study focuses on evaluating personal exposure to gaseous pollutants originating from restaurants situated in Karunya Nagar, Coimbatore, Tamil Nadu, India. The study design considers establishments that use distinct energy sources, with a particular emphasis on those employing wood and liquefied petroleum gas. We measure the concentration of various pollutants, including particulate matter (PM1, PM2.5, PM10), carbon dioxide, formaldehyde, and total volatile organic carbon, utilizing advanced sensor technology. The levels of these pollutants are influenced by various factors, such as ventilation, chimney placement, stove type, fuel selection, time of exposure, frequency of exposure, and toxicity. Notably, our findings reveal that restaurants using wood as a cooking fuel tend to release higher quantities of gaseous pollutants compared to those employing liquefied petroleum gas. In addition to quantitative measurements, we employ comprehensive chemical characterization techniques, including scanning electron microscopy, X-ray diffraction analysis, energy dispersive X-ray analysis, and Fourier transform infrared spectroscopy, to delineate the morphology, chemical composition, and other essential properties of the emitted particulate matter. Our study sheds light on the potential health repercussions faced by rural residents who heavily rely on solid domestic fuels. The insights derived from this research not only contribute to the reduction of air pollution exposure but also facilitate the development of exposure assessment models for forthcoming epidemiological investigations. This aligns with the broader objectives of Sustainable Development Goals and seeks to enhance the well-being of women in rural Southern India. [ABSTRACT FROM AUTHOR]

Formulation of the problem. The transition from territorial-administrative to basin-based water resources management in Ukraine requires an assessment of the load of water bodies with pollutants from diffuse and point sources. Among the various components of the chemical composition of water entering water bodies, organic matter and nutrients are the most important. The Danube is the second largest river in Europe, with a basin covering the territories of 19 countries and is an important transportation waterway. Within Ukraine, the Danube is divided into the Lower Danube sub-catchment and the Tisza, Prut, and Siret River basins within the Carpathian region. The scientific results presented in this paper were obtained during research within the framework of state budgetary research works of the UHMI, the implementation of which will contribute to the further development of knowledge in the field of hydrometeorology. The results presented in the publication are important for supplementing information when writing the Danube River Basin Management Plan, which is being developed in accordance with Ukraine's obligations under the Association Agreement with the European Union. Aim of the study. To calculate the supply of nutrients and organic matter from diffuse sources to the rivers of the Danube basin within the Ukrainian Carpathians. Methods. Monitoring data of organic substances and nutrients provided by the Danube Hydrometeorological Observatory (the state surface water monitoring network of the State Emergency Service of Ukraine) for 2018 were used for calculations. To assess the load of water bodies by diffuse sources, a conceptual scheme was developed that allowed to take into account the main pathways of substances supply, i.e precipitation; water runoff from arable land, forests, meadows and pastures, built-up areas, rock outcrops, as well as from the population of rural regions without sewage systems. Scientific novelty. For the first time: - the load of nutrients and organic matter in the Danube rivers within the Ukrainian Carpathians by the sources of their income was evaluated; - it was found that agricultural land is the main source of emissions of inorganic nitrogen and phosphorus compounds. Practical value. The analysis of the diffuse load by nutrients and organic matter in the Danube rivers can be used as an important part of the River Basin Management Plan. The results of the calculations can also be used to develop measures to achieve certain environmental objectives. Results. The main source of organic matter in the water of rivers of the Carpathian region ere agricultural enterprises locating within rural settlements that are not equipped with sewage systems. Surface water of Prut and Tisza River basins is the most polluted by organic matter. By source, the nutrient emissions are distributed as follows. For the Tisza and Prut rivers, more than 50% of the total nitrogen compounds emissions come from agricultural land, while for the Siret River the source of nitrogen compounds are forests (46% of the total nitrogen emissions). Accordingly, the total phosphorus runoff for the Tisza and Prut rivers was distributed as follows: the dominant share (up to 45%) comes from agricultural land, the load caused by population not connected to the sewerage systems is 36%. For the Siret River, agricultural land and forested areas are of equal shares (33%) among the sources of phosphorus compounds. [ABSTRACT FROM AUTHOR]

Three-dimensional (3D) printer usage in household and school settings has raised health concerns regarding chemical and particle emission exposures during operation. Although the composition of 3D printer emissions varies depending on printer settings and materials, little is known about the impact that emissions from different filament types may have on respiratory health and underlying cellular mechanisms. In this study, we used an in vitro exposure chamber system to deliver emissions from two popular 3D-printing filament types, acrylonitrile butadiene styrene (ABS) and polylactic acid (PLA), directly to human small airway epithelial cells (SAEC) cultured in an air–liquid interface during 3D printer operation. Using a scanning mobility particle sizer (SMPS) and an optical particle sizer (OPS), we monitored 3D printer particulate matter (PM) emissions in terms of their particle size distribution, concentrations, and calculated deposited doses. Elemental composition of ABS and PLA emissions was assessed using scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDX). Finally, we compared the effects of emission exposure on cell viability, inflammation, and metabolism in SAEC. Our results reveal that, although ABS filaments emitted a higher total concentration of particles and PLA filaments emitted a higher concentration of smaller particles, SAEC were exposed to similar deposited doses of particles for each filament type. Conversely, ABS and PLA emissions had distinct elemental compositions, which were likely responsible for differential effects on SAEC viability, oxidative stress, release of inflammatory mediators, and changes in cellular metabolism. Specifically, while ABS- and PLA-emitted particles both reduced cellular viability and total glutathione levels in SAEC, ABS emissions had a significantly greater effect on glutathione relative to PLA emissions. Additionally, pro-inflammatory cytokines including IL-1β, MMP-9, and RANTES were significantly increased due to ABS emissions exposure. While IL-6 and IL-8 were stimulated in both exposure scenarios, VEGF was exclusively increased due to PLA emissions exposures. Notably, ABS emissions induced metabolic perturbation on amino acids and energy metabolism, as well as redox-regulated pathways including arginine, methionine, cysteine, and vitamin B3 metabolism, whereas PLA emissions exposures caused fatty acid and carnitine dysregulation. Taken together, these results advance our mechanistic understanding of 3D-printer-emissions-induced respiratory toxicity and highlight the role that filament emission properties may play in mediating different respiratory outcomes. [ABSTRACT FROM AUTHOR]

Background: Evidence on the relationship between air pollution and allergic sensitisation in childhood is inconsistent, and this relationship has not been investigated in the context of smoke events that are predicted to increase with climate change. Thus, we aimed to evaluate associations between exposure in two early life periods to severe levels of particulate matter with an aerodynamic diameter < 2.5 μm (PM2.5) from a mine fire, background PM2.5, and allergic sensitisation later in childhood. Methods: We measured specific immunoglobulin E (IgE) levels for seven common aeroallergens as well as total IgE levels in a cohort of children who had been exposed to the Hazelwood coal mine fire, either in utero or during their first two years of life, in a regional area of Australia where ambient levels of PM2.5 are generally low. We estimated personal exposure to fire-specific emissions of PM2.5 based on a high-resolution meteorological and pollutant dispersion model and detailed reported movements of pregnant mothers and young children during the fire. We also estimated the usual background exposure to PM2.5 at the residential address at birth using a national satellite-based land-use regression model. Associations between both sources of PM2.5 and sensitisation to dust, cat, fungi, and grass seven years after the fire were estimated with logistic regression, while associations with total IgE levels were estimated with linear regression. Results: No association was found between the levels of exposure at either developmental stage to fire-related PM2.5 and allergic sensitisation seven years after the event. However, levels of background exposure were positively associated with sensitisation to dust (OR = 1.90, 95%CI = 1.12,3.21 per 1 μg/m3). Conclusions: Chronic but low exposure to PM2.5 in early life could be more strongly associated with allergic sensitisation in childhood than time-limited high exposure levels, such as the ones experienced during landscape fires. [ABSTRACT FROM AUTHOR]

Exposure to fine particulate matter (PM2.5) is an important contributor to global human disease burden, particularly indoors where people spend the majority of their time and exposure is highest. We propose a framework linking indoor PM2.5 emissions from human activities to exposure and health impacts, expressed in Disability-Adjusted Life Years (DALY). Derived dynamic indoor PM2.5 concentrations—capturing temporal variations through different window-opening scenarios and air renewal rates—are used to estimate uncertainty for a parametric model (up to a factor of 114). Intake fractions (fraction of emitted substance taken in (μgintake/μgemitted)), effect factors (μDALY/μgintake), related impact characterisation factors (health impact per unit mass emitted (μDALY/μgemitted)), and impact scores (health impact per hour activity (μDALY/hactivity)) are provided for 19 one-hour indoor activities and can be flexibly scaled to real activity durations. Indoor concentrations exceeded recommended World Health Organization (WHO) limits for all activities at low ventilation rates. Per person, 98 to 119 μDALY/hactivity (52 to 63 minuteslost/hactivity) was associated with traditional fuel cook stoves, with high air renewal rates (3 and 14 h-1). The burning of candles, at low air renewal rates of 0.2 to 0.6 h-1, results in 7 to 11 μDALY/hactivity (4 to 11 minuteslost/hactivity). Derived impact scores and characterisation factors serve as a starting point for integrating indoor PM2.5 emissions and exposure into life cycle impact and public health assessments. [ABSTRACT FROM AUTHOR]

Environmental epidemiology studies require accurate estimations of exposure intensities to air pollution. The process from air pollutant emission to individual exposure is however complex and nonlinear, which poses significant modeling challenges. This study aims to develop an exposure assessment model that can strike a balance between accuracy, complexity, and usability. In this regard, neural networks offer one possible approach. This study employed a custom-designed pruned feed-forward neural network (pruned-FNN) approach to calculate the air pollution exposure index based on emission time and rates, terrain factors, meteorological conditions, and proximity measurements. The model's performance was evaluated by cross-validating the estimated exposure indexes with ground-based monitoring records. The pruned FNN can predict pollution exposure indexes (PEIs) that are highly and stably correlated with the monitored air pollutant concentrations (Spearman's rank correlation coefficients for tenfold cross-validation (mean ± standard deviation: 0.906 ± 0.028) and for random cross-validation (0.913 ± 0.024)). The predicted values are also close to the ground truth in most cases (95.5% of the predicted PEIs have relative errors smaller than 10%) when the training datasets are sufficiently large and well-covered. The pruned-FNN method can make accurate exposure estimations using a flexible number of variables and less extensive data in a less money/time-consuming manner. Compared to other exposure assessment models, the pruned FNN is an appropriate and effective approach for exposure assessment that covers a large geographic area over a long period of time. [ABSTRACT FROM AUTHOR]

Exposure to fine particulate matter (PM2.5) air pollution is associated with large‐scale health consequences, but the ranges in estimates of global air pollution exposure and PM2.5‐related global premature mortality remain understudied. Using four model/observation‐based PM2.5 data sets and six Coupled Model Intercomparison Project Phase 6 (CMIP6) climate models, we compare ranges in current PM2.5‐related mortality estimates based on model/observation combinations to the range of projected emissions reductions and the resulting impacts on global health from CMIP6 models. Although estimates of current mortality are sensitive to the PM2.5 data set (6.54–9.23 million/year using the central estimate from the Global Exposure Mortality Model), the projected near‐term benefits of emissions reductions for reduced mortality are much more certain. Specifically, until the middle of the century, uncertainty ranges in projected avoided deaths are less than the magnitude of ranges in present‐day mortality estimates, even when projected future changing socio‐demographic factors are considered. Under a low‐emissions scenario, avoided cumulative early deaths could reach 275 million (range: 243–351 million) by 2100, assuming no future socio‐demographic changes. Avoided cumulative deaths could reach 124 million (range: 74–246 million) if changing future socio‐demographic factors are considered. As the global population ages and becomes more sensitive to breathing polluted air, there will be an increasing need for policies that both reduce air pollution and improve public health. Plain Language Summary: Most people on Earth breathe polluted air. Breathing polluted air is associated with a variety of health problems, including early death. Despite the importance of breathing polluted air, global estimates of early death associated with breathing polluted air are often based on one observation‐based data set of global air pollution. Here we examine the ranges in estimates of global deaths from air pollution due to the choice of observation‐based data set. We find that estimates of recent global air pollution and associated deaths in recent years can vary substantially, depending on data set. We also use the latest climate model simulations to estimate how air pollution and associated deaths would change under a high‐emissions future and a low‐emissions future. We find that climate models agree that reducing fossil fuel emissions would lead to rapid, large‐scale reductions in the amount of polluted air people breathe, which leads to avoided future early deaths through at least the middle of the century. However, as the global population ages and becomes more sensitive to breathing polluted air, there will be an increasing need for policies that both reduce air pollution and improve public health. Key Points: Estimates of recent global air pollution exposure and associated premature deaths are sensitive to the choice of observation‐based data setThe benefits of reduced fossil fuel emissions for future global health remain relatively well‐constrained until late in the centuryUnder aggressive emissions reductions, avoided cumulative premature deaths could reach 124 million by 2100 [ABSTRACT FROM AUTHOR]

Strain engineering is an effective way to adjust the sensing properties of two-dimensional materials. In this paper, lateral heterojunctions (LHSs) based on arsenic and antimony have been designed along the armchair (AC) or zigzag (ZZ) edges. The adsorption and sensing characteristics of As/Sb LHSs to NO2 before and after applying different types of strain are calculated by first principles. The band gaps of all As/Sb heterostructures are contributed by As-p and Sb-p orbitals. In addition, the adsorption energy of As/Sb ZZ-LHS with −4% compression strain is the largest. Furthermore, its work function changes significantly before and after the adsorption of NO2. Meanwhile, strong orbital hybridizations near the Fermi level are observed and a new state is yielded after applying compressive strain. These results indicate that the As/Sb LHS with ZZ interface under −4% compression strain possesses the best sensing properties to NO2. This work lays the foundation for the fabrication of high-performance NO2 gas sensors. High-performance gas sensors can be used to track and regulate NO2 exposure and emission, as well as to track NO2 concentrations in the atmosphere and support the assessment of air quality. [ABSTRACT FROM AUTHOR]

Modulated self-assembly protocols are used to develop facile, HF-free syntheses of the archetypal flexible PCP, MIL-53(Cr), and novel isoreticular analogues MIL-53(Cr)-Br and MIL-53(Cr)-NO2. All three PCPs show good SO2 uptake (298 K, 1 bar) and high chemical stabilities against dry and wet SO2. Solid-state photoluminescence spectroscopy indicates all three PCPs exhibit turn-off sensing of SO2, in particular MIL-53(Cr)-Br, which shows a 2.7-fold decrease in emission on exposure to SO2 at room temperature, indicating potential sensing applications. [ABSTRACT FROM AUTHOR]

Polycyclic aromatic hydrocarbons (PAHs) and their derivatives have received extensive attention due to their negative effects on the environment and on human health. However, few studies have performed comprehensive assessments of PAHs emitted from pesticide factories. This study assessed the concentration, composition, and health risk of 52 PM2.5-bound PAHs during the daytime and nighttime in the vicinity of a typical pesticide factory. The total concentration of 52 PAHs (Σ52PAHs) ranged from 53.04 to 663.55 ng/m3. No significant differences were observed between daytime and nighttime PAH concentrations. The average concentrations of twenty-two parent PAHs, seven alkylated PAHs, ten oxygenated PAHs, and twelve nitrated PAHs were 112.55 ± 89.69, 18.05 ± 13.76, 66.13 ± 54.79, and 3.90 ± 2.24 ng/m3, respectively. A higher proportion of high-molecular-weight (4–5 rings) PAHs than low-molecular-weight (2–3 rings) PAHs was observed. This was likely due to the high-temperature combustion of fuels. Analysis of diagnostic ratios indicated that the PAHs were likely derived from coal combustion and mixed sources. The total carcinogenic equivalent toxicity ranged from 15.93 to 181.27 ng/m3. The incremental lifetime cancer risk from inhalation, ingestion, and dermal contact with the PAHs was 2.33 × 10−3 for men and 2.53 × 10−3 for women, and the loss of life expectancy due to the PAHs was 11,915 min (about 0.023 year) for men and 12,952 min (about 0.025 year) for women. These results suggest that long-term exposure to PM2.5 emissions from a pesticide factory has significant adverse effects on health. The study results support implementing the characterization of PAH emissions from pesticide factories and provides a scientific basis for optimizing the living environment around pesticide factories. [ABSTRACT FROM AUTHOR]

Specifically, The following Fig 4B panels appear similar: CDC42 biosensors WB FC-Rho, CDC42 biosensors CoIP FN-WASP when rotated 180°, and RhoA biosensors CoIP FN-PAK when flipped horizontally The following Fig 4B panels appear to partially overlap with one another: Rac1 biosensors WB FC-Rho, RhoA biosensors WB FC-Rho, and RhoA biosensors WB GAPDH when rotated 180° The following Fig 6A panels appear similar: Active RhoA, active Rac1, and active CDC42 when rotated 180° and vertically compressed The corresponding author commented that errors were made during figure preparation, due to the similarities in bands and overall underlying images. The corresponding author also clarified that during their post-publication review of the data, they noticed that the following published panels were also incorrect: Fig 4B CDC42 biosensors WB FN-WASP Fig 4B Rac1 biosensors CoIP FN-PKN Fig 4B RhoA biosensors WB FN-PAK Graph: Fig 4 The application of BiLC strategy to image the three main members of Rho GTPases.The results of optical imaging of three kinds of BiLC RhoGTPase biosensors. Graph: Fig 6 The sensitivity analysis of BiLC Rho GTPase sensors to extracellular ligands.(A) The temporal response of BiLC Rho GTPase sensors stimulated by extracellular ligands. [Extracted from the article]

Little is known regarding the amount of hydrogen sulfide (H2S) emitted during refinery process under different management systems. Therefore, two refinery fields were investigated to explain their H2S emission, as they were managed using non-standardized and standardized protocols. In addition, three units of standardized refinery were investigated to correlate the amount of emitted H2S with oil quality. Both of non-standardized and standardized oil refineries emitted H2S, but the former contributed more; in fact, it was orders of magnitude higher. At non-standardized and standardized oil refineries, the highest concentration of H2S measured was 35.6 ± 2.4 and 2.6 ± 0.3 mg/m3, respectively, and the concentrations steadily declined with the distance from the refinery subunits until it was not detected at 550 and 130 m, respectively. In addition, refinery subunits: distillation tower, flare gas, and storage tank, emitted H2S, but the former was the dominant source. The crude oil quality affected H2S concentration in the air, the higher sulfur content the more H2S released. Furthermore, there was diurnal pattern of H2S concentrations, with higher H2S emitted during nighttime than the daytime. This study demonstrates that H2S emitted into atmosphere, and it most likely affects refinery workers health, surrounding area, and this can lead to further environmental consequences. [ABSTRACT FROM AUTHOR]

Cured-in-place pipe (CIPP) technology is increasingly being utilized to repair aging and damaged pipes, however, there are concerns associated with the public health hazards of emissions. CIPP installation involves the manufacture of a new plastic composite pipe at the worksite and includes multiple variable components including resin material, curing methods, and operational conditions. We hypothesize styrene-based composite manufacturing emissions (CMEs) will induce greater pulmonary inflammatory responses and oxidative stress, as well as neurological toxicity compared with nonstyrene CMEs. Further, these CME-toxicological responses will be sex- and time-dependent. To test the hypothesis, representative CMEs were generated using a laboratory curing chamber and characterized using thermal desorption-gas chromatography-mass spectrometry and photoionization detector. Styrene was released during staying, isothermal curing, and cooling phases of the process and peaked during the cooling phase. Male and female C57BL6/J mice were utilized to examine alterations in pulmonary responses and neurotoxicity 1 day and 7 days following exposure to air (controls), nonstyrene-CMEs, or styrene-CMEs. Serum styrene metabolites were increased in mice exposed to styrene-CMEs. Metabolic and lipid profiling revealed alterations related to CIPP emissions that were resin-, time-, and sex-dependent. Exposure to styrene-CMEs resulted in an influx of lymphocytes in both sexes. Expression of inflammatory and oxidative stress markers, including Tnfα, Vcam1, Ccl2, Cxcl2 , Il6 , Cxcl1 , Tgfβ1 , Tgmt2 , and Hmox1 , displayed alterations following exposure to emissions. These changes in pulmonary and neurological markers of toxicity were dependent on resin type, sex, and time. Overall, this study demonstrates resin-specific differences in representative CMEs and alterations in toxicity endpoints, which can potentially inform safer utilization of composite manufacturing processes. [ABSTRACT FROM AUTHOR]

Average ambient concentrations of nitrogen dioxide (NO2), an important air pollutant, have declined in the United States since the enactment of the Clean Air Act. Despite evidence that NO2 disproportionately affects racial/ethnic minority groups, it remains unclear what drives the exposure disparities and how they have changed over time. Here, we provide evidence by integrating high-resolution (1 km × 1 km) ground-level NO2 estimates, sociodemographic information, and source-specific emission intensity and location for 217,740 block groups across the contiguous United States from 2000 to 2016. We show that racial/ethnic minorities are disproportionately exposed to higher levels of NO2 pollution compared with Whites across the United States and within major metropolitan areas. These inequities persisted over time and have worsened in many cases, despite a significant decrease in the national average NO2 concentration over the 17-y study period. Overall, traffic contributes the largest fraction of NO2 disparity. Contributions of other emission sources to exposure disparities vary by location. Our analyses offer insights into policies aimed at reducing air pollution exposure disparities among races/ethnicities and locations. [ABSTRACT FROM AUTHOR]

Nitrogen dioxide (NO 2) air pollution provides valuable information for quantifying NO x (NO x = NO + NO 2) emissions and exposures. This study presents a comprehensive method to estimate average tropospheric NO 2 emission strengths derived from 4-year (May 2018–June 2022) TROPOspheric Monitoring Instrument (TROPOMI) observations by combining a wind-assigned anomaly approach and a machine learning (ML) method, the so-called gradient descent algorithm. This combined approach is firstly applied to the Saudi Arabian capital city of Riyadh, as a test site, and yields a total emission rate of 1.09×1026 molec. s -1. The ML-trained anomalies fit very well with the wind-assigned anomalies, with an R2 value of 1.0 and a slope of 0.99. Hotspots of NO 2 emissions are apparent at several sites: over a cement plant and power plants as well as over areas along highways. Using the same approach, an emission rate of 1.99×1025 molec. s -1 is estimated in the Madrid metropolitan area, Spain. Both the estimate and spatial pattern are comparable with the Copernicus Atmosphere Monitoring Service (CAMS) inventory. Weekly variations in NO 2 emission are highly related to anthropogenic activities, such as the transport sector. The NO 2 emissions were reduced by 16 % at weekends in Riyadh, and high reductions were found near the city center and in areas along the highway. An average weekend reduction estimate of 28 % was found in Madrid. The regions with dominant sources are located in the east of Madrid, where residential areas and the Madrid-Barajas airport are located. Additionally, due to the COVID-19 lockdowns, the NO 2 emissions decreased by 21 % in March–June 2020 in Riyadh compared with the same period in 2019. A much higher reduction (62 %) is estimated for Madrid, where a very strict lockdown policy was implemented. The high emission strengths during lockdown only persist in the residential areas, and they cover smaller areas on weekdays compared with weekends. The spatial patterns of NO 2 emission strengths during lockdown are similar to those observed at weekends in both cities. Although our analysis is limited to two cities as test examples, the method has proven to provide reliable and consistent results. It is expected to be suitable for other trace gases and other target regions. However, it might become challenging in some areas with complicated emission sources and topography, and specific NO 2 decay times in different regions and seasons should be taken into account. These impacting factors should be considered in the future model to further reduce the uncertainty budget. [ABSTRACT FROM AUTHOR]

Background and objective: Studies linking early life exposure to air pollution and subsequent impaired lung health have focused on chronic, low-level exposures in urban settings. We aimed to determine whether in utero exposure to an acute, high-intensity air pollution episode impaired lung function 7-years later. Method: We conducted a prospective cohort study of children who lived in the vicinity of a coalmine fire. Respiratory function was measured using the forced oscillation technique (FOT). Z-scores for resistance at 5 Hz (R5), reactance at 5 Hz (X5) and area under the reactance curve (AX) were calculated. Two sets of analyses were conducted to address two separate questions: (1) whether mine fire exposure (a binary indicator; conceived after the mine fire vs in utero exposed) was associated with the respiratory Z-scores; (2) whether there was any dose–response relationship between fire-related PM2.5 exposure and respiratory outcomes among those exposed. Results: Acceptable lung function measurements were obtained from 79 children; 25 unexposed and 54 exposed in utero. Median (interquartile range) for daily average and peak PM2.5 for the exposed children were 4.2 (2.6 – 14.2) and 88 (52—225) µg/m3 respectively. There were no detectable differences in Z-scores between unexposed and exposed children. There were no associations between respiratory Z-scores and in utero exposure to PM2.5 (daily average or peak). Conclusion: There was no detectable effect of in utero exposure to PM2.5 from a local coalmine fire on post-natal lung function 7-years later. However, statistical power was limited. [ABSTRACT FROM AUTHOR]

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Copyright of Environnement, Risques & Santé is the property of John Libbey Eurotext Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The COVID-19 pandemic has brought new momentum to 'wastewater-based epidemiology' (WBE). This approach can be applied to monitor the levels of antibiotic-resistant genes (ARGs), which in terms are used to make inferences about the burden of antimicrobial resistance (AMR) in human settlements. However, there is still little information about temporal variability in ARG levels measured in wastewater streams and how these influence the inferences made about the occurrence of AMR in communities. The goal of this study was hence to gain insights into the variability in ARG levels measured in the influent and effluent of two wastewater treatment plants in The Netherlands and link these to levels of antibiotic residues measured in the same samples. Eleven antibiotics were detected, together with all selected ARGs, except for VanB. Among the measured antibiotics, significant positive correlations (p. 0.70) with the corresponding resistance genes and some non-corresponding ARGs were found. Mass loads varied up to a factor of 35 between days and in concomitance with rainfall. Adequate sampling schemes need to be designed to ensure that conclusions are drawn from valid and representative data. Additionally, we advocate for the use of mass loads to interpret levels of AMR measured in wastewater. [ABSTRACT FROM AUTHOR]

Volatile organic compounds are a broad and important class of pollutants affecting the indoor air quality. They are emitted from commercial products, building materials, furniture, occupant activities and even occupants, etc., and can participate in the indoor chemistry reacting with oxidants or being formed from secondary reactions. Some VOCs are classified as carcinogens and are associated with a variety of health effects. Characterizing and quantifying the VOCs in the indoor environments is of paramount importance in order to implement preventive measures to minimize the human exposure. A correct assessment of human exposure or characterization of emission sources and indoor activities requires appropriate and efficient methods for sampling and analysis. Therefore, this review focuses on the different methodologies for monitoring VOC that must be selected when a sampling plan is designed considering the objective of the measure. Selecting the most suitable procedures for assessing VOCs requires proper knowledge on the existing standards and off-line (including the selection of the sorbent media) and online instrumentation. Knowing the advantages and drawbacks of the different techniques available can help to plan future studies. [ABSTRACT FROM AUTHOR]

Nitrogen dioxide (NO2) air pollution provides valuable information for quantifying NOx emissions and exposures. This study presents a comprehensive method to estimate average tropospheric NO2 emission strengths derived from three-year (April 2018 - March 2021) TROPOMI observations by combining a wind-assigned anomaly approach and a Machine Learning (ML) method, the so-called Gradient Descent. This combined approach is firstly applied to the Saudi Arabian capital city Riyadh, as a test site, and yields a total emission rate of 1.04×1026 molec./s. The ML-trained anomalies fit very well with the wind-assigned anomalies with an R2 value of 1.0 and a slope of 0.99. Hotspots of NO2 emissions are apparent at several sites where the cement plant and power plants are located and over areas along the highways. Using the same approach, an emission rate of 1.80×1025 molec./s is estimated in the Madrid metropolitan area, Spain. Both the estimate and spatial pattern are comparable to the CAMS inventory. Weekly variations of NO2 emission are highly related to anthropogenic activities, such as the transport sector. The NO2 emissions were reduced by 24% at weekends in Riyadh, and high reductions are found near the city center and the areas along the highway. An average weekend reduction estimate of 30% in Madrid is found. The regions with dominant sources are located in the east of Madrid, where the residential areas and the Madrid-Barajas airport are located. Additionally, the NO2 emissions decreased by 21% in March-June 2020 compared to the same period in 2019 induced by the COVID-19 lockdowns in Riyadh. A much higher reduction (60%) is estimated for Madrid where a very strict lockdown policy was implemented. The high emission strengths during lockdown only persist in the residential areas and cover smaller areas during weekdays than at weekends. The spatial patterns of NO2 emission strengths during lockdown are similar to those observed at weekends in both cities. Though our analysis is limited to two cities as testing examples, the method has proved to provide reliable and consistent results. Therefore, it is expected to be suitable for other trace gases and other target regions. [ABSTRACT FROM AUTHOR]

Regular use of incense and earthen lamps in temples leads to the release of particulate matter (PM), airborne flecks, and gaseous pollutants. Similarly, the cremation of dead bodies using timber and other accessories such as incense, organic chemicals containing carbon, and clothes generates air pollutants. It is currently unclear how much emissions and exposure these activities may lead. This work attempts to fill this gap in our understanding by assessing the associated emissions of PM2.5 and the corresponding exposure. Ten temples and two cremation grounds were considered for the sampling of PM2.5. The average PM2.5 concentration at the ten temples and the two crematoriums was found to be 658.30 ± 112.63 µg/m3 and 1043.50 ± 191.63 µg/m3, respectively. The range of real-time PM2.5 data obtained from the nearest twelve stations located in the vicinity was 113–191 µg/m3. The exposure assessment in terms of deposition dose was carried out using the ICRP model. The maximum and minimum total respiratory deposition dose rate for PM2.5 for temples was 175.75 µg/min and 101.15 µg/min, respectively. For crematoriums, the maximum and minimum value of same was 252.3 µg/min and 194.31 µg/min, respectively, for an exposure period of 10 min. [ABSTRACT FROM AUTHOR]

Background: Since the introduction of copper based, lead-free frangible (LFF) ammunition to Air Force small arms firing ranges, instructors have reported symptoms including chest tightness, respiratory irritation, and metallic taste. These symptoms have been reported despite measurements determining that instructor exposure does not exceed established occupational exposure limits (OELs). The disconnect between reported symptoms and exposure limits may be due to a limited understanding of LFF firing byproducts and subsequent health effects. A comprehensive characterization of exposure to instructors was completed, including ventilation system evaluation, personal monitoring, symptom tracking, and biomarker analysis, at both a partially enclosed and fully enclosed range. Results: Instructors reported symptoms more frequently after M4 rifle classes compared to classes firing only the M9 pistol. Ventilation measurements demonstrated that airflow velocities at the firing line were highly variable and often outside established standards at both ranges. Personal breathing zone air monitoring showed exposure to carbon monoxide, ultrafine particulate, and metals. In general, exposure to instructors was higher at the partially enclosed range compared to the fully enclosed range. Copper measured in the breathing zone of instructors, on rare occasions, approached OELs for copper fume (0.1 mg/m3). Peak carbon monoxide concentrations were 4–5 times higher at the partially enclosed range compared to the enclosed range and occasionally exceeded the ceiling limit (125 ppm). Biological monitoring showed that lung function was maintained in instructors despite respiratory symptoms. However, urinary oxidative stress biomarkers and urinary copper measurements were increased in instructors compared to control groups. Conclusions: Consistent with prior work, this study demonstrates that symptoms still occurred despite exposures below OELs. Routine monitoring of symptoms, urinary metals, and oxidative stress biomarkers can help identify instructors who are particularly affected by exposures. These results can assist in guiding protective measures to reduce exposure and protect instructor health. Further, a longitudinal study is needed to determine the long-term health consequences of LFF firing emissions exposure. [ABSTRACT FROM AUTHOR]

It is highly demanding to develop a fluorescence-based multi-stimuli responsive material. Herein, we reported an oligomeric network labeled P1, composed of heterocyclic triazine as the π-electron acceptor (A) connected directly with the π-electron rich donor (D) triphenylamine (TPA). The observed difference in the electron density of the D–A moieties of P1 supports the response with various solvent polarities and exhibits solvatochromic property. P1 shows the ability to sense the trinitrotoluene (TNT) explosive material by observing the quenching effect on the emission. It detects TNT from an aqueous solution down to the femtomolar level (10−15 M). The observed detection limit is 698 ppb in the vapor phase. The paper-based sensing ability of TNT by P1 was verified. The D–A network structure and available active protonic sites in the oligomer (P1) make it highly sensitive to both Brønsted and Lewis acids in liquid and vapor phases. P1 exhibited a bathochromic shifted emission upon exposure with trifluoroacetic acid (TFA) and boron trifluoride etherate by 108 and 94 nm in the solution phase and 97 nm and 35 nm in the vapor phase, respectively. Furthermore, P1 exhibits mechanofluorochromism (MFC) with unusual hypsochromic shifting (555 to 535 nm) with enhanced emission intensity upon grinding. It is further noted that the same probe shows a distinct emissive response with different stimuli, i.e., quenching towards TNT sensing, bathochromically shifted emission for acidochromism, hypsochromically shifted emission against MFC behavior, and polarity-dependent emission observed for solvatochromism. [ABSTRACT FROM AUTHOR]

For the first time, the time-resolved two-photon excited autophosphorescence of non-labeled biological specimens was investigated by phosphoresce lifetime imaging with microscopic spatial resolution. A modified multiphoton tomograph was employed to record both photoluminescence contributions, autofluorescence and autophosphorescence, simultaneously, induced by two-photon excitation using an 80 MHz near infrared femtosecond-pulse-laser scanning beam, an acousto-optic modulator, and a time-correlated single-photon counting module for lifetime measurements from the picosecond to the microsecond range. In particular, the two-photon-excited luminescence of thermally altered bones was imaged. A strong dependence of the phosphorescence intensity on exposure temperature, with a maximum emission for an exposure temperature of approximately 600 °C was observed. Furthermore, the phosphorescence lifetime data indicated a bi-exponential signal decay with both a faster few µs decay time in the range of 3–10 µs and a slower one in the range of 30–60 µs. The recording of fluorescence and phosphorescence allowed deriving the relative signal proportion as an unbiased measure of the temperature dependence. The measurements on thermally altered bones are of particular interest for application to forensic and archeological investigations. [ABSTRACT FROM AUTHOR]

Field emission cathodes are promising candidates in nanoscale vacuum channel transistors and are used in microwave vacuum electron devices. Prior research has shown that UV light exposure as well as 350 °C vacuum bake can desorb water vapor from Si field emission tips, resulting in lower work function and improved emission performance. However, after long exposure to room air (greater than 24 h), the improved performance is lost as water adsorbs on the tips. In this study, experiments were carried on two sets of 1000 × 1000 Si-gated field emitter arrays to determine the length of time that emitters can be exposed to room air without degradation. First, the samples were exposed to UV light irradiation in vacuum, and the I–V curves were measured. Then, the samples were exposed to room air with a relative humidity ranging from 30% to 40% for varying times (5, 6, 8, 12, 24, and 48 h) and then tested again under high vacuum. It was found that the emission current did not degrade after room air exposure of 5 h. However, at 6 h of exposure, degradation started to occur, and after 24 h, the emission current went back to the original, pre-UV exposure case. In a separate experiment, UV irradiated samples were stored in nitrogen for 72 h, with a 10% degradation in current. These results demonstrate that field emission devices with improved performance resulting from water desorption can be handled in air up to 5 h, depending upon humidity and stored in nitrogen for 72 h while maintaining improved performance. [ABSTRACT FROM AUTHOR]

Assessment of spatial variations in the concentrations of potentially toxic metal Pb, Zn, Cu, Cr and Fe was carried out along three roads in Sfax region to identify possible changes in their levels. Concentrations were determined using atomic absorption spectrometer. The study found that for the samples collected along Gremda road the mean concentrations of Pb, Zn, Cr, Cu and Fe were from 2.5 to 110.3; 21.3 to 255.8; 0.8 to 13.7; 0.9 to 11.8 and 9190.8 to 17,267.7 µg/g, respectively. For the samples collected along Manzel Chaker road, obtained concentrations of Pb, Zn, Cr, Cu and Fe ranged between 1.6 and 36.2; 9.8 and 79.2; 2.1 and 7.1; 1.3 and 15.9; 3065.6 and 4084.4 µg g1− for Pb, Zn, Cu, Cr and Fe, respectively. For the sample of Tunis, they ranged between 6.8 and 60.2; 1.6 and 119.6; 1.2 and 6.7; 0.9 and 3.4 and 13,691.7 and 18,091.7 µg g1− for Pb, Zn, Cu, Cr and Fe, respectively. The use of different pollution indexes: geoaccumulation index (Igeo), contamination factor (CF), pollution load index (PLI) and enrichment factor (EF) showed the anthropogenic sources of Pb, Zn, Cu and Cr and the natural sources of Fe. The study indicated that the soils on the Gremda road are highly contaminated with Zn and Pb and no contamination with Cu and Cr. The other two roads showed lower contamination with Pb and Zn and no contamination with Cu and Cr. This difference is related to the variation in exposure to road emissions, the road activity and to the effect of climatic factors. [ABSTRACT FROM AUTHOR]

Particulate matter is linked to adverse health effects, however, little is known about health effects of particles emitted from typical indoor sources. We examined acute health effects of short‐term exposure to emissions from cooking and candles among asthmatics. In a randomized controlled double‐blinded crossover study, 36 young non‐smoking asthmatics attended three exposure sessions lasting 5 h: (a) air mixed with emissions from cooking (fine particle mass concentration): (PM2.5: 96.1 μg/m3), (b) air mixed with emissions from candles (PM2.5: 89.8 μg/m3), and c) clean filtered air (PM2.5: 5.8 μg/m3). Health effects (spirometry, fractional exhaled Nitric Oxide [FeNO], nasal volume and self‐reported symptoms) were evaluated before exposure start, then 5 and 24 h after. During exposures volatile organic compounds (VOCs), particle size distributions, number concentrations and optical properties were measured. Generally, no statistically significant changes were observed in spirometry, FeNO, or nasal volume comparing cooking and candle exposures to clean air. In males, nasal volume and FeNO decreased after exposure to cooking and candles, respectively. Participants reported additional and more pronounced symptoms during exposure to cooking and candles compared to clean air. The results indicate that emissions from cooking and candles exert mild inflammation in asthmatic males and decrease comfort among asthmatic males and females. [ABSTRACT FROM AUTHOR]

This project aimed to assess the carbon nanotube (CNT) fiber emission and the potential exposure associated with grinding and brushing of CNT containing products for applications in construction. Specifically, we looked at applications of pre-dispersed CNT in a liquid phase, where the likelihood of exposure was evaluated. The CNT products to be evaluated were tested in two ways: As a dried-out film formed on the surfaces of concrete tiles to simulate a spill and embedded in concrete during mixing to simulate intended use. The surface film trial showed no loose and individual CNT fiber with aspect ratio higher than 3 to 1 released by the brushing motion, although larger particles containing CNT were found as airborne particles originating from the brushing of CNT containing tile surfaces. A few non-CNT straight fibers with sub-micrometer to a few micrometers in length were found from concrete cylinder grinding. This can potentially be related to the specific loading and concentration used or can be a consequence of the chemical pre-dispersion state of the liquid CNT prior to the trials taking place. According to the low number of CNT containing particles found, very trace amount of elemental carbon was contributed by CNTs. We also demonstrated the importance of confirming the presence of individual CNT and CNT containing substance using electron microscopy analysis and the efficiency of using direct sampling method as a result of comparisons among employed methods. Copyright © 2021 American Association for Aerosol Research [ABSTRACT FROM AUTHOR]

Purpose: Reducing chemical pressure on human and environmental health is an integral part of the global sustainability agenda. Guidelines for deriving globally applicable, life cycle–based indicators are required to consistently quantify toxicity impacts from chemical emissions as well as from chemicals in consumer products. In response, we elaborate the methodological framework and present recommendations for advancing near-field/far-field exposure and toxicity characterization, and for implementing these recommendations into the scientific consensus model USEtox. Methods: An expert taskforce was convened by the Life Cycle Initiative hosted by UN Environment to expand existing guidance for evaluating human toxicity impacts from exposure to chemical substances. This taskforce evaluated scientific advances since the original release of USEtox and identified two major aspects that required refinement, namely integrating near-field and far-field exposure, and improving human dose-response modeling. Dedicated efforts have led to a set of recommendations to address these aspects in an update of USEtox, while ensuring consistency with the boundary conditions for characterizing life cycle toxicity impacts and being aligned with recommendations from agencies that regulate chemical exposure. The proposed updated USEtox framework was tested in an illustrative rice production and consumption case study. Results and discussion: On the exposure side, a matrix system is proposed and recommended to integrate far-field exposure from environmental emissions with near-field exposure from chemicals in various consumer product types. Consumer exposure is addressed via sub-models for each product type to account for product type-specific characteristics and exposure settings. Case study results illustrate that product use–related exposure dominates overall life cycle exposure. On the effect side, a probabilistic dose-response approach combined with a decision tree for identifying reliable points of departure is proposed for non-cancer effects, following recent guidance from the World Health Organization. This approach allows for explicitly considering both uncertainty and human variability in toxicity effect factors. Factors reflecting disease severity are proposed to distinguish cancer from non-cancer effects and within the latter to discriminate reproductive/developmental and other non-cancer effects. All proposed aspects have been consistently implemented into the original USEtox framework. Conclusions: The recommended methodological advancements address several key limitations in earlier approaches. Next steps are to test the new characterization framework in additional case studies and to close remaining research gaps. Our framework is applicable for evaluating chemical emissions and product-related exposure in life cycle assessment, chemical alternatives assessment and chemical substitution, consumer exposure and risk screening, and high-throughput chemical prioritization. [ABSTRACT FROM AUTHOR]

The study assessed the Clinicopathological changes of Wistar rats exposed to municipal landfill gaseous particulate emissions. Four groups of Wistar rats were exposed to the different sites of landfill emission with use of filters for filtering landfill gaseous emission while the control group was not exposed. Performance of the animals was evaluated weekly, blood and lung, liver, kidney and heart tissues were taken for haematological and histopatholgical examinations. At the end of six weeks exposure, the peak weight was recorded as 108.96±0.45 of Group B as compared to 126.352±0.88 of the Control Group, as well as the decrease in the body weight of Group A-D compared to the Control Group. There was leucocytosis, lymphocytosis and neutrophilia in the rats that were exposed to landfill emission. There were pulmonary, hepatic, and renal lesions while the heart was spared. Changes were observed on the use of filters for filtering landfill gaseous emission. The 3M 6001 CN Gas Mask Carnister Cartridge which filters 50% of landfill emission together with black polythene nylon restricting external air into the filtered cage was not sufficient to reduce the effect of landfill gaseous emission at the end of the exposure period. The screening with PM2.5 material which filters 100% of PM2.5 emission was only able to screen PM2.5 emission but could not screen other landfill gaseous emission. This indicates that landfill gaseous emission is capable of inducing respiratory problems and tissue damage on dumpsite workers if there is sufficient and continuous exposure to landfill gaseous emissions. To prevent the hazard that may arose from dumpsite activities; gas nose mask respirator is recommended for an individual who works as scavengers and landfill workers before entering the dumpsite environment.. [ABSTRACT FROM AUTHOR]

Adverse health effects have been linked with exposure to livestock farms, likely due to airborne microbial agents. Accurate exposure assessment is crucial in epidemiological studies, however limited studies have modelled bioaerosols. This study used measured concentrations in air of livestock commensals (Escherichia coli (E. coli) and Staphylococcus species (spp.)), and antimicrobial resistance genes (tetW and mecA) at 61 residential sites in a livestock-dense region in the Netherlands. For each microbial agent, land use regression (LUR) and random forest (RF) models were developed using Geographic Information System (GIS)-derived livestock-related characteristics as predictors. The mean and standard deviation of annual average concentrations (gene copies/m3) of E. coli , Staphylococcus spp., tetW and mecA were as follows: 38.9 (±1.98), 2574 (±3.29), 20991 (±2.11), and 15.9 (±2.58). Validated through 10-fold cross-validation (CV), the models moderately explained spatial variation of all microbial agents. The best performing model per agent explained respectively 38.4%, 20.9%, 33.3% and 27.4% of the spatial variation of E. coli , Staphylococcus spp., tetW and mecA. RF models had somewhat better performance than LUR models. Livestock predictors related to poultry and pig farms dominated all models. To conclude, the models developed enable enhanced estimates of airborne livestock-related microbial exposure in future epidemiological studies. Consequently, this will provide valuable insights into the public health implications of exposure to specific microbial agents. [Display omitted] • Improving livestock exposure assessment is crucial for accurately assessing health risks. • Empirical spatial models effectively predict airborne microbial concentrations. • Random Forest models slightly outperform Land Use Regression models. • Variables related to poultry and pig farms are large contributors to the models. • Modelling residential exposure will benefit future epidemiological studies. [ABSTRACT FROM AUTHOR]

Observing the spatial heterogeneities of NO2 air pollution is an important first step in quantifying NOX emissions and exposures. This study investigates the capabilities of the Tropospheric Monitoring Instrument (TROPOMI) in observing the spatial and temporal patterns of NO2 pollution in the continental United States. The unprecedented sensitivity of the sensor can differentiate the fine‐scale spatial heterogeneities in urban areas, such as emissions related to airport/shipping operations and high traffic, and the relatively small emission sources in rural areas, such as power plants and mining operations. We then examine NO2 columns by day‐of‐the‐week and find that Saturday and Sunday concentrations are 16% and 24% lower respectively, than during weekdays. We also analyze the correlation of daily maximum 2‐m temperatures and NO2 column amounts and find that NO2 is larger on the hottest days (>32°C) as compared to warm days (26°C–32°C), which is in contrast to a general decrease in NO2 with increasing temperature at moderate temperatures. Finally, we demonstrate that a linear regression fit of 2019 annual TROPOMI NO2 data to annual surface‐level concentrations yields relatively strong correlation (R2 = 0.66). These new developments make TROPOMI NO2 satellite data advantageous for policymakers and public health officials, who request information at high spatial resolution and short timescales, in order to assess, devise, and evaluate regulations. Plain Language Summary: Nitrogen oxides are a group of air pollutants released after fossil fuel combustion. A constituent of nitrogen oxides, nitrogen dioxide (NO2), can be observed by satellite instruments due to its chemical properties. In this project, we average together images of NO2 pollution gathered by the Tropospheric Monitoring Instrument satellite instrument over the United States in order to better determine the spatial distribution of NO2 air pollution. We find that this newest satellite instrument can observe air pollution with unprecedented clarity, similar to how HDTV is an advancement over regular TV. For example, we quantify pollution near individual airports, shipping areas, and major interstates; previous satellite instruments were unable to quantify air pollution with this type of precision. We also average the satellite data over different intervals to better determine cycles of air pollution. We find that NO2 air pollution is 16% lower on Saturdays and 24% lower on Sundays. Additionally, we find that NO2 pollution is larger on the hottest summer days as compared to typical summer days. These developments demonstrate how this new satellite instrument can advantageous for policymakers and health officials, who request information at high spatial resolution and short timescales, in order to assess, devise, and evaluate regulations Key Points: The high instrument sensitivity of Tropospheric Monitoring Instrument (TROPOMI) can measure NO2 pollution with unprecedented clarity compared to predecessor instrumentsWe can now quantify pollution hotspots within cities such as those related to airport/shipping operations and high traffic areasAnnual column NO2 observed by TROPOMI has good correlation (R2 = 0.66) with EPA surface observations without any surface‐to‐column conversion [ABSTRACT FROM AUTHOR]

When analyzing alternatives to locate a new industry or modify a production process that generates gaseous emissions, it is necessary to evaluate and quantify its environmental impacts, thus anticipating future inconveniences in the natural and social environment, in which the activity takes place. Under this framework, the objective of this work was to carry out an Environmental Risk Assessment (ERA) as an instance before the establishment of a new industry, which was applied to the case study of a lead smelting plant in the province of Entre Ríos, Argentina. For this, the projected activity data for said smelting plant were used, using the emission factors suggested by the United States Environmental Protection Agency (EPA). Once the emissions were estimated, the dispersion of the pollutants was modeled using the Industrial Source Complex Short Term version (ISCST3) model, which allowed knowing the distribution of the concentration of atmospheric pollutants in the urban area of Villa Elisa (Entre Ríos) and with the results obtained, an ERA was carried out. As a result of this research, a baseline was generated that allows estimating the potential impact on the health of exposed people as a pre-establishment to an industry that generates gaseous emissions. [ABSTRACT FROM AUTHOR]

Road pricing is advocated as an effective travel demand management strategy to alleviate traffic congestion and improve environmental conditions. This paper analyzes the impacts of cordon pricing on the population’s daily activity pattern and their exposure to particulate matter by integrating activity-based models with air quality and exposure models in the case of New York City. To estimate changes in public exposure under cordon pricing scenarios, we take a sample of employees and study their mobility behavior during the day, which is mainly attributed to the location of the work and the time spent at work. The selection of employees and their exposure during the duration of their work is due to the unavailability of exact activity patterns for each individual. We show that the Central Business District (CBD) experiences a high concentration of PM2.5 emissions. Results indicate that implementing cordon pricing scenarios can reduce the population-weighted mean of exposure to PM2.5 emissions by 7% to 13% for our sample and, in particular, by 22% to 28% for those who work in the CBD. Furthermore, using an experimental model and assuming constant conditions, we point out the positive influence on indoor exposure for two locations inside and outside the CBD in response to cordon pricing. Considering the correlation between long-term exposure to fine particulate matter and the risks of developing cardiovascular disease and lung cancer, our findings suggest that improved public health conditions could be provided by implementing cordon pricing in the New York City CBD.

A 24-h exposure assessment was performed in two groups of blue-collar workers from a die-casting plant and an electroplating plant to investigate levels of exposure to extremely low-frequency magnetic fields (ELF-MFs), using an EMDEX Lite (Enertech, USA) dosimeter. ELF-MF exposure of workers from the die-casting plant (arithmetic M ± SD 0.649 ± 1.343 µT) is higher than in electroplating workers (0.138 ± 0.045 µT). Higher ELF-MF exposure occurred among workers living in the same building as their workplace compared with that among other workers. This study suggests that ELF-MF exposure levels should be taken into consideration when providing dormitories for workers to minimize levels of residential ELF-MF exposure due to emissions from industrial plants. The study recommends that blue-collar workers should be made aware of measures to minimize their exposure to environmental agents such as ELF-MFs and electromagnetic fields during work, such as maintaining a safe distance between machines and avoiding undesirable behavior with equipment. [ABSTRACT FROM AUTHOR]

Open municipal solid waste (MSW) combustion is a major emission source of particulate air pollution, polycyclic aromatic hydrocarbons, and more exotic hazardous organic pollutants including polychlorinated biphenyls and brominated flame retardants. However, the adverse impact of MSW combustion emission on health among the general population is unknown. Therefore, a cross-sectional study was conducted to explore the associations between potential exposure to MSW combustion-related air pollution and symptoms of adverse health effects among residents of a community adjacent to a large open landfill in Lagos, Nigeria. Using ordinal logistic regression and controlling for age, sex, and smoking, it was observed that residence for ≥ 11 years had increased odds (p < 0.05) of daily occurrence of tingling/numbness/whiteness of fingers (2.614), headaches (2.725), memory problems (2.869), tremor/cramps (2.748), and confusion (3.033) among other symptoms. These results indicate adverse health impacts of chronic exposure to MSW combustion emission. [ABSTRACT FROM AUTHOR]