Gaseous Pollutants Research Articles

Co-abatement of greenhouse gas and air pollutants in Shanghai, China: Spatial hotspots identification, effects assessment and policy implication

Driving co-abatement of Greenhouse Gas (GHGs) and Air Pollutants (APs) in the city level is crucial for fostering societal green and low-carbon transitions, yet comprehensive and refined researches at this level remain limited. To facilitate urban fine management of GHGs control and APs reduction, this study targeted nine categories of anthropogenic emission sources in Shanghai, a typical megacity of China, analyzing the co-benefits of three types of GHGs (CO2, CH4, N2O) and seven types of APs (SO2, NOx, CO, VOCs, NH3, PM2.5, PM10) via emissions flow, spatial distribution, hotspot regions identification, and scenario prediction. Results highlighted the source heterogeneity of different types and significant contributions of energy consumption. CO2 emissions showed a strong spatial correlation with SO2, NOx, and CO, followed by VOCs and PM. Hotspot regions for CO2-VOCs, CO2-NOx and CO2-SO2 co-abatement included power plants, petrochemical enterprises and chemical industrial parks in the southern coastal areas, iron and steel enterprises and power plants in the northern coastal areas, and airport areas in the central and eastern coastal areas, presenting great potential maximum reduction benefits. Achieving positive co-benefits in industrial sector would depend on the steady decline of CO2 emissions in power generation and steel industries. Introducing carbon capture devices and improving energy efficiency would be more beneficial to CO2 emission reduction, while increasing the share of clean energy and phasing out outdated vehicles, machinery, or production capacities are more effective in reducing APs. These mitigation measures could achieve 68.8 % and 47.6 % reduction for CO2 and APs by 2050, respectively, and the co-effect of CO2 and APs emission reduction would gradually increase with the continuous implementation of these measures.

Nanoporous air filtering systems made from renewable sources: benefits and challenges.

There is a crucial need for air purification systems due to increasing air contamination, while conventional air-filtering materials face challenges in eliminating gaseous and particulate pollutants. This review examines the development and characteristics of nanoporous polymeric materials developed from renewable resources, which have rapidly advanced in recent years. These materials offer more sustainable alternatives for nanoporous structures made out of conventional polymers and significantly impact the properties of porous polymers. The review explores nanoporous materials' production from renewable sources, filtering mechanisms, physicochemical makeup, and sensing capabilities. The recent advancements in this field aim to enhance production techniques, lower pressure drop, and improve adsorption efficiency. Currently, supporting approaches include using adsorbent layers and binders to immobilize nanoporous materials. Furthermore, the prospects and challenges of nanoporous materials obtained from renewable sources used for air purification are discussed.

Oxidative Gaseous Air Pollutant Exposure Interacts with PNPLA3 Genotype to Influence Liver Fat Fraction and Multi-Omics Profiles in Young Adults

Oxidative Gaseous Air Pollutant Exposure Interacts with PNPLA3 Genotype to Influence Liver Fat Fraction and Multi-Omics Profiles in Young Adults

Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations

Abstract. The Geostationary Environment Monitoring Spectrometer (GEMS) over Asia is the first geostationary Earth orbit instrument in the virtual constellation of sensors for atmospheric chemistry and composition air quality research and applications. For the first time, the hourly observations enable studies of diurnal variation in several important trace gas and aerosol pollutants including nitrogen dioxide (NO2), which is the focus of this work. NO2 is a regulated pollutant and an indicator of anthropogenic emissions in addition to being involved in tropospheric ozone chemistry and particulate matter formation. We present new quantitative measures of NO2 tropospheric column diurnal variation which can be greater than 50 % of the column amount, especially in polluted environments. The NO2 distribution is seen to change hourly and can be quite different from what would be seen by a once-a-day low-Earth-orbit satellite observation. We use GEMS data in combination with TROPOspheric Monitoring Instrument (TROPOMI) satellite and Pandora ground-based remote sensing measurements and Multi-Scale Infrastructure for Chemistry and Aerosols (Version 0, MUSICAv0) 3D chemical transport model analysis to examine the NO2 diurnal variation in January and June 2023 over Northeast Asia and Seoul, South Korea, study regions to distinguish the different emissions, chemistry, and meteorological processes that drive the variation. Understanding the relative importance of these processes will be key to including pollutant diurnal variation in models aimed at determining true pollutant exposure levels for air quality studies. The work presented here also provides a path for investigating similar NO2 diurnal cycles in the new Earth Venture Instrument-1 Tropospheric Emissions: Monitoring Pollution (TEMPO) data over North America, and later over Europe with Sentinel-4.

Adapting to Climate Change: From Capitalism to Democratic Eco-Socialism

ABSTRACT The climate crisis is growing worse. Efforts to mitigate climate change have failed to stem the growing production of the greenhouse gas pollution that has created and exacerbated it. This failure is largely attributable to capitalism, including its current neoliberal form, and its continued addiction to fossil fuels. Consequently, there have been growing calls to ramp up efforts to help communities and countries, especially the world’s poorest, adapt to the inevitably worsening impacts of climate change. It is unlikely that adaptation policies premised on capitalism will be any more effective than capitalist-oriented mitigation policies. Instead, what is required is “transformational change” premised on alternative socio-economic assumptions that put environmental sustainability, social justice and economic equity before material growth and profit-seeking. Mainstream analyses of transformation rarely move beyond recommendations for changing prevailing ideas regarding nature, coupled with upscaling renewable energy, while slow-rolling the transition away from fossil fuels. This leaves untouched the prevailing institutions of national and global societies that are blocking a rapid path to sustainability and an effective response to climate change. In contrast, democratic eco-socialism offers a transformative alternative with much greater potential to enable fair and effective adaptation to the future impacts of climate change.

Criteria, Greenhouse Gas, and Hazardous Air Pollutant Emissions Factors from Residential Cordwood and Pellet Stoves Using an Integrated Duty Cycle Test Protocol.

Air pollution from residential wood heating (RWH) presents challenges at the intersection of climate and public health. With a revised National Ambient Air Quality Standard (NAAQS, at 9 μg/m3) for particulate matter (PM) in the United States (U.S.), the Environmental Protection Agency (EPA) will likely classify new non-attainment areas due primarily to emissions from RWH. Agencies will use emissions factors (EFs) to develop attainment strategies. Many will rely on EPA modeling platforms based on data from the National Emissions Inventory (NEI). The NEI uses RWH EFs based on data from mid-1990's in-situ studies and a speciation profile from a 2001 study of fireplace emissions. The NEI does not include greenhouse gas (GHG) emissions for this sector, which plays a key role when assessing climate reduction strategies for the buildings sector. Here, we tested seven wood stoves to determine EFs, representing various vintages and control technologies, using a novel test method that reflects in-use operational settings called the Integrated Duty Cycle. The study measured multiple pollutants concurrently: criteria pollutants (particulate matter [PM], CO, and NOx), nonmethane total hydrocarbons (NMTHCs), GHGs, black carbon (eBC), brown carbon (BrC), and multiple hazardous air pollutants (HAPs). We found no significant difference in PM EFs between uncertified and non-catalytic stove technologies. RWH EF results from this study exceeded 2020 NEI RWH EFs for NMTHC and multiple HAPs. Applying our study's EFs to the 2020 NEI suggests that RWH, compared to all other sources, ranks as the 2nd largest source category of formaldehyde; the 3rd largest of benzene, 1,3-butadiene, and acrolein; and the 4th largest of Pb emissions. RWH also emits more methane compared to natural gas or oil residential heating, raising questions about substitution of wood as a climate neutral heating fuel. However, compared to uncertified stoves, pellet stove EFs (except toxic metals) were significantly lower (p < 0.01). In summary, RWH appears to be an underestimated source of PM (non-catalytic technology), methane, NMTHC, toxic metals, and other HAPs, which has important implications for climate and public health policy in the U.S. and globally.

Computational analysis of C9N4 monolayer as a novel adsorbent for toxic gases

A novel C9N4 nanosheet has been investigated for its potential use as an electrochemical sensor for gaseous pollutants including CO, NO, CO2, HF, and COCl2. The sensing ability of C9N4 is explored theoretically at the ωB97XD/6-311G (d, p) level of theory. The results showed the physisorption of all analytes on the C9N4 surface. The highest interaction energy of −21.96 kcal/mol was observed in COCl2@C9N4. The order of interaction energy was COCl2@C9N4> NO@C9N4 > HF@C9N4 > CO2@C9N4 > CO@C9N4. The Electronic properties of the complexes were examined using EDD (Electron Density Difference), NBO (natural bond orbital), FMO (frontier molecular orbital), and DOS (density of state) analysis. According to NBO analysis, CO2@C9N4 exhibited the maximum amount of charge transfer (−0.026 e−), whereas COCl2@C9N4 exhibited the minimum amount of charge transfer. The adsorption of COCl2 onto the surface of C9N4 resulted in change in the energy gap with a value of −3.12 eV compared to −3.15 eV for C9N4. These findings highlighted the potential of C9N4 as a promising electrochemical sensor for COCl2. The transfer of charges takes place from the analytes to the C9N4, except in HF, where no charge transfer took place. This divergence could be attributed to the strongly bonded electrons between the fluorine and hydrogen atoms of HF. QTAIM and NCI analysis were performed to determine the nature of non-covalent interactions. At 298K, a recovery time of 1.25 × 104 s was calculated for the desorption of COCl2 from the surfaces of C9N4. It was observed that C9N4 shows the highest sensitivity toward COCl2 among all selected analytes.

Identifying the pollution risk pattern from industrial production to rural settlements and its countermeasures in China

Impacted by large-scale and rapid rural industrialization in the past few decades, China's rural settlements are confronted with the risk of heavy metal pollution stemming from industrial production, which might pose a significant threat to the rural habitat and the well-beings. This study devised a relative risk model for industrial heavy metal pollution to the rural settlements based on the source-pathway-receptor risk theory. Using this model, we assessed the risk magnitudes of heavy metal pollution from industrial production at a 10 km × 10 km grid scale and identified the characteristics of the risk pattern in China. Our finding reveals: (1) the relative risk values of wastewater, waste gas and total heavy metal pollution are notably concentrated within a confined spectrum, with only a small number of units are characterized by high-risk level; (2) Approximately 21.57 % of China's rural settlements contend with heavy metal pollution, with 4.17 %, 9.84 % and 7.55 % being subjected to high, medium and low risks, respectively; (3) The high-risk units mainly is concentrated in the developed areas such as Yangtze River Delta, Pearl River Delta, and the Beijing-Tianjin metropolitan area, also dispersed in the plain areas with high rural population density. Guided by these insights, this study puts forth regionally tailored prevention and control strategies, as well as distinct process prevention and control strategies.

Machine learning models for predicting interactions between air pollutants in Tehran Megacity, Iran

Air pollution has significant detrimental impacts on the environmental compartments and human health. The present study investigates the interactions between selected air pollutants, including CO, O3, NO2, SO2, PM10, and PM2.5, in Tehran megacity, the capital of Iran, using statistical modeling and simulating approaches. Data on selected air pollutants have been extracted from 16 sensors across Tehran during 2013–2022. Using the development of three machine learning models, including XGBoost (XGB), LightGBM (LGBM) and Random Forest (RF), significant relationships between the air pollutants were observed. The comparison of the models demonstrated that the RF model has the highest level of optimality in forecasting the concentrations of CO, O3, NO2, and SO2 (R2CO = 0.63, R2O3 = 0.6, R2NO2 = 0.54, R2SO2 = 0.55). The LGBM model provided higher optimality for NO2 and PM2.5 (R2NO2 = 0.56, R2PM2.5 = 0.88), while the XGB model exhibited higher accuracy for the PM10 (R2PM10 = 0.88). Regarding the results obtained from the statistical models, it can be inferred that the RF model has superior performance in the forecasting of gaseous pollutants. Moreover, the XGB and LGBM models exhibited comparable performance and therefore may be regarded as appropriate options for PM prediction. The findings from the simulations indicated that a rise in an individual pollutant likely leads to an increase in other pollutants. Consequently, implementing air quality management strategies for a specific pollutant meaningfully, directly influences other pollutants, highlighting the significance of considering the chemical aspect of air pollutants interaction and enforcing air pollution management rules.

Gaseous air quality and health risk assessment of high school kitchens in the Kumasi Metropolis

Cooking is a major factor that affects the quality of indoor air especially in kitchens. It is a daily activity essential for supplying the requisite energy and nutrients for living through food consumption. Exposure to air pollutants from cooking with solid fuels in domestic and commercial kitchens is a leading health risk in developing nations like Ghana. Real-time monitoring of gaseous pollutants (CO, SO2, NO2) was done during eight hours of occupational cooking in different cookstove kitchens of 14 Senior High Schools in the Kumasi Metropolis, Ghana. The traditional and improved cookstove kitchens were fueled by firewood whereas the briquette cookstove kitchens were fueled by palm kernel shell briquette. The observed median concentrations in the kitchens were 0.43–39.44 mg m−3 for CO, 0.07–0.36 mg m−3 for NO2, and 0.19–0.61 mg m−3 for SO2. The concentrations in the traditional and briquette cookstove kitchens exceeded the respective World Health Organization (WHO) thresholds of 4 mg m−3 for CO, 0.025 mg m−3 for NO2, and 0.04 mg m−3 for SO2 mg m−3. The air quality index of traditional cookstove kitchens was classified as hazardous for human occupancy. Hazard indices > 1 revealed the likelihood of significant non-carcinogenic health risks for cooks’ occupational exposure to gaseous pollutants in all the cookstove kitchens. This study is essential as it informs on gaseous air quality during large-scale cooking within institutional kitchens with different cookstove types in a developing country. The study fills a gap in literature by providing real-time concentrations of gaseous air pollutants to which cooks in high school kitchens of a developing country are occupationally exposed. The study recommends the urgent transition of large-scale kitchens in developing countries to cleaner energies and cookstove types, alongside regular monitoring and enforcement of air quality guidelines, to safeguard occupational health.

Research on accident early warning of metallurgical enterprises based on grey DEMATEL/ISM and Bayesian network

To clarify the complex relationship between the factors causing safety accidents in metallurgical enterprises and predict the risk of accidents in enterprises, a correlation analysis model of the factors causing safety accidents in metallurgical enterprises based on grey Decision-Making Trial and Evaluation Laboratory/Interpretative Structural Modeling (DEMATEL/ISM) was established, and a Bayesian network early warning model was constructed on this basis. The relationship and action path of accident-causing factors in metallurgical enterprises were clarified. The factors were hierarchically divided and a multi-layer hierarchical structure model was established to obtain the neighboring cause, transitional cause, and essential cause of the accident. The results showed that the employee violation rate, the hazardous substances reserves, the toxic gas and dust pollution control compliance rate, the pass rate for equipment maintenance, and the qualification rate of special equipment were the neighboring causes of the accident. The perfection of the safety production management system was the essential cause. The Bayesian network early warning model was applied to the Fuxin Jiuxing Titanium work site. The expected risk probability of an accident was 17.9%, which was in a comparatively safe state (State2). The results obtained by the Bayesian model are consistent with those obtained by AHP and fuzzy comprehensive evaluation method, which proved the accuracy of the early warning model. The Bayesian model can give the risk probability value of the accident and the risk probability value of the accident cause factors at the same time, and include the causal relationship and conditional correlation relationship among the indicator variables in the reasoning process, which can provide targeted technical support for the construction of the emergency system of risk classification management and control.

Application of gene expression programing in predicting the concentration of PM2.5 and PM10 in Xi’an, China: a preliminary study

Introduction: Traditional statistical methods cannot find quantitative relationship from environmental data.Methods: We selected gene expression programming (GEP) to study the relationship between pollutant gas and PM2.5 (PM10). They were used to construct the relationship between pollutant gas and PM2.5 (PM10) with environmental monitoring data of Xi’an, China. GEP could construct a formula to express the relationship between pollutant gas and PM2.5 (PM10), which is more explainable. Back Propagation neural networks (BPNN) was used as the baseline method. Relevant data from January 1st 2021 to April 26th 2021 were used to train and validate the performance of the models from GEP and BPNN.Results: After the models of GEP and BPNN constructed, coefficient of determination and RMSE (Root Mean Squared Error) are used to evaluate the fitting degree and measure the effect power of pollutant gas on PM2.5 (PM10). GEP achieved RMSE of [8.7365–14.6438] for PM2.5; RMSE of [13.2739–45.8769] for PM10, and BP neural networks achieved average RMSE of [13.8741–34.7682] for PM2.5; RMSE of [29.7327–52.8653] for PM10. Additionally, experimental results show that the influence power of pollutant gas on PM2.5 (PM10) situates between −0.0704 and 0.6359 (between −0.3231 and 0.2242), and the formulas are obtained with GEP so that further analysis become possible. Then linear regression was employed to study which pollutant gas is more relevant to PM2.5 (PM10), the result demonstrates CO (SO2, NO2) are more related to PM2.5 (PM10).Discussion: The formulas produced by GEP can also provide a direct relationship between pollutant gas and PM2.5 (PM10). Besides, GEP could model the trend of PM2.5 and PM10 (increase and decrease). All results show that GEP can be applied smoothly in environmental modelling.

The Impact of Additives on Gaseous Pollutants from the Combustion of Various Solid Fuels

This article compares the emission of gaseous pollutants such as CO2, CO, NO, SO2, and HCl emissions from the combustion of the selected most popular solid fuels in a low-power boiler. The process was carried out under controlled conditions on a laboratory stand equipped with a Moderator Unica Vento Eko 25 kW boiler. Solid fuels were selected for comparison, such as hard coal with granulation above 60 mm, hard coal with a granulation of 25–80 mm, hard coal with a granulation of 8–25 mm, wood pellets, and mixed firewood. The experiment was carried out in two stages. In stage 1, previously selected solid fuels were combusted under controlled repeatable conditions, while simultaneously measuring gaseous components in the exhaust gases in real time. On the other hand, the second stage involves the combustion of the same fuels under the same conditions with combustion additives that modify the combustion process in terms of reducing the emission of pollutants. At the same time, in the second stage, gaseous components in the exhaust gas were also measured in real time. The experiments carried out have shown that, in addition to the additive, a testing system should be used to assess the profitability and improve the efficiency of energy production and distribution after using a given additive for fuel combustion. Implementation of the use of solid fuel activators on a common scale should also entail research on the emission of dioxins and furans, which may be emitted in increased amounts under the influence of some components contained in combustion modifiers.

Torrefaction of Cassia fistula seeds for sequestration of aqueous and gaseous pollutants: Experimental and computational approach

Contamination of water bodies due to pharmaceutical pollutants including antibiotics is growing day by day due to enhanced consumption of these molecules. Biochar is a competent material for wastewater treatment due to ease of preparation as well as high adsorption capability towards desired pollutants. Cassia fistula biochar (CFB) was prepared by torrefaction process in an inert atmosphere. Owing to a large surface area of 672.3 m2/g, the purpose of this work is to carry out adsorption studies of three antibiotics, namely, ciprofloxacin (CFX), levofloxacin (LVX) and diclofenac sodium (DFC) in aqueous phase as well as for the sequestration of carbon dioxide in gaseous phase. The batch adsorption studies were carried and effects of various operational conditions were studied. The maximum adsorption capacities for CFX, LVX, and DFC were found to be 607.86 mg/g, 68.27 mg/g and 160.51 mg/g respectively under the optimum pH 6.0 for all the three adsorbates, contact time of 60 minutes for CFX, LVX and 20 minutes for DFC at room temperature condition of 298 K. Various operational parameters were optimized using Response Surface Methodology (RSM). Isotherm and kinetics studies for the adsorption of all three drugs followed Langmuir model (R2 >0.99) and pseudo-second order kinetics (R2 >0.95). Thermodynamic studies show the adsorption of all three drugs were enthalpy driven spontaneous processes. Fixed bed studies were performed showing the applicability of CFB for larger sample volumes. DFT calculations showed strong attractive interaction of CFB with all the three drug molecules. The same material has been applied for capture of carbon dioxide at different temperatures. The CO2 capture studies showed maximum adsorption capacity of 64.78 cc/g at 273 K owing to activation of CFB with high CO2 selectivity of 14.29 with respect to nitrogen. Hence, a multipurpose adsorbent has been thoroughly studied with environmental sustainability factor of 0.03.

The formation process of the gaseous pollutant emissions in pure ammonia fueled engines with pre-chamber jet ignition

Ammonia, as a carbon-free fuel, can serve as an alternative fuel for future engines, which is consistent with the requirements of national carbon reduction policies. However, the higher concentrations of NOx, unburned ammonia and hydrogen emissions of ammonia-fueled engines need to be controlled seriously to meet the increasingly stringent emission regulations. In this study, a pre-chamber jet ignition single-cylinder engine with port pure ammonia injection was carried. The formation process of gaseous pollutants during engine operation was investigated using CFD simulations in the equivalence ratio range of 0.8–1.3. And, the study also discusses different methods for reducing gaseous pollutant emissions. The results reveal that under lean burn conditions, the ITE can exceed 49%, and unburned ammonia and hydrogen emissions are extremely low. However, the NO emission concentration is relatively high, reaching above 1500 × 10−6, and primarily dominated by thermal NO. N2O is primarily distributed near the flame front, The low temperature at the cylinder walls decelerates the pyrolysis of N2O, coupled with the influence of secondary combustion, both leading to higher N2O emission concentrations, with maximum value reaching 78.6 × 10−6. NO2 emissions are primarily generated in the burned regions. Under rich burn conditions, the ITE significantly decreases, with an ITE of only 34.6% at an equivalence ratio of 1.3. The unburned ammonia emissions rise with an increase in the equivalence ratio, and hydrogen emissions are mainly generated through the pyrolysis of residual ammonia in the burned region, so that the elevated unburned ammonia emissions could lead to an increase in hydrogen emissions. Fuel NO is dominant in NO emissions, and the reduction reaction of unburned ammonia results in extremely low emission concentrations, and also leading to the low levels of N2O and NO2 emissions. According to a comprehensive evaluation of pollutant emissions and engine thermal efficiency, stoichiometric condition is deemed optimal for engine operation, as it can achieve a balance between ITE and gaseous pollutant emissions. Moreover, the adoption of water injection technology can further reduce NOx emissions. Furthermore, the EGR technology and direct liquid ammonia injection will also achieve lower NOx emissions. However, it is insufficient to meet the national emission regulations that only controlling gaseous pollutant emissions during the combustion, and development of the special aftertreatment systems for ammonia fueled engines should not be neglected.

Short-term exposure to gaseous ambient pollution and hospital admissions for mental health among children and adolescents: A time-stratified case-crossover study

Little evidence has demonstrated the linkage of gaseous air pollution and hospitalization rates for mental diseases among children and adolescents in China. Based on a time-stratified case-crossover design among children and adolescents in nine cities, Sichuan, a conditional logistic regression and a concentration-response (C–R) curve model were applied to investigate mental disorders in relation to gaseous air pollutants exposure at lag 0-lag 7, and lag 01-lag 07. Hospitalization costs were calculated through the attributable risk method. With daily data from official environmental monitoring centers, individual daily mean ambient pollutants estimates were evaluated via Inverse Distance Weighted method. Daily hospitalized records for mental illness were collected from medical organization or/and institutions from January 2016 to December 2019. There were 11479 inpatients suffering depression, anxiety, and/or other mental disorders. In single- and cumulative-day-lag analyses, with each 10 μg/m3 increment of NO2, SO2, and O3, the greatest odds ratio (OR) for all-cause mental disorders were 1.114 (95% confidence interval [CI]: 1.067–1.164) (lag 0), 1.219 (95% CI: 1.040–1.430) (lag 4), and 1.039 (95% CI: 1.009–1.069) (lag 7), separately. Stronger associations were found in inpatients hospitalized in warm days in SO2 analysis. C–R curve showed that all-cause mental disorders hospitalizations were positively related to SO2 and O3 exposure at relative high levels. During study period, the total economic cost of hospitalization for all-cause mental disorders caused by NO2 pollution was 94.71 million CNY. These findings indicated that gaseous air pollutants exposure may increase the risk and economic burdens of mental disorders among children and adolescents.

Assistance Innovation In Organic Waste Management As A Hydroponic Media Substrate Building A Green Future

Organic waste management is becoming increasingly important in responding to current global environmental challenges. In this context, this community service aims to explore the potential for using organic waste as a substrate for hydroponic media in building a greener agricultural future in a sustainable system. The use of organic waste as a substrate for hydroponic media has great potential in supporting plant growth, because it contains available N, P2O5, K2O and C-organic nutrients which are sufficient for plant growth and development. Plants grown in organic waste-based substrates show comparable or even better growth compared to plants grown in conventional substrates. The use of organic waste in hydroponic farming also has a positive impact on the environment. More effective management of organic waste helps reduce environmental pollution and greenhouse gas emissions. This community service program has also succeeded in increasing public awareness and knowledge about organic waste management and hydroponic technology. Thus, the use of organic waste as a substrate for hydroponic media offers great potential in improving organic waste management, increasing agricultural productivity, and reducing negative impacts on the environment. This activity makes a real contribution to building a more sustainable agricultural future and contributes to global efforts in facing increasingly complex environmental challenges.

Robust control of charged particles position in a homogeneous isotropic turbulence using an electric field

This research investigates the position control of spherical charged particles suspended in a directly simulated homogeneous isotropic turbulence, which has the potential to improve the efficiency of the electrostatic precipitators (ESPs) in removing gaseous pollutants. To do this, the electric field used in ESPs is controlled by the sliding mode control method to steer the particles toward their desired positions. The particles are charged using the field charging method, which leads to electrical interactions between them. Employing the linked-list method reduces the computational cost related to these interaction forces. The dynamics of particles is simulated using the Maxey–Riley equation including the control force. Coupling the direct numerical simulation solver with the proposed control method and the linked-list scheme, along with solving the particle dynamics, complicates the problem from a control theory point of view. The robustness of the proposed model-free control method leads to overcoming disturbances and uncertainties in the simulation due to turbulence and repulsive electric forces. Hence, steering a large number of charged particles to places with more pollution concentration or increasing the duration of exposure of the particles to gaseous pollutants becomes possible. The findings of the present research are pertinent to improving the performance of air purification equipment.

Adenosine protects cardiomyocytes against acrolein-induced cardiotoxicity by enhancing mitochondrial homeostasis, antioxidant defense, and autophagic flux via ERK-activated FoxO1 upregulation

Acrolein is a ubiquitous gaseous air pollutant and endogenous toxicant, which poses strong risk for oxidative stress-related diseases such as cardiovascular disease. Adenosine has been identified as potential therapeutic agent for age-related cardiovascular disease, while the molecular mechanisms underlying its cardioprotection remain elusive. In the present study, we investigated the myocardial protective effects and the mechanism of adenosine on acrolein-induced toxicity in H9c2 cells and primary neonatal rat cardiomyocytes. We found that acrolein caused apoptosis of cardiomyocytes resulting from oxidative damage, autophagy defect, and mitochondrial dysfunction, as evidenced by loss of mitochondrial membrane potential, impairment of mitochondrial biogenesis, dynamics, and oxidative phosphorylation, decrease of mitochondrial deoxyribonucleic acid (mtDNA) copy number and adenosine 5’-triphosphate (ATP) production. Adenosine pretreatment protected against acrolein-induced cardiotoxicity by maintaining mitochondrial homeostasis, activating the phase II detoxifying enzyme system, promoting autophagic flux, and alleviating mitochondrial-dependent apoptosis. We further demonstrated that the up-regulation of forkhead box protein O1 (FoxO1) mediated by extracellular regulated protein kinases (ERK) activation contributes to the cardioprotection of adenosine. These results expand the application of adenosine in cardioprotection to preventing myocardial damages induced by environmental pollutant acrolein exposure, and uncover the adenosine-ERK-FoxO1 axis as the underlying mechanism mediating the protection of mitochondrial homeostasis, Nrf2-mediated antioxidant defense and autophagic flux, shedding light on the better understanding about the pathological mechanism of cardiovascular disease caused by environmental pollutants and applications of adenosine in cardioprotection.

Quantifying the Co-benefits of Air Pollution and Greenhouse Gas emission mitigation by operating Metro Line 1 in Ho Chi Minh City, Vietnam

Abstract Motorcycles, cars, and buses in urban areas contribute significantly to greenhouse gas (GHG) emissions and air pollutants. Particularly, Ho Chi Minh City (HCMC) has the highest vehicle traffic intensity in Vietnam. To improve the traffic system, HCMC has implemented urban railway projects, and this research aims to quantify the co-benefits of these public transport systems. The study used the EMISENS model and the TAMP-EARMOD simulation model system to assess the current situation and to predict the GHG and air pollution emissions when Metro Line 1 (Ben Thanh – Suoi Tien) operates stably. The reduction of air pollution and GHG is calculated to identify the co-benefits when a part of personal transport means is substituted by Metro Line 1. The results show that, if Metro Line 1 is put into operation and reaches 80% of its transport capacity, the air emissions on the route parallel to Metro Line 1 decrease 429.94 tons/year, 13,639.32 tons/year, 11.36 tons/year, 1,137.84 tons/year, 24.27 tons/year for NOx, CO, SO2, NMVOC, and PM2.5, respectively. Importantly, the emission of CO2eq reduces above 49.6 million tons per year, equivalent to 25.4%. Based on these results, the study proposes measures to optimize the deployment of Metro Line 1 to maximize the attainment of co-benefits.