Pub Date : 2024-06-18DOI: 10.1016/j.aeaoa.2024.100274
Mizuki Yamane, Akira Tani
Plant leaves absorb some kinds of volatile organic compounds (VOCs) and can contribute to air purification, as revealed by recent exposure experiments conducted at environmentally realistic concentrations in ppb (v/v). However, the mechanisms underlying VOC absorption by plants remain unclear. In this study, we applied Fick's first law of diffusion to a VOC absorption model for plant leaves to account for the VOC diffusion process via stomata, air-liquid partitioning, partitioning into the plasma membrane, and metabolic conversion of the VOC in plant cells. The resistance and concentration of VOCs at individual sites were determined using previously reported absorption data for aliphatic aldehydes and ketones in three plant species and the leaf morphology parameters obtained from leaf cross-section micrographs. The highest resistance occurred at the metabolic site (rmet), suggesting that VOC metabolic capacity is the most influential factor in VOC absorption. The resistance of stomata (rs) or plasma membrane (rpl) was the second highest, depending on compound family. Using the absorption rate data of Q. acutissima, it is revealed that metabolic site resistance rmet for methyl vinyl ketone is affected by light intensity. Thus, our VOC absorption model can determine the most influential site in the absorption pathway both for different VOCs and plant species. Our model can contribute to the development of plant-based strategies for controlling air pollution.
{"title":"An absorption model of volatile organic compound by plant leaf: The most influential site in the absorption pathway","authors":"Mizuki Yamane, Akira Tani","doi":"10.1016/j.aeaoa.2024.100274","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100274","url":null,"abstract":"<div><p>Plant leaves absorb some kinds of volatile organic compounds (VOCs) and can contribute to air purification, as revealed by recent exposure experiments conducted at environmentally realistic concentrations in ppb (v/v). However, the mechanisms underlying VOC absorption by plants remain unclear. In this study, we applied Fick's first law of diffusion to a VOC absorption model for plant leaves to account for the VOC diffusion process via stomata, air-liquid partitioning, partitioning into the plasma membrane, and metabolic conversion of the VOC in plant cells. The resistance and concentration of VOCs at individual sites were determined using previously reported absorption data for aliphatic aldehydes and ketones in three plant species and the leaf morphology parameters obtained from leaf cross-section micrographs. The highest resistance occurred at the metabolic site (<em>r</em><sub><em>met</em></sub>), suggesting that VOC metabolic capacity is the most influential factor in VOC absorption. The resistance of stomata (<em>r</em><sub><em>s</em></sub>) or plasma membrane (<em>r</em><sub><em>pl</em></sub>) was the second highest, depending on compound family. Using the absorption rate data of <em>Q. acutissima</em>, it is revealed that metabolic site resistance <em>r</em><sub><em>met</em></sub> for methyl vinyl ketone is affected by light intensity. Thus, our VOC absorption model can determine the most influential site in the absorption pathway both for different VOCs and plant species. Our model can contribute to the development of plant-based strategies for controlling air pollution.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"23 ","pages":"Article 100274"},"PeriodicalIF":4.6,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000418/pdfft?md5=45560bbfd7501f9748bf639a7bbd5dc6&pid=1-s2.0-S2590162124000418-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141429704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-17DOI: 10.1016/j.aeaoa.2024.100273
C.C. Mulvenna, M.E.E. Ball
Ammonia (NH3) is an important pollutant, with serious negative environmental effects. With targets to reduce the total emissions at a United Kingdom level by 2030, it is important to quantify the emissions from contributing sectors to understand the current state for future mitigation strategies. The objective of this work was to establish an updated NH3 emission factor for broiler production in Northern Ireland. NH3 was measured on two identical broiler houses following the principles of the VERA 2.0 protocol across one year's production which encompassed at least six continuous measurement periods of a minimum of 24 h. The NH3 emissions calculated during this work did not statistically differ between the site (P = 0.275) or house (P = 0.631). NH3 emissions increased with progressing bird age (P < 0.001). NH3 emissions were not influenced by outside environmental conditions. The current study updated the NH3 emission factor for mechanically ventilated, confined broiler systems in Northern Ireland to 0.024 kg/bird place/year, 10.1 %TAN or 42.6 g/LU/d which is 29% lower in comparison to the previous the figure of 0.034 kg/bird place/year reported by The UK Ammonia Inventory.
{"title":"Assessment of the ammonia emissions from conventional, mechanically ventilated broiler houses in Northern Ireland","authors":"C.C. Mulvenna, M.E.E. Ball","doi":"10.1016/j.aeaoa.2024.100273","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100273","url":null,"abstract":"<div><p>Ammonia (NH<sub>3</sub>) is an important pollutant, with serious negative environmental effects. With targets to reduce the total emissions at a United Kingdom level by 2030, it is important to quantify the emissions from contributing sectors to understand the current state for future mitigation strategies. The objective of this work was to establish an updated NH<sub>3</sub> emission factor for broiler production in Northern Ireland. NH<sub>3</sub> was measured on two identical broiler houses following the principles of the VERA 2.0 protocol across one year's production which encompassed at least six continuous measurement periods of a minimum of 24 h. The NH<sub>3</sub> emissions calculated during this work did not statistically differ between the site (P = 0.275) or house (P = 0.631). NH<sub>3</sub> emissions increased with progressing bird age (P < 0.001). NH<sub>3</sub> emissions were not influenced by outside environmental conditions. The current study updated the NH<sub>3</sub> emission factor for mechanically ventilated, confined broiler systems in Northern Ireland to 0.024 kg/bird place/year, 10.1 %TAN or 42.6 g/LU/d which is 29% lower in comparison to the previous the figure of 0.034 kg/bird place/year reported by The UK Ammonia Inventory.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"23 ","pages":"Article 100273"},"PeriodicalIF":3.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000406/pdfft?md5=c6597222d5d157a9912fe0279a929fb5&pid=1-s2.0-S2590162124000406-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141486909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-15DOI: 10.1016/j.aeaoa.2024.100272
Mohammad Kazem Shahbazinasab , Mohammad Reza Rahimpour , Payam Setoodeh , Hamed Peyrovedin , Nargess Kargari
In today's industrial landscape, energy management, process modification, and reduction of atmospheric concentrations of pollutants and safety risks have become paramount. This focus is driven by the need to address environmental concerns, economic efficiency, and the global energy and climate change crisis. In gas refineries, incinerators are widely used to convert deadly and environmentally polluting acid gases into less hazardous gases. Therefore, improving incinerator performance can significantly impact environmental, economic, and energy aspects. According to the results of an energy management study at the domestic gas processing plant, the acid gas incineration unit was identified as a significant energy use. Therefore, based on the effects of the performance of this incinerator from environmental and energy points of view, the mentioned unit was prioritized for modification in this work. For this purpose, incinerator performance was assessed using Promax simulation, and Hazard and Operability (HAZOP) analysis was employed to identify potential hazards. The simulations revealed that acid gas residence time was 0.81s, longer than the 0.6s initial design with the damper in place. This suggests damper removal is feasible. Removing the damper reduces residence time and lowers incinerator temperature, especially during startup. Therefore, temperature was considered as the keyword in the HAZOP study, and a number of recommendations were proposed to eliminate or mitigate the risks of system modification. Furthermore, the assistance of results obtained from energy management based on ISO 50001:2018 standards confirm improvements in energy efficiency and fuel consumption, which have positive economic and environmental impacts. Moreover, the study employs a Life Cycle Assessment (LCA) approach using SimaPro Software 9.5.0.1 and the CML-baseline method (Centrum voor Milieukunde Leiden) for environmental impact assessment. The results reveal that, across ten environmental impact categories, the modified project exhibits significantly reduced environmental impacts compared to its original state.
{"title":"Performance modification of an acid gas incinerator to reduce atmospheric pollutants impact: Energy management, HAZOP and LCA analyses","authors":"Mohammad Kazem Shahbazinasab , Mohammad Reza Rahimpour , Payam Setoodeh , Hamed Peyrovedin , Nargess Kargari","doi":"10.1016/j.aeaoa.2024.100272","DOIUrl":"10.1016/j.aeaoa.2024.100272","url":null,"abstract":"<div><p>In today's industrial landscape, energy management, process modification, and reduction of atmospheric concentrations of pollutants and safety risks have become paramount. This focus is driven by the need to address environmental concerns, economic efficiency, and the global energy and climate change crisis. In gas refineries, incinerators are widely used to convert deadly and environmentally polluting acid gases into less hazardous gases. Therefore, improving incinerator performance can significantly impact environmental, economic, and energy aspects. According to the results of an energy management study at the domestic gas processing plant, the acid gas incineration unit was identified as a significant energy use. Therefore, based on the effects of the performance of this incinerator from environmental and energy points of view, the mentioned unit was prioritized for modification in this work. For this purpose, incinerator performance was assessed using Promax simulation, and Hazard and Operability (HAZOP) analysis was employed to identify potential hazards. The simulations revealed that acid gas residence time was 0.81s, longer than the 0.6s initial design with the damper in place. This suggests damper removal is feasible. Removing the damper reduces residence time and lowers incinerator temperature, especially during startup. Therefore, temperature was considered as the keyword in the HAZOP study, and a number of recommendations were proposed to eliminate or mitigate the risks of system modification. Furthermore, the assistance of results obtained from energy management based on ISO 50001:2018 standards confirm improvements in energy efficiency and fuel consumption, which have positive economic and environmental impacts. Moreover, the study employs a Life Cycle Assessment (LCA) approach using SimaPro Software 9.5.0.1 and the CML-baseline method (Centrum voor Milieukunde Leiden) for environmental impact assessment. The results reveal that, across ten environmental impact categories, the modified project exhibits significantly reduced environmental impacts compared to its original state.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"23 ","pages":"Article 100272"},"PeriodicalIF":3.8,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259016212400039X/pdfft?md5=18f341f549c1de15fb6f27c52131ea46&pid=1-s2.0-S259016212400039X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141405132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100270
Xin Xu , Qian You , Zheng Zhang , Zimeng Zhao , Zhaotong Wang , Bidi Zhang , Xin Bo
The emissions from the civil aviation sector are a significant source of CO2 and air pollutants, which represent a serious threat to ambient air quality and public health. To gain a deeper understanding of civil aviation airport emissions, it is imperative to develop a precise and comprehensive emission inventory of China's civil aviation airports. However, there are limited studies dedicated to analyzing and verifying the accuracy and completeness of China's civil aviation emission inventory. Here, this study explored pollution characteristics from temporal trends and spatial distribution perspectives based on a previously developed 2019–2020 high-resolution air pollution and CO2 emission inventory of the landing and take-off (LTO) cycle of civil aviation airports in China and the ChinaHighAirPollutants (CHAP) dataset. Besides, this study established an empirical model to evaluate the relationship between the air pollutant emissions of China's civil aviation sector in 2019–2020 and the pollutant concentration from the CHAP dataset. Compared to those in 2019, the total NOx, CO, PM, and SO2 emissions during the LTO phase in China's civil aviation sector in 2020 decreased by 14.29%–24.32%, and the average concentrations of NO2, CO, PM10, and SO2 in 2020 decreased by 6.33%–9.45%. The eastern, central, and southern regions of China are characterized by high emissions of pollutants, a phenomenon closely related to the economic prosperity and tourism development in these areas. They tend to boast higher route densities, increasing air transport activity and consequently resulting in elevated emissions. In addition, NOx had the highest correlation coefficient in the empirical model, with a correlation coefficient of 0.603 in 2019. Our findings provide new insights into civil aviation emissions in China from the analysis of the emission inventory of air pollutants and the CHAP dataset and provide a new method for verifying the accuracy and completeness of China's civil aviation emission inventory.
民航业是二氧化碳和空气污染物的重要排放源,对环境空气质量和公众健康构成严重威胁。为了更深入地了解民航机场的排放情况,当务之急是编制一份精确、全面的中国民航机场排放清单。然而,专门用于分析和验证中国民航排放清单准确性和完整性的研究十分有限。在此,本研究基于之前开发的 2019-2020 年中国民航机场起降(LTO)周期高分辨率空气污染和二氧化碳排放清单以及中国高空污染物(CHAP)数据集,从时间趋势和空间分布角度探讨了污染特征。此外,本研究还建立了一个实证模型来评估 2019-2020 年中国民航大气污染物排放与 CHAP 数据集污染物浓度之间的关系。与2019年相比,2020年中国民航LTO阶段氮氧化物、一氧化碳、可吸入颗粒物和二氧化硫排放总量下降了14.29%-24.32%,2020年氮氧化物、一氧化碳、可吸入颗粒物和二氧化硫平均浓度下降了6.33%-9.45%。中国东部、中部和南部地区的污染物排放量较高,这一现象与这些地区的经济繁荣和旅游业发展密切相关。这些地区的航线密度较高,增加了航空运输活动,从而导致排放量增加。此外,在实证模型中,氮氧化物的相关系数最高,2019 年的相关系数为 0.603。我们的研究结果通过对大气污染物排放清单的分析和 CHAP 数据集,为中国民航排放提供了新的见解,并为验证中国民航排放清单的准确性和完整性提供了新的方法。
{"title":"Insights into civil aviation emissions in China: Analysis of an emission inventory of air pollutants and the ChinaHighAirPollutants (CHAP) dataset","authors":"Xin Xu , Qian You , Zheng Zhang , Zimeng Zhao , Zhaotong Wang , Bidi Zhang , Xin Bo","doi":"10.1016/j.aeaoa.2024.100270","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100270","url":null,"abstract":"<div><p>The emissions from the civil aviation sector are a significant source of CO<sub>2</sub> and air pollutants, which represent a serious threat to ambient air quality and public health. To gain a deeper understanding of civil aviation airport emissions, it is imperative to develop a precise and comprehensive emission inventory of China's civil aviation airports. However, there are limited studies dedicated to analyzing and verifying the accuracy and completeness of China's civil aviation emission inventory. Here, this study explored pollution characteristics from temporal trends and spatial distribution perspectives based on a previously developed 2019–2020 high-resolution air pollution and CO<sub>2</sub> emission inventory of the landing and take-off (LTO) cycle of civil aviation airports in China and the ChinaHighAirPollutants (CHAP) dataset. Besides, this study established an empirical model to evaluate the relationship between the air pollutant emissions of China's civil aviation sector in 2019–2020 and the pollutant concentration from the CHAP dataset. Compared to those in 2019, the total NOx, CO, PM, and SO<sub>2</sub> emissions during the LTO phase in China's civil aviation sector in 2020 decreased by 14.29%–24.32%, and the average concentrations of NO<sub>2</sub>, CO, PM<sub>10</sub>, and SO<sub>2</sub> in 2020 decreased by 6.33%–9.45%. The eastern, central, and southern regions of China are characterized by high emissions of pollutants, a phenomenon closely related to the economic prosperity and tourism development in these areas. They tend to boast higher route densities, increasing air transport activity and consequently resulting in elevated emissions. In addition, NOx had the highest correlation coefficient in the empirical model, with a correlation coefficient of 0.603 in 2019. Our findings provide new insights into civil aviation emissions in China from the analysis of the emission inventory of air pollutants and the CHAP dataset and provide a new method for verifying the accuracy and completeness of China's civil aviation emission inventory.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100270"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000376/pdfft?md5=1cd7d3e7fac18c6ede6fd077bd46eb9f&pid=1-s2.0-S2590162124000376-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141243647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100259
Gunnar Quante , Steffen Voß , Nils Bullerdiek , Christiane Voigt , Martin Kaltschmitt
Aviation contributes about 4 % of global anthropogenic climate forcing primarily by contrails, CO2 and NOx emissions. Renewably sourced aviation kerosene can help to reduce the climate impact from CO2 and from contrails, but so far, its production capacities are very small. Hence, the climate impact of using fossil fuel-based kerosene with a hydrogen content increased by hydroprocessing as short term mitigation measure is studied here. Therefore, the change in net energy forcing (ΔEFnet) in 2019 is calculated as the sum of the change in contrail energy forcing (ΔEFcontrail) and additional CO2 emissions (ΔEFhydroprocessing) from aviation kerosene hydroprocessing (ΔEFnet = ΔEFcontrail + ΔEFhydroprocessing). The results show that hydroprocessed aviation kerosene can reduce the net energy forcing EFnet by about 33 % with ΔEFhydroprocessing penalty of 5 %-points. Increasing the hydroprocessing severity increases the relative climate benefit, which is only slightly affected by the emissions factor for hydroprocessing or the choice of the time horizon. Data limitations about fuel composition and its effect on contrails and climate cause considerable uncertainties and the fuel's compliance with specification standards needs consideration. This study on the climate effect of hydroprocessed fossil kerosene can help to assess near-term measures to reduce the climate impact from aviation.
{"title":"Hydroprocessing of fossil fuel-based aviation kerosene – Technology options and climate impact mitigation potentials","authors":"Gunnar Quante , Steffen Voß , Nils Bullerdiek , Christiane Voigt , Martin Kaltschmitt","doi":"10.1016/j.aeaoa.2024.100259","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100259","url":null,"abstract":"<div><p>Aviation contributes about 4 % of global anthropogenic climate forcing primarily by contrails, CO<sub>2</sub> and NO<sub>x</sub> emissions. Renewably sourced aviation kerosene can help to reduce the climate impact from CO<sub>2</sub> and from contrails, but so far, its production capacities are very small. Hence, the climate impact of using fossil fuel-based kerosene with a hydrogen content increased by hydroprocessing as short term mitigation measure is studied here. Therefore, the change in net energy forcing (ΔEF<sub>net</sub>) in 2019 is calculated as the sum of the change in contrail energy forcing (ΔEF<sub>contrail</sub>) and additional CO<sub>2</sub> emissions (ΔEF<sub>hydroprocessing</sub>) from aviation kerosene hydroprocessing (ΔEF<sub>net</sub> = ΔEF<sub>contrail</sub> + ΔEF<sub>hydroprocessing</sub>). The results show that hydroprocessed aviation kerosene can reduce the net energy forcing EF<sub>net</sub> by about 33 % with ΔEF<sub>hydroprocessing</sub> penalty of 5 %-points. Increasing the hydroprocessing severity increases the relative climate benefit, which is only slightly affected by the emissions factor for hydroprocessing or the choice of the time horizon. Data limitations about fuel composition and its effect on contrails and climate cause considerable uncertainties and the fuel's compliance with specification standards needs consideration. This study on the climate effect of hydroprocessed fossil kerosene can help to assess near-term measures to reduce the climate impact from aviation.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100259"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000261/pdfft?md5=373b2138d64d9499a4f0913773ac6db8&pid=1-s2.0-S2590162124000261-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100261
Minghui Tu, Ulf Olofsson
Over recent decades, the adverse impacts of airborne particles on human health have received wide attention. Elevated PM concentrations on underground platforms might pose a significant public health issue within underground metro systems. This study explores the impact of introducing a new type of train on the concentration of airborne particles on an underground metro platform through statistical modelling, analyses interactions between various factors, and estimates air quality on underground platforms after introducing a new type of train. Based on the data from a long-term field measurement, a linear mixed model, the multi-factor interaction model, which is an expansion of a previous multi-factor model, explored the impacts of train operations, passenger flow, urban background PM levels, ventilation, nighttime maintenance work, and their interactions on hourly PM10, PM2.5, and PM1 values on the platform. The model results show a positive correlation between those factors and platform PM10, PM2.5 and PM1 values, with significant interactions among these factors. The new model has a higher estimate quality than the previous model. Based on the combination of the model and measurement results, the levels of underground PM decreased significantly after replacing the old type of trains with new ones.
{"title":"Estimating PM levels on an underground metro platform by exploring a new model-based factor research","authors":"Minghui Tu, Ulf Olofsson","doi":"10.1016/j.aeaoa.2024.100261","DOIUrl":"10.1016/j.aeaoa.2024.100261","url":null,"abstract":"<div><p>Over recent decades, the adverse impacts of airborne particles on human health have received wide attention. Elevated PM concentrations on underground platforms might pose a significant public health issue within underground metro systems. This study explores the impact of introducing a new type of train on the concentration of airborne particles on an underground metro platform through statistical modelling, analyses interactions between various factors, and estimates air quality on underground platforms after introducing a new type of train. Based on the data from a long-term field measurement, a linear mixed model, the multi-factor interaction model, which is an expansion of a previous multi-factor model, explored the impacts of train operations, passenger flow, urban background PM levels, ventilation, nighttime maintenance work, and their interactions on hourly PM10, PM2.5, and PM1 values on the platform. The model results show a positive correlation between those factors and platform PM10, PM2.5 and PM1 values, with significant interactions among these factors. The new model has a higher estimate quality than the previous model. Based on the combination of the model and measurement results, the levels of underground PM decreased significantly after replacing the old type of trains with new ones.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100261"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000285/pdfft?md5=2ac19e65881cbed5e3ce5ac098f5fda0&pid=1-s2.0-S2590162124000285-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141058353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100268
Shubham Dhaka , Shipra Lakshmi , Narendra Ojha , Andrea Pozzer , Amit Sharma
Elevated concentrations of particulate matter (PM) significantly deteriorate the air quality; however, the contributions from regional versus remote anthropogenic sources have remained uncertain over the western Indian region. In this regard, we have performed high-resolution regional modeling (WRF-Chem v3.9.1) to quantify the contribution of regional versus trans-regional anthropogenic sources to PM2.5 (fine PM) and PM2.5-10 (coarse PM) concentrations in contrasting seasons. Seasonal variability in spatial mean Aerosol Optical Depth (AOD) derived from the WRF-Chem model (0.21–0.42) agreed reasonably with MERRA-2 reanalysis (0.29–0.54) and MODIS satellite (0.23–0.51) over western India. Variability in surface PM2.5 and PM10 concentrations were also reproduced as per the benchmarks (|Fractional Bias| ≤ 60% and |Fractional Error| ≤ 75%) at most of the stations in this region. Results from sensitivity simulations reveal the dominant contribution of both regional and trans-regional anthropogenic sources to PM2.5 concentrations over western India in winter and post-monsoon, when PM2.5 concentrations are generally high. On the other hand, contribution from background levels (due to domain-wide natural emissions, fire emissions and pollutant transport from beyond domain boundaries) is highest during pre-monsoon and monsoon with a significant contribution of mineral dust especially to PM2.5-10 (coarse PM). Analysis of PM spatial distribution at ∼900hpa pressure level reveals greater relative contributions of trans-regional emissions and background levels compared to that near the surface. Our study highlights key roles of trans-regional anthropogenic emissions and mineral dust, besides the local and regional emissions, in air pollution over western India. The quantitative analyses presented here would be useful for designing measures to minimize health and environmental impacts in line with the objectives of the National Clean Air Programme (NCAP) in India.
{"title":"Contribution of regional versus trans-regional anthropogenic sources to the particulate matter over western India derived from high-resolution modeling","authors":"Shubham Dhaka , Shipra Lakshmi , Narendra Ojha , Andrea Pozzer , Amit Sharma","doi":"10.1016/j.aeaoa.2024.100268","DOIUrl":"10.1016/j.aeaoa.2024.100268","url":null,"abstract":"<div><p>Elevated concentrations of particulate matter (PM) significantly deteriorate the air quality; however, the contributions from regional versus remote anthropogenic sources have remained uncertain over the western Indian region. In this regard, we have performed high-resolution regional modeling (WRF-Chem v3.9.1) to quantify the contribution of regional versus trans-regional anthropogenic sources to PM<sub>2.5</sub> (fine PM) and PM<sub>2.5-10</sub> (coarse PM) concentrations in contrasting seasons. Seasonal variability in spatial mean Aerosol Optical Depth (AOD) derived from the WRF-Chem model (0.21–0.42) agreed reasonably with MERRA-2 reanalysis (0.29–0.54) and MODIS satellite (0.23–0.51) over western India. Variability in surface PM<sub>2.5</sub> and PM<sub>10</sub> concentrations were also reproduced as per the benchmarks (|Fractional Bias| ≤ 60% and |Fractional Error| ≤ 75%) at most of the stations in this region. Results from sensitivity simulations reveal the dominant contribution of both regional and trans-regional anthropogenic sources to PM<sub>2.5</sub> concentrations over western India in winter and post-monsoon, when PM<sub>2.5</sub> concentrations are generally high. On the other hand, contribution from background levels (due to domain-wide natural emissions, fire emissions and pollutant transport from beyond domain boundaries) is highest during pre-monsoon and monsoon with a significant contribution of mineral dust especially to PM<sub>2.5-10</sub> (coarse PM). Analysis of PM spatial distribution at ∼900hpa pressure level reveals greater relative contributions of trans-regional emissions and background levels compared to that near the surface. Our study highlights key roles of trans-regional anthropogenic emissions and mineral dust, besides the local and regional emissions, in air pollution over western India. The quantitative analyses presented here would be useful for designing measures to minimize health and environmental impacts in line with the objectives of the National Clean Air Programme (NCAP) in India.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100268"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000352/pdfft?md5=9ff69358f76bdae9b60f7c673779f6c2&pid=1-s2.0-S2590162124000352-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141143751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100258
Pablo García, Anna Holm Støckler, Anders Feilberg, Jesper Nørlem Kamp
Emissions from agriculture are a worldwide problem as it is the major anthropogenic source of ammonia, methane, and nitrous oxide. Several efforts have been made to mitigate emissions. To achieve this, reliable measuring techniques are necessary to quantify the impact of the emissions. Different techniques relying on different principles are available. Generally, these techniques demonstrate good agreement on their measurements but there is a lack of studies that thoroughly investigate cross-interferences. In this work, three different models of Cavity Ring-Down Spectrometers measuring ammonia, nitrous oxide, and methane were tested in parallel for potential biases due to interference from ammonia, water vapor, and twelve volatile organic compounds commonly present in agricultural environments. Our results showed a small negative bias with increasing humidity on nitrous oxide and minor interferences of ammonia on nitrous oxide and methane. None of the tested volatile organic compounds interfered with ammonia, methane, or nitrous oxide measurements. Overall, concentration measurements of ammonia, nitrous oxide, and methane with cavity ring-down spectrometry have proven reliable under typical agricultural conditions. Minor interferences were only observed under exceptional conditions.
{"title":"Investigation of non-target gas interferences on a multi-gas cavity ring-down spectrometer","authors":"Pablo García, Anna Holm Støckler, Anders Feilberg, Jesper Nørlem Kamp","doi":"10.1016/j.aeaoa.2024.100258","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100258","url":null,"abstract":"<div><p>Emissions from agriculture are a worldwide problem as it is the major anthropogenic source of ammonia, methane, and nitrous oxide. Several efforts have been made to mitigate emissions. To achieve this, reliable measuring techniques are necessary to quantify the impact of the emissions. Different techniques relying on different principles are available. Generally, these techniques demonstrate good agreement on their measurements but there is a lack of studies that thoroughly investigate cross-interferences. In this work, three different models of Cavity Ring-Down Spectrometers measuring ammonia, nitrous oxide, and methane were tested in parallel for potential biases due to interference from ammonia, water vapor, and twelve volatile organic compounds commonly present in agricultural environments. Our results showed a small negative bias with increasing humidity on nitrous oxide and minor interferences of ammonia on nitrous oxide and methane. None of the tested volatile organic compounds interfered with ammonia, methane, or nitrous oxide measurements. Overall, concentration measurements of ammonia, nitrous oxide, and methane with cavity ring-down spectrometry have proven reliable under typical agricultural conditions. Minor interferences were only observed under exceptional conditions.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100258"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259016212400025X/pdfft?md5=e7a4646785bf2edef0ed02d5f2a9dc30&pid=1-s2.0-S259016212400025X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140552653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100265
A. Sai Krishnaveni, B.L. Madhavan, Chaithanya D. Jain, M. Venkat Ratnam
This study provides an extensive analysis of the spatio-temporal association between particulate matter of 2.5 μm or less (PM2.5) and ground-level Ozone (O3) across four selected urban settlements (Delhi, Bengaluru, Ahmedabad, and Kolkata), and a rural (Gadanki) area in India. Utilizing 4 years (2019–2022) data from multiple sites in India, the study employed the robust linear regression, and deweathering techniques to elucidate the dynamics of PM2.5 and O3 under varying environmental conditions. Key findings include, in urban areas like Kolkata and Bengaluru, PM2.5 and O3 exhibited a consistent year-round positive relationship pre- and post-deweathering. This implies that within these cities, emission sources, and atmospheric chemistry are crucial in shaping the association between PM2.5, and O3 than meteorological conditions. In contrast, negative correlations were more dominant over Delhi and Ahmedabad, which were unaffected by meteorology except in a few seasons. Typically, in Ahmedabad, this relationship differed from the general trend, displaying a positive correlation in winter and a negative in the pre-monsoon season. The rural area of Gadanki presents a unique case where deweathering alters the observed correlations significantly (shifted from positive to negative association), highlighting the dominant role of meteorological factors in driving PM2.5 and O3 relationship in rural settings. Relative humidity (RH), temperature (T), and wind direction (WD) were the key factors influencing PM2.5 and O3 relationship, although their impact varied seasonally and by location. However, the analysis during COVID-19 lockdown highlights the combined impact of meteorology and anthropogenic emissions on PM2.5 and O3 association, rather than the effect of each factor individually. These outcomes emphasize the need to account for both meteorological and non-meteorological factors in the air quality analysis. The findings offer valuable insights into coordinating the control of these pollutants, suggesting that effective air quality control strategies should be tailored to the specific needs and conditions of each region. This approach is crucial for developing more effective and targeted air quality management policies, especially in a diverse and rapidly developing country like India.
{"title":"Spatial, temporal features and influence of meteorology on PM2.5 and O3 association across urban and rural environments of India","authors":"A. Sai Krishnaveni, B.L. Madhavan, Chaithanya D. Jain, M. Venkat Ratnam","doi":"10.1016/j.aeaoa.2024.100265","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100265","url":null,"abstract":"<div><p>This study provides an extensive analysis of the spatio-temporal association between particulate matter of 2.5 μm or less (PM<sub>2.5</sub>) and ground-level Ozone (O<sub>3</sub>) across four selected urban settlements (Delhi, Bengaluru, Ahmedabad, and Kolkata), and a rural (Gadanki) area in India. Utilizing 4 years (2019–2022) data from multiple sites in India, the study employed the robust linear regression, and deweathering techniques to elucidate the dynamics of PM<sub>2.5</sub> and O<sub>3</sub> under varying environmental conditions. Key findings include, in urban areas like Kolkata and Bengaluru, PM<sub>2.5</sub> and O<sub>3</sub> exhibited a consistent year-round positive relationship pre- and post-deweathering. This implies that within these cities, emission sources, and atmospheric chemistry are crucial in shaping the association between PM<sub>2.5</sub>, and O<sub>3</sub> than meteorological conditions. In contrast, negative correlations were more dominant over Delhi and Ahmedabad, which were unaffected by meteorology except in a few seasons. Typically, in Ahmedabad, this relationship differed from the general trend, displaying a positive correlation in winter and a negative in the pre-monsoon season. The rural area of Gadanki presents a unique case where deweathering alters the observed correlations significantly (shifted from positive to negative association), highlighting the dominant role of meteorological factors in driving PM<sub>2.5</sub> and O<sub>3</sub> relationship in rural settings. Relative humidity (RH), temperature (T), and wind direction (WD) were the key factors influencing PM<sub>2.5</sub> and O<sub>3</sub> relationship, although their impact varied seasonally and by location. However, the analysis during COVID-19 lockdown highlights the combined impact of meteorology and anthropogenic emissions on PM<sub>2.5</sub> and O<sub>3</sub> association, rather than the effect of each factor individually. These outcomes emphasize the need to account for both meteorological and non-meteorological factors in the air quality analysis. The findings offer valuable insights into coordinating the control of these pollutants, suggesting that effective air quality control strategies should be tailored to the specific needs and conditions of each region. This approach is crucial for developing more effective and targeted air quality management policies, especially in a diverse and rapidly developing country like India.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100265"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000327/pdfft?md5=23356889a1508935544e72426bd2555d&pid=1-s2.0-S2590162124000327-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141090962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-01DOI: 10.1016/j.aeaoa.2024.100269
Akihiro Yoshimura , Kensuke Mori , Vinas Dan , Tomohisa Kanazawa , Mitsuhiro Yoshimoto , Yasunari Matsuno
Exhaust gas purification is required for the operation of heavy machinery, e.g., construction machinery which mainly uses diesel engines. Precious metals such as the platinum group are used in catalysts for this purpose, which heavily impacts the environment. In this study, the authors evaluated the potential of remanufacturing diesel particulate filters (DPF) to reduce these impacts. Climate change indicators, i.e., global warming potential (GWP), and resource consumption were evaluated.
As a result, the environmental impacts of new product manufacturing, particularly resource production and the manufacturing process, were quantitatively estimated to be significant, while the environmental impacts of the remanufacturing process, product delivery, and disposal of the used products were significantly lower. In addition, 47% of the GWP and 50% of the resource consumption were reduced using remanufactured diesel particulate filters compared with using only new diesel particulate filters.
{"title":"Evaluation of the effect of remanufacturing diesel particulate filters to minimize environmental impacts","authors":"Akihiro Yoshimura , Kensuke Mori , Vinas Dan , Tomohisa Kanazawa , Mitsuhiro Yoshimoto , Yasunari Matsuno","doi":"10.1016/j.aeaoa.2024.100269","DOIUrl":"https://doi.org/10.1016/j.aeaoa.2024.100269","url":null,"abstract":"<div><p>Exhaust gas purification is required for the operation of heavy machinery, e.g., construction machinery which mainly uses diesel engines. Precious metals such as the platinum group are used in catalysts for this purpose, which heavily impacts the environment. In this study, the authors evaluated the potential of remanufacturing diesel particulate filters (DPF) to reduce these impacts. Climate change indicators, i.e., global warming potential (GWP), and resource consumption were evaluated.</p><p>As a result, the environmental impacts of new product manufacturing, particularly resource production and the manufacturing process, were quantitatively estimated to be significant, while the environmental impacts of the remanufacturing process, product delivery, and disposal of the used products were significantly lower. In addition, 47% of the GWP and 50% of the resource consumption were reduced using remanufactured diesel particulate filters compared with using only new diesel particulate filters.</p></div>","PeriodicalId":37150,"journal":{"name":"Atmospheric Environment: X","volume":"22 ","pages":"Article 100269"},"PeriodicalIF":4.6,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590162124000364/pdfft?md5=0351b12a1a7b34cde9876e085542f833&pid=1-s2.0-S2590162124000364-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141243646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}