Atmospheric Pollution Research最新文献_第8页

Characteristics of ozone pollution and VOCs source analysis in the northern cities of Zhejiang, China

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-22 DOI: 10.1016/j.apr.2025.102429

Yinglong Zhang , Xiaoxia Yang , Xu Lin , Ye Lu , Li Li , Xiaopei Xu , Jing Yuan , Fan Zhang , Xinglong Pang , Huanhuan Zhao , Xinming Zhu , Yaozong Shen , Shuang Qiu , Jinhui Gao

As an important industrial area in the Yangtze River Delta region, the northern part of Zhejiang Province, including Hangzhou, Jiaxing and Huzhou, is experiencing severe ozone pollution from 2020 to 2022. By analyzing the observations measured at 23 stations in northern Zhejiang, the spatiotemporal features of the ozone pollution and the relationship between ozone and volatile organic compounds (VOCs) were discussed in this paper. The results revealed that, during the 3 years, the average ozone concentration in three cities increased from 153 to 173 μg m⁻³, and the average ozone-polluted days increased from 29 to 58 days. The relationship between temperature and ozone showed a suppression of temperature on ozone photochemistry when that is higher than 34 °C. The mean concentrations of VOCs were 32.10 ppb and the ozone formation potential were 174.52 μg m⁻³ in Northern Zhejiang in 2022. Among all the observed VOCs species, the concentrations of alkanes and OVOCs could accounted for 30.87.% and 30.35%, however, alkenes and aromatic hydrocarbons were the first two main contributors (24.41% and 36.33%, respectively) to the photochemical production of ozone in northern Zhejiang. The potential source areas of alkenes and aromatic hydrocarbons were complex in northern Zhejiang, the analysis of the Concentration Weighted Trajectory (WCWT) indicated the potential source areas almost exist in all directions. In addition, the surrounding areas with high WCWT value could not be ignored. The regional joint prevention and emission control strategy are required in the ozone pollution control in Northern Zhejiang.

{"title":"Characteristics of ozone pollution and VOCs source analysis in the northern cities of Zhejiang, China","authors":"Yinglong Zhang , Xiaoxia Yang , Xu Lin , Ye Lu , Li Li , Xiaopei Xu , Jing Yuan , Fan Zhang , Xinglong Pang , Huanhuan Zhao , Xinming Zhu , Yaozong Shen , Shuang Qiu , Jinhui Gao","doi":"10.1016/j.apr.2025.102429","DOIUrl":"10.1016/j.apr.2025.102429","url":null,"abstract":"<div><div>As an important industrial area in the Yangtze River Delta region, the northern part of Zhejiang Province, including Hangzhou, Jiaxing and Huzhou, is experiencing severe ozone pollution from 2020 to 2022. By analyzing the observations measured at 23 stations in northern Zhejiang, the spatiotemporal features of the ozone pollution and the relationship between ozone and volatile organic compounds (VOCs) were discussed in this paper. The results revealed that, during the 3 years, the average ozone concentration in three cities increased from 153 to 173 μg m<sup>−3</sup>, and the average ozone-polluted days increased from 29 to 58 days. The relationship between temperature and ozone showed a suppression of temperature on ozone photochemistry when that is higher than 34 °C. The mean concentrations of VOCs were 32.10 ppb and the ozone formation potential were 174.52 μg m<sup>−3</sup> in Northern Zhejiang in 2022. Among all the observed VOCs species, the concentrations of alkanes and OVOCs could accounted for 30.87.% and 30.35%, however, alkenes and aromatic hydrocarbons were the first two main contributors (24.41% and 36.33%, respectively) to the photochemical production of ozone in northern Zhejiang. The potential source areas of alkenes and aromatic hydrocarbons were complex in northern Zhejiang, the analysis of the Concentration Weighted Trajectory (WCWT) indicated the potential source areas almost exist in all directions. In addition, the surrounding areas with high WCWT value could not be ignored. The regional joint prevention and emission control strategy are required in the ozone pollution control in Northern Zhejiang.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102429"},"PeriodicalIF":3.9,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification and characterization of the source water-insoluble single particulate matter in rain events in the province of Isparta

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-21 DOI: 10.1016/j.apr.2025.102427

Murat Kilic

Analyzing atmospheric pollutants in rainwater is crucial for evaluating the environmental impacts of both natural and anthropogenic pollution sources. Literature review indicates that air pollution studies commonly employ the collection of particulate matter (PM) on filters for subsequent analysis. However, this approach may result in significant particle accumulation on the filters, thereby complicating their characterization through semi-quantitative analytical techniques. This study characterized insoluble particulate matter from sequentially collected rainwater samples based on particle size, morphology, and chemical composition. Scanning Electron Microscopy (SEM) coupled with Energy Dispersive X‒Ray Spectrometry (EDS) and a particle size analyzer were utilized. Integrating SEM‒EDS data with particle size distribution analyses, chemical composition results, and upper atmospheric back-trajectory modeling made it possible to identify specific sources of insoluble particles in the rainwater samples. The rainwater samples were also analyzed for pH, electrical conductivity, and major anions and cations. The pH values ranged from 5.92 to 7.43, and electrical conductivity values varied between 6.19 and 102.4 μS/cm. Among the major ions, relatively high concentrations of Ca²⁺, SO₄²⁻, and NO₃⁻ were detected, while lower concentrations of F⁻, Mg²⁺, Na⁺, and Cl⁻ were observed. Elevated Ca²⁺, Mg²⁺, K⁺, and F⁻ levels were linked to local anthropogenic activities, including agricultural practices, biomass burning, and vehicular emissions. Conversely, NH₄⁺, SO₄²⁻, and NO₃⁻ presence was attributed to long-range atmospheric transport. Contributions from sea salt were evidenced by the levels of Cl⁻ and Na⁺ ions.

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引用次数: 0

Modification effects of ambient temperature and relative humidity on acute upper respiratory infection morbidity by PM2.5 components in university students

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-21 DOI: 10.1016/j.apr.2025.102430

Yali Niu , Mengyang Yuan , Feng Jiang , Yongli Yang , Xiaocan Jia , Chaojun Yang , Junzhe Bao , Xuezhong Shi

The present study attempted to investigate the associations of PM_2.5 and its components with the acute upper respiratory infections (AURI) and the modification effects of temperature and relative humidity (RH). Daily AURI visits data were obtained from Zhengzhou university hospital from 2014 to 2019. Distributed lag nonlinear modelling (DLNM) was used to assess the associations between PM_2.5 and its components and AURI morbidity. The modifying effects of temperature and RH on the associations of PM_2.5 and its components with AURI were explored by DLNM with cross-base interaction terms of PM_2.5 and its components with temperature or RH. During the study period, 87,186 university students visited AURI. The relative risk (RR) per interquartile range (IQR) increase for PM_2.5 and its components NO₃⁻, SO₄²⁻, NH₄⁺, BC and OM were 1.03 (0.99, 1.09) and 1.05 (0.99, 1.11), 0.98 (0.93, 1.04), 1.02 (0.97, 1.08), 1.07 (1.02, 1.12), 1.08 (1.03, 1.15), respectively. Low temperature increased the adverse effects of PM_2.5 and its components NO₃⁻, BC, OM. High relative humidity enhanced the adverse effects of PM_2.5 and its components NO₃⁻, NH₄⁺, BC, OM. The adverse effects of NO₃⁻, BC, and OM were only evident in the female university students and during the cold season. PM_2.5 components may adversely affect AURI morbidity in university students. Low temperatures and high relative humidity may exacerbate the deleterious effects of PM_2.5 components. This reminds us to enhance the prevention of AURI caused by PM_2.5 components, especially in cold and humid meteorological conditions.

{"title":"Modification effects of ambient temperature and relative humidity on acute upper respiratory infection morbidity by PM2.5 components in university students","authors":"Yali Niu , Mengyang Yuan , Feng Jiang , Yongli Yang , Xiaocan Jia , Chaojun Yang , Junzhe Bao , Xuezhong Shi","doi":"10.1016/j.apr.2025.102430","DOIUrl":"10.1016/j.apr.2025.102430","url":null,"abstract":"<div><div>The present study attempted to investigate the associations of PM<sub>2.5</sub> and its components with the acute upper respiratory infections (AURI) and the modification effects of temperature and relative humidity (RH). Daily AURI visits data were obtained from Zhengzhou university hospital from 2014 to 2019. Distributed lag nonlinear modelling (DLNM) was used to assess the associations between PM<sub>2.5</sub> and its components and AURI morbidity. The modifying effects of temperature and RH on the associations of PM<sub>2.5</sub> and its components with AURI were explored by DLNM with cross-base interaction terms of PM<sub>2.5</sub> and its components with temperature or RH. During the study period, 87,186 university students visited AURI. The relative risk (RR) per interquartile range (IQR) increase for PM<sub>2.5</sub> and its components NO<sub>3</sub><sup>−</sup>, SO<sub>4</sub><sup>2−</sup>, NH<sub>4</sub><sup>+</sup>, BC and OM were 1.03 (0.99, 1.09) and 1.05 (0.99, 1.11), 0.98 (0.93, 1.04), 1.02 (0.97, 1.08), 1.07 (1.02, 1.12), 1.08 (1.03, 1.15), respectively. Low temperature increased the adverse effects of PM<sub>2.5</sub> and its components NO<sub>3</sub><sup>−</sup>, BC, OM. High relative humidity enhanced the adverse effects of PM<sub>2.5</sub> and its components NO<sub>3</sub><sup>−</sup>, NH<sub>4</sub><sup>+</sup>, BC, OM. The adverse effects of NO<sub>3</sub><sup>−</sup>, BC, and OM were only evident in the female university students and during the cold season. PM<sub>2.5</sub> components may adversely affect AURI morbidity in university students. Low temperatures and high relative humidity may exacerbate the deleterious effects of PM<sub>2.5</sub> components. This reminds us to enhance the prevention of AURI caused by PM<sub>2.5</sub> components, especially in cold and humid meteorological conditions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102430"},"PeriodicalIF":3.9,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on transient emissions prediction for natural gas engine using the tuna swarm optimization-extreme gradient boosting algorithm under worldwide harmonized transient cycle

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-20 DOI: 10.1016/j.apr.2025.102425

Kaimin Liu , Jintao Zhou , Zhongwen Pei , Wenjie Fu , Hanqian Yang , Zhi Jiang , Xiaopeng Feng

Accurate prediction of engine emissions behavior under transient conditions using machine learning is crucial for developing effective emissions control strategies to meet increasingly stringent regulatory demands. To predict transient emissions accurately, this study proposes a novel combination algorithm, which uses the Tuna Swarm Optimization (TSO) algorithm to optimize the extreme gradient boosting (XGBoost) model. Firstly, the operating parameters of the natural gas engine in the cold and hot start tests under the worldwide harmonized transient cycle (WHTC) were collected for model training and validation. An importance analysis was performed using the Random Forest algorithm and the six most significant variables were selected as inputs to minimize the data dimensions. Then, the impact of model hyperparameters on transient prediction performance was discussed, and the XGBoost model was optimized using the TSO algorithm. Finally, the performance of the proposed algorithm was tested. The results reveal that the root mean square error (RMSE) and mean absolute error (MAE) of the TSO-optimized XGBoost model on the hot validation dataset are reduced by an average of 52% and 64%, respectively, while the average R² is increased to 0.991. On the cold validation dataset, the RMSE and MAE are decreased by an average of 45% and 60%, respectively, while the average R² is increased to 0.989. In addition, the TSO-XGBoost model was compared with other algorithms. The findings indicate that TSO-XGBoost outperformed the other five models in predicting the transient emissions.

{"title":"Research on transient emissions prediction for natural gas engine using the tuna swarm optimization-extreme gradient boosting algorithm under worldwide harmonized transient cycle","authors":"Kaimin Liu , Jintao Zhou , Zhongwen Pei , Wenjie Fu , Hanqian Yang , Zhi Jiang , Xiaopeng Feng","doi":"10.1016/j.apr.2025.102425","DOIUrl":"10.1016/j.apr.2025.102425","url":null,"abstract":"<div><div>Accurate prediction of engine emissions behavior under transient conditions using machine learning is crucial for developing effective emissions control strategies to meet increasingly stringent regulatory demands. To predict transient emissions accurately, this study proposes a novel combination algorithm, which uses the Tuna Swarm Optimization (TSO) algorithm to optimize the extreme gradient boosting (XGBoost) model. Firstly, the operating parameters of the natural gas engine in the cold and hot start tests under the worldwide harmonized transient cycle (WHTC) were collected for model training and validation. An importance analysis was performed using the Random Forest algorithm and the six most significant variables were selected as inputs to minimize the data dimensions. Then, the impact of model hyperparameters on transient prediction performance was discussed, and the XGBoost model was optimized using the TSO algorithm. Finally, the performance of the proposed algorithm was tested. The results reveal that the root mean square error (RMSE) and mean absolute error (MAE) of the TSO-optimized XGBoost model on the hot validation dataset are reduced by an average of 52% and 64%, respectively, while the average R<sup>2</sup> is increased to 0.991. On the cold validation dataset, the RMSE and MAE are decreased by an average of 45% and 60%, respectively, while the average R<sup>2</sup> is increased to 0.989. In addition, the TSO-XGBoost model was compared with other algorithms. The findings indicate that TSO-XGBoost outperformed the other five models in predicting the transient emissions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102425"},"PeriodicalIF":3.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A 4-year study of carbonaceous aerosol particle sources in a rural environment of Northern Europe, Lithuania

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-20 DOI: 10.1016/j.apr.2025.102428

Touqeer Gill , Audrė Kalinauskaitė , Vadimas Dudoitis , Simonas Kecorius , Steigvilė Byčenkienė , Kristina Plauškaitė

This study investigates the equivalent black carbon (eBC) mass concentration in the rural environment of Northern Europe for local atmospheric properties. Notably, eBC contribution was higher in 2018 and 2019 compared to 2013 and 2014, with autumn exhibiting the highest concentration at measurement site Rugšteliškis, Lithuania. The diurnal trend of eBC shows higher concentrations in the morning hours (8am–12pm) due to distant human activities like work-related traffic and biomass burning, and lower concentrations in the evening hours (8pm−12am) when these activities decrease. Source apportionment analysis highlighted a dominant contribution of fossil fuel-derived black carbon (eBC_FF) over biomass burning-related black carbon (eBC_BB), constituting 82–94% of total eBC. Brown carbon (BrC) analysis supported this, with b_abs,eBC showing a higher contribution (80–91%) compared to b_absBrC (9–20%). This indicates that at this rural site, biomass burning mostly occurs from local sources, while fossil fuel concentration comes from long-range transport. Meteorological conditions (temperature, humidity, and wind speed) exhibited weak and negligible correlations with daily eBC levels. Furthermore, an analysis of long-range air mass transport showed that the prevailing directions resulted in higher mean eBC concentrations from the northeast, east, and southeast. The predominant directions of the lowest eBC concentration were northwest and west. This comprehensive analysis of black carbon trends and sources at the Rugšteliškis rural site enhances our understanding of regional pollution dynamics and provides critical insights for shaping effective black carbon emission policies in Northern Europe.

{"title":"A 4-year study of carbonaceous aerosol particle sources in a rural environment of Northern Europe, Lithuania","authors":"Touqeer Gill , Audrė Kalinauskaitė , Vadimas Dudoitis , Simonas Kecorius , Steigvilė Byčenkienė , Kristina Plauškaitė","doi":"10.1016/j.apr.2025.102428","DOIUrl":"10.1016/j.apr.2025.102428","url":null,"abstract":"<div><div>This study investigates the equivalent black carbon (eBC) mass concentration in the rural environment of Northern Europe for local atmospheric properties. Notably, eBC contribution was higher in 2018 and 2019 compared to 2013 and 2014, with autumn exhibiting the highest concentration at measurement site Rugšteliškis, Lithuania. The diurnal trend of eBC shows higher concentrations in the morning hours (8am–12pm) due to distant human activities like work-related traffic and biomass burning, and lower concentrations in the evening hours (8pm−12am) when these activities decrease. Source apportionment analysis highlighted a dominant contribution of fossil fuel-derived black carbon (eBC<sub>FF</sub>) over biomass burning-related black carbon (eBC<sub>BB</sub>), constituting 82–94% of total eBC. Brown carbon (BrC) analysis supported this, with b<sub>abs,</sub>eBC showing a higher contribution (80–91%) compared to b<sub>abs</sub>BrC (9–20%). This indicates that at this rural site, biomass burning mostly occurs from local sources, while fossil fuel concentration comes from long-range transport. Meteorological conditions (temperature, humidity, and wind speed) exhibited weak and negligible correlations with daily eBC levels. Furthermore, an analysis of long-range air mass transport showed that the prevailing directions resulted in higher mean eBC concentrations from the northeast, east, and southeast. The predominant directions of the lowest eBC concentration were northwest and west. This comprehensive analysis of black carbon trends and sources at the Rugšteliškis rural site enhances our understanding of regional pollution dynamics and provides critical insights for shaping effective black carbon emission policies in Northern Europe.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102428"},"PeriodicalIF":3.9,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mediating effect of air pollutants on urban morphology and air temperature

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-19 DOI: 10.1016/j.apr.2025.102426

Jiayu Fan , Xuegang Chen , Siqi Xie , Kaili Du

Complex urban morphology may influence changes in air temperature through the accumulation of air pollution. Taking Urumqi as an example, this study used ridge regression models to reveal the linear relationships among urban morphology indicators, air pollutants, and air temperature. Structural equation modeling was established to verify the mediating role of air pollutants in the relationship between urban morphology and air temperature. The results indicated that: (1) The optimal buffer zone diameter for the impact of urban morphology and air pollutants on air temperature is 500 m. (2) Urban morphology can explain 51.2% of the variation in air temperature, and this explanation rate increases to 54.8% when air pollutants are included. (3) Air pollutants plays a significant mediating role in the impact of urban morphology on air temperature. All three pollutants fully mediate the relationship between building coverage ratio and air temperature. PM₁₀ partially mediates the relationship between greening coverage ratio, floor area ratio, frontal area index, and air temperature. PM_2.5 partially mediates the relationship between road density, greening coverage ratio, floor area ratio, frontal area index, and air temperature. NO₂ partially mediates the relationship between greening coverage ratio, mean building height, floor area ratio, frontal area index, sky view factor, and air temperature. Controlling building coverage ratio and increasing greening coverage ratio play important roles in lowering air temperature. We advocate for dispersed and lower buildings to enhance air circulation and prevent excessive accumulation of air pollution.

{"title":"Mediating effect of air pollutants on urban morphology and air temperature","authors":"Jiayu Fan , Xuegang Chen , Siqi Xie , Kaili Du","doi":"10.1016/j.apr.2025.102426","DOIUrl":"10.1016/j.apr.2025.102426","url":null,"abstract":"<div><div>Complex urban morphology may influence changes in air temperature through the accumulation of air pollution. Taking Urumqi as an example, this study used ridge regression models to reveal the linear relationships among urban morphology indicators, air pollutants, and air temperature. Structural equation modeling was established to verify the mediating role of air pollutants in the relationship between urban morphology and air temperature. The results indicated that: (1) The optimal buffer zone diameter for the impact of urban morphology and air pollutants on air temperature is 500 m. (2) Urban morphology can explain 51.2% of the variation in air temperature, and this explanation rate increases to 54.8% when air pollutants are included. (3) Air pollutants plays a significant mediating role in the impact of urban morphology on air temperature. All three pollutants fully mediate the relationship between building coverage ratio and air temperature. PM<sub>10</sub> partially mediates the relationship between greening coverage ratio, floor area ratio, frontal area index, and air temperature. PM<sub>2.5</sub> partially mediates the relationship between road density, greening coverage ratio, floor area ratio, frontal area index, and air temperature. NO<sub>2</sub> partially mediates the relationship between greening coverage ratio, mean building height, floor area ratio, frontal area index, sky view factor, and air temperature. Controlling building coverage ratio and increasing greening coverage ratio play important roles in lowering air temperature. We advocate for dispersed and lower buildings to enhance air circulation and prevent excessive accumulation of air pollution.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102426"},"PeriodicalIF":3.9,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatiotemporal comparative analysis of three carbon emission inventories in mainland China

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-18 DOI: 10.1016/j.apr.2025.102417

Liang Zheng , Shenshen Li , Xuefei Hu , Fengbin Zheng , Kun Cai , Ning Li , Ya Chen

The greenhouse gas emissions inventory is essential for studying climate change, carbon neutrality, peak strategies, and regional carbon trading. Cross-validating inventories ensures accuracy despite challenges in monitoring emissions at different levels. In this study, we appraise the spatiotemporal distribution of carbon emissions in mainland China over a long period based on three inventories: EDGAR, MEIC, and CEADs. These findings indicate that from 2006 to 2019, all three inventories exhibited a substantial surge in China’s carbon emissions. The annual average emissions in EDGAR were approximately 20% higher than the other two, exceeding 1.5 Gigaton (Gt). Additionally, the emission disparities is showing an increasing trend since 2012. Over the 14 years, the absolute differences in national monthly carbon emissions between EDGAR and MEIC ranged from 49 to 390 Megaton (Mt). Moreover, the fluctuation in monthly emissions as a percentage of the total annual emissions was considerably smaller in EDGAR (ranging from 7.72% in May to 9.43% in January) compared to MEIC (ranging from 7.10% in February to 10.22% in December). At the grid scale, there was a significant increase in correlation and absolute differences between MEIC and EDGAR with increasing spatial scale. The R

^{2}

values increased from 0.11 at a resolution of 0.25° to 0.72 at a resolution of 3°, while the range of absolute differences expanded from -10 Mt to +10 Mt to -160 Mt to +550 Mt; however, this upscaling process reduced disparities in extreme emission values between the two inventories.

{"title":"Spatiotemporal comparative analysis of three carbon emission inventories in mainland China","authors":"Liang Zheng , Shenshen Li , Xuefei Hu , Fengbin Zheng , Kun Cai , Ning Li , Ya Chen","doi":"10.1016/j.apr.2025.102417","DOIUrl":"10.1016/j.apr.2025.102417","url":null,"abstract":"<div><div>The greenhouse gas emissions inventory is essential for studying climate change, carbon neutrality, peak strategies, and regional carbon trading. Cross-validating inventories ensures accuracy despite challenges in monitoring emissions at different levels. In this study, we appraise the spatiotemporal distribution of carbon emissions in mainland China over a long period based on three inventories: EDGAR, MEIC, and CEADs. These findings indicate that from 2006 to 2019, all three inventories exhibited a substantial surge in China’s carbon emissions. The annual average emissions in EDGAR were approximately 20% higher than the other two, exceeding 1.5 Gigaton (Gt). Additionally, the emission disparities is showing an increasing trend since 2012. Over the 14 years, the absolute differences in national monthly carbon emissions between EDGAR and MEIC ranged from 49 to 390 Megaton (Mt). Moreover, the fluctuation in monthly emissions as a percentage of the total annual emissions was considerably smaller in EDGAR (ranging from 7.72% in May to 9.43% in January) compared to MEIC (ranging from 7.10% in February to 10.22% in December). At the grid scale, there was a significant increase in correlation and absolute differences between MEIC and EDGAR with increasing spatial scale. The R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> values increased from 0.11 at a resolution of 0.25° to 0.72 at a resolution of 3°, while the range of absolute differences expanded from -10 Mt to +10 Mt to -160 Mt to +550 Mt; however, this upscaling process reduced disparities in extreme emission values between the two inventories.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102417"},"PeriodicalIF":3.9,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Particulate matter pollution at regional scale in Eastern France: Influence of weather types and circulation regimes and sources strength during COVID-19 Lockdowns

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-18 DOI: 10.1016/j.apr.2025.102423

Sarah Marion , Nadège Martiny , Suzanne Crumeyrolle , Olivier Planchon , Anaïs Detournay

This study focuses on the characterization and understanding of the particulate matter pollution in two medium-sized cities located in eastern France with contrasting air quality, Dijon and Montbéliard. Measurements of PM₁₀ (diameter <10 μm) and PM_2.5 (diameter <2.5 μm) concentrations are analyzed at two fixed measurement stations over the 2015–2022 period. If EU thresholds are being respected for PM₁₀, this is more difficult for PM_2.5, especially at the daily time step, and during the “particulate season” from October to April.

We then used the 8-km SAFRAN reanalyzed database and the 10-m Digital Terrain Model to analyze the climate and topography effects on air quality in the two cities. We completed this with the study of the influence of the atmospheric circulation regimes on daily PM levels variability, based on the qualitative “Groβwetterlagen”.

Our study shows that the weather types may help explaining the PM levels in a city, combined with the climate-topographic effects at the urban scale. Our study also highlights, through the COVID-19 case study, the complexity of the PM pollution with respect to other pollutants like NO_x (more directly related to traffic). Finally, our study puts in stress that even in favorable air quality urban conditions, the daily PM_2.5 concentration levels exceed the recommended threshold for human health by around 8%.

{"title":"Particulate matter pollution at regional scale in Eastern France: Influence of weather types and circulation regimes and sources strength during COVID-19 Lockdowns","authors":"Sarah Marion , Nadège Martiny , Suzanne Crumeyrolle , Olivier Planchon , Anaïs Detournay","doi":"10.1016/j.apr.2025.102423","DOIUrl":"10.1016/j.apr.2025.102423","url":null,"abstract":"<div><div>This study focuses on the characterization and understanding of the particulate matter pollution in two medium-sized cities located in eastern France with contrasting air quality, Dijon and Montbéliard. Measurements of PM<sub>10</sub> (diameter <10 μm) and PM<sub>2.5</sub> (diameter <2.5 μm) concentrations are analyzed at two fixed measurement stations over the 2015–2022 period. If EU thresholds are being respected for PM<sub>10</sub>, this is more difficult for PM<sub>2.5</sub>, especially at the daily time step, and during the “particulate season” from October to April.</div><div>We then used the 8-km SAFRAN reanalyzed database and the 10-m Digital Terrain Model to analyze the climate and topography effects on air quality in the two cities. We completed this with the study of the influence of the atmospheric circulation regimes on daily PM levels variability, based on the qualitative “Groβwetterlagen”.</div><div>Our study shows that the weather types may help explaining the PM levels in a city, combined with the climate-topographic effects at the urban scale. Our study also highlights, through the COVID-19 case study, the complexity of the PM pollution with respect to other pollutants like NO<sub>x</sub> (more directly related to traffic). Finally, our study puts in stress that even in favorable air quality urban conditions, the daily PM<sub>2.5</sub> concentration levels exceed the recommended threshold for human health by around 8%.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 3","pages":"Article 102423"},"PeriodicalIF":3.9,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of turbulent diffusion parameters optimization on O3 simulation in Beijing-Tianjin-Hebei and surrounding areas

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-18 DOI: 10.1016/j.apr.2025.102421

Lu Yanting , Zhao Xiujuan , Li Yuhuan , Xu Jing , Miao Shiguang , An Xingqin

Accurate depictions of vertical diffusion in planetary boundary layer (PBL) are important for both meteorological and air quality simulations. In this study, we present a regional modeling study that analyzes how turbulent diffusion parameters optimization influence O₃ concentrations over Beijing-Tianjin-Hebei and surrounding areas (BTHS). A typical O₃ pollution episode in June 2019 is simulated with the BouLac PBL scheme and a modified scheme (M_BouLac). The results show that in BTHS, M_BouLac produces lower temperatures, with mean value reduces 0.2 °C and mean bias decreases 46.3%, as well as better performance on humidity, wind speed and planetary boundary layer height (PBLH). M_BouLac simulates stronger turbulent diffusion coefficient (Kh) near the surface, especially in urban areas. During the daytime, M_BouLac exhibits a decrease in simulated NO₂, and a 1.01 ppb increase in O₃. Compared to BouLac, it improves O₃ simulation with a 15% reduction in MB, and decreases in root mean square error (RMSE). At some representative stations, it also improves O₃ simulations. Changes in Kh lead to different variations of dominant processes influencing O₃ in different areas. Difference of O₃ concentrations between two simulations mainly come from chemical reactions (CHEM) and vertical mixing (VMIX) in urban area and advection in rural area. The increase of Kh in lower layers enhances vertical diffusions of O₃ and its precursors, and the decrease of NO_x may promote photochemical generation of O₃. Our study emphasizes the needs to better represent the vertical diffusion process for reducing the uncertainties in model simulation of surface O₃ concentrations.

{"title":"Effect of turbulent diffusion parameters optimization on O3 simulation in Beijing-Tianjin-Hebei and surrounding areas","authors":"Lu Yanting , Zhao Xiujuan , Li Yuhuan , Xu Jing , Miao Shiguang , An Xingqin","doi":"10.1016/j.apr.2025.102421","DOIUrl":"10.1016/j.apr.2025.102421","url":null,"abstract":"<div><div>Accurate depictions of vertical diffusion in planetary boundary layer (PBL) are important for both meteorological and air quality simulations. In this study, we present a regional modeling study that analyzes how turbulent diffusion parameters optimization influence O<sub>3</sub> concentrations over Beijing-Tianjin-Hebei and surrounding areas (BTHS). A typical O<sub>3</sub> pollution episode in June 2019 is simulated with the BouLac PBL scheme and a modified scheme (M_BouLac). The results show that in BTHS, M_BouLac produces lower temperatures, with mean value reduces 0.2 °C and mean bias decreases 46.3%, as well as better performance on humidity, wind speed and planetary boundary layer height (PBLH). M_BouLac simulates stronger turbulent diffusion coefficient (Kh) near the surface, especially in urban areas. During the daytime, M_BouLac exhibits a decrease in simulated NO<sub>2</sub>, and a 1.01 ppb increase in O<sub>3</sub>. Compared to BouLac, it improves O<sub>3</sub> simulation with a 15% reduction in MB, and decreases in root mean square error (RMSE). At some representative stations, it also improves O<sub>3</sub> simulations. Changes in Kh lead to different variations of dominant processes influencing O<sub>3</sub> in different areas. Difference of O<sub>3</sub> concentrations between two simulations mainly come from chemical reactions (CHEM) and vertical mixing (VMIX) in urban area and advection in rural area. The increase of Kh in lower layers enhances vertical diffusions of O<sub>3</sub> and its precursors, and the decrease of NO<sub><em>x</em></sub> may promote photochemical generation of O<sub>3</sub>. Our study emphasizes the needs to better represent the vertical diffusion process for reducing the uncertainties in model simulation of surface O<sub>3</sub> concentrations.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102421"},"PeriodicalIF":3.9,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-term visibility trend representing perceived air quality in the Republic of Korea

IF 3.9 3区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Atmospheric Pollution Research

Pub Date : 2025-01-17 DOI: 10.1016/j.apr.2025.102422

Min Ju Yeo , Donghee Lee , Yong Pyo Kim , Ja-Ho Koo

This study investigated the trends in visibility and visibility impairment in the Republic of Korea to understand why the public's perceived concentration of fine particles is increasing since 2013 despite their actual decreasing trend. Specifically, the arithmetic and harmonic means in 16 districts in Korea were analyzed. Both the arithmetic and harmonic mean visibility increased from 2003 to 2018 (Period III), despite differences in year-to-year variability and overall rates of change. However, the frequency of haze and mist cases, during which visibility is < 10 km, increased in most districts. Among all districts, Seoul was the only region where the average visibility improved and the frequency of low-visibility cases decreased regardless of the period. Nevertheless, during Period III, visibility in Seoul significantly worsened during winter morning commuting hours on high-humidity days. These factors may have influenced the perception of increased fine particle concentrations. In Seoul, cognitive dissonance between dry-PM_2.5 concentrations and poor visibility—when dry-PM_2.5 concentrations are low but visibility is poor—primarily occurs under conditions of high relative humidity. Therefore, to reduce the gap between actual and perceived fine particle concentrations under high humidity conditions, providing real-time information or forecasts on wet-PM_2.5 concentrations and visibility is recommended. Notably, relative humidity increased in most regions despite rising temperatures during Period III, which appears to have contributed to the increased frequency of mist cases. This necessitates further studies and continuous monitoring.

{"title":"Long-term visibility trend representing perceived air quality in the Republic of Korea","authors":"Min Ju Yeo , Donghee Lee , Yong Pyo Kim , Ja-Ho Koo","doi":"10.1016/j.apr.2025.102422","DOIUrl":"10.1016/j.apr.2025.102422","url":null,"abstract":"<div><div>This study investigated the trends in visibility and visibility impairment in the Republic of Korea to understand why the public's perceived concentration of fine particles is increasing since 2013 despite their actual decreasing trend. Specifically, the arithmetic and harmonic means in 16 districts in Korea were analyzed. Both the arithmetic and harmonic mean visibility increased from 2003 to 2018 (Period III), despite differences in year-to-year variability and overall rates of change. However, the frequency of haze and mist cases, during which visibility is < 10 km, increased in most districts. Among all districts, Seoul was the only region where the average visibility improved and the frequency of low-visibility cases decreased regardless of the period. Nevertheless, during Period III, visibility in Seoul significantly worsened during winter morning commuting hours on high-humidity days. These factors may have influenced the perception of increased fine particle concentrations. In Seoul, cognitive dissonance between dry-PM<sub>2.5</sub> concentrations and poor visibility—when dry-PM<sub>2.5</sub> concentrations are low but visibility is poor—primarily occurs under conditions of high relative humidity. Therefore, to reduce the gap between actual and perceived fine particle concentrations under high humidity conditions, providing real-time information or forecasts on wet-PM<sub>2.5</sub> concentrations and visibility is recommended. Notably, relative humidity increased in most regions despite rising temperatures during Period III, which appears to have contributed to the increased frequency of mist cases. This necessitates further studies and continuous monitoring.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 3","pages":"Article 102422"},"PeriodicalIF":3.9,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0