Atmospheric Pollution Research最新文献_第4页

Analysis of the horizontal and vertical distribution of a dust weather event in the Tarim Basin based on multi-source observational datasets

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

Atmospheric Pollution Research

Pub Date : 2025-02-11 DOI: 10.1016/j.apr.2025.102455

Hong Jiang , Qing He , Ruqi Li , Hao Tang , Quanwei Zhao , Hailiang Zhang , Jinglong Li , Yongkang Li , Jingjing Li

The study employed multi-source observation data from unmanned aerial vehicles (UAVs), satellites, and LiDAR conduct an observational study on a dust weather event that occurred in the Tarim Basin, China, from May 2 to 4, 2023. The results showed that FY-4A dust storm detection and MODIS aerosol optical depth (AOD) products could effectively observe the horizontal distribution of dust. Dust areas and intensities were identified at the AOD threshold range of 0.54–3.50. The convolutional neural network algorithm dust mask could identify dust structures with more precision compared to traditional FY-4 dust storm detection. Moreover, vertical particulate matter (PM) concentration changes determined by UAVs were analyzed at different altitudes, with low PM concentrations observed at higher altitudes. The dust area obtained through the CALIPSO vertical feature mask product was consistent with the PM concentration changes observed by the UAV. When the visibility value was below 1 km, the ground-based LiDAR 532 nm extinction coefficient (EC), backscatter coefficient (BC), and depolarization ratio (DR) values reached 3.42 km⁻¹, 0.057 km⁻¹sr⁻¹, and 0.47, respectively. The vertical profile changes of EC, BC, and DR were in strong agreement with the vertical profile changes of the PM concentrations by the UAV.

{"title":"Analysis of the horizontal and vertical distribution of a dust weather event in the Tarim Basin based on multi-source observational datasets","authors":"Hong Jiang , Qing He , Ruqi Li , Hao Tang , Quanwei Zhao , Hailiang Zhang , Jinglong Li , Yongkang Li , Jingjing Li","doi":"10.1016/j.apr.2025.102455","DOIUrl":"10.1016/j.apr.2025.102455","url":null,"abstract":"<div><div>The study employed multi-source observation data from unmanned aerial vehicles (UAVs), satellites, and LiDAR conduct an observational study on a dust weather event that occurred in the Tarim Basin, China, from May 2 to 4, 2023. The results showed that FY-4A dust storm detection and MODIS aerosol optical depth (AOD) products could effectively observe the horizontal distribution of dust. Dust areas and intensities were identified at the AOD threshold range of 0.54–3.50. The convolutional neural network algorithm dust mask could identify dust structures with more precision compared to traditional FY-4 dust storm detection. Moreover, vertical particulate matter (PM) concentration changes determined by UAVs were analyzed at different altitudes, with low PM concentrations observed at higher altitudes. The dust area obtained through the CALIPSO vertical feature mask product was consistent with the PM concentration changes observed by the UAV. When the visibility value was below 1 km, the ground-based LiDAR 532 nm extinction coefficient (EC), backscatter coefficient (BC), and depolarization ratio (DR) values reached 3.42 km<sup>−1</sup>, 0.057 km<sup>−1</sup>sr<sup>−1</sup>, and 0.47, respectively. The vertical profile changes of EC, BC, and DR were in strong agreement with the vertical profile changes of the PM concentrations by the UAV.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 5","pages":"Article 102455"},"PeriodicalIF":3.9,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419418","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

Burn parameters affect PAH emissions at conditions relevant for prescribed fires 燃烧参数会影响多环芳烃在规定火灾相关条件下的排放

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

Atmospheric Pollution Research

Pub Date : 2025-02-10 DOI: 10.1016/j.apr.2025.102438

Karl Töpperwien , Guillaume Vignat , Alexandra J. Feinberg , Conner Daube , Mitchell W. Alton , Edward C. Fortner , Manjula R. Canagaratna , Matthias F. Kling , Mary Johnson , Kari Nadeau , Scott Herndon , John T. Jayne , Matthias Ihme

Wildfire smoke is a health hazard as it contains carcinogenic volatile compounds and fine particulate matter. In particular, exposure to polycyclic aromatic hydrocarbons (PAHs) is a major concern, since these compounds have been recognized as important contributors to the overall carcinogenic risk. In this work, gas and particle-phase PAH emissions from combustion of Eastern White Pine (Pinus strobus) were quantified using time-of-flight mass spectrometry over a range of burn conditions representative of wildfires and prescribed fires, including fuel moisture, heat flux, and oxygen concentration. We found that changing the burn environment lead to a variability of up to 77% in phenanthrene/anthracene emissions. This could explain a large part of the variability in PAH emission factors from biomass combustion reported in the literature. We found that optimal conditions for fuel moisture content of 20–30

%

, sample heat load of

60 - 70 kW m^{−2}

, and oxygen concentrations of 5–15

%

can significantly reduce the emissions of heavy molar weight PAHs.

Our analysis showed that the relative carcinogenic risk from PAH exposure can be reduced by more than 50% under optimal conditions. In light of the increasing use of prescribed fire for forest management, the relationship between emissions and burn conditions that we have established provides a guidance for assessing the expected health impact from prescription burns, and can inform strategies to reduce PAH emissions from prescribed fire activities.

{"title":"Burn parameters affect PAH emissions at conditions relevant for prescribed fires","authors":"Karl Töpperwien , Guillaume Vignat , Alexandra J. Feinberg , Conner Daube , Mitchell W. Alton , Edward C. Fortner , Manjula R. Canagaratna , Matthias F. Kling , Mary Johnson , Kari Nadeau , Scott Herndon , John T. Jayne , Matthias Ihme","doi":"10.1016/j.apr.2025.102438","DOIUrl":"10.1016/j.apr.2025.102438","url":null,"abstract":"<div><div>Wildfire smoke is a health hazard as it contains carcinogenic volatile compounds and fine particulate matter. In particular, exposure to polycyclic aromatic hydrocarbons (PAHs) is a major concern, since these compounds have been recognized as important contributors to the overall carcinogenic risk. In this work, gas and particle-phase PAH emissions from combustion of Eastern White Pine (<em>Pinus strobus</em>) were quantified using time-of-flight mass spectrometry over a range of burn conditions representative of wildfires and prescribed fires, including fuel moisture, heat flux, and oxygen concentration. We found that changing the burn environment lead to a variability of up to 77% in phenanthrene/anthracene emissions. This could explain a large part of the variability in PAH emission factors from biomass combustion reported in the literature. We found that optimal conditions for fuel moisture content of 20–30<span><math><mtext>%</mtext></math></span>, sample heat load of <span><math><mrow><mn>60</mn><mo>−</mo><mtext>70</mtext><mspace></mspace><mtext>kW</mtext><mspace></mspace><mtext>m</mtext><msup><mrow></mrow><mrow><mi>−2</mi></mrow></msup></mrow></math></span>, and oxygen concentrations of 5–15<span><math><mtext>%</mtext></math></span> can significantly reduce the emissions of heavy molar weight PAHs.</div><div>Our analysis showed that the relative carcinogenic risk from PAH exposure can be reduced by more than 50% under optimal conditions. In light of the increasing use of prescribed fire for forest management, the relationship between emissions and burn conditions that we have established provides a guidance for assessing the expected health impact from prescription burns, and can inform strategies to reduce PAH emissions from prescribed fire activities.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 5","pages":"Article 102438"},"PeriodicalIF":3.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430083","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

Experimental and kinetic analysis of Hg0 removal by CoFe2O4 nanoparticles as an efficient activator of persulfate

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

Atmospheric Pollution Research

Pub Date : 2025-02-08 DOI: 10.1016/j.apr.2025.102453

Qianqian Zhang, Haixing Du, Anchao Zhang, Hongyu Zheng, Haixia Li, Weiwei Zhang, Zhijun Sun

The sulfate radical (SO₄^•−) and hydroxyl radical (^•OH), derived from the oxidation of persulfate (PS), are significant active substances in the treatment of pollution. In this study, magnetic CoFe₂O₄ nanoparticles (CFO NPs) were synthesized by a hydrothermal method and applied to activate PS for Hg⁰ removal from the simulated flue gas. The results exhibited that the Hg⁰ removal efficiency can reach as high as 99.5% within 60 min under the optimal condition of 6 mM of PS, 0.8 g/L of CFO dose, 20 °C of reaction temperature and 7 of initial pH. The characterizations demonstrated that the large surface area and coexistence of Co/Fe mixed valence were generated after the formation of CFO nanostructure, improving the amount of active sites and facilitating the adsorption and activation of PS. Scavenging tests indicated that SO₄^•− and ^•OH were the main active radicals on Hg⁰ removal, where the ^•OH radicals primarily originated from the conversion of SO₄^•−. Moreover, the circulation of ≡Co(III)/≡Co(II) and ≡Fe(III)/≡Fe(II) resulted in a superior Hg⁰ removal activity. Based on the experiments and characterization analysis, the reaction mechanism was proposed. In addition, the kinetic model for Hg⁰ removal was systematically analyzed, and the role of SO₄^•− and ^•OH was further verified. This study provided new insights toward efficient activation of persulfate for removal of Hg⁰ from coal-fired flue gas.

{"title":"Experimental and kinetic analysis of Hg0 removal by CoFe2O4 nanoparticles as an efficient activator of persulfate","authors":"Qianqian Zhang, Haixing Du, Anchao Zhang, Hongyu Zheng, Haixia Li, Weiwei Zhang, Zhijun Sun","doi":"10.1016/j.apr.2025.102453","DOIUrl":"10.1016/j.apr.2025.102453","url":null,"abstract":"<div><div>The sulfate radical (SO<sub>4</sub><sup>•−</sup>) and hydroxyl radical (<sup>•</sup>OH), derived from the oxidation of persulfate (PS), are significant active substances in the treatment of pollution. In this study, magnetic CoFe<sub>2</sub>O<sub>4</sub> nanoparticles (CFO NPs) were synthesized by a hydrothermal method and applied to activate PS for Hg<sup>0</sup> removal from the simulated flue gas. The results exhibited that the Hg<sup>0</sup> removal efficiency can reach as high as 99.5% within 60 min under the optimal condition of 6 mM of PS, 0.8 g/L of CFO dose, 20 °C of reaction temperature and 7 of initial pH. The characterizations demonstrated that the large surface area and coexistence of Co/Fe mixed valence were generated after the formation of CFO nanostructure, improving the amount of active sites and facilitating the adsorption and activation of PS. Scavenging tests indicated that SO<sub>4</sub><sup>•−</sup> and <sup>•</sup>OH were the main active radicals on Hg<sup>0</sup> removal, where the <sup>•</sup>OH radicals primarily originated from the conversion of SO<sub>4</sub><sup>•−</sup>. Moreover, the circulation of ≡Co(III)/≡Co(II) and ≡Fe(III)/≡Fe(II) resulted in a superior Hg<sup>0</sup> removal activity. Based on the experiments and characterization analysis, the reaction mechanism was proposed. In addition, the kinetic model for Hg<sup>0</sup> removal was systematically analyzed, and the role of SO<sub>4</sub><sup>•−</sup> and <sup>•</sup>OH was further verified. This study provided new insights toward efficient activation of persulfate for removal of Hg<sup>0</sup> from coal-fired flue gas.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102453"},"PeriodicalIF":3.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403231","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

Characterization identification and speciated emission inventory construction of anthropogenic volatile organic compounds (VOCs) in Beijing, China

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

Atmospheric Pollution Research

Pub Date : 2025-02-07 DOI: 10.1016/j.apr.2025.102452

Xiaoyu Liu , Hanyu Zhang , Zhe Lv , Huahua Bai , Guohao Li

Volatile organic compounds (VOCs) significantly impact air quality and human health, garnering widespread attention. We conducted a comparative analysis of anthropogenic VOC emissions across different years, established a speciated VOC emission inventory for Beijing in 2020 and assessed the ozone formation potential (OFP). The VOC emissions showed a consistent downward trend, ranging from 10.19 × 10⁴ t to 28.36 × 10⁴ t in 2007–2020. The main sectors shifted from mobile sources (43.42%) and solvent utilization (26.35%) in 2007 to solvent utilization (55.99%) and mobile sources (24.00%) in 2020. The key contributing districts shifted from Fangshan (28.92%), Chaoyang (9.84%), and Daxing (7.33%) in 2013 to Chaoyang (14.29%), Haidian (11.42%), and Fangshan (10.33%) in 2020. The profile dataset encompasses 15 sectors and includes 117 VOC species, with an estimated total of 5.07 × 10⁴ t of VOC emissions in 2020, with alkanes, alkenes, alkyne, aromatics, halocarbons, and OVOCs accounting for 34.51%, 17.84%, 1.01%, 36.20%, 7.37%, and 3.07%, respectively. Significant differences were observed in the proportions of various VOC species across sectoral emissions. This dataset shows substantial deviations from the U.S. SPECIATE database, highlighting the significance of developing VOC source profiles. The uncertainties in VOC emission estimates primarily originate from variations in activity levels, emission factors and spatial distribution of emissions. Some sectors with high OFPs, like automobile manufacturing, barbecue and residential combustion are regarded as critical targets for emission control. Aromatics, alkenes, and OVOCs were identified as the major contributors to OFP, and controlling their emissions is essential for reducing ozone formation in Beijing.

{"title":"Characterization identification and speciated emission inventory construction of anthropogenic volatile organic compounds (VOCs) in Beijing, China","authors":"Xiaoyu Liu , Hanyu Zhang , Zhe Lv , Huahua Bai , Guohao Li","doi":"10.1016/j.apr.2025.102452","DOIUrl":"10.1016/j.apr.2025.102452","url":null,"abstract":"<div><div>Volatile organic compounds (VOCs) significantly impact air quality and human health, garnering widespread attention. We conducted a comparative analysis of anthropogenic VOC emissions across different years, established a speciated VOC emission inventory for Beijing in 2020 and assessed the ozone formation potential (OFP). The VOC emissions showed a consistent downward trend, ranging from 10.19 × 10<sup>4</sup> t to 28.36 × 10<sup>4</sup> t in 2007–2020. The main sectors shifted from mobile sources (43.42%) and solvent utilization (26.35%) in 2007 to solvent utilization (55.99%) and mobile sources (24.00%) in 2020. The key contributing districts shifted from Fangshan (28.92%), Chaoyang (9.84%), and Daxing (7.33%) in 2013 to Chaoyang (14.29%), Haidian (11.42%), and Fangshan (10.33%) in 2020. The profile dataset encompasses 15 sectors and includes 117 VOC species, with an estimated total of 5.07 × 10<sup>4</sup> t of VOC emissions in 2020, with alkanes, alkenes, alkyne, aromatics, halocarbons, and OVOCs accounting for 34.51%, 17.84%, 1.01%, 36.20%, 7.37%, and 3.07%, respectively. Significant differences were observed in the proportions of various VOC species across sectoral emissions. This dataset shows substantial deviations from the U.S. SPECIATE database, highlighting the significance of developing VOC source profiles. The uncertainties in VOC emission estimates primarily originate from variations in activity levels, emission factors and spatial distribution of emissions. Some sectors with high OFPs, like automobile manufacturing, barbecue and residential combustion are regarded as critical targets for emission control. Aromatics, alkenes, and OVOCs were identified as the major contributors to OFP, and controlling their emissions is essential for reducing ozone formation in Beijing.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102452"},"PeriodicalIF":3.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388031","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

Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess

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

Atmospheric Pollution Research

Pub Date : 2025-02-07 DOI: 10.1016/j.apr.2025.102419

Ondřej Tichý , Nikolaos Evangeliou , Anna Selivanova , Václav Šmídl

This study estimates 137Cs emissions from Chernobyl wildfires in April 2020 using inverse modeling. Emissions are resolved with daily resolution by particle sizes (0.4

μ

m, 8

μ

m, 16

μ

m) and altitudes (up to 3 km). The inverse problem’s complexity requires regularization due to its ill-posed nature. One potential way to regularize the problem is the use of the so-called first guess, i.e. emission taken from expert knowledge or previous literature. However, inappropriately chosen first guess may lead to serious bias in results or its availability may be limited for rapid response. We rather follow a Bayesian approach where all model parameters are considered as variables to be estimated from available data. We aim to combine three key principles: modeling of sparsity and smoothness of the emission vector, modeling of bounded ratios between released particle size/altitude fractions, and bias correction of the atmospheric transport model. All these principles proved their significance separately, however, we combine them in one comprehensive method to estimate the 137Cs emissions from the Chernobyl wildfires. The total released activity was estimated to be 458 GBq with uncertainty estimated to be 69 GBq. Our estimates also suggest that most of the activity has been released below a one-kilometer altitude with the more dominant role towards the smallest particle fraction than was considered in other studies. Using our estimate, we calculate the time-integrated volumetric activities of 137Cs over the domain using the JRODOS system and our findings well agrees with previous results.

{"title":"Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess","authors":"Ondřej Tichý , Nikolaos Evangeliou , Anna Selivanova , Václav Šmídl","doi":"10.1016/j.apr.2025.102419","DOIUrl":"10.1016/j.apr.2025.102419","url":null,"abstract":"<div><div>This study estimates 137Cs emissions from Chernobyl wildfires in April 2020 using inverse modeling. Emissions are resolved with daily resolution by particle sizes (0.4 <span><math><mi>μ</mi></math></span>m, 8 <span><math><mi>μ</mi></math></span>m, 16 <span><math><mi>μ</mi></math></span>m) and altitudes (up to 3 km). The inverse problem’s complexity requires regularization due to its ill-posed nature. One potential way to regularize the problem is the use of the so-called first guess, i.e. emission taken from expert knowledge or previous literature. However, inappropriately chosen first guess may lead to serious bias in results or its availability may be limited for rapid response. We rather follow a Bayesian approach where all model parameters are considered as variables to be estimated from available data. We aim to combine three key principles: modeling of sparsity and smoothness of the emission vector, modeling of bounded ratios between released particle size/altitude fractions, and bias correction of the atmospheric transport model. All these principles proved their significance separately, however, we combine them in one comprehensive method to estimate the 137Cs emissions from the Chernobyl wildfires. The total released activity was estimated to be 458 GBq with uncertainty estimated to be 69 GBq. Our estimates also suggest that most of the activity has been released below a one-kilometer altitude with the more dominant role towards the smallest particle fraction than was considered in other studies. Using our estimate, we calculate the time-integrated volumetric activities of 137Cs over the domain using the JRODOS system and our findings well agrees with previous results.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102419"},"PeriodicalIF":3.9,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377795","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

Aerosol chemical composition and sources during unexpected wintertime haze episodes in 2023 in urban Xuzhou of eastern China

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

Atmospheric Pollution Research

Pub Date : 2025-02-06 DOI: 10.1016/j.apr.2025.102451

Xianru Yin , Yongcai Rao , Lili Tang , Yunjiang Zhang

Understanding the chemical composition and sources of aerosols during extreme haze episodes is essential for effective air quality management, particularly in rapidly industrializing regions. This study investigates the aerosol chemistry and sources during unexpected winter haze events in December 2023 in Xuzhou, Eastern China. Continuous online monitoring of fine particulate matter (PM_2.5), combined with detailed chemical analysis and concentration weighted trajectory (CWT) analysis, was conducted to elucidate the sources and processes driving these pollution episodes. Positive matrix factorization identified five major PM_2.5 sources: secondary nitrate-rich aerosols, vehicular emissions, industrial activities, dust emissions, and coal combustion. Nitrate was the dominant component during severe haze periods, whereas dust significantly contributed during dust storm episodes. CWT analysis highlighted substantial regional contributions, with industrial and dust-rich areas to the northwest and marine aerosols from coastal regions playing key roles. The findings suggest that nitrate formation and regional dust transport were the primary drivers of severe winter haze in Xuzhou. Effective mitigation strategies should prioritize nitrogen oxides emission control and dust management. This study underscores the necessity of regional collaboration and continuous monitoring to tackle complex air pollution challenges.

{"title":"Aerosol chemical composition and sources during unexpected wintertime haze episodes in 2023 in urban Xuzhou of eastern China","authors":"Xianru Yin , Yongcai Rao , Lili Tang , Yunjiang Zhang","doi":"10.1016/j.apr.2025.102451","DOIUrl":"10.1016/j.apr.2025.102451","url":null,"abstract":"<div><div>Understanding the chemical composition and sources of aerosols during extreme haze episodes is essential for effective air quality management, particularly in rapidly industrializing regions. This study investigates the aerosol chemistry and sources during unexpected winter haze events in December 2023 in Xuzhou, Eastern China. Continuous online monitoring of fine particulate matter (PM<sub>2.5</sub>), combined with detailed chemical analysis and concentration weighted trajectory (CWT) analysis, was conducted to elucidate the sources and processes driving these pollution episodes. Positive matrix factorization identified five major PM<sub>2.5</sub> sources: secondary nitrate-rich aerosols, vehicular emissions, industrial activities, dust emissions, and coal combustion. Nitrate was the dominant component during severe haze periods, whereas dust significantly contributed during dust storm episodes. CWT analysis highlighted substantial regional contributions, with industrial and dust-rich areas to the northwest and marine aerosols from coastal regions playing key roles. The findings suggest that nitrate formation and regional dust transport were the primary drivers of severe winter haze in Xuzhou. Effective mitigation strategies should prioritize nitrogen oxides emission control and dust management. This study underscores the necessity of regional collaboration and continuous monitoring to tackle complex air pollution challenges.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 5","pages":"Article 102451"},"PeriodicalIF":3.9,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453109","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 of two dust transport pollution in northern China in 2023: Perspectives from LiDAR and multi source data

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

Atmospheric Pollution Research

Pub Date : 2025-02-05 DOI: 10.1016/j.apr.2025.102441

Hao Yang , Xiaomeng Zhu , Duoyang Qiu , Zhiyuan Fang , Yalin Hu , Xianyang Li

In March and April 2023, two dust events occurred in northern China, which had a huge impact on the travel and health of the public in northern China. During the two dust events (the first dust event, FD; the second dust event, SD), the peak PM₁₀ concentrations at the Handan station were 2407 μg/m³ and 829 μg/m³, respectively. According to observations from the Mie scattering LiDAR located in Handan City, during the period of FD and SD, there were differences in depolarization ratio, pollution duration, and spatial distribution. Based on multi-source data including the HYSPLIT model, MODIS sensor data, CALIPSO data, ERA5, CAMS and MERRA-2 reanalysis data, the transport process of two dust events and the causes of pollution were analyzed. The source of the FD dust air mass is twofold, On the one hand, the dust at 3000 m originates from the ground in southern Gansu, On the other hand, the dust at 1000–2000 m comes from the transport and deposition of high-altitude dust in Xinjiang. SD dust originated from deserts and Gobi regions within Mongolia. During the transboundary process, it is shown that part of FD sand dust is blown above the troposphere. When it reached Handan area, the dust above the troposphere settled. The prolonged duration of SD and the occurrence of secondary pollution were caused by calm surface winds and specific high-altitude atmospheric conditions.

{"title":"Research of two dust transport pollution in northern China in 2023: Perspectives from LiDAR and multi source data","authors":"Hao Yang , Xiaomeng Zhu , Duoyang Qiu , Zhiyuan Fang , Yalin Hu , Xianyang Li","doi":"10.1016/j.apr.2025.102441","DOIUrl":"10.1016/j.apr.2025.102441","url":null,"abstract":"<div><div>In March and April 2023, two dust events occurred in northern China, which had a huge impact on the travel and health of the public in northern China. During the two dust events (the first dust event, FD; the second dust event, SD), the peak PM<sub>10</sub> concentrations at the Handan station were 2407 μg/m³ and 829 μg/m³, respectively. According to observations from the Mie scattering LiDAR located in Handan City, during the period of FD and SD, there were differences in depolarization ratio, pollution duration, and spatial distribution. Based on multi-source data including the HYSPLIT model, MODIS sensor data, CALIPSO data, ERA5, CAMS and MERRA-2 reanalysis data, the transport process of two dust events and the causes of pollution were analyzed. The source of the FD dust air mass is twofold, On the one hand, the dust at 3000 m originates from the ground in southern Gansu, On the other hand, the dust at 1000–2000 m comes from the transport and deposition of high-altitude dust in Xinjiang. SD dust originated from deserts and Gobi regions within Mongolia. During the transboundary process, it is shown that part of FD sand dust is blown above the troposphere. When it reached Handan area, the dust above the troposphere settled. The prolonged duration of SD and the occurrence of secondary pollution were caused by calm surface winds and specific high-altitude atmospheric conditions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102441"},"PeriodicalIF":3.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379202","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

Differential impacts of the 2015–2020 El Niño/El Niño Modoki on seasonal ozone levels across China

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

Atmospheric Pollution Research

Pub Date : 2025-02-04 DOI: 10.1016/j.apr.2025.102449

Xiaohong Wang , Qingheng Lu , Shiyuan Zhong , Yinchen Chen , Zunli Dai , Lejiang Yu

Utilizing daily data from nearly 1500 ground stations within a nationwide air-quality monitoring network spanning 2015 to 2020, this study identifies three primary spatiotemporal modes of ozone (O₃) concentration anomalies and explores the sensitivity of surface O₃ to both Eastern Pacific El Niño and Central Pacific El Niño (El Niño Modoki) across distinct Chinese regions and seasons. Results reveal limited sensitivity during spring and winter, wherein negative (positive) O₃ anomalies predominate across China during the positive (negative) phase of either ENSO type, with spring magnitudes approximately doubling those observed in winter. In contrast, during summer and autumn, O₃ anomalies exhibit significant variations depending on El Niño type and geographical location. Positive anomalies are notably pronounced in summer and autumn, particularly during El Niño Modoki in eastern China, while negative anomalies concentrate in western China during autumn, with a scattered distribution in summer. On average, magnitudes of O₃ anomalies during El Niño Modoki surpass those during El Niño thoroughly, with the most pronounced differences in magnitude during summer for positive anomalies. The differences in O₃ anomalies between El Niño and El Niño Modoki are attributed to variations in anomalous atmospheric circulations, wherein El Niño Modoki stands out with stronger anomalous 850-hPa highs and lows, along with stronger associated anomalous circulations, as well as larger extents and magnitudes of anomalous precipitation and solar radiation. These variations induce changes in low-level wind directions that influence regional O₃ transport, and alterations in solar radiation and precipitation, impacting both O₃ generation and removal processes.

{"title":"Differential impacts of the 2015–2020 El Niño/El Niño Modoki on seasonal ozone levels across China","authors":"Xiaohong Wang , Qingheng Lu , Shiyuan Zhong , Yinchen Chen , Zunli Dai , Lejiang Yu","doi":"10.1016/j.apr.2025.102449","DOIUrl":"10.1016/j.apr.2025.102449","url":null,"abstract":"<div><div>Utilizing daily data from nearly 1500 ground stations within a nationwide air-quality monitoring network spanning 2015 to 2020, this study identifies three primary spatiotemporal modes of ozone (O<sub>3</sub>) concentration anomalies and explores the sensitivity of surface O<sub>3</sub> to both Eastern Pacific El Niño and Central Pacific El Niño (El Niño Modoki) across distinct Chinese regions and seasons. Results reveal limited sensitivity during spring and winter, wherein negative (positive) O<sub>3</sub> anomalies predominate across China during the positive (negative) phase of either ENSO type, with spring magnitudes approximately doubling those observed in winter. In contrast, during summer and autumn, O<sub>3</sub> anomalies exhibit significant variations depending on El Niño type and geographical location. Positive anomalies are notably pronounced in summer and autumn, particularly during El Niño Modoki in eastern China, while negative anomalies concentrate in western China during autumn, with a scattered distribution in summer. On average, magnitudes of O<sub>3</sub> anomalies during El Niño Modoki surpass those during El Niño thoroughly, with the most pronounced differences in magnitude during summer for positive anomalies. The differences in O<sub>3</sub> anomalies between El Niño and El Niño Modoki are attributed to variations in anomalous atmospheric circulations, wherein El Niño Modoki stands out with stronger anomalous 850-hPa highs and lows, along with stronger associated anomalous circulations, as well as larger extents and magnitudes of anomalous precipitation and solar radiation. These variations induce changes in low-level wind directions that influence regional O<sub>3</sub> transport, and alterations in solar radiation and precipitation, impacting both O<sub>3</sub> generation and removal processes.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 5","pages":"Article 102449"},"PeriodicalIF":3.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419417","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

Chemical composition, source distribution and health risk assessment of PM2.5 and PM10 in Beijing

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

Atmospheric Pollution Research

Pub Date : 2025-02-04 DOI: 10.1016/j.apr.2025.102448

Shaosong Zhen , Min Luo , Futao Xin , Lingling Ma , Diandou Xu , Xiaomeng Cheng , Yang Shao

Beijing's air quality has seen significant enhancements owing to the successful implementation of China's emission control measures. However, air pollution incidents continue to occur, and more attention should be paid to continuous air quality monitoring and control. Here, the PM_2.5 and PM₁₀ samples collected during the air pollution days in Beijing in 2022 were analyzed to study the air quality situation and understand the changes in air pollution sources. The average concentration of PM_2.5 was 84.3 μg/m³ and PM₁₀ was 128.7 μg/m³. NO₃⁻, SO₄²⁻ and NH₄⁺ were the primary constituents of water-soluble inorganic ions, with concentrations of 18.8 μg/m³, 7.9 μg/m³, 7.4 μg/m³ in PM_2.5, and 20.5 μg/m³, 9.3 μg/m³, and 8.1 μg/m³ in PM₁₀. The enrichment factor values for Sn, Sb, and Cd in PM_2.5 exceeded 100, indicating severe anthropogenic pollution. Five pollution factors for PM_2.5 and PM₁₀ were obtained from the analysis of PMF model: vehicle emissions and dust, industrial emissions, secondary inorganic aerosols, coal combustion, and electronic manufacturing. The highest contributing factors were vehicle emissions and dust (28 % for PM_2.5 and 34 % for PM₁₀). According to the health risk assessment, Mn presented a non-carcinogenic risk to humans. Cd, As, Ni, and Cr (VI) showed a low level of carcinogenic risk within the acceptable range. The backward trajectory analysis showed that air masses from nearby cities exhibited stronger pollutant capabilities. Combining the potential source contribution function and concentration weight trajectory diagrams, the main potential source areas of Beijing are in Hebei, Tianjin, Shanxi and Henan.

{"title":"Chemical composition, source distribution and health risk assessment of PM2.5 and PM10 in Beijing","authors":"Shaosong Zhen , Min Luo , Futao Xin , Lingling Ma , Diandou Xu , Xiaomeng Cheng , Yang Shao","doi":"10.1016/j.apr.2025.102448","DOIUrl":"10.1016/j.apr.2025.102448","url":null,"abstract":"<div><div>Beijing's air quality has seen significant enhancements owing to the successful implementation of China's emission control measures. However, air pollution incidents continue to occur, and more attention should be paid to continuous air quality monitoring and control. Here, the PM<sub>2.5</sub> and PM<sub>10</sub> samples collected during the air pollution days in Beijing in 2022 were analyzed to study the air quality situation and understand the changes in air pollution sources. The average concentration of PM<sub>2.5</sub> was 84.3 μg/m<sup>3</sup> and PM<sub>10</sub> was 128.7 μg/m<sup>3</sup>. NO<sub>3</sub><sup>−</sup>, SO<sub>4</sub><sup>2−</sup> and NH<sub>4</sub><sup>+</sup> were the primary constituents of water-soluble inorganic ions, with concentrations of 18.8 μg/m<sup>3</sup>, 7.9 μg/m<sup>3</sup>, 7.4 μg/m<sup>3</sup> in PM<sub>2.5</sub>, and 20.5 μg/m<sup>3</sup>, 9.3 μg/m<sup>3</sup>, and 8.1 μg/m<sup>3</sup> in PM<sub>10</sub>. The enrichment factor values for Sn, Sb, and Cd in PM<sub>2.5</sub> exceeded 100, indicating severe anthropogenic pollution. Five pollution factors for PM<sub>2.5</sub> and PM<sub>10</sub> were obtained from the analysis of PMF model: vehicle emissions and dust, industrial emissions, secondary inorganic aerosols, coal combustion, and electronic manufacturing. The highest contributing factors were vehicle emissions and dust (28 % for PM<sub>2.5</sub> and 34 % for PM<sub>10</sub>). According to the health risk assessment, Mn presented a non-carcinogenic risk to humans. Cd, As, Ni, and Cr (VI) showed a low level of carcinogenic risk within the acceptable range. The backward trajectory analysis showed that air masses from nearby cities exhibited stronger pollutant capabilities. Combining the potential source contribution function and concentration weight trajectory diagrams, the main potential source areas of Beijing are in Hebei, Tianjin, Shanxi and Henan.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102448"},"PeriodicalIF":3.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143331263","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

3DVAR meteorological data assimilation and aerosol impact on the simulation of heat wave 2022 over Haryana using WRF-Chem

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

Atmospheric Pollution Research

Pub Date : 2025-02-04 DOI: 10.1016/j.apr.2025.102440

Paushali Deb , S.K. Panda , Unashish Mondal , Sushil K. Dash , Devesh Sharma

The rising frequency of heat waves in India presents significant risks to public health, agriculture, and the economy. In March 2022, temperatures reached a record-breaking 33.10 °C, the highest in 122 years resulting in two major heat wave events: March 11–21 and March 26–31, which claimed 33 lives. This study delves into the impact of anthropogenic emission/aerosols and meteorological data assimilation on model-predicted surface meteorological variables using “Weather Research and Forecasting (WRF) model” coupled with Chemistry (WRF-Chem). Four distinct simulation scenarios namely, WRF, WRFDA (WRF with meteorological Data Assimilation), WRF-Chem, and WRF-ChemDA (WRF-Chem with meteorological Data Assimilation) were executed across the Haryana domain to assess the sensitivity of model outputs. Analyses within the WRFDA and WRF-ChemDA frameworks utilized a 6-hourly cyclic 3-Dimensional Variational (3DVAR) Data Assimilation (DA) of NCEP ADP Surface Observational Fields. Most critically, the incorporation of aerosols and DA techniques markedly improved forecasts of key meteorological variables, including 2 m Temperature (T2), 2 m Relative Humidity (RH2), Planetary Boundary Layer Height (PBLH), and Outgoing Longwave Radiation (OLR). Skill assessment metrics, including the Heidke Skill Score (HSS ∼ 0.5), Accuracy (ACC >0.9), and Probability of Detection (POD ∼ 1), demonstrate that WRF-ChemDA outperformed other models, especially during heat wave events. Conclusively, this study advocates for the meticulous selection of modeling approaches to accurately simulate heat wave events, ensuring that selected models adeptly capture the intricate dynamics and complexities of extreme temperature phenomena.

{"title":"3DVAR meteorological data assimilation and aerosol impact on the simulation of heat wave 2022 over Haryana using WRF-Chem","authors":"Paushali Deb , S.K. Panda , Unashish Mondal , Sushil K. Dash , Devesh Sharma","doi":"10.1016/j.apr.2025.102440","DOIUrl":"10.1016/j.apr.2025.102440","url":null,"abstract":"<div><div>The rising frequency of heat waves in India presents significant risks to public health, agriculture, and the economy. In March 2022, temperatures reached a record-breaking 33.10 °C, the highest in 122 years resulting in two major heat wave events: March 11–21 and March 26–31, which claimed 33 lives. This study delves into the impact of anthropogenic emission/aerosols and meteorological data assimilation on model-predicted surface meteorological variables using “Weather Research and Forecasting (WRF) model” coupled with Chemistry (WRF-Chem). Four distinct simulation scenarios namely, WRF, WRFDA (WRF with meteorological Data Assimilation), WRF-Chem, and WRF-ChemDA (WRF-Chem with meteorological Data Assimilation) were executed across the Haryana domain to assess the sensitivity of model outputs. Analyses within the WRFDA and WRF-ChemDA frameworks utilized a 6-hourly cyclic 3-Dimensional Variational (3DVAR) Data Assimilation (DA) of NCEP ADP Surface Observational Fields. Most critically, the incorporation of aerosols and DA techniques markedly improved forecasts of key meteorological variables, including 2 m Temperature (T2), 2 m Relative Humidity (RH2), Planetary Boundary Layer Height (PBLH), and Outgoing Longwave Radiation (OLR). Skill assessment metrics, including the Heidke Skill Score (HSS ∼ 0.5), Accuracy (ACC >0.9), and Probability of Detection (POD ∼ 1), demonstrate that WRF-ChemDA outperformed other models, especially during heat wave events. Conclusively, this study advocates for the meticulous selection of modeling approaches to accurately simulate heat wave events, ensuring that selected models adeptly capture the intricate dynamics and complexities of extreme temperature phenomena.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 4","pages":"Article 102440"},"PeriodicalIF":3.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377854","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