Atmospheric Pollution Research最新文献

{"title":"Effects of the southwest vortex on the vertical structure of ozone in the Sichuan Basin in China","authors":"Huiqiong Ning ,&nbsp;Hong Wang ,&nbsp;Ping Kang ,&nbsp;Zhaodong Liu ,&nbsp;Yue Peng ,&nbsp;Wenjie Zhang ,&nbsp;Chen Han ,&nbsp;Yang Zhao ,&nbsp;Wei Liu ,&nbsp;Ping Wang ,&nbsp;Huizheng Che","doi":"10.1016/j.apr.2025.102546","DOIUrl":"10.1016/j.apr.2025.102546","url":null,"abstract":"<div><div>To investigate the mechanism by which the southwest vortex (SWV) affected the vertical distribution of O₃ in the lower troposphere over the Sichuan Basin (SCB), the SWV cases from April to September of each year from 2015 to 2018, the concentrations of O₃ in the same periods, meteorological factors (such as temperature, humidity, and wind), and the convective stability index were analysed. The results revealed 78 dry SWVs, 74 weak precipitation SWVs, and 37 heavy precipitation SWVs over the SCB. The dry SWV increased the mean O₃ column concentration (MOCC) over the SCB (+1.75 %), and the precipitation SWVs reduced the MOCC, with the weak precipitation SWVs (−7.44 %) having a greater reduction than the heavy precipitation SWVs (−5.42 %). Furthermore, the O₃ concentrations at various altitude layers were impacted to varied degrees, with the strongest scavenging effect occurring at the 850 hPa layer. The scavenging effect was especially significant in areas with high O₃ concentrations, such as the Chengdu Plain. The transit of precipitation SWVs resulted in the cooling and humidification of all layers, which could have suppressed O₃ photochemical reactions and reduced the O₃ concentration, whereas the dry layer during the transit of dry SWVs increased the O₃ concentration at the bottom of the basin. In terms of the different dispersion situations, Chongqing was dominated by horizontal winds during the transit of SWVs. However, the wind speed in the central and western SCBs was greater and the vertical component of the wind was stronger, which was favourable for O₃ dispersion in Chengdu.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102546"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858750","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}

{"title":"Variations in polycyclic aromatic hydrocarbons concentrations and their contribution to aerosol optical depth during the COVID-19 outbreak: A study in Yokohama using generalized additive model","authors":"Weidong Jing ,&nbsp;Kohei Nakano ,&nbsp;Ryosuke Mitani ,&nbsp;Zhenxing Shen ,&nbsp;Tomoaki Okuda","doi":"10.1016/j.apr.2025.102547","DOIUrl":"10.1016/j.apr.2025.102547","url":null,"abstract":"<div><div>The severe social restrictions aiming at reducing the novel coronavirus disease (COVID-19) transmission during its outbreak significantly affected regional air quality. This study analyzed changes in polycyclic aromatic hydrocarbons (PAHs) concentrations in cyclone-collected powder form particulate matter (PM) samples collected in Yokohama, Japan, from 2018 to 2023. The annual mean ∑PAHs concentration decreased significantly from 20.7 ng/mg in 2019 to 13.2 ng/mg in 2020 after the outbreak. However, the main sources of PAHs remained stable and were dominated by incomplete fossil fuel combustion. A generalized additive model was utilized to analyze the statistical relationships of air pollutants, namely, aerosol particulate matter (PM_2.5), ∑PAHs, ozone (O₃), metal, and meteorological factors such as solar radiation and their impact on aerosol optical depth (AOD). AOD remote sensing data collected by the Terra/MODIS satellite reflects the degree of air turbidity and atmospheric aerosol loading. Despite the small sample size, the model fitting demonstrated a good fit and showed smoothing non-linear interaction effects among the target factors influencing secondary aerosol generation. In conclusion, intense solar radiation, high concentrations of oxidative gases, elevated levels of organic contaminants in aerosols, and the catalytic degradation of PAHs by transition metals contribute to increased atmospheric aerosol loads. This finding enhances the present understanding of the photochemical reaction processes of aerosol particles. However, longer-term observational studies are needed to confirm our findings due to the limited sample size in this study.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102547"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843198","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}

{"title":"Multivariate toxicological assessments of inhaled fine-submicron particle-bound metals in school-aged children of Dhaka city","authors":"Afroza Parvin ,&nbsp;Mohammad Moniruzzaman ,&nbsp;Md Kamal Hossain ,&nbsp;Badhan Saha ,&nbsp;Afsana Parvin ,&nbsp;Priyanka Dey Suchi ,&nbsp;Jahan-E- Gulshan ,&nbsp;Anika Nawar ,&nbsp;Saif Shahrukh ,&nbsp;Md Shaha Alam ,&nbsp;Razia Sultana Ankhy ,&nbsp;Abu Selim ,&nbsp;Md Firoz Khan","doi":"10.1016/j.apr.2025.102545","DOIUrl":"10.1016/j.apr.2025.102545","url":null,"abstract":"<div><div>Dhaka, being one of the most air-polluted cities, experiences a peak pollution level during the dry winter due to its geographical location, climatic conditions, regional urban activities, and air mass trajectories, which are exacerbated by transboundary effects; a reduced pattern was observed during monsoon. Fine and submicron particle (PM_2.5 and PM₁)-bound metals were investigated in fifteen schools across three least-to-polluted cluster regions in Dhaka during the monsoon and winter to identify the dreadful impact of air pollution on school-age children whose airways are smaller and still developing. Children's respiratory deposition flux (RDF) showed PM₁ had a higher retention of metals in alveolar regions, which accounts for 86.91–93.23 % of PM_2.5. In addition, inhalation significantly contributes to both carcinogenic and non-carcinogenic risks, 89.51 % and 72.62 % of the total, respectively. Regarding non-carcinogenic risk, Mn and Pb showed the maximum hazard quotient (HQ) values (3.3 and 2.6) in school environments of industrial and commercial areas, respectively. The Cr, As, and V were the predominant contributors to substantial carcinogenic risk for children. The positive matrix factorization (PMF) deciphers the release of Cr, Mn, and Ni into the atmosphere from industries, whereas automobile exhaust, coal combustion, and heavy-oil combustion solely emit Pb, As, and V in the air, respectively. In industrial and commercial areas, the cancer risk of children was 65 and 36.6 times higher than in residential zones, respectively. This study intends to identify and categorize distinct pollution sources and their potential risks, consequently providing the required information to develop an integrated approach to reduce emissions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102545"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870613","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}

{"title":"Impacts of cool roofs on urban heat island and air quality in Dhaka, Bangladesh: A case modeling study during a heat wave","authors":"Abeda Tabassum ,&nbsp;Kyeongjoo Park ,&nbsp;Seong-Ho Hong ,&nbsp;Jong-Jin Baik ,&nbsp;Beom-Soon Han","doi":"10.1016/j.apr.2025.102549","DOIUrl":"10.1016/j.apr.2025.102549","url":null,"abstract":"<div><div>This study investigates the impacts of cool roofs on the urban heat island (UHI) and air quality in Dhaka, Bangladesh during an extreme heat wave event occurring in April 2021. A simulation with conventional roofs having an albedo of 0.2 and a simulation with cool roofs having an albedo of 0.8 are conducted using the Weather Research and Forecasting (WRF) model. Cool roofs reduce the 2-m temperature by 0.57 °C in the afternoon (1200–1700 LST) and cause the urban cool island in the daytime. In the afternoon, cool roofs reduce the planetary boundary layer height by 265 m and greatly suppress the urban breeze, reducing the 10-m wind speed by 0.8 m s⁻¹. As a result, the near-surface passive tracer (carbon monoxide) concentration increases by 45 ppb (52 %) in the afternoon. Cool-roof effects on the UHI and air quality are overall more pronounced in hotter areas. Cool roofs lead to statistically significant decreases in Humidex (−0.19), discomfort index (0.22), and heat index (−0.36 °C) in the afternoon, but all indices remain within the same stress levels. This suggests that additional measures such as urban greenery and other climate-sensitive urban designs are required along with cool roofs for an effective mitigation of urban extreme heat in Dhaka.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102549"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855451","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}

{"title":"Impact of carbonized products on reducing pollutant emission from household solid fuel combustion","authors":"Zhenkun Guo ,&nbsp;Haocheng He ,&nbsp;Feiran Song ,&nbsp;Xiaofeng Chen ,&nbsp;Mengyuan Liu ,&nbsp;Fanhui Guo ,&nbsp;Juan Chen ,&nbsp;Shijian Lu ,&nbsp;Yonghui Feng ,&nbsp;Shuxun Sang ,&nbsp;Jianjun Wu","doi":"10.1016/j.apr.2025.102548","DOIUrl":"10.1016/j.apr.2025.102548","url":null,"abstract":"<div><div>Household solid fuel combustion remains a major source of ambient air pollution in developing regions. To address this challenge, we propose a carbonization-driven modification strategy by converting low-rank coal and agricultural straw into bio-coal briquettes through volatile removal. Systematic field measurements using a dilution sampling system revealed that stable combustion of carbonized briquettes in semi-gasifier stoves significantly reduced particulate emissions. Specifically, the optimal blend containing 20 % carbonized straw achieved a 41.5 % decrease in PM_2.5 emission factor (3.7 vs. 4.9 mg/g) compared to raw coal, along with the lowest total suspended particulates (TSP, 3.92 mg/g) and PM₁ (2.14 mg/g). Mass-based emission reductions were observed for organic carbon (88.4 ± 1.8 %), elemental carbon (88.8 ± 2.5 %), 16 priority PAHs (85 ± 1.6 %), and benzopyrene (95 ± 2.7 %), while energy-based emission factors of heavy metals and toxic nonmetals (Pb, Cr, As, etc.) decreased by 13.95 %. SEM-verified particle morphology indicated compact carbon matrices with fewer fragmented particulates. Crucially, this technology demonstrates dual benefits: a reduction in toxicity equivalency of inhalable pollutants per household annually, and decentralized production feasibility using rural biomass waste. Despite higher particulate emissions during straw carbonization than coal (21.7 vs. 12.1 mg/g), the net emission reduction across the fuel lifecycle positions carbonized briquettes as a scalable transition solution toward low-emission household energy in resource-limited settings.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102548"},"PeriodicalIF":3.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843872","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}

{"title":"Emission characteristics and removal efficiencies of SO2, NOx, particulate matter, and dioxins in iron ore sintering after ultra-low emission transformation","authors":"Yuhao Zhang ,&nbsp;Peiqiang Zhao ,&nbsp;Dahai Yan ,&nbsp;Mingli Li ,&nbsp;Xinglin Zhang ,&nbsp;Changhao Cui ,&nbsp;Chao Chen","doi":"10.1016/j.apr.2025.102543","DOIUrl":"10.1016/j.apr.2025.102543","url":null,"abstract":"<div><div>Iron ore sintering, as the dominant pollutant source in China's iron and steel industry, is responsible for substantial emissions of SO₂, NO_x, particulate matter (PM), and dioxins, posing critical challenges to air quality. This study evaluated the performance of ultra-low emission transformation, a nationwide initiative to further restrict industrial emissions through advanced air pollution control technologies, in controlling multi-pollutant emissions from sintering flue gas. The results demonstrated that ultra-low emission transformation significantly reduced the concentrations of SO₂, NO_x and PM, in sintering flue gas, with emission factors after transformation plummeting to 0.007, 0.005, and 0.002 kg/t-iron ore, respectively, representing reductions of 98.8–99.2 % compared to pre-transformation scenario. The electrostatic precipitator showed a multi-pollutant controlling ability, exhibiting 34.1 %, 93.1 %, 93.0 %, and 93.8 % of SO₂, PM, dioxins mass concentration and dioxins I-TEQ removal efficiency, respectively. Meanwhile, the semi-dry flue gas desulfurization achieved81.7 % and 82.3 % dioxins removal efficiency. Notably, the unexpected increase in dioxin emissions across selective catalytic reduction, attributed to temperature-dependent catalytic reformation, provides critical insights for optimizing air pollution control device configurations to avoid trade-offs in multi-pollutant control. This work provides industrial-scale evidence supporting China's ultra-low emission transformation policy in iron ore sintering, offering a technically available pathway to reconcile emission reduction targets with sustainable steel production.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102543"},"PeriodicalIF":3.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838225","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}

{"title":"Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF)","authors":"Vikas Kumar ,&nbsp;Manoranjan Sahu ,&nbsp;Basudev Biswal ,&nbsp;Jai Prakash ,&nbsp;Shruti Choudhary ,&nbsp;Ramesh Raliya ,&nbsp;Tandeep S. Chadha ,&nbsp;Jiaxi Fang ,&nbsp;Pratim Biswas","doi":"10.1016/j.apr.2025.102539","DOIUrl":"10.1016/j.apr.2025.102539","url":null,"abstract":"<div><div>The temporal granularity of data in receptor models plays a key role in identifying emission patterns and episodic pollution events, which are essential for robust source apportionment. Low-time resolution measurements may overlook short-term variations, leading to an incomplete representation of pollution sources. This study investigated the source characteristics and contributions of PM_2.5 across different time resolutions (1-h, 2-h, 4-h, 8-h, 12-h, and 24-h) and seasons, using multi-time-season-resolved chemical composition data collected at Major Dhyan Chand National Stadium in Delhi from May 2019 to February 2020. Positive Matrix Factorization (PMF) identified eight consistent factors across all time resolutions and seasons: two solid fuel combustion sources (SFC1 and SFC2), an S-rich source, traffic (exhaust and non-exhaust), dust, and three anthropogenic industrial/combustion plume events (Cl-Br, Pb-Se, and Cu-Cd). The comparison of source profiles and contributions at different time resolutions revealed that SFC1 exhibited the highest temporal variability across all seasons, followed by Cl-Br, traffic, Pb-Se, and Cu-Cd, while S-rich and dust factors remained relatively stable. The variation in source profiles over time, influenced by species mixing, posed challenges for source identification. A sensitivity analysis using the coefficient of divergence (CoD) showed that heterogeneity in source profiles increased with coarser time resolution, indicating the need for high-resolution data to capture dynamic source variations. Given these findings, a rolling-PMF approach with high-resolution data could improve real-time source apportionment by updating source profiles at regular intervals to reflect ever-changing emissions sources better. This study highlights the importance of high-resolution data in achieving accurate and temporally resolved source apportionment, essential for air quality management and policy development.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 8","pages":"Article 102539"},"PeriodicalIF":3.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865138","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}

{"title":"Spatiotemporal distribution and hotspot positioning of odors in an industrial area: A case study on identifying potential emission sources using a mobile micro-sensing vehicle","authors":"Yu-Lun Tseng ,&nbsp;Chung-Shin Yuan ,&nbsp;Chiu-Ying Pan ,&nbsp;Wen-Hsi Cheng","doi":"10.1016/j.apr.2025.102542","DOIUrl":"10.1016/j.apr.2025.102542","url":null,"abstract":"<div><div>This study utilized a micro-sensing device to identify the spatiotemporal distribution of sulfide (H₂S), ammonia (NH₃), and total volatile organic compounds (TVOCs) in an industrial park located at southern Taiwan. These devices were installed on a mobile vehicle and integrated with geographic information systems (GIS) and global positioning systems (GPS) for real-time environmental monitoring. The monitoring data were used to plot concentration contours with a SURFER mapping software for tracking emission sources. There was a composting facility to the northwest and two livestock farms to the north of the industrial park, which were estimated to be the sources of the high concentrations of H₂S (360–600 ppb) and NH₃ (840–1500 ppb) in the northeastern region of the industrial area. Additionally, two large solvent recovery treatment factories in the northwest are emitting VOCs (180–1200 ppb), contributing to the odorous source of organic pollutants. The results successfully confirmed that the locations of odor complaints were highly correlated with the odor detection hotspots. Therefore, the mobile intelligent vehicle equipped with micro-sensing device can accurately position the locations of odor pollution and further assist environmental inspection agencies for pollution prevention.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102542"},"PeriodicalIF":3.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834125","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}

{"title":"Machine learning analysis of drivers of differences in PAH content between PM1 and PM10 in Zagreb, Croatia","authors":"Nikolina Račić ,&nbsp;Gordana Pehnec ,&nbsp;Ivana Jakovljević ,&nbsp;Zdravka Sever Štrukil ,&nbsp;Francesco Mureddu ,&nbsp;Michael Forsmann ,&nbsp;Mario Lovrić","doi":"10.1016/j.apr.2025.102541","DOIUrl":"10.1016/j.apr.2025.102541","url":null,"abstract":"<div><div>Particulate matter (PM) is a critical component of air pollution, with its size fractions, PM₁ and PM₁₀, posing varying risks to human health. Among its constituents, polycyclic aromatic hydrocarbons (PAHs) are of particular concern due to their toxicity and ability to affect respiratory health. PM₁ particles, being smaller, can penetrate deeper into the respiratory system, making the distribution of PAHs across PM₁ and PM₁₀ especially relevant. This study examines the seasonal patterns and factors influencing PAH concentrations in PM₁ and PM₁₀ collected in Zagreb, Croatia. A combination of machine learning (ML) techniques, including Random Forest (RF) regression and Principal Component Analysis (PCA), and statistical approaches like t-tests and Cohen's d, were applied to explore these relationships. Post-hoc interpretation using SHapley Additive exPlanations (SHAP) clarified the contribution of various predictors in the models. Results indicated that PAH concentrations contributions were higher in PM₁ than PM₁₀, posing greater health risks associated with finer particles. Seasonal trends showed increased PAH levels during winter and spring, primarily driven by heating activities and temperature inversions. The study also highlighted the \"J_Curve_Day\" variable as the most critical predictor in RF regression models, capturing the influence of seasonal changes on PAH levels through its representation of meteorological conditions and atmospheric processes. These insights shows the importance of understanding seasonal variability in PAH distributions within PM to inform air quality management and public health strategies.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102541"},"PeriodicalIF":3.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838223","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}

{"title":"Quantitative source apportionment of surface ozone in Liaoning Province, China, under the Asian summer monsoon background","authors":"Ningwei Liu ,&nbsp;Simeng Ma ,&nbsp;Kun Wang ,&nbsp;Sen Yang ,&nbsp;Zhigang Zhang","doi":"10.1016/j.apr.2025.102540","DOIUrl":"10.1016/j.apr.2025.102540","url":null,"abstract":"<div><div>At present, few quantitative study has been carried out on the proportion of local generation and long range transport of ozone in Liaoning, which is the key to reveal regional ozone pollution. Using the Ozone Source Apportionment Technology in the CAMx model, surface ozone concentrations in Liaoning Province, China, were simulated during the warm season of 2023. The contributions of 23 source regions, five industrial sectors, and two chemical precursors to ozone concentrations in 14 cities in Liaoning were determined under the Asian summer monsoon (ASM) background. The major components were lowest in May and increased from June to August, reflecting a significant increase in the northward transport of ozone and its precursors from upstream regions (north and east China) with the onset of the ASM. The contribution of surrounding provinces to Liaoning's ozone embodied the principle of \"proximity and directness\" - the more direct the transport direction of the ASM and the closer the source province to the receptor city, the greater the contribution from source to receptor. Under the ASM background, most ozone was transported from upwind to downwind cities within Liaoning (e.g., Dalian contributed 1.44 % to Anshan, Dandong contributed 1.76 % to Benxi), indicating that the prevailing southwest wind transported ozone and its precursors from upstream cities, contributing to the ozone concentrations in downstream cities. The results may provide reference for regional ozone pollution control.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 7","pages":"Article 102540"},"PeriodicalIF":3.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828968","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}