Atmospheric Pollution Research最新文献

{"title":"Quantifying dust contribution to particulate matter in Central Asia: Insights from the elemental composition of PM2.5 and PM10 in Uzbekistan","authors":"Xuan Liu ,&nbsp;Mansur Amonov ,&nbsp;Jay R. Turner","doi":"10.1016/j.apr.2025.102781","DOIUrl":"10.1016/j.apr.2025.102781","url":null,"abstract":"<div><div>Insufficient ground-based measurements are available to understand particulate matter (PM) in Central Asia, one of the major global dust source regions. Elemental characterization of PM is needed to examine dust contribution to PM and understand dust impacts in this region. We estimated dust concentrations using the first contemporary elemental composition data of PM_2.5 and PM₁₀ samples collected from an urban site in Uzbekistan during the 2023 dusty seasons and compared them to historical PM_2.5 samples from the dusty seasons of 2008–2010. The mean dust contribution to PM_2.5 during the 2023 dusty seasons was 33 % (7.7 μg/m³), comparable to 2008 (31 %) but higher than in 2009 (20 %) and 2010 (26 %). A large dust event originating from the Kyzylkum Desert in 2023 and another from the Aralkum Desert in 2008 were identified by time series analysis of dust concentration, backward trajectory analysis, and satellite images. The two dust event days show lower Fe but higher Ca fractions in PM_2.5 than normal days. Compared to 2008–2010, elevated Zn concentrations were observed in 2023, likely driven by metalworking industries, transportation, and construction activities. These results provide insights into air pollution control in Central Asia and contribute to the understanding of dust composition, sources, and transport within the region.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102781"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135674","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":"Effects of temperature and humidity on water-soluble organic pollutants in the kitchen environment and health risks of lung diseases","authors":"Mingxin Luo ,&nbsp;Hongwei Lou ,&nbsp;Xiaofang Zhang ,&nbsp;Hai Xiao ,&nbsp;Qin Yang","doi":"10.1016/j.apr.2025.102800","DOIUrl":"10.1016/j.apr.2025.102800","url":null,"abstract":"<div><div>Kitchens are significant sources of volatile organic compounds (VOCs), yet water-soluble VOCs (W-VOCs) remain understudied despite their heightened bioavailability and health risks. This study investigates how temperature and relative humidity (RH) influence W-VOC profiles in kitchen environments and assesses associated pulmonary health risks. Simulating real cooking conditions, W-VOCs were collected using color-changing absorbent silica gel across 20 temperature (10–35 °C) and RH (30–≥90 %) scenarios. Gas chromatography–mass spectrometry (GC-MS) identified 65 W-VOCs, including 58 previously unreported compounds, predominantly aldehydes (e.g., nonanal, hexanal, heptanal). Humidity critically impacted W-VOC diversity: species count increased with rising RH across all temperatures, peaking at 25–30 °C. Aldehydes consistently dominated the relative composition. Using molecular probes, W-VOCs significantly enhanced activities of lactate dehydrogenase (LDH), angiotensin-converting enzyme (ACE), and glutathione reductase (GR) (p &lt; 0.05), while inhibiting catalase (CAT). Humidity amplified these effects: higher RH intensified LDH/ACE/GR activation and CAT suppression. Temperature exhibited no clear pattern on enzyme modulation. These findings suggest that W-VOCs may represent a key class of overlooked pollutants, with humidity as a critical modulator of both pollutant diversity and lung injury biomarkers. This study provides pollutant sampling and analysis for W-VOCs and their toxicity screening, supporting targeted kitchen air quality interventions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102800"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135621","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":"Assessment of brick kiln’s air pollutants impact on human health in industrial areas of Kathmandu Valley, Nepal","authors":"Bhupendra Das ,&nbsp;Hishila Sujakhu ,&nbsp;Suvekshya Sitaula ,&nbsp;K.C. Sheela ,&nbsp;Meera Prajapati ,&nbsp;James Hall ,&nbsp;James Robert Hodgson ,&nbsp;Bijaya Maharjan ,&nbsp;Rejina M. Byanju","doi":"10.1016/j.apr.2025.102808","DOIUrl":"10.1016/j.apr.2025.102808","url":null,"abstract":"<div><div>This cross-sectional study investigates the health impact of air pollutants from brick kilns in the Kathmandu Valley, Nepal's most urbanized region. A mixed-methods approach was used, combining quantitative and qualitative data. Air quality data was collected from working environment, exposed and control households using devices (Air Visual Pro, calibrated with GRIMM sensors and Gas meter).</div><div>PM_2.5 concentration around brick kilns was 151.2 μg/m³ compared to control grocery stores (8.8 μg/m³), while households to the brick kilns (&lt;1 km) was 84.6 μg/m³ compared to control households (&gt;1 km) 7.5 μg/m³. The correlation between PM_2.5 and self-reported respiratory symptoms was greater in the exposed communities compared to control one with a strong positive correlation for breathlessness (Pearson correlation coefficient r = 0.68, p &lt; 0.05), moderate correlation for persistent cough (r = 0.53, p &lt; 0.05), asthmatic symptoms (r = 0.55, p &lt; 0.05), phlegm (r = 0.58, p &lt; 0.05), wheeze (r = 0.44, p &lt; 0.05) and bronchitis (r = 0.41, p &lt; 0.05). Around brick kiln workers, PM_2.5 concentrations showed a strong correlation with breathlessness (r = 0.56, p &lt; 0.05), phlegm (r = 0.70, p &lt; 0.05), and wheeze (r = 0.82, p &lt; 0.05), and weak correlation with persistent cough (r = 0.18, p &gt; 0.05) and asthmatic symptoms (r = 0.24, p &gt; 0.05). The findings suggest high PM_2.5 concentrations at brick kiln sites are associated with respiratory symptoms among residents living in local communities. This study emphasizes better quality management through various interventions.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102808"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135698","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":"New insights into the dry deposition distribution of atmospheric microplastics in suburban, urban, and industrial areas: A focus on hawker stalls in the East Coast of Peninsular Malaysia","authors":"Ku Mohd Kalkausar Ku Yusof ,&nbsp;Nurul Najwa Zulkarnain ,&nbsp;Sabiqah Tuan Anuar ,&nbsp;Mohd Nizam Lani ,&nbsp;Noorlin Mohamad ,&nbsp;Elham Taghavi ,&nbsp;Yusof Shuaib Ibrahim","doi":"10.1016/j.apr.2025.102810","DOIUrl":"10.1016/j.apr.2025.102810","url":null,"abstract":"<div><div>Microplastics (&lt;5 mm) exhibit intrinsic characteristics, including density, hydrophobic surfaces, and a high surface-to-volume ratio, that determine their airborne deposition and subsequent exposure within food systems. Their presence has affected humans in several aspects, namely, air quality, public health, and food safety. However, limited information on microplastic contamination and microplastic-related issues as a carrier in airborne contamination at various air quality levels (suburban, urban, and industrial areas) can be investigated at food hawker stalls in coastal environments. This study aims to determine the significant differences in Airborne Microplastic (AMP) abundance among hawker stalls located in suburban, urban, and industrial areas of dry deposition exposure across seven locations in the coastal state of Terengganu, Malaysia. The microplastic particles were collected in an airborne environment using Whatman glass filter paper (0.2 μm). They were then manually sorted under a digital stereomicroscope and identified based on a functional group polymer's physical characteristics (color, shape) and chemical characteristics (ATR-FTIR). The findings provide strong evidence that individuals frequenting coastal hawker stalls are likely exposed to and may ingest atmospheric microplastics, with deposition rates ranging from 0.48 to 17.44 n/m²/d. Microplastic fiber was the dominant microplastic found in the air compared to fragment types in Malaysia. In particular, it was found that transparent microplastics were the most dominant, followed by black, purple, and brown. Two polymers have been identified, namely polyester and polyamide (nylon). This study confirms the dry deposition distribution of atmospheric microplastics associated with hawker stalls in suburban, urban, and industrial populations.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102810"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135700","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":"Daily evolution of VOCs in Beijing: chemistry, emissions, transport, and policy implications","authors":"Marios Panagi ,&nbsp;Roberto Sommariva ,&nbsp;Zoë L. Fleming ,&nbsp;Paul S. Monks ,&nbsp;Gongda Lu ,&nbsp;Eloise A. Marais ,&nbsp;James R. Hopkins ,&nbsp;Alastair C. Lewis ,&nbsp;Qiang Zhang ,&nbsp;James D. Lee ,&nbsp;Freya A. Squires ,&nbsp;Lisa K. Whalley ,&nbsp;Eloise J. Slater ,&nbsp;Dwayne E. Heard ,&nbsp;Robert Woodward-Massey ,&nbsp;Chunxiang Ye ,&nbsp;Joshua D. Vande Hey","doi":"10.1016/j.apr.2025.102783","DOIUrl":"10.1016/j.apr.2025.102783","url":null,"abstract":"<div><div>Volatile organic compounds (VOCs) are important precursors to the formation of ozone (O₃) and secondary organic aerosols (SOA) and can also have direct human health impacts. The emissions of VOCs remain poorly characterized due to the complexity and variability of their sources. The VOC levels in Beijing during the winter campaign (APHH) were investigated using a dispersion model (NAME), and a chemical box model (AtChem2) in order to understand how chemistry and transport affect the VOC concentrations in Beijing. Emissions of VOCs in Beijing and contributions from outside Beijing were modelled using the NAME dispersion model combined with the emission inventories and were used to initialize the AtChem2 box model. The modelled concentrations of VOCs from the NAME-AtChem2 combination were then compared to the output of a chemical transport model (GEOS-Chem). The results from the emission inventories and the NAME air mass pathways suggest that industrial sources to the south of Beijing and within Beijing during the winter campaign are very important in controlling the VOC levels in Beijing. A number of scenarios with different nitrogen oxides to ozone ratios (NO_x/O₃) and hydroxyl (OH) levels were simulated to determine the changes in VOC levels. In Beijing over 80 % of VOC are emitted locally during winter. Most scenarios are in good agreement with daily GEOS-Chem simulations, with the best agreements seen for the modelled concentrations of ethanol, benzene and propane with correlation coefficients of 0.67, 0.63 and 0.64 respectively. Furthermore, the production of formaldehyde in an air mass within 24 h of travel from Beijing was investigated, and it was estimated that 90 % of formaldehyde in Beijing is secondary, produced from oxidation of non-methane volatile organic compounds (NMVOCs). The benzene/CO and toluene/CO ratios during the campaign are very similar to the ratio derived from literature for 2014 in Beijing, however more data are needed to enable investigation of more species over longer timeframes to determine whether this ratio can be applied to predicting VOCs in Beijing. The results suggest that VOC concentrations in Beijing are driven predominantly by sources within Beijing and by local atmospheric chemistry during the winter. Moreover, the relationship of the NO_x/VOC and O₃ shows that the VOCs during the winter campaign are possibly emitted from similar sources as NO_x.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102783"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135676","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":"Forest fire types, soil moisture extremes, and aspects and their interactions significantly affect soil CO2 effluxes in post-fire black pine forests","authors":"Renato S. Pacaldo ,&nbsp;Miraç Aydın ,&nbsp;Randell Keith Amarille","doi":"10.1016/j.apr.2025.102819","DOIUrl":"10.1016/j.apr.2025.102819","url":null,"abstract":"<div><div>Alleviating soil CO₂ pollution after forest fires is challenging, especially for large tracts of post-fire forest land. Thus, a granular management approach prioritizing CO₂ hotspot areas must be accounted for in CO₂ pollution management and the efficient implementation of post-fire forest rehabilitation programs. However, identifying precisely CO₂ hotspot areas requires understanding the effects of multiple factors on soil CO₂ fluxes because the interaction among multiple variables magnifies the effects of forest fires. This study addresses a critical question of how fire types (crown and surface fires), aspects (north- and south-facing slopes), and soil moisture extremes (extremely wet and dry soils) affect soil CO₂ effluxes (F_CO2). We simultaneously measured F_CO2, soil, and air temperatures, as well as soil moisture, in post-fire black pine (<em>Pinus nigra</em> Arnold) forests using an automated soil respiration system (LI-8100 A). The analysis revealed significant effects of the aforementioned factors and their interaction on F_CO2 (p &lt; 0.05), with the highest emissions (2.55 μmol s⁻¹ m⁻²) occurring at the water-saturated surface fire on the south-facing slope, suggesting that CO₂ pollution management efforts should prioritize this location. Although the water-drought crown fire areas at the south-facing slope generate the significantly lowest F_CO2 (1.21 μmol s⁻¹ m⁻²), offsetting CO₂ emissions during wet periods, this site should be given priority in rehabilitation efforts to accelerate recovery. The F_CO2 correlates positively with temperatures but negatively with soil moisture. Our findings highlight the importance of accounting for multiple factors in quantifying the F_CO2 and identifying CO₂ pollution hotspots in post-fire forest ecosystems.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102819"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135744","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":"Characteristics and source apportionments of WSIIs under different pollution conditions in Beijing from 2014 to 2017","authors":"Fangwei Zuo ,&nbsp;Qing Duan ,&nbsp;Honglei Wang ,&nbsp;Tianliang Zhao ,&nbsp;Zihan Wang ,&nbsp;Kun Cui ,&nbsp;Deyu Liu ,&nbsp;Yue Chen","doi":"10.1016/j.apr.2025.102799","DOIUrl":"10.1016/j.apr.2025.102799","url":null,"abstract":"<div><div>This study analyzed the temporal variations of water-soluble inorganic ions (WSIIs) in Beijing from 2014 to 2017, focusing on their characteristics and source apportionments under varying pollution conditions. Between these years, notable changes in pollution patterns were observed: the number of clean days increased by 22.2 %, with PM_2.5 pollution days decreasing by 51.0 % and O₃ pollution days increasing by 27.7 %. Concurrently, NH₄⁺, Cl⁻, NO₃⁻ and SO₄²⁻ concentrations declined by 51.7 %, 68.1 %, 48.7 % and 57.5 %, respectively, whereas K⁺, Mg²⁺ and Ca²⁺ inversely increased by 39–75 %. Under worsening PM₁₀ pollution, dust components increased to 30 %, whereas chemical components remained stable despite PM_2.5 intensification. During PM_2.5-PM₁₀ co-pollution, the proportion of dust components decreased from 8 % (slight) to 3 % (serious), while secondary ions increased proportionally; additionally, as O₃ pollution worsened from moderate to heavy, secondary ion concentrations declined by 12 %and this reduction expanded further to 48 % under PM_2.5-O₃ co-pollution. WSIIs exhibited a diurnal unimodal pattern (peaking at 09:00) during moderate O₃ pollution and slight-to-moderate PM_2.5-O₃ co-pollution. The 2014–2016 primary source (mixed coal combustion-vehicle emissions) saw 8.6 % lower concentration but annual rising contribution. In 2014, its contribution increased as PM_2.5 pollution worsened but declined under aggravated O₃ pollution; the situation was the opposite in 2016. The secondary contribution consistently exhibited inverse trends to the coal-vehicle mixed sources under aggravated pollution episodes. Industry contributed 22–86 % more to PM_2.5 pollution to O₃ pollution, while dust played a more significant role on clean days. Photochemical maintained a stable contribution (20–30 %) under slight-to-moderate O₃ pollution, significantly higher than under PM_2.5 pollution.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102799"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135685","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":"Meteorology-normalized ozone enhancement during the 2022 late-spring COVID-19 lockdown in Beijing","authors":"Zhiheng Liao ,&nbsp;Youjun Dou ,&nbsp;Weiwei Pu ,&nbsp;Zhiqiang Ma","doi":"10.1016/j.apr.2025.102812","DOIUrl":"10.1016/j.apr.2025.102812","url":null,"abstract":"<div><div>The re-emergence of COVID-19 in late spring (April 29 to June 5) of 2022 compelled the Beijing government to implement a stringent lockdown policy to curb the spread of the virus. In comparison to the first lockdown in the winter of 2020, the late spring lockdown provided a more suitable opportunity to examine how ozone (O₃) responds to substantial emission reductions during a photochemically active season. This study investigates the meteorological and chemical mechanisms underlying the surface O₃ enhancement during the 2022 late spring lockdown in Beijing, using a combination of ground-based and satellite observations, along with three meteorology normalization models (Random Forest, Long Short Term Memory, and eXtreme Gradient Boosting). The results indicate that the surface O₃ concentration in Beijing increased by 4.9 ppbv during the 2022 lockdown (compared to the same period in 2021 and 2023). The multiple meteorology normalization models reveal that on average 14.3 % (0.7 ppbv) of surface ozone enhancement was attributed to adverse meteorological conditions, and the remaining 85.7 % (4.2 ppbv) attributed to unfavorable emission factors, including a substantial reduction in nitrogen oxides (NO_x) and a slight increase in volatile organic compounds (VOCs). Despite substantial NO_x reductions during the lockdown, the O₃ formation sensitivity remained VOC-limited, rather than shifting to NO_x-limited as expected, highlighting the priority of VOC-targeted management for controlling O₃ pollution at the current stage.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102812"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135702","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":"Wintertime sources and chemical characteristics of metal elements in urban PM2.5 in Eastern China","authors":"Minfeng Zhou ,&nbsp;Hanrui Lang ,&nbsp;Xiaoming Gu ,&nbsp;Heng Wei ,&nbsp;Yu Xiong ,&nbsp;Shilin Song ,&nbsp;Yunjiang Zhang","doi":"10.1016/j.apr.2025.102851","DOIUrl":"10.1016/j.apr.2025.102851","url":null,"abstract":"<div><div>Metal elements in fine particulate matter (PM_2.5) pose significant risks to human health and urban air quality, yet their chemical characteristics and emission sources remain poorly constrained across many regions in eastern China. Here, we investigate the wintertime (December 2023 to February 2024) chemical composition and sources of PM_2.5-bound metal elements in Suzhou, Eastern China. Twelve metal species were measured at high temporal resolution using online monitoring techniques, and their sources were identified using the Positive Matrix Factorization (PMF) model. The average PM_2.5 concentration was 54 μg m⁻³, with metal elements contributing 1600 ng m⁻³, or 3.0 % of the total mass. These metals exhibited clear diurnal patterns, with higher concentrations at night and during pollution episodes. PMF results indicated that mineral dust (22 %), coal combustion (20 %), and traffic emissions (17 %) were the dominant sources. Although vehicle emissions decreased during the Chinese Spring Festival, firework displays emerged as a major short-term contributor to metal exposure. Air mass trajectory analysis further revealed that northwesterly airflows from inland provinces (Henan and Anhui) significantly enhanced metal concentrations, highlighting the role of regional transport. In contrast, maritime air masses from the northeast were associated with cleaner conditions. Health risk assessment further indicated that arsenic posed the greatest noncarcinogenic and carcinogenic risks, underscoring the need for stricter control of As-related emissions. These findings emphasize the importance of joint regional strategies for mitigating metal elements pollution in rapidly urbanizing regions of Eastern China.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102851"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135703","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":"Integrated mobile monitoring and atmospheric modeling for methane emission assessment in an industrial-agricultural hub: A case study of Binzhou, China","authors":"Yinwei Luo ,&nbsp;Wanqi Sun ,&nbsp;Zhen Li ,&nbsp;Yan Wang ,&nbsp;Bo Yang ,&nbsp;Qirun Li ,&nbsp;Jiawei Dong ,&nbsp;Sitong Chen ,&nbsp;Jianing Wang ,&nbsp;Pengbo Li ,&nbsp;Guozhong Wei ,&nbsp;Yingying Ding ,&nbsp;Yu Wang","doi":"10.1016/j.apr.2025.102801","DOIUrl":"10.1016/j.apr.2025.102801","url":null,"abstract":"<div><div>Transient and spatially heterogeneous methane (CH₄) emissions hamper the formulation of effective abatement policies. Here we construct an integrated “Monitoring-Identification-Modeling” framework that couples a self-developed off-axis integrated cavity-output spectrometer (OA-ICOS), a meter-resolution vehicle-mounted platform (40 m × 1 s), and CALPUFF inverse dispersion modeling to map and quantify CH₄ sources across the industrial-agricultural city of Binzhou, China. Compared with fixed-site and satellite products, our mobile observations improve spatiotemporal resolution by ≥ 10² and ≥10³ times, respectively, enabling the first fine-scale depiction of urban CH₄ heterogeneity in this region. Three classes of emitters were differentiated through simultaneous CH₄-C₂H₆ fingerprinting: (i) fossil-fuel-dominated hotspots such as the Zhonghai Asphalt Industrial Park (peak 2911 ppb; 33.7 g s⁻¹) and a bus-terminal CNG hub (CH₄/C₂H₆ r = 0.92); (ii) Fossil-fuel-related emission sources, including East Suburb Reservoir, whose methane flux (56.7 g s⁻¹) is primarily driven by natural gas leakage from aging infrastructure; and (iii) agricultural sources represented by Yiliyuan Livestock Farm (11.7 g s⁻¹). Although super-emitters occupied &lt;10 % of the surveyed area, they accounted for ∼55 % of the total flux. Model-observation comparison returned an overall RMSE of 45 ppb (±22 %), confirming the robustness of the mobile-inversion paradigm in the absence of detailed bottom-up inventories. Our results demonstrate that targeted leak-detection-and-repair (LDAR) at a handful of high-intensity sites can deliver disproportionate climate benefits, and that the proposed framework is readily apply to other mixed-source regions for near-real-time CH₄ mitigation planning.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"17 3","pages":"Article 102801"},"PeriodicalIF":3.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146135686","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}