Atmospheric Pollution Research最新文献

{"title":"Detection of elevated CO₂ and CH₄ emissions from power plant and landfill sites using airborne and spaceborne imaging spectroscopy","authors":"Hasmukh K. Varchand ,&nbsp;Mehul R. Pandya ,&nbsp;Jalpesh A. Dave ,&nbsp;Parthkumar N. Parmar ,&nbsp;Dhruv D. Desai ,&nbsp;Manoj Singh ,&nbsp;Dhiraj B. Shah ,&nbsp;Vishal N. Pathak ,&nbsp;Himanshu J. Trivedi","doi":"10.1016/j.apr.2025.102607","DOIUrl":"10.1016/j.apr.2025.102607","url":null,"abstract":"<div><div>Accurate quantification of atmospheric carbon dioxide (CO₂) and methane (CH₄) emissions from point sources is crucial in advancing our understanding of atmospheric composition and mitigating climate change. In this study, we have established an advanced remote sensing framework using imaging spectrometer data to detect and estimate anomalous concentrations of CO₂ and CH₄ in the atmosphere from targeted point sources, employing the spectral normalized matched filter (SNMF) algorithm. This algorithm utilizes the distinct absorption features of CO₂ and CH₄ in the shortwave infrared (SWIR) bands, enabling precise discrimination of emission sources from the atmospheric background. The practical benefits of SNMF are robust detection, background suppression, and better adaptiveness. The SNMF algorithm was rigorously tested at two key sites in tropical atmospheric conditions: Kota Super Thermal Power Station (KSTPS) in Rajasthan, India, for CO₂ emission detection and Pirana landfill site in Ahmedabad, India, for CH₄ emission detection. Multiple cloud-free satellite observations from PRISMA and EMIT have been used here, and airborne AVIRIS-NG data were also included in the study. The analysis revealed the robustness of the SNMF algorithm for CO₂ and CH₄ detection in different seasons at the same site, and a comparison was also made between PRISMA and EMIT retrievals. We estimated annual CO₂ emissions from KSTPS of 6.35 ± 0.65 megatons and CH₄ emissions from the Pirana landfill of 0.80 ± 0.14 megatons. Wind data have been incorporated for uncertainty analysis to enhance the robustness of the emission estimation, and external emission data has been analyzed for validation.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102607"},"PeriodicalIF":3.9,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144220849","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":"Dust weather in Tarim Basin derived from a dust event on April 18–21, 2023","authors":"Yongchao Zhou ,&nbsp;Yazhou Zhao ,&nbsp;Xin Gao ,&nbsp;Jiaqiang Lei ,&nbsp;Diwen Dong","doi":"10.1016/j.apr.2025.102605","DOIUrl":"10.1016/j.apr.2025.102605","url":null,"abstract":"<div><div>Aerosols generated by dust weather significantly affect global climate change by altering solar radiation. In this study, a dust event occurred in Tarim Basin, China, from April 18–21, 2023 was selected to study the optical characteristics, emission, dry deposition, and dust transmission path based on the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and multi-source satellite remote sensing data. We showed that dust weather had effects over a broad region, the most serious effect was found in Tarim Basin, where the particle concentration of PM₁₀ and PM_2.5 exceeded the national standard. The spatial distribution of the ultraviolet aerosol index (UVAI) changed significantly with daily dust diffusion and deposition. The UVAI of Tarim Basin was higher than that of the other locations. During this dust event, the vertical distribution of dust aerosols in Tarim Basin was extensive and the maximum height had reached over 10 km. Dust emissions were mainly concentrated on April 18–19, and the eastern part of Xinjiang, China and the central and eastern parts of Tarim Basin were the main emission areas. The dust emission area was much smaller than the dry deposition area. Moreover, wind speed was an important factor causing dust weather, and the high wind speed areas were consistent with the high dust emission areas. Finally, we concluded that the cold air entered Tarim Basin through different paths caused this dust event. The airflows at different heights were affected by the terrain, and the dust subsided and rose several times during its transmission.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102605"},"PeriodicalIF":3.9,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230934","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":"Indoor ultrafine particles entering human respiratory regions: defining an index for maximum deposition dose probability in a university classroom case study","authors":"A. Pelliccioni ,&nbsp;M. Gherardi","doi":"10.1016/j.apr.2025.102599","DOIUrl":"10.1016/j.apr.2025.102599","url":null,"abstract":"<div><div>Ultrafine particles (UFPs) are relevant for human health due to their ability to penetrate the respiratory tract. Although several diseases are related to UFPs exposure, no reference levels for protecting human health have been established yet. In this work, experimental size distribution and concentration of UFPs are used to model their deposition in five different regions of the respiratory tract. This has been achieved by introducing the concept of a resonant system between the modelling of human deposition of particles and the environmental data. Such resonant system is mathematically described by the resonance angle, a function linking the particle deposition efficiency for different particles size classes to the corresponding measured size distribution. From this resonance angle it is possible to calculate the probability of maximum deposition dose corresponding to the actual UFPs indoor contamination. This method has been applied to one-month measurements of UFPs in a university classroom in Rome, Italy. Results show that the average values of risk angle of deposition are time dependent and ranged between 46,4° and 62,6° for alveolar and bronchiole regions, respectively, confirming UFPs mainly impacting the deepest respiratory region. The risk of exposure to UFPs as described by the resonance angle resulted varying along the week and among the five pulmonary regions of concern. Moreover, the calculated maximum probability for dose deposition in the five regions of the respiratory tracts did not always occur in correspondence of high values for the total PNC of UFPs.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102599"},"PeriodicalIF":3.9,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144239797","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":"Mendelian randomization study supports the causal effects of air pollutants on cognitive function","authors":"Yunyun Guo ,&nbsp;Fei Gao ,&nbsp;Yuxi Liang","doi":"10.1016/j.apr.2025.102598","DOIUrl":"10.1016/j.apr.2025.102598","url":null,"abstract":"<div><div>Observational studies have linked air pollutants to cognitive impairment, though the causal relationship is yet to be firmly established. This research employs a two-sample Mendelian randomization (MR) analysis to evaluate the causal effects of exposure to PM_2.5, PM₁₀, NO₂, and NO_x on cognitive function. This study extracted 8 single nucleotide polymorphisms (SNPs) associated with PM_2.5, 22 SNPs associated with PM₁₀, 7 SNPs associated with NO₂ and 8 SNPs associated with NO_x as genetic variants on European ancestry. The primary method for MR estimation utilized was inverse variance weighting (IVW). The findings indicate that exposure to PM_2.5 results in poorer performance on the Trail Making Test (beta = 0.24, 95 % CI: 0.01 to 0.47, P = 0.04). Exposure to NO_x is associated with a decline in fluid intelligence (beta = −0.88, 95 % CI: 1.42 to −0.34, P = 0.002). Additionally, each standard deviation increase in NO_x exposure is linked to a decrease in the number of correct matches (beta = −0.39, 95 % CI: 0.73 to −0.05, P = 0.02) and attempted matches (beta = −0.40, 95 % CI: 0.74 to −0.05, P = 0.02) on the Symbol Digit Substitution (SDS) test, and an increase in the time taken to enter a value (beta = 0.41, 95 % CI: 0.06 to 0.76, P = 0.02). Furthermore, a positive association was observed between PM₁₀ exposure and the risk of Alzheimer's disease (OR = 2.15, 95 % CI: 1.14 to 4.03, P = 0.02). This study suggests that PM₁₀ is causally associated with Alzheimer's disease risk. Genetically PM_2.5 and NO_x exposure showed a significant association with cognitive decline in people of European origin. Air pollutants is important for developing effective prevention strategies for cognitive decline.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102598"},"PeriodicalIF":3.9,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230783","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":"Quantifying the major sources of nitrate in PM2.5 in a port city in southeastern China: Perspectives from nitrate dual isotopes and NOx emission inventory","authors":"Qi-Yu Miao ,&nbsp;Xiang Li ,&nbsp;Shui-Ping Wu ,&nbsp;Li-Xiong He ,&nbsp;Bing-Qi Jiang ,&nbsp;Yi-Jing Liu ,&nbsp;Xi-Jie Yin","doi":"10.1016/j.apr.2025.102597","DOIUrl":"10.1016/j.apr.2025.102597","url":null,"abstract":"<div><div>Nitrate is a major component of PM_2.5 and has important implications for air quality, ecosystems and climate change. Understanding the formation mechanisms and sources of nitrate is crucial for formulating effective NO_x reduction policies. In this study, PM_2.5 samples were collected simultaneously at two sites in Xiamen in 2017. Water-soluble inorganic ions and stable N and O isotopes of nitrate (δ¹⁵N-NO₃^- and δ¹⁸O-NO₃^-) were determined. The results showed that NO₃⁻ was less important than SO₄²⁻ (NO₃⁻/SO₄²⁻ = 0.8), but had a more pronounced seasonal variability. The means of δ¹⁵N-NO₃^- and δ¹⁸O-NO₃^- at the urban site (+3.9 ± 2.8 ‰ and +63.0 ± 8.2 ‰) were not significantly different from those at the suburban site (+4.5 ± 2.7 ‰ and +63.4 ± 8.8 ‰). Different from δ¹⁵N-NO₃^-, δ¹⁸O-NO₃^- showed a clear seasonal variation and was negatively correlated with temperature and positively correlated with NO₃⁻ concentration. Using a Bayesian mixing model, NO₂ + •OH was estimated to be the dominant formation pathway for nitrate (51.3−52.4 %), followed by the N₂O₅ hydrolysis (25.7−25.8 %), the N₂O₅ + Cl (10.9−11.3 %) and the NO₃ + HCs (10.9−11.6 %). On average, coal combustion, vehicle exhaust, ship emissions and soil emissions contributed 30.3−36.6 %, 27.8−30.4 %, 19.8−22.2 % and 15.8−17.2 % respectively to NO₃⁻ in PM_2.5. However, NO_x emission inventory showed that soil emissions were negligible (0.09−1.19 %) compared to that of coal combustion (35.6 %), vehicle exhaust (37.2 %) and ship emissions (20.1 %) in Xiamen. The results highlighted that more attention should be paid to ship emissions in coastal areas and that NO_x emissions from soil microbes need further investigation.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102597"},"PeriodicalIF":3.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212531","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":"Assessing the environmental effect of China's carbon emissions trading scheme: Firm-level evidence from thermal power plants","authors":"Boyang Xu ,&nbsp;Daxin Dong ,&nbsp;Zijian Chen","doi":"10.1016/j.apr.2025.102596","DOIUrl":"10.1016/j.apr.2025.102596","url":null,"abstract":"<div><div>China plans to achieve carbon peaking by 2030 and carbon neutrality by 2060. The cap-and-trade emissions trading scheme (ETS) has been implemented in China to achieve its CO₂ emission targets. Using detailed data from thermal power plants from 2006 to 2021, this paper assesses the environmental effects of ETS. The difference-in-differences (DID) regression model is utilized to evaluate the policy impacts. We have the following findings. (1) The ETS not only significantly reduced CO₂ emissions, but also achieved the additional goal of reducing atmospheric pollutant emissions. Therefore, the policy has a marked environmental impact. (2) The mechanism analysis indicates that the ETS regulated power plants through price and trading volume signals. The environmental effects are achieved through reducing fossil fuel usage and driving the transition of the energy structure toward cleaner energy. (3) Further analysis indicates that the ETS has produced beneficial inter-regional spillover effects and that there is no evidence of cross-regional shifts in power generation or energy usage, or of CO₂ emission transfers within power groups. Based on the research results of our study, practical implications are discussed.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102596"},"PeriodicalIF":3.9,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144177824","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":"Characterization of road dust and formulation of a molasses-based dust suppressant for heavy-duty haul roads in open-pit coal mine","authors":"Jie Yan ,&nbsp;Fanghui Yang ,&nbsp;Weiqing Zhang ,&nbsp;Peiyuan Li ,&nbsp;Wei Zhou ,&nbsp;Xiang Lu ,&nbsp;Kongqian Li","doi":"10.1016/j.apr.2025.102589","DOIUrl":"10.1016/j.apr.2025.102589","url":null,"abstract":"<div><div>To address the rapid evaporation of water during dust suppression on heavy-duty roads in open-pit coal mine, this study investigated the physicochemical properties of road dust and formulated a molasses-based dust suppressant with enhanced water retention, anti-evaporation, and consolidation capabilities. Analysis revealed that road dust contains high levels of TSP, PM₁₀ and PM_2.5, indicating significant dust pollution potential. The presence of hydrophilic components, confirmed by crystal structures and functional groups, was supported by the dust's small initial contact angle and short settling time. However, its low moisture content (1.24 %) highlighted poor water retention. To overcome this, molasses, an industrial by-product with excellent water retention and consolidation properties, was chosen as the primary component of the suppressant. Experiments demonstrated that a 30 % molasses solution combined with sodium dodecyl benzenesulfonate (SDBS) achieved optimal synergy. The addition of 2 % glycerol enhanced moisturizing performance, while 2 % CaCl₂ provided maximum moisture absorption. The optimized suppressant achieved an evaporation rate of 2.71 g/h, a failure resistance force of 136.69 N, and a penetration depth of 8.27 cm. Microscopic analysis showed that the consolidated dust layer exhibited a smooth, dense layer with firmly bonded dust particles. In its liquid state, the molasses-based dust suppressant wets and suppresses dust; upon water evaporation, it solidifies into a cohesive layer, providing lasting dust suppression. This study offers an efficient and environmentally sustainable solution for dust suppression on open-pit coal mine haul roads.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102589"},"PeriodicalIF":3.9,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125024","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 sources of water-soluble organic nitrogen in PM2.5 from a resource-dependent city","authors":"Fei Xie ,&nbsp;Fengjiao Wang ,&nbsp;Liang Li ,&nbsp;Chenchen Peng ,&nbsp;Xinjun Zhou ,&nbsp;Ying Sun ,&nbsp;Changwei Lü","doi":"10.1016/j.apr.2025.102586","DOIUrl":"10.1016/j.apr.2025.102586","url":null,"abstract":"<div><div>Water-soluble organic nitrogen (WSON) are important fine particles (PM_2.5) fractions consisting complex mixtures, while their spatiotemporal characteristics and sources are not fully understood, especially within regions of intense industrial activities and arid climate. Focusing on seasonal pollution characteristics of Wuhai, this work analyzes the relationships between WSON and indicators such as water-soluble organic carbon, water-soluble ions, organic carbon, and elemental carbon, and elucidates the sources of WSON in Wuhai's PM_2.5. The results indicated that WSON concentrations in PM_2.5 during the heating and non-heating seasons were 2.36 ± 2.14 μg/m³ and 0.78 ± 0.37 μg/m³, respectively, showing a seasonal pattern with higher levels in the heating season, consistent with other chemical components of PM_2.5. The significant correlations between WSON and SO₄²⁻, NO₃⁻, NH₄⁺, Cl⁻, K⁺, OC, and EC in both seasons suggested that the sources of WSON included secondary aerosol formation, coal combustion, biomass burning, and vehicle exhaust emissions in Wuhai. The N:C ratio indicated that amino acids and organic nitrates may be major components of WSON in the studied city. The NO₃⁻/SO₄²⁻ ratio revealed that PM_2.5 level was primarily influenced by fixed combustion sources, particularly during the heating season. The PMF model showed significant seasonal differences in WSON sources, with coal combustion (56.61 % in heating season, 42.47 % in non-heating season) and vehicle emissions (30.87 % in heating season, 25.64 % in non-heating season) being major sources. This study is crucial for understanding atmospheric nitrogen cycles and estimating nitrogen deposition, and provides practical insights for controlling WSON pollution in northwestern inland cities with prominent seasonal pollution characteristics.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102586"},"PeriodicalIF":3.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138248","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":"Characterization of airborne microplastics and exposure assessment in the Mahshahr special economic zone, Northern Persian Gulf","authors":"Faezeh Jahedi ,&nbsp;Neamatollah Jaafarzadeh Haghighi Fard ,&nbsp;Morteza Abdullatif Khafaie ,&nbsp;Saeed Hesam ,&nbsp;Reza Dehbandi ,&nbsp;Neda Kaydi","doi":"10.1016/j.apr.2025.102585","DOIUrl":"10.1016/j.apr.2025.102585","url":null,"abstract":"<div><div>Atmospheric microplastics (MPs), due to their diminutive size and potential health impacts, have become one of the biggest environmental and health challenges facing humanity. These particles can be easily inhaled, allowing them to bypass the body's initial respiratory defenses and enter the lung alveoli. Once lodged in the alveoli, these particles can cause various negative health effects, potentially leading to respiratory issues and other systemic health problems. This study marks the first quantification of atmospheric microplastics' spatial and temporal distribution in Bandar Mahshahr, Khuzestan, Iran. Measurements were conducted over twelve periods of 24-h sampling across two months of the year at three different sites: residential, high-traffic, and industrial areas. The concentration of MPs in the indoor and outdoor air varied across the three sampling sites: it ranged from 0.16 to 1.11 particles/m³, with mean values of 0.47 ± 0.06, 0.78 ± 0.07, and 0.85 ± 0.09 particles/m³ for residential, high-traffic, and industrial areas, respectively. Industrial areas had the highest MP levels, followed by high-traffic and residential sites. Indoor air also contained significant MP concentrations. Regarding their color, and shape, the majority of MPs were identified as black-gray fibers (69.2–81.6 %) with sizes mostly below 500 μm, though larger particles (&gt;1000 μm) were also present. Moreover, Raman spectroscopic analysis revealed that the most prevalent types of plastics were polyethylene (PE), polystyrene (PS), polypropylene (PP), and nylon. The abundance of microplastics in present study can be attributed to the primary production of plastics by petrochemical industries located in the area. Our results can be attributed to the primary production of plastics by petrochemical industries located in the area. The inhalation risk assessment showed a significant disparity in MP inhalation exposure across different age groups, with newborns and infants facing the highest (0.44 MP/kg body weight/day, followed by infants at 0.23 MP/kg body weight/day, and adults at 0.07 MP/kg body weight/day). This study contributes to a better understanding of MP behavior in the atmosphere and emphasizes the need for further research to assess the potential health risks associated with MP exposure.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102585"},"PeriodicalIF":3.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169490","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":"Research on the path of atmospheric pollutants and greenhouse gas cooperative control in megacities - A case study of Chengdu","authors":"Zihang Zhou ,&nbsp;Chengwei Lu ,&nbsp;Ye Deng ,&nbsp;Qinwen Tan ,&nbsp;Xia Jiang ,&nbsp;Bin Zhao ,&nbsp;Fei Fang ,&nbsp;Hefan Liu ,&nbsp;Danlin Song ,&nbsp;Xiaoling Zhou ,&nbsp;Xuan Liu ,&nbsp;Xin Zhang ,&nbsp;Yukun Li","doi":"10.1016/j.apr.2025.102587","DOIUrl":"10.1016/j.apr.2025.102587","url":null,"abstract":"<div><div>Cooperative control of pollution and carbon is essential for building a beautiful China and achieving the carbon peak. The pollution and carbon emission inventories used in existing cooperative control research are usually prepared based on different data, which may cause great uncertainty in the proposed cooperative control measures. In this research, focusing on achieving the air quality standard and carbon peak (hereinafter referred to as dual goals) and taking Chengdu as a case study, an integrated pollution and carbon emission inventory was built based on a unified source emission framework structure; and a pollution and carbon coupling analysis method of economic development-energy consumption-atmospheric pollutant emissions at the urban scale was established combined with the LEAP-Chengdu localization model; in addition, the path of atmospheric pollutant and greenhouse gas cooperative control were proposed based on the improvement effect of PM_2.5 and O₃ concentrations. The results show that the main sources of pollution and carbon emissions in Chengdu are transportation, stationary combustion and industrial process, and transportation contributes 86.8 % of the total NO_x emissions. Under the carbon peak scenario, Chengdu's greenhouse gas emissions are expected to reach a peak in 2028. New energy alternatives for transportation will become the main driving force. Based on the carbon peak scenario, cooperative control scenarios with more stringent measures may achieve air quality improvement goals. To achieve the dual goals in 2030, all existing process technology and end-of-pipe emission control measures for atmospheric pollutant emission reduction need to be applied.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 9","pages":"Article 102587"},"PeriodicalIF":3.9,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169491","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}