Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2695-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-2695-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Mar 2025
Research article |
| 03 Mar 2025
| 03 Mar 2025
Emissions of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) from different cumulative-mileage diesel vehicles at various ambient temperatures
Shuwen Guo
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Xuan Zheng
CORRESPONDING AUTHOR
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Lewei Zeng
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Liqiang He
State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Xian Wu
State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Yifei Dai
Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China
Zihao Huang
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Ting Chen
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
Shupei Xiao
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, China
Yan You
National Observation and Research Station of Coastal Ecological Environments in Macao, Macao Environmental Research Institute, Macau University of Science and Technology, Macao SAR 999078, China
Sheng Xiang
State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
Shaojun Zhang
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
Jingkun Jiang
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
Ye Wu
School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China
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Jing Duan, Ru-Jin Huang, Yifang Gu, Chunshui Lin, Haobin Zhong, Wei Xu, Quan Liu, Yan You, Jurgita Ovadnevaite, Darius Ceburnis, Thorsten Hoffmann, and Colin O'Dowd
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Xiaomeng Wu, Daoyuan Yang, Ruoxi Wu, Jiajun Gu, Yifan Wen, Shaojun Zhang, Rui Wu, Renjie Wang, Honglei Xu, K. Max Zhang, Ye Wu, and Jiming Hao
Atmos. Chem. Phys., 22, 1939–1950, https://doi.org/10.5194/acp-22-1939-2022, https://doi.org/10.5194/acp-22-1939-2022, 2022
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Runlong Cai, Chao Yan, Dongsen Yang, Rujing Yin, Yiqun Lu, Chenjuan Deng, Yueyun Fu, Jiaxin Ruan, Xiaoxiao Li, Jenni Kontkanen, Qiang Zhang, Juha Kangasluoma, Yan Ma, Jiming Hao, Douglas R. Worsnop, Federico Bianchi, Pauli Paasonen, Veli-Matti Kerminen, Yongchun Liu, Lin Wang, Jun Zheng, Markku Kulmala, and Jingkun Jiang
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Based on long-term measurements, we discovered that the collision of H2SO4–amine clusters is the governing mechanism that initializes fast new particle formation in the polluted atmospheric environment of urban Beijing. The mechanism and the governing factors for H2SO4–amine nucleation in the polluted atmosphere are quantitatively investigated in this study.
Runlong Cai, Chenxi Li, Xu-Cheng He, Chenjuan Deng, Yiqun Lu, Rujing Yin, Chao Yan, Lin Wang, Jingkun Jiang, Markku Kulmala, and Juha Kangasluoma
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Growth rate determines the survival probability of atmospheric new particles and hence their impacts. We clarify the impacts of coagulation on the values retrieved by the appearance time method, which is widely used for growth rate evaluation. A new formula with coagulation correction is proposed based on derivation and tested using both models and atmospheric data. We show that the sub-3 nm particle growth rate in polluted environments may be overestimated without the coagulation correction.
Jing Cai, Biwu Chu, Lei Yao, Chao Yan, Liine M. Heikkinen, Feixue Zheng, Chang Li, Xiaolong Fan, Shaojun Zhang, Daoyuan Yang, Yonghong Wang, Tom V. Kokkonen, Tommy Chan, Ying Zhou, Lubna Dada, Yongchun Liu, Hong He, Pauli Paasonen, Joni T. Kujansuu, Tuukka Petäjä, Claudia Mohr, Juha Kangasluoma, Federico Bianchi, Yele Sun, Philip L. Croteau, Douglas R. Worsnop, Veli-Matti Kerminen, Wei Du, Markku Kulmala, and Kaspar R. Daellenbach
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By applying both OA PMF and size PMF at the same urban measurement site in Beijing, similar particle source types, including vehicular emissions, cooking emissions and secondary formation-related sources, were resolved by both frameworks and agreed well. It is also found that in the absence of new particle formation, vehicular and cooking emissions dominate the particle number concentration, while secondary particulate matter governed PM2.5 mass during spring and summer in Beijing.
Lubna Dada, Ilona Ylivinkka, Rima Baalbaki, Chang Li, Yishuo Guo, Chao Yan, Lei Yao, Nina Sarnela, Tuija Jokinen, Kaspar R. Daellenbach, Rujing Yin, Chenjuan Deng, Biwu Chu, Tuomo Nieminen, Yonghong Wang, Zhuohui Lin, Roseline C. Thakur, Jenni Kontkanen, Dominik Stolzenburg, Mikko Sipilä, Tareq Hussein, Pauli Paasonen, Federico Bianchi, Imre Salma, Tamás Weidinger, Michael Pikridas, Jean Sciare, Jingkun Jiang, Yongchun Liu, Tuukka Petäjä, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 20, 11747–11766, https://doi.org/10.5194/acp-20-11747-2020, https://doi.org/10.5194/acp-20-11747-2020, 2020
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We rely on sulfuric acid measurements in four contrasting environments, Hyytiälä, Finland; Agia Marina, Cyprus; Budapest, Hungary; and Beijing, China, representing semi-pristine boreal forest, rural environment in the Mediterranean area, urban environment, and heavily polluted megacity, respectively, in order to define the sources and sinks of sulfuric acid in these environments and to derive a new sulfuric acid proxy to be utilized in locations and during periods when it is not measured.
Jenni Kontkanen, Chenjuan Deng, Yueyun Fu, Lubna Dada, Ying Zhou, Jing Cai, Kaspar R. Daellenbach, Simo Hakala, Tom V. Kokkonen, Zhuohui Lin, Yongchun Liu, Yonghong Wang, Chao Yan, Tuukka Petäjä, Jingkun Jiang, Markku Kulmala, and Pauli Paasonen
Atmos. Chem. Phys., 20, 11329–11348, https://doi.org/10.5194/acp-20-11329-2020, https://doi.org/10.5194/acp-20-11329-2020, 2020
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To estimate the impacts of atmospheric aerosol particles on air quality, knowledge of size distributions of particles emitted from anthropogenic sources is needed. We introduce a new method for determining size-resolved particle number emissions from measured particle size distributions. We apply our method to data measured in Beijing, China. We find that particle number emissions at our site are dominated by emissions of particles smaller than 30 nm, originating mainly from traffic.
Cited articles
Alam, M. S., Zeraati-Rezaei, S., Liang, Z., Stark, C., Xu, H., MacKenzie, A. R., and Harrison, R. M.: Mapping and quantifying isomer sets of hydrocarbons (≥ C12) in diesel exhaust, lubricating oil and diesel fuel samples using GC × GC-ToF-MS, Atmos. Meas. Tech., 11, 3047–3058, https://doi.org/10.5194/amt-11-3047-2018, 2018.
Aosaf, M. R., Wang, Y., and Du, K.: Comparison of the emission factors of air pollutants from gasoline, CNG, LPG and diesel fueled vehicles at idle speed, Environ. Pollut., 305, 119296, https://doi.org/10.1016/j.envpol.2022.119296, 2022.
Apte, J. S., Brauer, M., Cohen, A. J., Ezzati, M., and Pope, C. A. I.: Ambient PM2.5 reduces global and regional life expectancy, Environ. Sci. Tech. Let., 5, 546–551, https://doi.org/10.1021/acs.estlett.8b00360, 2018.
Azmi, S. and Sharma, M.: Global PM2.5 and secondary organic aerosols (SOA) levels with sectorial contribution to anthropogenic and biogenic SOA formation, Chemosphere, 336, 139195, https://doi.org/10.1016/j.chemosphere.2023.139195, 2023.
Cai, H. and Xie, S.: Temporal and spatial variation in recent vehicular emission inventories in China based on dynamic emission factors, J. Air Waste. Manage., 63, 310–326, https://doi.org/10.1080/10962247.2012.755138, 2013.
Chacon-Madrid, H. J. and Donahue, N. M.: Fragmentation vs. functionalization: chemical aging and organic aerosol formation, Atmos. Chem. Phys., 11, 10553–10563, https://doi.org/10.5194/acp-11-10553-2011, 2011.
Chang, X., Zhao, B., Zheng, H., Wang, S., Cai, S., Guo, F., Gui, P., Huang, G., Wu, D., Han, L., Xing, J., Man, H., Hu, R., Liang, C., Xu, Q., Qiu, X., Ding, D., Liu, K., Han, R., Robinson, A. L., and Donahue, N. M.: Full-volatility emission framework corrects missing and underestimated secondary organic aerosol sources, One Earth, 5, 403–412, https://doi.org/10.1016/j.oneear.2022.03.015, 2022.
Cheng, Y., He, K. B., Duan, F. K., Zheng, M., Ma, Y. L., Tan, J. H., and Du, Z. Y.: Improved measurement of carbonaceous aerosol: evaluation of the sampling artifacts and inter-comparison of the thermal-optical analysis methods, Atmos. Chem. Phys., 10, 8533–8548, https://doi.org/10.5194/acp-10-8533-2010, 2010.
Dardiotis, C., Martini, G., Marotta, A., and Manfredi, U.: Low-temperature cold-start gaseous emissions of late technology passenger cars, Appl. Energ., 111, 468–478, https://doi.org/10.1016/j.apenergy.2013.04.093, 2013.
Drozd, G. T., Weber, R. J., and Goldstein, A. H.: Highly resolved composition during diesel evaporation with modeled ozone and secondary aerosol formation: insights into pollutant formation from evaporative intermediate volatility organic compound sources, Environ. Sci. Technol., 55, 5742–5751, https://doi.org/10.1021/acs.est.0c08832, 2021.
Guan, T., Xue, T., Liu, Y., Zheng, Y., Fan, S., He, K., and Zhang, Q.: Differential susceptibility in ambient particle–related risk of first-ever stroke: findings from a national case-crossover study, Am. J. Epidemiol., 187, 1001–1009, https://doi.org/10.1093/aje/kwy007, 2018.
He, X., Wang, Q., Huang, X. H. H., Huang, D. D., Zhou, M., Qiao, L., Zhu, S., Ma, Y., Wang, H., Li, L., Huang, C., Xu, W., Worsnop, D. R., Goldstein, A. H., and Yu, J. Z.: Hourly measurements of organic molecular markers in urban Shanghai, China: Observation of enhanced formation of secondary organic aerosol during particulate matter episodic periods, Atmos. Environ., 240, 117807, https://doi.org/10.1016/j.atmosenv.2020.117807, 2020.
He, X., Zheng, X., Zhang, S., Wang, X., Chen, T., Zhang, X., Huang, G., Cao, Y., He, L., Cao, X., Cheng, Y., Wang, S., and Wu, Y.: Comprehensive characterization of particulate intermediate-volatility and semi-volatile organic compounds (I/SVOCs) from heavy-duty diesel vehicles using two-dimensional gas chromatography time-of-flight mass spectrometry, Atmos. Chem. Phys., 22, 13935–13947, https://doi.org/10.5194/acp-22-13935-2022, 2022a.
He, X., Zheng, X., You, Y., Zhang, S., Zhao, B., Wang, X., Huang, G., Chen, T., Cao, Y., He, L., Chang, X., Wang, S., and Wu, Y.: Comprehensive chemical characterization of gaseous I/SVOC emissions from heavy-duty diesel vehicles using two-dimensional gas chromatography time-of-flight mass spectrometry, Environ. Pollut., 305, 119284, https://doi.org/10.1016/j.envpol.2022.119284, 2022b.
He, X., Zheng, X., Guo, S., Zeng, L., Chen, T., Yang, B., Xiao, S., Wang, Q., Li, Z., You, Y., Zhang, S., and Wu, Y.: Automated compound speciation, cluster analysis, and quantification of organic vapors and aerosols using comprehensive two-dimensional gas chromatography and mass spectrometry, Atmos. Chem. Phys., 24, 10655–10666, https://doi.org/10.5194/acp-24-10655-2024, 2024.
Ho, K.: Thermodynamic formulation of a viscoplastic constitutive model capturing unusual loading rate sensitivity, Int. J. Eng. Sci., 100, 162–170, https://doi.org/10.1016/j.ijengsci.2015.12.003, 2016.
Huang, C., Lou, D., Hu, Z., Feng, Q., Chen, Y., Chen, C., Tan, P., and Yao, D.: A PEMS study of the emissions of gaseous pollutants and ultrafine particles from gasoline- and diesel-fueled vehicles, Atmos. Environ., 77, 703–710, https://doi.org/10.1016/j.atmosenv.2013.05.059, 2013.
Huang, D. D., Hu, Q., He, X., Huang, R.-J., Ding, X., Ma, Y., Feng, X., Jing, S., Li, Y., Lu, J., Gao, Y., Chang, Y., Shi, X., Qian, C., Yan, C., Lou, S., Wang, H., and Huang, C.: Obscured contribution of oxygenated intermediate-volatility organic compounds to secondary organic aerosol formation from gasoline vehicle emissions, Environ. Sci. Technol., 58, 10652–10663, https://doi.org/10.1021/acs.est.3c08536, 2024.
Huang, L., Liu, H., Yarwood, G., Wilson, G., Tao, J., Han, Z., Ji, D., Wang, Y., and Li, L.: Modeling of secondary organic aerosols (SOA) based on two commonly used air quality models in China: Consistent S/IVOCs contribution but large differences in SOA aging, Sci. Total Environ., 903, 166162, https://doi.org/10.1016/j.scitotenv.2023.166162, 2023.
Huang, R.-J., Zhang, Y., Bozzetti, C., Ho, K.-F., Cao, J.-J., Han, Y., Daellenbach, K. R., Slowik, J. G., Platt, S. M., Canonaco, F., Zotter, P., Wolf, R., Pieber, S. M., Bruns, E. A., Crippa, M., Ciarelli, G., Piazzalunga, A., Schwikowski, M., Abbaszade, G., Schnelle-Kreis, J., Zimmermann, R., An, Z., Szidat, S., Baltensperger, U., Haddad, I. E., and Prévôt, A. S. H.: High secondary aerosol contribution to particulate pollution during haze events in China, Nature, 514, 218–222, https://doi.org/10.1038/nature13774, 2014.
Jathar, S. H., Miracolo, M. A., Tkacik, D. S., Donahue, N. M., Adams, P. J., and Robinson, A. L.: Secondary organic aerosol formation from photo-oxidation of unburned fuel: experimental results and implications for aerosol formation from combustion emissions, Environ. Sci. Technol., 47, 12886–12893, https://doi.org/10.1021/es403445q, 2013.
Kirchstetter, T. W., Corrigan, C. E., and Novakov, T.: Laboratory and field investigation of the adsorption of gaseous organic compounds onto quartz filters, Atmos. Environ., 35, 1663–1671, https://doi.org/10.1016/S1352-2310(00)00448-9, 2001.
Li, X., Yang, Z., Fu, P., Yu, J., Lang, Y., Liu, D., Ono, K., and Kawamura, K.: High abundances of dicarboxylic acids, oxocarboxylic acids, and α-dicarbonyls in fine aerosols (PM2.5) in Chengdu, China during wintertime haze pollution, Environ. Sci. Pollut. R., 22, 12902–12918, https://doi.org/10.1007/s11356-015-4548-x, 2015.
Liu, Y., Li, Y., Yuan, Z., Wang, H., Sha, Q., Lou, S., Liu, Y., Hao, Y., Duan, L., Ye, P., Zheng, J., Yuan, B., and Shao, M.: Identification of two main origins of intermediate-volatility organic compound emissions from vehicles in China through two-phase simultaneous characterization, Environ. Pollut., 281, 117020, https://doi.org/10.1016/j.envpol.2021.117020, 2021.
Lu, Q., Zhao, Y., and Robinson, A. L.: Comprehensive organic emission profiles for gasoline, diesel, and gas-turbine engines including intermediate and semi-volatile organic compound emissions, Atmos. Chem. Phys., 18, 17637–17654, https://doi.org/10.5194/acp-18-17637-2018, 2018.
Lv, L., Ge, Y., Ji, Z., Tan, J., Wang, X., Hao, L., Wang, Z., Zhang, M., Wang, C., and Liu, H.: Regulated emission characteristics of in-use LNG and diesel semi-trailer towing vehicles under real driving conditions using PEMS, J. Environ. Sci., 88, 155–164, https://doi.org/10.1016/j.jes.2019.07.020, 2020.
May, A. F., May, A. A., Presto, A. A., Hennigan, C. J., Nguyen, N. T., Gordon, T. D., and Robinson, A. L.: Gas-particle partitioning of primary organic aerosol emissions: (2) diesel vehicles, Environ. Sci. Technol., 47, 8288–8296, https://doi.org/10.1021/es400782j, 2013.
Morino, Y., Li, Y., Fujitani, Y., Sato, K., Inomata, S., Tanabe, K., Jathar, S. H., Kondo, Y., Nakayama, T., Fushimi, A., Takami, A., and Kobayashi, S.: Secondary organic aerosol formation from gasoline and diesel vehicle exhaust under light and dark conditions, Environ. Sci. Atmos., 2, 46–64, https://doi.org/10.1039/D1EA00045D, 2022.
Presto, A. A., Miracolo, M. A., Kroll, J. H., Worsnop, D. R., Robinson, A. L., and Donahue, N. M.: Intermediate-volatility organic compounds: a potential source of ambient oxidized organic aerosol, Environ. Sci. Technol., 43, 4744–4749, https://doi.org/10.1021/es803219q, 2009.
Qi, L., Liu, H., Shen, X., Fu, M., Huang, F., Man, H., Deng, F., Shaikh, A. A., Wang, X., Dong, R., Song, C., and He, K.: Intermediate-volatility organic compound emissions from nonroad construction machinery under different operation modes, Environ. Sci. Technol., 53, 13832–13840, https://doi.org/10.1021/acs.est.9b01316, 2019.
Qi, L., Zhao, J., Li, Q., Su, S., Lai, Y., Deng, F., Man, H., Wang, X., Shen, X., Lin, Y., Ding, Y., and Liu, H.: Primary organic gas emissions from gasoline vehicles in China: Factors, composition and trends, Environ. Pollut., 290, 117984, https://doi.org/10.1016/j.envpol.2021.117984, 2021.
Sommers, J. M., Stroud, C. A., Adam, M. G., O'Brien, J., Brook, J. R., Hayden, K., Lee, A. K. Y., Li, K., Liggio, J., Mihele, C., Mittermeier, R. L., Stevens, R. G., Wolde, M., Zuend, A., and Hayes, P. L.: Evaluating SOA formation from different sources of semi- and intermediate-volatility organic compounds from the Athabasca oil sands, Environ. Sci. Atmos., 2, 469–490, https://doi.org/10.1039/D1EA00053E, 2022.
Sun, P., Nie, W., Wang, T., Chi, X., Huang, X., Xu, Z., Zhu, C., Wang, L., Qi, X., Zhang, Q., and Ding, A.: Impact of air transport and secondary formation on haze pollution in the Yangtze River Delta: In situ online observations in Shanghai and Nanjing, Atmos. Environ., 225, 117350, https://doi.org/10.1016/j.atmosenv.2020.117350, 2020.
Tang, R., Lu, Q., Guo, S., Wang, H., Song, K., Yu, Y., Tan, R., Liu, K., Shen, R., Chen, S., Zeng, L., Jorga, S. D., Zhang, Z., Zhang, W., Shuai, S., and Robinson, A. L.: Measurement report: Distinct emissions and volatility distribution of intermediate-volatility organic compounds from on-road Chinese gasoline vehicles: implication of high secondary organic aerosol formation potential, Atmos. Chem. Phys., 21, 2569–2583, https://doi.org/10.5194/acp-21-2569-2021, 2021.
Tkacik, D. S., Presto, A. A., Donahue, N. M., and Robinson, A. L.: Secondary organic aerosol formation from intermediate-volatility organic compounds: cyclic, linear, and branched alkanes, Environ. Sci. Technol., 46, 8773–8781, https://doi.org/10.1021/es301112c, 2012.
Tolouei, R. and Titheridge, H.: Vehicle mass as a determinant of fuel consumption and secondary safety performance, Transport. Res. D-Tr. E, 14, 385–399, https://doi.org/10.1016/j.trd.2009.01.005, 2009.
Wang, Q., Huo, J., Chen, H., Duan, Y., Fu, Q., Sun, Y., Zhang, K., Huang, L., Wang, Y., Tan, J., Li, L., Wang, L., Li, D., George, C., Mellouki, A., and Chen, J.: Traffic, marine ships and nucleation as the main sources of ultrafine particles in suburban Shanghai, China, Environ. Sci. Atmos., 3, 1805–1819, https://doi.org/10.1039/D3EA00096F, 2023.
Wang, Y., Ning, M., Su, Q., Wang, L., Jiang, S., Feng, Y., Wu, W., Tang, Q., Hou, S., Bian, J., Huang, L., Lu, G., Manomaiphiboon, K., Kaynak, B., Zhang, K., Chen, H., and Li, L.: Designing regional joint prevention and control schemes of PM2.5 based on source apportionment of chemical transport model: A case study of a heavy pollution episode, J. Clean. Prod., 455, 142313, https://doi.org/10.1016/j.jclepro.2024.142313, 2024.
Wu, L., Wang, X., Lu, S., Shao, M., and Ling, Z.: Emission inventory of semi-volatile and intermediate-volatility organic compounds and their effects on secondary organic aerosol over the Pearl River Delta region, Atmos. Chem. Phys., 19, 8141–8161, https://doi.org/10.5194/acp-19-8141-2019, 2019.
Xue, T., Han, Y., Fan, Y., Zheng, Y., Geng, G., Zhang, Q., and Zhu, T.: Association between a rapid reduction in air particle pollution and improved lung function in adults, Annals ATS, 18, 247–256, https://doi.org/10.1513/AnnalsATS.202003-246OC, 2021.
Yao, Z., Wu, B., Wu, Y., Cao, X., and Jiang, X.: Comparison of NOx emissions from China III and China IV in-use diesel trucks based on on-road measurements, Atmos. Environ., 123, 1–8, https://doi.org/10.1016/j.atmosenv.2015.10.056, 2015.
Zeng, L., Xiao, S., Dai, Y., Chen, T., Wang, H., Yang, P., Huang, G., Yan, M., You, Y., Zheng, X., Zhang, S., and Wu, Y.: Characterization of on-road nitrogen oxides and black carbon emissions from high emitters of heavy-duty diesel vehicles in China, J. Hazard. Mater., 477, 135225, https://doi.org/10.1016/j.jhazmat.2024.135225, 2024.
Zhang, J., Wang, H., Yan, L., Ding, W., Liu, R., Wang, H., and Wang, S.: Analysis of chemical composition characteristics and source of PM2.5 under different pollution degrees in autumn and winter of Liaocheng, China, Atmosphere, 12, 1180, https://doi.org/10.3390/atmos12091180, 2021.
Zhang, X., He, X., Cao, Y., Chen, T., Zheng, X., Zhang, S., and Wu, Y.: Comprehensive characterization of speciated volatile organic compounds (VOCs), gas-phase and particle-phase intermediate- and semi-volatile volatility organic compounds (I/S-VOCs) from Chinese diesel trucks, Sci. Total Environ., 912, 168950, https://doi.org/10.1016/j.scitotenv.2023.168950, 2024a.
Zhang, Z., Man, H., Zhao, J., Huang, W., Huang, C., Jing, S., Luo, Z., Zhao, X., Chen, D., He, K., and Liu, H.: VOC and IVOC emission features and inventory of motorcycles in China, J. Hazard. Mater., 469, 133928, https://doi.org/10.1016/j.jhazmat.2024.133928, 2024b.
Zhao, J., Qi, L., Lv, Z., Wang, X., Deng, F., Zhang, Z., Luo, Z., Bie, P., He, K., and Liu, H.: An updated comprehensive IVOC emission inventory for mobile sources in China, Sci. Total Environ., 851, 158312, https://doi.org/10.1016/j.scitotenv.2022.158312, 2022.
Zhao, Y., Hennigan, C. J., May, A. A., Tkacik, D. S., de Gouw, J. A., Gilman, J. B., Kuster, W. C., Borbon, A., and Robinson, A. L.: Intermediate-volatility organic compounds: a large source of secondary organic aerosol, Environ. Sci. Technol., 48, 13743–13750, https://doi.org/10.1021/es5035188, 2014.
Zhao, Y., Nguyen, N. T., Presto, A. A., Hennigan, C. J., May, A. A., and Robinson, A. L.: Intermediate volatility organic compound emissions from on-road diesel vehicles: chemical composition, emission factors, and estimated secondary organic aerosol production, Environ. Sci. Technol., 49, 11516–11526, https://doi.org/10.1021/acs.est.5b02841, 2015.
Zhao, Y., Nguyen, N. T., Presto, A. A., Hennigan, C. J., May, A. A., and Robinson, A. L.: Intermediate volatility organic compound emissions from on-road gasoline vehicles and small off-road gasoline engines, Environ. Sci. Technol., 50, 4554–4563, https://doi.org/10.1021/acs.est.5b06247, 2016.
Short summary
We considered two potential influencing factors of heavy-duty diesel vehicle emissions that are rarely mentioned in the literature: cumulative mileage and ambient temperatures. The results suggest that prolonged use of heavy-duty diesel vehicles and low ambient temperatures leads to reduced engine combustion efficiency, which in turn increases tailpipe emissions significantly.
We considered two potential influencing factors of heavy-duty diesel vehicle emissions that are...
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