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Journal articles on the topic 'Mobile emissions'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Yu, Tai Yi, I. Cheng Chang, Mei Yin Hwa, and Li Teh Lu. "Estimation of Air Pollutant Emissions from Mobile Sources with Three Emission Factors Models." Advanced Materials Research 550-553 (July 2012): 2378–81. http://dx.doi.org/10.4028/www.scientific.net/amr.550-553.2378.

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Vehicle emissions from mobile sources are major contributors to air pollution and varied with vehicle types, vehicle styles, traveled miles, temperature, oil types and the methods of operation and management. This study performs three emission factor models, Mobile-Taiwan 2, Mobile6.2 and EFDB to calculate emission factor of mobile sources from year 1986 to 2011. The emissions of primary air pollutants, MIRs and CO2emitted from mobile sources were calculated. The contribution ratios of varied vehicle types for different air pollutants would be compared and analyzed. Estimated emissions from mo

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Zavala, M., S. C. Herndon, E. C. Wood, et al. "Evaluation of mobile emissions contributions to Mexico City's emissions inventory using on-road and cross-road emission measurements and ambient data." Atmospheric Chemistry and Physics Discussions 9, no. 2 (2009): 6363–95. http://dx.doi.org/10.5194/acpd-9-6363-2009.

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Abstract. Mobile emissions represent a significant fraction of the total anthropogenic emissions burden in the Mexico City Metropolitan Area (MCMA) and, therefore, it is crucial to use top-down techniques informed by on-road exhaust measurements to evaluate and improve traditional bottom-up official emissions inventory (EI) for the city. We present the measurements of on-road fleet-average emission factors obtained using the Aerodyne mobile laboratory in the MCMA in March 2006 as part of the MILAGRO/MCMA-2006 field campaign. A comparison of our on-road emission measurements with those obtained

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Zavala, M., S. C. Herndon, E. C. Wood, et al. "Evaluation of mobile emissions contributions to Mexico City's emissions inventory using on-road and cross-road emission measurements and ambient data." Atmospheric Chemistry and Physics 9, no. 17 (2009): 6305–17. http://dx.doi.org/10.5194/acp-9-6305-2009.

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Abstract. Mobile emissions represent a significant fraction of the total anthropogenic emissions burden in the Mexico City Metropolitan Area (MCMA) and, therefore, it is crucial to use top-down techniques informed by on-road exhaust measurements to evaluate and improve traditional bottom-up official emissions inventory (EI) for the city. We present the measurements of on-road fleet-average emission factors obtained using the Aerodyne mobile laboratory in the MCMA in March 2006 as part of the MILAGRO/MCMA-2006 field campaign. A comparison of our on-road emission measurements with those obtained

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El Mowafi, Samir A., and Ahmed Gamal Atalla. "Strategies for controlling mobile emissions in Cairo." Management of Environmental Quality: An International Journal 16, no. 5 (2005): 548–59. http://dx.doi.org/10.1108/14777830510614385.

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PurposeThe objective of this paper is to evaluate the potential sustainable transportation strategies for Cairo in terms of their impact on emissions over the next ten years. The considered strategies include using cleaner fuel, implementing inspection and maintenance programs and adopting emission standards for new vehicles.Design/methodology/approachThe strategies were evaluated in terms of the expected reductions of particulate matter (PM) and ozone precursors due to the future implementation. Emissions were estimated utilizing a mix of the relevant national and international. Accordingly,

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Zavala, M., S. C. Herndon, E. C. Wood, et al. "Comparison of emissions from on-road sources using a mobile laboratory under various driving and operational sampling modes." Atmospheric Chemistry and Physics 9, no. 1 (2009): 1–14. http://dx.doi.org/10.5194/acp-9-1-2009.

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Abstract. Mobile sources produce a significant fraction of the total anthropogenic emissions burden in large cities and have harmful effects on air quality at multiple spatial scales. Mobile emissions are intrinsically difficult to estimate due to the large number of parameters affecting the emissions variability within and across vehicles types. The MCMA-2003 Campaign in Mexico City has showed the utility of using a mobile laboratory to sample and characterize specific classes of motor vehicles to better quantify their emissions characteristics as a function of their driving cycles. The techn

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Ramirez- Gamboa, Jhonathan, Jorge Eduardo- Pachón, Oscar M. Casas- Leuro, and Sandro Faruc- González. "A new database of on-road vehicle emission factors for Colombia: A case study of Bogotá." CT&F - Ciencia, Tecnología y Futuro 9, no. 1 (2019): 73–82. http://dx.doi.org/10.29047/01225383.154.

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Mobile sources contribute directly or indirectly with most of the atmospheric emissions in Colombian cities. Quantification of mobile source emissions rely on emission factors (EF) and vehicle activity. However, EF for vehicles in the country have not evolved at the same time as fleet renovation and fuel composition changes in the last few years. In fact, estimated EF before 2010 may not reflect the reduction of sulfur content in diesel and the renovation and deterioration of passenger vehicles; therefore, emission levels may be over or under estimated. To account for these changes, we have im

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Zhu, Neng, Yunkai Cai, Hanxiao Ouyang, Zhe Xiao, and Xiaowei Xu. "Investigation of Emission Inventory for Non-Road Mobile Machinery in Shandong Province: An Analysis Grounded in Real-World Activity Levels." Sustainability 16, no. 6 (2024): 2292. http://dx.doi.org/10.3390/su16062292.

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In tandem with the advancement of urban intelligent technology, the construction of remote monitoring platforms and databases for non-road mobile machinery is gradually improving in various provinces and cities. Employing the remote monitoring platform for non-road mobile machinery enables a detailed big data analysis of the actual operational state of the machinery. This method yields precise data on the activity levels of various machinery types. Importantly, it addresses the issue of reduced accuracy in emission inventories, which often arises from the conventional practice of using standar

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Barth, Matthew, Feng An, Joseph Norbeck, and Marc Ross. "Modal Emissions Modeling: A Physical Approach." Transportation Research Record: Journal of the Transportation Research Board 1520, no. 1 (1996): 81–88. http://dx.doi.org/10.1177/0361198196152000110.

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Mobile source emission models currently used by state and federal agencies (e.g., Environmental Protection Agency's MOBILE and California Air Resources Board's EMFAC) are often inadequate for analyzing the emissions impact of various transportation control measures, intelligent transportation systems, alternative fuel vehicles, and more sophisticated inspection/maintenance programs contained in most state air quality management plans. These emission models are based on the assumption that vehicle running exhaust emissions can be represented as integrated values for a specific driving cycle, an

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Zavala, M., S. C. Herndon, E. C. Wood, et al. "Comparison of emission ratios from on-road sources using a mobile laboratory under various driving and operational sampling modes." Atmospheric Chemistry and Physics Discussions 8, no. 2 (2008): 8059–90. http://dx.doi.org/10.5194/acpd-8-8059-2008.

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Abstract. Mobile sources produce a significant fraction of the total anthropogenic emissions burden in large cities and have harmful effects on air quality at multiple spatial scales. Mobile emissions are intrinsically difficult to estimate due to the large number of parameters affecting the emissions variability within and across vehicles types. The MCMA-2003 Campaign in Mexico City has showed the utility of using a mobile laboratory to sample and characterize specific classes of motor vehicles to better quantify their emissions characteristics as a function of their driving cycles. The techn

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10

Forstmaier, Andreas, Jia Chen, Florian Dietrich, et al. "Quantification of methane emissions in Hamburg using a network of FTIR spectrometers and an inverse modeling approach." Atmospheric Chemistry and Physics 23, no. 12 (2023): 6897–922. http://dx.doi.org/10.5194/acp-23-6897-2023.

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Abstract. Methane (CH4) is a potent greenhouse gas, and anthropogenic CH4 emissions contribute significantly to global warming. In this study, the CH4 emissions of the second most populated city in Germany, Hamburg, were quantified with measurements from four solar-viewing Fourier transform infrared (FTIR) spectrometers, mobile in situ measurements, and an inversion framework. For source type attribution, an isotope ratio mass spectrometer was deployed in the city. The urban district hosts an extensive industrial and port area in the south as well as a large conglomerate of residential areas n

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11

Xing, J., J. Pleim, R. Mathur, et al. "Historical gaseous and primary aerosol emissions in the United States from 1990–2010." Atmospheric Chemistry and Physics Discussions 12, no. 11 (2012): 30327–69. http://dx.doi.org/10.5194/acpd-12-30327-2012.

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Abstract. An accurate description of emissions is crucial for model simulations to reproduce and interpret observed phenomena over extended time periods. In this study, we used an approach based on activity data to develop a consistent series of spatially resolved emissions in the United States from 1990 to 2010. The state-level anthropogenic emissions of SO2, NOx, CO, NMVOC, NH3, PM10 and PM2.5 for a total of 49 sectors were estimated based on several long-term databases containing information about activities and emission controls. Activity data for energy-related stationary sources were der

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Feng, Shaoxin, Shaoxin Feng, Junhui Yue, and Linghe Sun. "Anthropogenic VOCs Emission Inventory and Characteristics in Jiaozuo City." International Journal of Natural Resources and Environmental Studies 5, no. 3 (2025): 101–10. https://doi.org/10.62051/ijnres.v5n3.12.

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To accurately understand the atmospheric VOCs emissions in Jiaozuo City and strengthen air pollution control, this study established a 2019 anthropogenic atmospheric VOCs emission inventory using a combined "top-down" and "bottom-up" methodology. The results show that the total VOCs emissions reached 22,574 tons, with solvent use sources (40.9%), industrial process sources (25.9%), and mobile sources (18.3%) constituting the major contributors. Specifically, surface coating operations, petrochemical and chemical industries, and passenger vehicles emerged as the primary contributors to solvent

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13

Niemeier, D. A. "Spatial Applicability of Emission Factors for Modeling Mobile Emissions." Environmental Science & Technology 36, no. 4 (2002): 736–41. http://dx.doi.org/10.1021/es0109747.

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Xing, J., J. Pleim, R. Mathur, et al. "Historical gaseous and primary aerosol emissions in the United States from 1990 to 2010." Atmospheric Chemistry and Physics 13, no. 15 (2013): 7531–49. http://dx.doi.org/10.5194/acp-13-7531-2013.

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Abstract. An accurate description of emissions is crucial for model simulations to reproduce and interpret observed phenomena over extended time periods. In this study, we used an approach based on activity data to develop a consistent series of spatially resolved emissions in the United States from 1990 to 2010. The state-level anthropogenic emissions of SO2, NOx, CO, NMVOC (non-methane volatile organic compounds), NH3, PM10 and PM2.5 for a total of 49 sectors were estimated based on several long-term databases containing information about activities and emission controls. Activity data for e

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15

Wu, Liqing, Xuemei Wang, Sihua Lu, Min Shao, and Zhenhao Ling. "Emission inventory of semi-volatile and intermediate-volatility organic compounds and their effects on secondary organic aerosol over the Pearl River Delta region." Atmospheric Chemistry and Physics 19, no. 12 (2019): 8141–61. http://dx.doi.org/10.5194/acp-19-8141-2019.

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Abstract. Semi-volatile and intermediate-volatility organic compounds (S–IVOCs) are considered critical precursors of secondary organic aerosol (SOA), which is an important component of fine particulate matter (PM2.5). However, knowledge of the contributions of S–IVOCs to SOA is still lacking in the Pearl River Delta (PRD) region, southern China. Therefore, in this study, an emission inventory of S–IVOCs in the PRD region was developed for the first time for the year 2010. The S–IVOC emissions were calculated based on a parameterization method involving the emission factors of POA (primary org

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16

Thornhill, D. A., A. E. Williams, T. B. Onasch, et al. "Application of positive matrix factorization to on-road measurements for source apportionment of diesel- and gasoline-powered vehicle emissions in Mexico City." Atmospheric Chemistry and Physics Discussions 9, no. 6 (2009): 27571–609. http://dx.doi.org/10.5194/acpd-9-27571-2009.

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Abstract. The goal of this research is to quantify diesel- and gasoline-powered motor vehicle emissions within the Mexico City Metropolitan Area (MCMA) using on-road measurements captured by a mobile laboratory combined with positive matrix factorization (PMF) receptor modeling. During the MCMA-2006 ground-based component of the MILAGRO field campaign, the Aerodyne Mobile Laboratory (AML) measured many gaseous and particulate pollutants, including carbon dioxide, carbon monoxide (CO), nitrogen oxides (NOx), benzene, toluene, alkylated aromatics, formaldehyde, acetaldehyde, acetone, ammonia, pa

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Bachman, William, Wayne Sarasua, and Randall Guensler. "Geographic Information System Framework for Modeling Mobile-Source Emissions." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (1996): 123–32. http://dx.doi.org/10.1177/0361198196155100116.

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Because vehicle activities and the emissions associated with them can be correlated with specific points in time and space, the modeling capabilities of a geographic information system (GIS) are well suited to the modeling of mobile-source emissions. A GIS-based modeling approach can provide emissions estimates for both on-network and off-network vehicle activities on a modal basis (as a function of various vehicle operating modes that significantly affect vehicle emission rates). An entire metropolitan region can be modeled on a zone, link, and point basis. Vehicle subfleet composition can be

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Baek, Bok H., Carlie Coats, Siqi Ma, et al. "Dynamic Meteorology-induced Emissions Coupler (MetEmis) development in the Community Multiscale Air Quality (CMAQ): CMAQ-MetEmis." Geoscientific Model Development 16, no. 16 (2023): 4659–76. http://dx.doi.org/10.5194/gmd-16-4659-2023.

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Abstract. There have been consistent efforts to improve the spatiotemporal representations of biogenic/anthropogenic emission sources for photochemical transport modeling for better accuracy of local/regional air quality forecasts. While biogenic emissions, bi-directional NH3 from fertilizer applications, and point source plume rise are dynamically coupled in the Community Multiscale Air Quality (CMAQ) “inline”, there are still known meteorology-induced emissions sectors (e.g., on-road mobile sources, residential heating, and livestock waste), with little or no accounting for the meteorologica

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19

xu, Guo. "Methodology study on voluntary emission reduction of greenhouse gases in port off road mobile machinery hybrid power transformation project." E3S Web of Conferences 237 (2021): 01007. http://dx.doi.org/10.1051/e3sconf/202123701007.

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The greenhouse gas emissions of ports mainly come from the combustion of fossil fuels produced in the loading and unloading production. With the continuous advancement of port equipment electrification, non road mobile machinery has gradually become the main source of fossil fuel emissions. On the basis of the existing voluntary emission reduction methodology, this paper puts forward the greenhouse gas voluntary emission reduction methodology of port non road mobile machinery hybrid power transformation project, and verifies the correctness of the methodology through examples. In the future, i

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Lončarević, Šimun, Petar Ilinčić, Goran Šagi, and Zoran Lulić. "Problems and Directions in Creating a National Non-Road Mobile Machinery Emission Inventory: A Critical Review." Sustainability 14, no. 6 (2022): 3471. http://dx.doi.org/10.3390/su14063471.

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Greenhouse emissions and air pollutants pose a global threat to the environment and human health. Emission inventories are a valuable tool in understanding emission sources and their overall impact on the environment. Most cities and countries do not include non-road mobile machinery (NRMM) when compiling emission inventories. Furthermore, little effort has been made to understand better the impact of this source of emissions on the environment. For these reasons, this research examines the data from the existing NRMM emission inventories and other studies concerning NRMM emissions. After care

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Davis, Zoe Y. W., Sabour Baray, Chris A. McLinden, et al. "Estimation of NO<sub><i>x</i></sub> and SO<sub>2</sub> emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NO<sub><i>x</i></sub> analyzer." Atmospheric Chemistry and Physics 19, no. 22 (2019): 13871–89. http://dx.doi.org/10.5194/acp-19-13871-2019.

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Abstract. Sarnia, Ontario, experiences pollutant emissions disproportionate to its relatively small size. The small size of the city limits traditional top-down emission estimate techniques (e.g., satellite) but a low-cost solution for emission monitoring is the mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy). Measurements were made using this technique from 21 March 2017 to 23 March 2017 along various driving routes to retrieve vertical column densities (VCDs) of NO2 and SO2 and to estimate emissions of NOx and SO2 from the Sarnia region. A novel aspect of the curren

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Murphy, Benjamin N., Darrell Sonntag, Karl M. Seltzer, et al. "Reactive organic carbon air emissions from mobile sources in the United States." Atmospheric Chemistry and Physics 23, no. 20 (2023): 13469–83. http://dx.doi.org/10.5194/acp-23-13469-2023.

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Abstract. Mobile sources are responsible for a substantial controllable portion of the reactive organic carbon (ROC) emitted to the atmosphere, especially in urban environments of the United States. We update existing methods for calculating mobile source organic particle and vapor emissions in the United States with over a decade of laboratory data that parameterize the volatility and organic aerosol (OA) potential of emissions from on-road vehicles, nonroad engines, aircraft, marine vessels, and locomotives. We find that existing emission factor information from Teflon filters combined with

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Czader, B. H., Y. Choi, X. Li, S. Alvarez, and B. Lefer. "Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas." Atmospheric Chemistry and Physics 15, no. 3 (2015): 1253–63. http://dx.doi.org/10.5194/acp-15-1253-2015.

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Abstract. Recent measurements in Houston show that HONO traffic emissions are 1.7% of NOx emissions, which is about twice the previously estimated value of 0.8% based on tunnel measurements in 2001. The 0.8% value is widely used to estimate mobile emissions of HONO for air quality modeling applications. This study applies the newly estimated HONO / NOx ratio in the WRF–SMOKE–CMAQ modeling system and estimates the impact of higher HONO traffic emissions on its mixing ratios. Since applied emission inventory resulted in overestimates of NOx mixing ratios and because HONO emissions and chemical f

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Valdes-Montenegro, Ana, Franchesca Gonzalez-Olivardia, Sarawut Thepanondh, and Cesar Pinzon-Acosta. "Estimation of on-road mobile emissions based on the vehicle technology in a high-traffic avenue in Panama City, Panama." E3S Web of Conferences 530 (2024): 01003. http://dx.doi.org/10.1051/e3sconf/202453001003.

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This study addresses the emissions from mobile sources in a busy avenue. Latest mobile emission inventories estimated pollutants based on fuel sales activities in the country. While this is an approved methodology, it does not consider the characteristics of vehicles and their emissions control systems. Applying the International Vehicle Emissions (IVE) model involves low costs, the vehicle fleet’s technology features, and the study region’s environmental parameters. The IVE model allows a better understanding of how vehicle technology impacts air quality. This study aims to generate informati

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Hagan, Rita, Emma Markey, Jerry Clancy, et al. "Non-Road Mobile Machinery Emissions and Regulations: A Review." Air 1, no. 1 (2022): 14–36. http://dx.doi.org/10.3390/air1010002.

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Non-Road Mobile Machinery (NRMM) incorporate a wide range of machinery, with or without bodywork and wheels, and are installed with a combustion engine and not intended for carrying passengers or goods on the road. These are used in many different sectors including construction, agriculture, forestry, mining, local authorities, airport and port ground operations, railways, inland waterways and within the household and gardening sector. This article presents a review of the state of knowledge with regard to non-road mobile machinery, particularly focusing on their regulation and the atmospheric

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Mainson, M., C. Ong, M. Myers, and A. Spiers. "Mobile autonomous methane monitoring stations for emission measurement." APPEA Journal 61, no. 2 (2021): 425. http://dx.doi.org/10.1071/aj20148.

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Natural gas has been forecast to continue grow up to 30% for the next 40 years and will remain as a key energy source. Alongside this projected growth, both the government and the industry have committed to reduce emission reductions. A critical focus is fugitive emissions, which are related to leaks or unintended losses of methane from sources such as hydrocarbon production, processing, transport, storage, transmission and distribution. The need for measuring and monitoring these emissions has been recognised in significant environmental inquiries related to the gas industry, such as the Nort

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Timoshek, Alexandra, Douglas Eisinger, Song Bai, and Deb Niemeier. "Mobile Source Air Toxic Emissions." Transportation Research Record: Journal of the Transportation Research Board 2158, no. 1 (2010): 77–85. http://dx.doi.org/10.3141/2158-10.

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Collet, Susan. "Mobile Source Air Toxic Emissions." Journal of the Air & Waste Management Association 66, no. 2 (2016): 97. http://dx.doi.org/10.1080/10962247.2016.1128721.

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Huang, Zhenhua, and Hongqin Fan. "Technologies for retrofitting non-road mobile machinery to reduce diesel emissions: a review and recommendation." HKIE Transactions 30, no. 3 (2023): 24–33. http://dx.doi.org/10.33430/v30n3thie-2023-0028.

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Non-road mobile machinery (NRMM) in Hong Kong emits considerable emissions and has been a major contributor of environmental regression and harm to the health of citizens. The severe problem caused by considerable NRMM diesel emissions has drawn the attention of the Hong Kong Government. However, the existing measures for reducing NRMM emission mainly target new NRMM while old in-service ones are being left largely unregulated. After a long time of use, in-service NRMM becomes inefficient through deterioration, which results in higher levels of diesel emissions, which are extremely harmful to

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Yang, X. F., H. Liu, H. Y. Man, and K. B. He. "Characterization of road freight transportation and its impact on the national emission inventory in China." Atmospheric Chemistry and Physics Discussions 14, no. 10 (2014): 15219–56. http://dx.doi.org/10.5194/acpd-14-15219-2014.

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Abstract. Mobile source emission inventories serve as critical input for atmospheric chemical transport models, which are used to simulate air quality and understand the role of mobile source emissions. The significance of mobile sources is even more important in China because the country has the largest vehicle population in the world, and that population continues to grow rapidly. Estimating emissions from diesel trucks is a critical work in mobile source emission inventories due to the importance and difficulties associated with estimating emissions from diesel trucks. Although diesel truck

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Yang, Junyue, Zhengning Xu, Zheng Xia, et al. "Locating and quantifying CH₄ sources within a wastewater treatment plant based on mobile measurements." Atmospheric Chemistry and Physics 25, no. 8 (2025): 4571–85. https://doi.org/10.5194/acp-25-4571-2025.

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Abstract. Wastewater treatment plants (WWTPs) are substantial contributors of greenhouse gas (GHG) emissions because of the high production of methane (CH4) and nitrous oxide (N2O). A typical WWTP complex contains multiple functional areas that are potential sources of GHG emissions. Accurately quantifying GHG emissions from these sources is challenging due to the inaccuracy of activity data, the ambiguity of emission sources, and the absence of monitoring standards. Locating and quantifying WWTP emission sources using a measurement-based GHG emission quantification method is crucial for evalu

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Cai, Mengyang, Huiqin Mao, Cuihong Chen, Xvpeng Wei, and Tianqi Shi. "Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems." Atmosphere 13, no. 8 (2022): 1249. http://dx.doi.org/10.3390/atmos13081249.

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The traditional least squares method for the retrieval of CO2 emissions from CO2 emission sources is affected by the nonlinear characteristics of the Gaussian plume model, which leads to the optimal estimation of CO2 emissions easily falling into local minima. In this study, ACA–IPFM (ant colony algorithm and interior point penalty function) is proposed to remedy the shortcomings of the traditional least squares method, which makes full use of the global search property of the ant colony algorithm and the local exact search capability of the interior point penalty function to make the optimal

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von der Weiden-Reinmüller, S. L., F. Drewnick, M. Crippa, et al. "Application of mobile aerosol and trace gas measurements for the investigation of megacity air pollution emissions: the Paris metropolitan area." Atmospheric Measurement Techniques Discussions 6, no. 4 (2013): 7659–708. http://dx.doi.org/10.5194/amtd-6-7659-2013.

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Abstract. For the investigation of megacity emission development and impact outside the source region mobile aerosol and trace gas measurements were carried out in the Paris metropolitan area between 1 July and 31 July 2009 (summer conditions) and 15 January and 15 February 2010 (winter conditions) in the framework of the European Union FP7 MEGAPOLI project. Two mobile laboratories, MoLa and MOSQUITA, were deployed, and here an overview of these measurements and an investigation of the applicability of such measurements for the analysis of megacity emissions are presented. Both laboratories me

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Lutfie, Mukhtar, Lawalenna Samang, Sakti A. Adisasmita, and Muhammad I. Ramli. "Experimental Study of Moving Truck Emissions on Inter-City National Road: A Case Study of Malino Main Road." Journal of Engineering 2018 (October 8, 2018): 1–8. http://dx.doi.org/10.1155/2018/7240568.

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The research aimed to determine exhaust emission and speed of the truck when moving. Measurements were made using a mobile emission analyzer that absorbed emission from truck exhaust. Data collection was done by putting mobile emission analyzer on the right side of the vehicle which absorbs 5 emissions of approximately 5 minutes. The relationship of exhaust emission and speed uses the polynomial model of the average value of exhaust emission and speed. The reliability of mobile emission analyzer uses the multiplier factor to solve the data difference between mobile emission analyzer and Bosowa

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Venigalla, Mohan, and Don Pickrell. "Implications of Transient Mode Duration for Spatially Disaggregated High-Resolution Emission Inventory Studies." Transportation Research Record: Journal of the Transportation Research Board 1587, no. 1 (1997): 63–72. http://dx.doi.org/10.3141/1587-08.

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High resolution emission inventory studies, such as urban air-shed modeling, often use spatially disaggregated emission parameters in the form of link-specific emissions. A key input variable that influences operating mode mix on highway links is the transient mode duration (TMD) in which start-related emissions occur. The TMD variable also establishes the emission rates to be embedded in emission factor models. The basic emission rates built into the MOBILE model are based on a TMD of 505 seconds, which was based on the federal test procedure (FTP). For newer vehicles, it is indicated that th

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Platt, S. M., I. El Haddad, A. A. Zardini, et al. "Secondary organic aerosol formation from gasoline vehicle emissions in a new mobile environmental reaction chamber." Atmospheric Chemistry and Physics Discussions 12, no. 10 (2012): 28343–83. http://dx.doi.org/10.5194/acpd-12-28343-2012.

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Abstract. We present a new mobile environmental reaction chamber for the simulation of the atmospheric aging of aerosols from different emissions sources without limitation from the instruments or facilities available at any single site. The chamber can be mounted on a trailer for transport to host facilities or for mobile measurements. Photochemistry is simulated using a set of 40 UV lights (total power 4 KW). Characterisation of the emission spectrum of these lights shows that atmospheric photochemistry can be accurately simulated over a range of temperatures from −7–25 °C. A photolysis rate

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Jaramillo, Mauricio, and María Eugenia Núñez. "Inventory of conventional atmospheric pollutant emissions in the Cali-Yumbo zone." Revista Facultad de Ingeniería Universidad de Antioquia, no. 30 (June 1, 2003): 38–48. http://dx.doi.org/10.17533/udea.redin.344455.

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This work presents the results of the emission inventory of criteria pollutants (VOC's, PM10, CO, NOx and SOx) from anthropogenic sources for the Cali-Yumbo urban area in Colombia in 1997. Area, point and mobile sources, were considered in the study. Four point sources, reports to environmental authorities from 108 industries in the area were analyzed. The method of emission factors was employed to relate production activity with pollutant emissions, and the MOBILE 6.0 model was applied to calculate vehicular emissions. This analysis will be useful to generate urban environmental management pr

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von der Weiden-Reinmüller, S. L., F. Drewnick, M. Crippa, et al. "Application of mobile aerosol and trace gas measurements for the investigation of megacity air pollution emissions: the Paris metropolitan area." Atmospheric Measurement Techniques 7, no. 1 (2014): 279–99. http://dx.doi.org/10.5194/amt-7-279-2014.

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Abstract. For the investigation of megacity emission development and the impact outside the source region, mobile aerosol and trace gas measurements were carried out in the Paris metropolitan area between 1 July and 31 July 2009 (summer conditions) and 15 January and 15 February 2010 (winter conditions) in the framework of the European Union FP7 MEGAPOLI project. Two mobile laboratories, MoLa and MOSQUITA, were deployed, and here an overview of these measurements and an investigation of the applicability of such measurements for the analysis of megacity emissions are presented. Both laboratori

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Kauhaniemi, M., A. Stojiljkovic, L. Pirjola, et al. "Comparison of the predictions of two road dust emission models with the measurements of a mobile van." Atmospheric Chemistry and Physics Discussions 14, no. 4 (2014): 4263–301. http://dx.doi.org/10.5194/acpd-14-4263-2014.

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Abstract. The predictions of two road dust suspension emission models were compared with the on-site mobile measurements of suspension emission factors. Such a quantitative comparison has not previously been reported in the reviewed literature. The models used were the Nordic collaboration model NORTRIP (NOn-exhaust Road TRaffic Induced Particle emissions) and the Swedish–Finnish FORE model (Forecasting Of Road dust Emissions). These models describe particulate matter generated by the wear of road surface due to traction control methods and processes that control the suspension of road dust pa

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Pirjola, L., A. Pajunoja, J. Walden, et al. "Mobile measurements of ship emissions in two harbour areas in Finland." Atmospheric Measurement Techniques Discussions 6, no. 4 (2013): 7149–84. http://dx.doi.org/10.5194/amtd-6-7149-2013.

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Abstract. Four measurement campaigns by a mobile laboratory van were performed in two different environments; inside the harbour areas in the city center of Helsinki and along the narrow shipping channel near the city of Turku, Finland, during the winter and summer conditions in 2010–2011. The characteristics of gaseous (CO, CO2, SO2, NO, NO2, NOx) and particulate (number and volume size distributions as well as PM2.5) emissions for 11 ships regularly operating on the Baltic Sea were studied to determine the emission parameters. The highest particle concentrations were 1.5 × 106 and 1.6 × 105

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Cui, Xinlei, Qi Yu, Weichun Ma, and Yan Zhang. "Emission Rate Estimation of Industrial Air Pollutant Emissions Based on Mobile Observation." Atmosphere 15, no. 8 (2024): 969. http://dx.doi.org/10.3390/atmos15080969.

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Mobile observation has been widely used in the monitoring of air pollution. However, studies on pollution sources and emission characteristics based on mobile navigational observation are rarely reported in the literature. A method for quantitative source analysis for industrial air pollutant emissions based on mobile observations is introduced in this paper. NOx pollution identified in mobile observations is used as an example of the development of the method. A dispersion modeling scheme that fine-tuned the meteorological parameters according to the actual meteorological conditions was adopt

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Czader, B. H., Y. Choi, X. Li, S. Alvarez, and B. Lefer. "Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas." Atmospheric Chemistry and Physics Discussions 14, no. 15 (2014): 21315–40. http://dx.doi.org/10.5194/acpd-14-21315-2014.

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Abstract. Recent measurements in Houston show that HONO traffic emissions are 1.7% of NOx emissions which is about twice the previously estimated value of 0.8% based on tunnel measurements in 2001. The 0.8% value is widely used to estimate mobile emissions of HONO for air quality modeling applications. This study applies the newly estimated HONO/NOx ratio in the WRF-SMOKE-CMAQ modeling system and estimates the impact of higher HONO traffic emissions on its mixing ratios. Since applied emission inventory resulted in overestimates of NOx mixing ratios and because HONO emissions and chemical form

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Atherton, Emmaline, David Risk, Chelsea Fougère, et al. "Mobile measurement of methane emissions from natural gas developments in northeastern British Columbia, Canada." Atmospheric Chemistry and Physics 17, no. 20 (2017): 12405–20. http://dx.doi.org/10.5194/acp-17-12405-2017.

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Abstract. North American leaders recently committed to reducing methane emissions from the oil and gas sector, but information on current emissions from upstream oil and gas developments in Canada are lacking. This study examined the occurrence of methane plumes in an area of unconventional natural gas development in northwestern Canada. In August to September 2015 we completed almost 8000 km of vehicle-based survey campaigns on public roads dissecting oil and gas infrastructure, such as well pads and processing facilities. We surveyed six routes 3–6 times each, which brought us past over 1600

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Lu, Quanyang, Benjamin N. Murphy, Momei Qin, et al. "Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds." Atmospheric Chemistry and Physics 20, no. 7 (2020): 4313–32. http://dx.doi.org/10.5194/acp-20-4313-2020.

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Abstract. We describe simulations using an updated version of the Community Multiscale Air Quality model version 5.3 (CMAQ v5.3) to investigate the contribution of intermediate-volatility organic compounds (IVOCs) to secondary organic aerosol (SOA) formation in southern California during the CalNex study. We first derive a model-ready parameterization for SOA formation from IVOC emissions from mobile sources. To account for SOA formation from both diesel and gasoline sources, the parameterization has six lumped precursor species that resolve both volatility and molecular structure (aromatic ve

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Pirjola, L., A. Pajunoja, J. Walden, et al. "Mobile measurements of ship emissions in two harbour areas in Finland." Atmospheric Measurement Techniques 7, no. 1 (2014): 149–61. http://dx.doi.org/10.5194/amt-7-149-2014.

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Abstract. Four measurement campaigns were performed in two different environments – inside the harbour areas in the city centre of Helsinki, and along the narrow shipping channel near the city of Turku, Finland – using a mobile laboratory van during winter and summer conditions in 2010–2011. The characteristics of gaseous (CO, CO2, SO2, NO, NO2, NOx) and particulate (number and volume size distributions as well as PM2.5) emissions for 11 ships regularly operating on the Baltic Sea were studied to determine the emission parameters. The highest particle concentrations were 1.5 × 106 and 1.6 × 10

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Mitchie, M. Roa. "Greenhouse gas emission: A case in the University of Science and Technology of Southern Philippines-Oroquieta." Journal of Biodiversity and Environmental Sciences (JBES) 25, no. 2 (2024): 8–19. https://doi.org/10.5281/zenodo.15347531.

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The COVID-19 pandemic has temporarily decreased the greenhouse gas emissions of the University of Science and Technology of Southern Philippines-Oroquieta. However, as the pandemic became manageable, face-to-face classes were reimplemented in 2022, therefore utilizing laboratories and facilities to comply with the respective course requirements of the students, which caused an increase in emissions. Using the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, this study estimates the total entity-level greenhouse gas emission of the campus for the base year 2022 under business-as-us

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Bian, Yahui, Zhijiong Huang, Jiamin Ou, et al. "Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015." Atmospheric Chemistry and Physics 19, no. 18 (2019): 11701–19. http://dx.doi.org/10.5194/acp-19-11701-2019.

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Abstract. Guangdong Province (GD), one of the most prosperous and populous regions in China, still experiences haze events and growing ozone pollution in spite of the substantial air-quality improvement in recent years. Integrated control of fine particulate matter (PM2.5) and ozone in GD calls for a systematic review of historical emissions. In this study, emission trends, spatial variations, source-contribution variations, and reduction potentials of sulfur dioxide (SO2), nitrogen oxides (NOx), PM2.5, inhalable particles (PM10), carbon monoxide (CO), ammonia (NH3), and volatile organic compo

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Santos, Maicon Basso dos, Jefferson Candido, Sofia De Souza Baulé, Yuri Mello Müller de Oliveira, and Liseane Padilha Thives. "Greenhouse gas emissions and energy consumption in asphalt plants." Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 24 (December 4, 2020): e7. http://dx.doi.org/10.5902/2236117062662.

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Hot-mix asphalt used in pavement layers is produced by asphalt plants. In Brazil, despite the fact that these industrial units produce greenhouse gases, no control or measurement protocol has yet been established. This study aims to quantify emissions in different asphalt plants, in terms of carbon dioxide equivalent (CO2eq) and energy consumption. Asphalt plants were selected according to their type (batch or drum mix); production capacity (80 to 340 t/h), and whether mobile or fixed. In each plant, emissions were quantified and the energy consumption spent on drying and heating aggregates in

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Cuba, Carmen, Roberto Cuba, Victor Arroyo, and Jose Morales. "Characterization of Air Pollution in Pre-COVID 19 Time Using the IVE Model Applied to Mobile Sources in Urban Areas." IOP Conference Series: Earth and Environmental Science 943, no. 1 (2021): 012003. http://dx.doi.org/10.1088/1755-1315/943/1/012003.

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Abstract In this article we present the design of effective control strategies (IVE Model), to predict atmospheric pollutants, greenhouse gases and toxins, from mobile sources, made up of 800 motorized vehicles, obtained from the records of the transport office of the Provincial Municipality of Ica. through an inventory of emissions from mobile sources, emission factors, activity and distribution of the vehicle fleet. The results obtained are Carbon Monoxide (CO, 23235.23 t/year), Volatile Organic Compounds (VOC: 12123.55 t / year), Nitrogen Oxides (Nox: 361.76 t/year), Evaporative Volatile Or

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Platt, S. M., I. El Haddad, A. A. Zardini, et al. "Secondary organic aerosol formation from gasoline vehicle emissions in a new mobile environmental reaction chamber." Atmospheric Chemistry and Physics 13, no. 18 (2013): 9141–58. http://dx.doi.org/10.5194/acp-13-9141-2013.

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Abstract. We present a new mobile environmental reaction chamber for the simulation of the atmospheric aging of different emission sources without limitation from the instruments or facilities available at any single site. Photochemistry is simulated using a set of 40 UV lights (total power 4 KW). Characterisation of the emission spectrum of these lights shows that atmospheric aging of emissions may be simulated over a range of temperatures (−7 to 25 °C). A photolysis rate of NO2, JNO2, of (8.0 ± 0.7) × 10−3 s−1 was determined at 25 °C. We demonstrate the utility of this new system by presenti

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