Corrigendum to ’Measurement of real-world roadway emission rates through a fitted dispersion model’ Atmospheric Pollution Research 12 (2021) 75–88

Abstract. On-road vehicle emissions are a major contributor to elevated air pollution levels in populous metropolitan areas. We developed a link-level emissions inventory of vehicular pollutants, called EMBEV-Link, based on multiple datasets extracted from the extensive road traffic monitoring network that covers the entire municipality of Beijing, China (16 400 km2). We employed the EMBEV-Link model under various traffic scenarios to capture the significant variability in vehicle emissions, temporally and spatially, due to the real-world traffic dynamics and the traffic restrictions implemented by the local government. The results revealed high carbon monoxide (CO) and total hydrocarbon (THC) emissions in the urban area (i.e., within the Fifth Ring Road) and during rush hours, both associated with the passenger vehicle traffic. By contrast, considerable fractions of nitrogen oxides (NOX), fine particulate matter (PM2.5) and black carbon (BC) emissions were present beyond the urban area, as heavy-duty trucks (HDTs) were not allowed to drive through the urban area during daytime. The EMBEV-Link model indicates that non-local HDTs could for 29 % and 38 % of estimated total on-road emissions of NOX and PM2.5, which were ignored in previous conventional emission inventories. We further combined the EMBEV-Link emission inventory and a computationally efficient dispersion model, RapidAir®, to simulate vehicular NOX concentrations at fine resolutions (10 m × 10 m in the entire municipality and 1 m × 1 m in the hotspots). The simulated results indicated a close agreement with ground observations and captured sharp concentration gradients from line sources to ambient areas. During the nighttime when the HDT traffic restrictions are lifted, HDTs could be responsible for approximately 10 μg m−3 of NOX in the urban area. The uncertainties of conventional top-down allocation methods, which were widely used to enhance the spatial resolution of vehicle emissions, are also discussed by comparison with the EMBEV-Link emission inventory.

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Use of Source Term and Air Dispersion Modeling in Planning Demolition of Highly Alpha-Contaminated Buildings

ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management, Parts A and B ◽

10.1115/icem2011-59254 ◽

2011 ◽

Author(s):

James G. Droppo ◽

Bruce A. Napier ◽

Jeremy P. Rishel ◽

Richard W. Bloom

Keyword(s):

Source Term ◽

Dispersion Model ◽

Dispersion Modeling ◽

Nuclear Materials ◽

Emission Rates ◽

The Public ◽

Air Dispersion Modeling ◽

Air Dispersion ◽

Air Dispersion Model ◽

War Production

The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.

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Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

Geospatial health ◽

10.4081/gh.2014.42 ◽

2014 ◽

Vol 8 (2) ◽

pp. 527

Author(s):

Andreja Kukec ◽

Marija Z. Boznar ◽

Primoz Mlakar ◽

Bostjan Grasic ◽

Andrej Herakovic ◽

...

Keyword(s):

Atmospheric Pollution ◽

Complex Terrain ◽

Methodological Approach ◽

Pollution Research

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Using Satellite Data to Determine Empirical Relationships between Volcanic Ash Source Parameters

Atmosphere ◽

10.3390/atmos11040342 ◽

2020 ◽

Vol 11 (4) ◽

pp. 342 ◽

Cited By ~ 3

Author(s):

Meelis J. Zidikheri ◽

Chris Lucas

Keyword(s):

Case Studies ◽

Volcanic Ash ◽

Dispersion Model ◽

Source Parameters ◽

Difficult Problem ◽

Emission Rates ◽

Empirical Relationships ◽

Mass Load ◽

Satellite Retrievals ◽

Mass Loads

Poor knowledge of dispersion model source parameters related to quantities such as the total fine ash mass emission rate, its effective spatial distribution, and particle size distribution makes the provision of quantitative forecasts of volcanic ash a difficult problem. To ameliorate this problem, we make use of satellite-retrieved mass load data from 14 eruption case studies to estimate fine ash mass emission rates and other source parameters by an inverse modelling procedure, which requires multidimensional sampling of several thousand trial simulations with different values of source parameters. We then estimate the dependence of these optimal source parameters on eruption height. We show that using these empirical relationships in a data assimilation procedure leads to substantial improvements to the forecasts of ash mass loads, with the use of empirical relationships between parameters and eruption height having the added advantage of computational efficiency because of dimensional reduction. In addition, the use of empirical relationships, which encode information in satellite retrievals from past case studies, implies that quantitative forecasts can still be issued even when satellite retrievals of mass load are not available in real time due to cloud cover or other reasons, making it especially useful for operations in the tropics where ice and water clouds are ubiquitous.

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The use of balloons in atmospheric pollution research

Quarterly Journal of the Royal Meteorological Society ◽

10.1002/qj.49708436222 ◽

1958 ◽

Vol 84 (362) ◽

pp. 471-471

Author(s):

D. H. Lucas ◽

G. Spurr ◽

F. Williams

Keyword(s):

Atmospheric Pollution ◽

Pollution Research

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Real-World Energy Use and Emission Rates for Idling Long-Haul Trucks and

Journal of the Air & Waste Management Association ◽

10.1080/10473289.2009.10465786 ◽

2009 ◽

Vol 59 (7) ◽

pp. 1-31

Author(s):

H. Christopher Frey Ph.D. ◽

Po-Yao Kuo

Keyword(s):

Real World ◽

Energy Use ◽

Emission Rates ◽

World Energy

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Variability in Measured Real-World Operational Energy Use and Emission Rates of a Plug-In Hybrid Electric Vehicle

Energies ◽

10.3390/en13051140 ◽

2020 ◽

Vol 13 (5) ◽

pp. 1140 ◽

Cited By ~ 2

Author(s):

H. Christopher Frey ◽

Xiaohui Zheng ◽

Jiangchuan Hu

Keyword(s):

Real World ◽

Hybrid Electric Vehicle ◽

Energy Use ◽

Average Energy ◽

Specific Power ◽

Emission Measurement ◽

Emission Rates ◽

Wide Range ◽

Hybrid Electric ◽

Cold Starts

Compared to comparably sized conventional light duty gasoline vehicles (CLDGVs), plug-in hybrid electric vehicles (PHEVs) may offer benefits of improved energy economy, reduced emissions, and the flexibility to use electricity as an energy source. PHEVs operate in either charge depleting (CD) or charge sustaining (CS) mode; the engine has the ability to turn on and off; and the engine can have multiple cold starts. A method is demonstrated for quantifying the real-world activity, energy use, and emissions of PHEVs, taking into account these operational characteristics and differences in electricity generation resource mix. A 2013 Toyota Prius plug-in was measured using a portable emission measurement system. Vehicle specific power (VSP) based modal average energy use and emission rates are inferred to assess trends in energy use and emissions with respect to engine load and for comparisons of engine on versus engine off, and cold start versus hot stabilized running. The results show that, compared to CLDGVs, the PHEV operating in CD mode has improved energy efficiency and lower CO2, CO, HC, NOx, and PM2.5 emission rates for a wide range of power generation fuel mixes. However, PHEV energy use and emission rates are highly variable, with periods of relatively high on-road emission rates related to cold starts.

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