Road traffic emission inventory for air quality modelling and to evaluate the abatement strategies: A case of Ho Chi Minh City, Vietnam

Ho, Bang Quoc; Clappier, Alain

doi:10.1016/j.atmosenv.2011.03.073

Cited by 47 publications

(18 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The diurnal variation of building heat emission was determined based on survey data on hourly use of electrical appliances of Vietnamese households and commercial consumers (offices, shops, restaurants, hotels, hospitals, and schools) [Vietnam Energy Efficiency Standards and Labelling (VEESL) Program, ]. The diurnal variation of vehicle heat emission was determined based on traffic inventory data on the roads of HCM City provided by Ho ().…”

Section: Methodsmentioning

confidence: 99%

Numerical study on regional climate change due to the rapid urbanization of greater Ho Chi Minh City's metropolitan area over the past 20 years

Doan

Kusaka

2015

Intl Journal of Climatology

View full text Add to dashboard Cite

This study examines climatic impact of urbanization on the variability of the urban heat island (UHI) effect over Greater Ho Chi Minh City metropolitan area (GHCM), since the late 1980s, using the dynamical downscaling with very high‐resolution regional climate model coupled to an urban canopy model (RCM/UCM). This is the first application of RCM/UCM to a city in developing countries in Southeast Asia in assessing the impacts of the past land‐use and anthropogenic heat release during the selected three periods (ca. 1989, 1999, and 2009). The main findings are as follows: First, agreement between simulated results (for case of ca. 2009 urban) and observation demonstrates that the RCM/UCM is able to reproduce the urban climate of GHCM. Second, the evolution of spatial distribution of UHI is closely associated with urban expansion. The increase in the surface air temperature was about 0.3 °C in the pre‐existing urbanized area and about 0.6 °C in newly urbanized area in the last 20 years. Main factor of these changes is conversion of agriculture or grassland into urban structure, which results in increase in sensible heating and decrease in latent heating. In addition, in the central GHCM, the urbanization impact was estimated at 0.31 °C, while the temperature increase was observed at 0.64 °C in the last 20 years. This suggests that the urbanization may contribute about half to the increase of surface air temperature in the central GHCM.

show abstract

Section: Methodsmentioning

confidence: 99%

Numerical study on regional climate change due to the rapid urbanization of greater Ho Chi Minh City's metropolitan area over the past 20 years

Doan

Kusaka

2015

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…The aim of this study is to develop a link-based trafficrelated emission inventory of Tehran using a combination of traffic and emission rates modeling [33][34][35][36]. The Tehran traffic conditions were investigated comprehensively by the Tehran Comprehensive Transportation and Traffic Study (TCTTS) Company using modeling and measurement techniques.…”

Section: Introductionmentioning

confidence: 99%

The Relative Contributions of Mobile Sources to Air Pollutant Emissions in Tehran, Iran: an Emission Inventory Approach

Shahbazi

Reyhanian

Hosseini

et al. 2016

Emiss. Control Sci. Technol.

114

View full text Add to dashboard Cite

Tehran, a city with 8.5 million inhabitants, has suffered from rapid and unplanned urbanization in recent years resulting in substantial environmental impacts perhaps foremost of which is poor air quality. A major source of air pollution is emissions from mobile vehicles; therefore, having an accurate and comprehensive mobile source emission inventory is essential for decision-makers to develop mitigating strategies. The aim of this study is to determine the relative contributions of specific mobile sources to key air pollutants through the development of an emissions inventory for mobile sources in the city of Tehran using the International Vehicle Emissions (IVE) model. Tehran traffic data were acquired to obtain link level emission rates, using IVE emission rates. The developed emission inventory was evaluated using Tehran gasoline sales data. The results indicate that the sources of carbon monoxide (CO), volatile organic compound (VOC), nitrogen oxide (NO x ), and sulfur oxide (SO x ) emissions are mainly passenger cars. The contribution of emissions of CO, VOCs, and particulate matter (PM) from motorcycles to the total traffic emissions is more than 15, 31, and 12 %, respectively. Despite the fact that medium and heavy-duty vehicles (minibuses, buses, and trucks) only comprise 2.4 % of the Tehran fleet, they contribute more than 41, 64, and 85 % of the NO x , SO x , and PM emissions, respectively. Analyzing the distribution of the aggregated emission of pollutants shows that emissions are mostly higher in central zones due to the high traffic rate of passenger cars, taxis, motorcycles, and buses.

show abstract

“…As shown in figure 2 and table S2, our measured EFs of CH 4 for the urban vehicle fleet were also substantially higher than those derived from the COPERT and MOBILE models [17,21,[23][24][25][26][27]30], but comparable to those derived from the IVE model [28,29], which was designed for mobile source emissions of developing countries by researchers at the International Sustainable Systems Research Center and the University of California at Riverside. In contrast to other models that use average speed to represent a driving cycle, the IVE model introduces parameters such as vehicle specific power and engine size to better represent driving conditions [28,52], making it more suitable for estimating vehicle CH 4 emissions in developing countries.…”

Section: Resultsmentioning

confidence: 53%

“…However, as CH 4 is an unregulated pollutant, there are few studies concern its emissions from vehicle exhausts [21]. Emission factors (EFs) along with traffic statistics are needed to estimate traffic emissions of CH 4 [22], yet EFs of specific vehicle types are mainly derived from European or US vehicle emission databases for compiling China's CH 4 emission inventory using mobile source emission models such as the Computer Programme to Calculate Emissions from Road Transport (COPERT) [21,[23][24][25][26], MOBILE [27,28], International Vehicle Emissions (IVE) [29] and MOtor Vehicle Emission Simulator (MOVES) [30]. Due to differences in technological levels, emission control standards and driving conditions, simply borrowing EFs from developed countries will lead to significant uncertainty when estimating emissions in China [31,32].…”

Section: Introductionmentioning

confidence: 99%

Methane emissions from on-road vehicles in China: a case study in an urban tunnel

Zhang¹,

Huang²,

Luo³

et al. 2020

Environ. Res. Commun.

View full text Add to dashboard Cite

Reducing emissions of methane (CH 4 ) in developed regions and urban areas is a practical way to curb the unexpected surge in global CH 4 levels in recent decades. Traffic emissions are among the important anthropogenic CH 4 emission sources in megacities, yet CH 4 emissions from on-road vehicles are less characterized and not well addressed. Based on tunnel tests in an urban tunnel in south China, a real-world emission factor (EF) of CH 4 was measured to be 0.26±0.03 g·km −1 (mean ±95% C.I.) for on-road vehicle fleet which including gasoline vehicles, diesel vehicles, and liquefied petroleum gas vehicles, with an average CH 4 /CO 2 mass ratio of 40.6E-5 g·g −1 , and CH 4 could account for 1.3% of vehicle CO 2 -equivalent emissions. Using the measured CH 4 /CO 2 ratio and available automobile CO 2 emission estimates, traffic CH 4 emissions in 2014 could have reached 333 Gg and represented 0.6% of total anthropogenic CH 4 emissions in China, approximately four times the previous reported value of 79 Gg. Our results indicate that improving energy efficiency would have cobenefits for reducing traffic emissions of CH 4 , as observed EFs of CH 4 are positively correlated with that of CO 2 , and over 90% of traffic CH 4 emissions in China could be avoided if the traffic CH 4 /CO 2 ratio can be an order of magnitude lower as previously observed in a tunnel in Switzerland.

show abstract

Road traffic emission inventory for air quality modelling and to evaluate the abatement strategies: A case of Ho Chi Minh City, Vietnam

Cited by 47 publications

References 1 publication

Numerical study on regional climate change due to the rapid urbanization of greater Ho Chi Minh City's metropolitan area over the past 20 years

Numerical study on regional climate change due to the rapid urbanization of greater Ho Chi Minh City's metropolitan area over the past 20 years

The Relative Contributions of Mobile Sources to Air Pollutant Emissions in Tehran, Iran: an Emission Inventory Approach

Methane emissions from on-road vehicles in China: a case study in an urban tunnel

Contact Info

Product

Resources

About