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Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau
X. Li1; D. Lopes1; K. M. Mok1; A. I. Miranda2; K. V. Yuen1; K. I. Hoi1
2019-03-22
Source PublicationEnvironmental Monitoring and Assessment
ISSN0167-6369
Volume191Issue:4
Abstract

With rapid economic growth, road transport is contributing substantial adverse effects on urban air quality, especially in densely populated cities with high growth rate of GDP per capita, such as Macau. A high spatial–temporal resolution road traffic emission inventory is essential for assessment of environmental stresses imposed by local vehicle movements. To improve the accuracy and temporal–spatial resolution for emission inventory, through a bottom-up approach, link-based road traffic emission inventory with a spatial resolution of 0.1 km ∗ 0.1 km and a temporal resolution of 1 h for Macau in 2014 was developed by using a traffic model (VISUM), a road traffic emission model (TREM), the Geographic Information System (GIS), and the most up-to-date information available. Results show that the total annual emissions of CO, CO2, PM, NOX, and VOC in 2014 were 14,770, 413,099, 69, 1151, and 2945 tons, respectively. The estimated fuel consumption agreed well also with the statistical fuel consumption in Macau. Meanwhile, analysis of 3 scenarios on changes of road traffic emissions due to the operation of a light railway transit (LRT) system, variation on share of diesel, electric, and gasoline within the vehicle fleet, and replacement of vehicles with ones of Euro 5 and Euro 6 emission standards was carried out. This study provides a solid framework for developing high spatial–temporal resolution emission inventories for other densely populated cities of small area.

KeywordEmission Reduction Scenarios Macau Sar Road Traffic Model Road Transport Emissions Emission Inventory High Resolution
DOI10.1007/s10661-019-7364-9
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000462151700005
PublisherSPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
Scopus ID2-s2.0-85063333491
Fulltext Access
FWCI0.84615344
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
Affiliation1.Department of Civil & Environmental Engineering,Faculty of Science and Technology,University of Macau,China
2.Department of Environment and Planning & CESAM,University of Aveiro,Aveiro,Portugal
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
X. Li,D. Lopes,K. M. Mok,et al. Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau[J]. Environmental Monitoring and Assessment,2019,191(4).
APA X. Li,D. Lopes,K. M. Mok,A. I. Miranda,K. V. Yuen,&K. I. Hoi.(2019).Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau.Environmental Monitoring and Assessment,191(4).
MLA X. Li,et al."Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau".Environmental Monitoring and Assessment 191.4(2019).
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