On-road remote sensing measurements and fuel-based motor vehicle emission inventory in Hangzhou, China

被引:71
作者
Guo, Hui [1 ]
Zhang, Qingyu [1 ]
Shi, Yao [1 ]
Wang, Dahui [1 ]
机构
[1] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310027, Peoples R China
关键词
remote sensing; emission factor; fuel-based emission inventory; IVE model;
D O I
10.1016/j.atmosenv.2006.11.045
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Motor vehicles are one of the largest sources of air pollutants worldwide. Despite their importance, motor vehicle emissions are inadequately understood and quantified, esp. in developing countries. In this study, the real-world emissions of carbon monoxide (CO), hydrocarbons (HC) and nitrogen oxide (NO) were measured using an on-road remote sensing system at five sites in Hangzhou, China in 2004 and 2005. Average emission factors of CO, HC and NOx for petrol vehicles of different model year, technology class and vehicle type were calculated in grams of pollutant per unit of fuel use (gl(-1)) from approximately 32,260 petrol vehicles. Because the availability of data used in traditional on-road mobile source estimation methodologies is limited in China, fuel-based approach was implemented to estimate motor vehicle emissions using fuel sales as a measure of vehicle activity, and exhaust emissions factors from remote sensing measurements. The fuel-based exhaust emission inventories were also compared with the results from the recent international vehicle emission (IVE) model. Results show that petrol vehicle fleet in Hangzhou has significantly high CO emissions, relatively high HC and low NOx with the average emission factors of 193.07 +/- 15.63, 9.51 +/- 2.40 and 5.53 +/- 0.48 gl(-1), respectively. For year 2005 petrol vehicles exhaust emissions contributed with 182,013 +/- 16,936, 9107 +/- 2255 and 5050 +/- 480 metric ton yr(-1) of CO, HC and NOx respectively. The inventories are 45.5% higher, 6.6% higher and 53.7% lower for CO, HC and NOx respectively, than the estimates using IVE travel-based model. In addition, a number of insights about the emission distributions and formation mechanisms have been obtained from an in-depth analysis of these results. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3095 / 3107
页数:13
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