scholarly journals Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing–Tianjin–Hebei Region, China

2019 ◽  
Vol 16 (24) ◽  
pp. 4973 ◽  
Author(s):  
Beibei Zhang ◽  
Sheng Wu ◽  
Shifen Cheng ◽  
Feng Lu ◽  
Peng Peng
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Socioeconomic Factors ◽  
Heavy Duty ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Heavy Duty Diesel ◽  
Urbanization Rate ◽  
Diesel Trucks ◽  
Bth Region

Heavy-duty diesel trucks (HDDTs) contribute significantly to NOX and particulate matter (PM) pollution. Although existing studies have emphasized that HDDTs play a dominant role in vehicular pollution, the spatial distribution pattern of HDDT emissions and their related socioeconomic factors are unclear. To fill this research gap, this study investigates the spatial distribution pattern and spatial autocorrelation characteristics of NOX, PM, and SO2 emissions from HDDTs in 200 districts and counties of the Beijing–Tianjin–Hebei (BTH) region. We used the spatial lag model to calculate the significances and directions of the pollutants from HDDTs and their related socioeconomic factors, namely, per capita GDP, population density, urbanization rate, and proportions of secondary and tertiary industries. Then, the geographical detector technique was applied to quantify the strengths of the significant socioeconomic factors of HDDT emissions. The results show that (1) NOX, PM, and SO2 pollutants emitted by HDDTs in the BTH region have spatial heterogeneity, i.e., low in the north and high in the east and south. (2) The pollutants from HDDTs in the BTH region have significant spatial autocorrelation characteristics. The spatial dependence effect was obvious; for every 1% increase in the HDDT emissions in the surrounding districts and counties, the local HDDT emissions increased by 0.39%. (3) Related factors analysis showed that the proportion of tertiary industries had a significant negative correlation, whereas the proportion of secondary industries and urbanization rate had significant positive correlations with HDDT emissions. Population density and per capita GDP did not pass the significance test. (4) The order of effect intensities of the significant socioeconomic factors was proportion of tertiary industry > proportion of secondary industry > urbanization rate. This study guides scientific decision making for pollution control of HDDTs in the BTH region.

scholarly journals Vehicular emissions in China in 2006 and 2010

2014 ◽  
Vol 14 (4) ◽  
pp. 4905-4956 ◽  
Author(s):  
N. Chao ◽  
G. Tang ◽  
Y. Wang ◽  
H. Wang ◽  
J. Huang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Oil Quality ◽  
River Delta ◽  
Nox Emission ◽  
Vehicular Emissions ◽  
Heavy Duty ◽  
Coal Consumption ◽  
Emission Standard ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

Abstract. Vehicular emissions are one of the most important sources of pollution in China, and they can increase the ambient concentrations of air pollutants and degrade the air quality. Using data released by the National Bureau of Statistics, vehicular emissions in China in 2006 and 2010 were calculated at a high spatial resolution, by taking the emission standards into consideration. The results show that China's vehicular emissions of CO, NOx, VOCs, NH3, PM2.5, PM10, black carbon (BC), and organic carbon (OC) were 30113.9, 4593.7, 6838.0, 20.9, 400.2, 430.5, 285.6, and 105.1 Gg, respectively, in 2006 and 34175.2, 5167.5, 7029.4, 74.0, 386.4, 417.1, 270.9, and 106.2 Gg, respectively, in 2010. CO, VOCs, and NH3 emissions were mainly from motorcycles and light-duty gasoline vehicles, whereas NOx, PM2.5, PM10, and BC emissions were mainly from rural vehicles and heavy-duty diesel trucks. OC emissions were mainly from motorcycles and heavy-duty diesel trucks. Euro 0 and Euro I vehicles were the primary contributors to all of the pollutant emissions except NH3, which was mainly from Euro III and Euro IV vehicles. The spatial distribution of vehicular emissions in China in 2006 and 2010 were developed at a high resolution of 0.25° × 0.25°, by using the road traffic density to characterize the busyness of a road. This method could overcome the problem of getting traffic flow information and make the spatial allocation more closed to the actual road emissions. The results showed that vehicular emissions presented significant regional spatial distribution, and emissions in the eastern and southern parts of China were much higher than those in western and northern China in both years. The North China Plain, Yangtze River Delta, and Pearl River Delta regions jointly accounted for nearly half of the emissions. NH3 emissions increased greatly in big cities from 2006 to 2010. Emissions of CO, NOx, and VOCs could increase 52%, 9%, and 68%, if the emission standard and oil quality remained in the Euro I stage, so the policies on vehicular emissions implemented in China were demonstrated to be effective. Nevertheless, greater efforts are needed to improve the oil quality so that the new emission standard can implement timely and catch the international level quickly, especially the sulfur level because NOx emission is very sensitive to it. By comparing with coal consumption and NO2 column density observed by SCIA satellite, the increase of NOx emission in China from 2006 to 2010 was mainly caused by coal consumption.

Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks

2021 ◽  
Vol 293 ◽  
pp. 112915
Author(s):  
Shifen Cheng ◽  
Feng Lu ◽  
Peng Peng ◽  
Ji Zheng
Keyword(s):  
Scenario Analysis ◽  
Emission Characteristics ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
And Control ◽  
Diesel Trucks

In-Use Performance and Durability of Particle Filters on Heavy-Duty Diesel Trucks

2018 ◽  
Author(s):  
Chelsea V. Preble ◽  
Troy E. Cados ◽  
Robert A. Harley ◽  
Thomas W. Kirchstetter
Keyword(s):  
Particle Filters ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

On-road emission measurements of reactive nitrogen compounds from heavy-duty diesel trucks in China

2020 ◽  
Vol 262 ◽  
pp. 114280 ◽  
Author(s):  
Liqiang He ◽  
Shaojun Zhang ◽  
Jingnan Hu ◽  
Zhenhua Li ◽  
Xuan Zheng ◽  
...  
Keyword(s):  
Reactive Nitrogen ◽  
Nitrogen Compounds ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
Road Emission

Emissions Characteristics for Heavy-Duty Diesel Trucks Under Different Loads Based on Vehicle-Specific Power

2017 ◽  
Vol 2627 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Shuanghong Zhang ◽  
Lei Yu ◽  
Guohua Song
Keyword(s):  
Carbon Dioxide ◽  
Travel Speed ◽  
Specific Power ◽  
Oxides Of Nitrogen ◽  
Heavy Duty ◽  
Operating Modes ◽  
Vehicle Loads ◽  
Heavy Duty Diesel ◽  
Diesel Trucks ◽  
The Impact

Both operating modes and emissions factors for heavy-duty diesel (HDD) trucks were analyzed under different loads to understand the effect of vehicle loads on emissions. Second-by-second speed data for different loads for HDD trucks were collected first. Then a method for calculating the vehicle-specific power (VSP) values and an emissions model for heavy-duty vehicles by using the VSP value were developed to evaluate the effect of different vehicle loads. The VSP distributions and emissions characteristics for fully loaded and unloaded trucks were analyzed and compared. The results illustrate that the fully loaded vehicles spent more time driving in steady modes and the time percentage of VSP values in the bin of 0 kW/ton for fully loaded trucks was lower than the percentage for unloaded trucks. However, the time percentage at the positive VSP value was significantly higher than the percentage for the unloaded trucks. The emissions factors of fully loaded trucks were significantly higher than those of unloaded trucks. Emissions factors were affected the most at speed intervals of 20 to 40 km/h, with emissions factors for carbon dioxide, carbon monoxide (CO), oxides of nitrogen (NOx), hydrocarbon, and particulate matter (PM) at 20.4%, 23.5%, 29.0%, 11.7%, and 9.4% higher, respectively, than those levels for unloaded vehicles. With an increase of travel speed, the impact of the load on emissions weakened. Vehicle loads had the greatest effect on emissions of NOx, followed by emissions of CO. PM emissions were the least affected by vehicle loads. The impact of vehicle loads on emissions was affected by different acceleration behaviors under different loads.

Effects of Environmental Parameters on Real-World NOx Emissions and Fuel Consumption for Heavy-Duty Diesel Trucks Using an OBD Approach

2018 ◽  
Author(s):  
Hua Zhou ◽  
Hongwei Zhao ◽  
Qian Feng ◽  
Zenghui Yin ◽  
JIngyuan Li ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Real World ◽  
Environmental Parameters ◽  
Nox Emissions ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

Correction to Verifying Emission Reductions from Heavy-Duty Diesel Trucks Operating on Southern California Freeways

2014 ◽  
Vol 48 (15) ◽  
pp. 8933-8933 ◽  
Author(s):  
Kathleen H. Kozawa ◽  
Seong Suk Park ◽  
Steven L. Mara ◽  
Jorn D. Herner
Keyword(s):  
Southern California ◽  
Heavy Duty ◽  
Emission Reductions ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

Simultaneous Determination of Carbonyls and NO2in Exhausts of Heavy-Duty Diesel Trucks and Transit Buses by HPLC following 2,4-Dinitrophenylhydrazine Cartridge Collection

2004 ◽  
Vol 38 (22) ◽  
pp. 5968-5976 ◽  
Author(s):  
Shida Tang ◽  
Lisa Graham ◽  
Ling Shen ◽  
Xianliang Zhou ◽  
Thomas Lanni
Keyword(s):  
Simultaneous Determination ◽  
Heavy Duty ◽  
Transit Buses ◽  
Heavy Duty Diesel ◽  
Diesel Trucks

Measuring particulate matter emissions during parked active diesel particulate filter regeneration of heavy-duty diesel trucks

2014 ◽  
Vol 73 ◽  
pp. 48-62 ◽  
Author(s):  
David C. Quiros ◽  
Seungju Yoon ◽  
Harry A. Dwyer ◽  
John F. Collins ◽  
Yifang Zhu ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Diesel Particulate Filter ◽  
Particulate Filter ◽  
Heavy Duty ◽  
Diesel Particulate ◽  
Filter Regeneration ◽  
Particulate Matter Emissions ◽  
Heavy Duty Diesel ◽  
Diesel Trucks
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