| DOI: | 10.1016/j.atmosenv.2015.08.035
|
| Scopus记录号: | 2-s2.0-84940368216
|
| 论文题名: | Temperature dependence of source specific volatility basis sets for motor vehicle exhaust |
| 作者: | Roy A; , Choi Y
|
| 刊名: | Atmospheric Environment
|
| ISSN: | 0168-2563
|
| EISSN: | 1573-515X
|
| 出版年: | 2015
|
| 卷: | 119 | | 起始页码: | 258
|
| 结束页码: | 261
|
| 语种: | 英语
|
| 英文关键词: | Statistical model
; Temperature
; Volatility basis sets
|
| Scopus关键词: | Amphibious vehicles
; C (programming language)
; Regression analysis
; Temperature
; Temperature distribution
; Vaporization
; Vehicles
; Volatile organic compounds
; Basis sets
; Diesel vehicle exhaust
; Gas-particle partitioning
; Heats of vaporization
; Motor vehicle emissions
; Statistical modeling
; Temperature dependence
; Volatility distribution
; Gas emissions
; volatile agent
; volatile organic compound
; automobile
; emission inventory
; environmental modeling
; exhaust emission
; parameterization
; regression analysis
; statistical analysis
; vaporization
; volatile element
; volatilization
; aerosol
; Article
; calculation
; carbon footprint
; carbon partitioning
; distribution parameters
; exhaust gas
; fractionation
; gas
; heat
; motor vehicle
; particle size
; priority journal
; statistical model
; temperature dependence
; vaporization
; volatilization
|
| Scopus学科分类: | Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
|
| 英文摘要: | Recent work on emissions testing has focused on developing source specific volatility distributions which could be used to improve emissions inventories. One problem about these volatility profiles is that they are evaluated only at one temperature which is usually 298 K. This study uses a simple statistical model to evaluate the temperature dependence of the source-resolved volatility basis set, considering gasoline and diesel vehicle exhaust. The steps involved (a) fitting a distribution to the emissions data (b) evaluating the goodness of fit using a statistical test (c) updating the volatility bins using the Clausius-Clayperon equation; calculating the heats of vaporization of each volatility class using a regression model (d) assessing how the volatility of different VOC classes-Extremely Low Volatile, Low Volatile, Semi-Volatile, Intermediate Volatile and Volatile Organic Compounds - are affected by temperature. The results indicated that there could be significant changes in gas-particle partitioning of these emissions. For diesel exhaust at 298 K, the fractions are 5.4 × 10-4 (ELVOC), 0.074 (LVOC), 0.76 (SVOC), 0.17 (IVOC) and 10-5 (VOC) respectively. Looking at a window of ∓20 K, the partitioning for 278 K is 3 × 10-3 (ELVOC), 0.26 (LVOC), 0.67 (SVOC), 0.07 (IVOC) with no VOC fraction; while at 318 K it is 1.5 × 10-7 (ELVOC), 9 × 10-3 (LVOC), 0.64 (SVOC), 0.35 (IVOC) and 2 × 10-5 (VOC); demonstrating a significant change with temperature. The parameterizations developed in this work could be used to improve motor vehicle emissions inventory models such as MOVES. © 2015 Elsevier Ltd. |
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/81544
|
| Appears in Collections: | 气候变化事实与影响
|
|
There are no files associated with this item.
|
|
作者单位: | Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, United States
|
| Recommended Citation: | |
Roy A,, Choi Y. Temperature dependence of source specific volatility basis sets for motor vehicle exhaust[J]. Atmospheric Environment,2015-01-01,119
|
|
|