The effect of multiple factors on water-soluble inorganic ions in diesel particulate matter emissions

被引:2
|
作者
Fu, Mengqi [1 ,2 ]
Jin, Taosheng [2 ,5 ]
Qu, Liang [2 ]
Liu, Shuangxi [3 ]
Lu, Kaibo [2 ]
Tao, Youzhen [4 ]
Zhao, Shuai [2 ]
Li, Zhenguo [3 ]
Li, Penghui [1 ]
Liu, Juan [1 ,6 ]
机构
[1] Tianjin Univ Technol, Sch Environm Sci & Safety Engn, Tianjin 300384, Peoples R China
[2] Nankai Univ, Coll Environm Sci & Engn, Tianjin Key Lab Urban Transport Emiss Res, State Environm Protect Key Lab Urban Ambient Air, Tianjin 300350, Peoples R China
[3] China Automot Technol & Res Ctr Co Ltd, Natl Engn Lab Mobile Source Emiss Control Technol, Tianjin 300300, Peoples R China
[4] Nankai Univ, Coll Chem, Tianjin 300350, Peoples R China
[5] Nankai Univ, Tianjin 300350, Peoples R China
[6] Tianjin Univ Technol, Tianjin 300384, Peoples R China
关键词
Test cycle; Fuel; After-treatment; Water-soluble inorganic ions; Statistical analysis; ENGINE PERFORMANCE; EXHAUST PLUME; NON-ROAD; COMPONENTS; PM;
D O I
10.1016/j.jhazmat.2023.132236
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The water-soluble inorganic ions (WSII) in diesel particulate matter (DPM) have a significant impact on ambient air quality and human health. In this study, the 12 groups of bench tests were conducted to analyze the emission characteristics of two diesel engines, taking into account the influence of engine parameters, test cycle, fuel types, and after-treatment measures. Compared to conventional diesel, a blend of diesel with 5 % biodiesel resulted in a reduction of the WSII emission factors by 23.7-48.0 %. The emission factors of WSII decreased by 8.4 % after installing selective catalytic reduction (SCR). Dummy variable regression analysis was used to analyze the relationship between WSII and influencing factors. The emission factors of Na+, K+, and Ca2+ were mostly affected by the engine, potentially due to the use of coolants and lubricants containing metal oxides in the engine. The emission factors of NO3- were mainly affected by the test cycle. Techniques for order preference by similarity to ideal solution (TOPSIS) were used to analyze the priority of emission reduction technologies. The results indicated that SCR, biodiesel, and low-sulfur diesel could effectively reduce WSII. This study aims to explore the influence of multiple factors on WSII, providing valuable insights for future research on WSII in DPM.
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页数:8
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