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Sensitivity analysis of project level MOVES running emission rates for light and heavy duty vehicles

Journal of Traffic and Transportation Engineering(English Edition) 2014年第2期1卷 81-96页

作者： Zhuo Yao Heng Wei Harikishan Peragu Hao Liu Zhixia Li ART-Engines Transportation Research Laboratory College of Engineering and Applied Science University of Cincinnati Traffic Operations and Safety (TOPS) Laboratory College of Engineering University of Wisconsin-Madison

In order to understand how the uncertainties in the output can be apportioned to different sources of uncertainties in its inputs, it is critical to investigate the sensitivity of MOVES model. The MOVES model sensitivity for regional level has been well studied. However, the uncertainty analysis for project level running emissions has not been well understood. In this research, the MOVES model project level sensitivity tests on running emissions were conducted thru the analysis of vehicle specific power （VSP）, scaled tractive power （STP）, and MOVES emission rates versus speed curves. This study tested the speed, acceleration, and grade-three most critical variables for vehicle specific power for light duty vehicles and scaled tractive power for heavy duty vehicles. For the testing of STP, four regulatory classes of heavy duty vehicles including light heavy duty （LHD）, medium heavy duty （MHD）, heavy heavy duty （HHD） and bus were selected. MOVES project running emission rates were also tested for CO, PM2.5, NOx, and VOC versus the operating speeds. A Latin Hypercube （LH） sampling based on method for estimation of the ＂Sobal＂ sensitivity indices shows that the speed is the most critical variable among the three inputs for both VSP and STP. Acceleration and grades show lower response to the main effects and sensitivity indices. MOVES emission rates versus speeds curves for light duty vehicles show that highest emission occurs at lower speed range. No significant differences on emission rates among the regulatory classes of heavy duty vehicles are identified.

关键词： MOVES model sensitivity analysis project level emission rates

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Wind tunnel experiments on dust emissions from different landform types

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Journal of Arid Land 2018年第4期10卷 548-560页

作者： WU Wei YAN Ping WANG Yong DONG Miao MENG Xiaonan JI Xinran Faculty of Geographical Science Beijing Normal University State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University

The measurement and assessment of dust emissions from different landforms are important to understand the atmospheric loading of PM10 （particulate matter ≤10 μm aerodynamic diameter） and to assess natural sources of dust; however, the methodology and technique for determining the dust still present significant research challenges. In the past, specialized field observation and field wind tunnel studies have been used to understand the dust emission. A series of wind tunnel tests were carried out to identify natural sources of dust and measure the magnitudes of dust emissions from different landforms. The method used in this study allowed the measurement of the PM10 emission rate using a laboratory based environmental boundary layer wind tunnel. Results indicated that PM10 emissions demonstrated strong temporal variation and were primarily driven by aerodynamic entrainment. Sand dunes, playa, and alluvial fans had the largest dust emission rates （0.8-5.4 mg/（me.s）） while sandy gravel, Gobi desert and abandoned lands had the lowest emission rates （0.003-0.126 mg/（m2.s））. Dust emissions were heavily dependent on the surface conditions, especially the availability of loose surface dust. High dust emissions were a result of the availability of dust- particle materials for entrainment while low dust emissions were a result of surface crusts and gravel cover. Soil surface property （surface crusts and gravel cover） plays an important role in controlling the availability of dust-sized particles for entrainment. The dust emission rate depended not only on the surface conditions but also on the friction velocity. The emission rate of PM10 varies as a power function of the friction velocity. Although dynamic abrasion processes have a strong influence on the amount of dust entrainment, aerodynamic entrainment may provide an important mechanism for dust emissions. Large volumes of dust entrained by aerodynamic entrainment cannot only occur at low shear velocity without saltation,

关键词： emission rates PMIO fugitive dust landforms wind tunnel dust dynamics

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维普期刊数据库

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Seasonal variation of secondary organic aerosol in PM2.5 in rural Guangzhou,Southern China

Seasonal variation of secondary organic aerosol in PM2.5 in ...

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第十五届海峡两岸气胶技术研讨会

作者：袁琪张颖仪赖森潮 School of Environment and Energy South China University of Technology

Secondary organic aerosols(SOA) are important organic constituents in *** better understand the atmospheric abundances,seasonal variations,influencing factors of SOA in Pearl River Delta region,a one-year campaign was conducted in rural Guangzhou to collect fine particulate matter(PM) samples from March 2012 to February *** SOA tracers in PM have been analyzed by gas chromatography-mass *** and Monoterpene SOA tracers were significantly higher in summer and autumn but much lower in winter and spring,showing the influence of temperature on emission ***,higher levels of atmospheric oxidants(NOx and ozone) could lead to an enhancement of monoterpene SOA concentrations in autumn and ***,toluene and naphthalene SOA tracers showed higher levels in autumn and *** episodic periods with high SOA loadings were investigated and the influence of the factors such as temperature,air pollutants and regional sources on SOA formation was discussed.

关键词： Secondary organic aerosols Pearl River Delta region emission rates Biomass burning

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