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The High Temperature Condensation Particle Counter (HT-CPC) : a new instrument for a measurement of solid particulate matterRongchai, Kanchit January 2014 (has links)
No description available.
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An optimal driving behavior to minimize automobile exhaust emissionsTom, Michael, 1942- January 1966 (has links)
No description available.
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The influence of traffic flow factors on automobile exhaust emissionsBeard, Louin Lester, 1936- January 1967 (has links)
No description available.
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Steam-hydrocarbon reforming for lower polluting automotive fuelsLorton, G. A. January 1973 (has links)
No description available.
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Principal component analysis of low resolution energy spectra to identify gamma sources in moving vehicle trafficKeillor, Martin E. 12 September 2000 (has links)
A system intended to detect, classify, and track radioactive sources in moving
vehicle traffic is under development at Lawrence Livermore National Laboratory
(LLNL). This system will fuse information from a network of sensor suites to provide
real time tracking of the location of vehicles emitting gamma and/or neutron radiation.
This work examined aspects of the source terms of interest and applicable gamma
detection technologies for passive detection of emitted gamma radiation. The severe
restriction placed on the length of count due to motion of the source is presented.
Legitimate gamma sources expected in traffic are discussed. The requirement to
accurately classify and discriminate against these "nuisance" sources and cost restraints
dictate the choice of NaI(Tl) detectors for this application. The development of a
capability to automatically analyze short duration, low signal-to-noise NaI(Tl) spectra
collected from vehicles passing a large, stationary detector is reported. The analysis
must reliably discriminate between sources commonly transported in motor vehicles
and alert on the presence of sources of interest. A library of NaI(Tl) spectra for 33
gamma emitting sources was generated with MCNP4B Monte Carlo modeling. These
simulated spectra were used as parent distributions, from which multiple realizations of
short duration spectra were sampled. Principal component analysis (PCA) of this data
set yielded eigenvectors that enable the conversion of unknown spectra into principal
component space (PCS). An algorithm using least squares fitting of the positions of
library sources in PCS as basis functions, capable of identifying library nuclides in
unidentified spectra, is reported. Analysis results for experimental spectra are compared
against those achieved using simulated spectra. A valuable characteristic of this method
is its ability to identify sources despite unknown shielding geometries. The successful
identification of radionuclides and false identification rates found were excellent for the
signal levels involved. For many of the sources, identification performance against
experimental spectra was somewhat poorer than found using simulated spectra. The
results demonstrate that the PCA-based algorithm is capable of high success rates in
identifying sources in short duration, low signal-to-noise NaI(Tl) spectra. / Graduation date: 2001
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Development of an electronic sensor for engine exhaust particulate measurementsWarey, Alok Arun 28 August 2008 (has links)
Not available / text
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A study on the effectiveness of air pollution control policy on motor vehicles in Hong KongLui, Wing-man., 呂穎雯. January 2005 (has links)
published_or_final_version / Environmental Management / Master / Master of Science in Environmental Management
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On-Road Remote Sensing of Motor Vehicle Emissions: Associations between Exhaust Pollutant Levels and Vehicle Parameters for Arizona, California, Colorado, Illinois, Texas, and UtahDohanich, Francis Albert 05 1900 (has links)
On-road remote sensing has the ability to operate in real-time, and under real world conditions, making it an ideal candidate for detecting gross polluters on major freeways and thoroughfares. In this study, remote sensing was employed to detect carbon monoxide (CO), hydrocarbons (HC), and nitrogen oxide (NO). On-road remote sensing data taken from measurements performed in six states, (Arizona, California, Colorado, Illinois, Texas, and Utah) were cleaned and analyzed. Data mining and exploration were first undertaken in order to search for relationships among variables such as make, year, engine type, vehicle weight, and location. Descriptive statistics were obtained for the three pollutants of interest. The data were found to have non-normal distributions. Applied transformations were ineffective, and nonparametric tests were applied. Due to the extremely large sample size of the dataset (508,617 records), nonparametric tests resulted in "p" values that demonstrated "significance." The general linear model was selected due to its ability to handle data with non-normal distributions. The general linear model was run on each pollutant with output producing descriptive statistics, profile plots, between-subjects effects, and estimated marginal means. Due to insufficient data within certain cells, results were not obtained for gross vehicle weight and engine type. The "year" variable was not directly analyzed in the GLM because "year" was employed in a weighted least squares transformation. "Year" was found to be a source of heteroscedasticity; and therefore, the basis of a least-squares transformation. Grouped-years were analyzed using medians, and the results were displayed graphically. Based on the GLM results and descriptives, Japanese vehicles typically had the lowest CO, HC, and NO emissions, while American vehicles ranked high for the three. Illinois, ranked lowest for CO, while Texas ranked highest. Illinois and Colorado were lowest for HC emissions, while Utah and California were highest. For NO, Colorado ranked highest with Texas and Arizona, lowest.
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The effect of fuel formulation on the exhaust emissions of spark ignition enginesBell, Arthur 03 1900 (has links)
Thesis (PhD (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2006. / The research described in this dissertation examined the effects that fuel formulation can have on the regulated
exhaust emissions produced by spark ignition engines in a South African context. Typical South African engine
technology, and fuels representative of available fuels were investigated. To broaden the scope and provide
information on as many fuel parameters as possible, fuel formulations other than typical retail fuels were also
investigated. In order to gain insight into the mechanisms taking place, combustion analysis was performed on
measured cylinder pressure traces
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Divided-chamber automotive diesel engine : development and validation of a performance and emissions modelMansouri, Seyed Hossein January 1982 (has links)
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1982. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Seyed Hossein Mansouri. / Ph.D.
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