TITLE

Factors influencing the spatial extent of mobile source air pollution impacts: a meta-analysis

PUB. DATE
January 2007
SOURCE
BMC Public Health;2007, Vol. 7, p89
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
No abstract available.
ACCESSION #
43830424

 

Related Articles

  • Large high-technology firms and the spatial extension of metropolitan labour markets: Some... Felsenstein, Daniel // Urban Studies (Routledge);Jun94, Vol. 31 Issue 6, p867 

    Examines the mechanism of spatial labor market extension by large high-technology firms in Israel and the influences that delimit the spatial extent of the labor market. Determinants of spatial labor market extension; Impact of employee transport to residential mobility; Study of...

  • Inter-community variability in total particle number concentrations in the eastern Los Angeles air basin. Hudda, N.; Cheung, K.; Moore, K. F.; Sioutas, C. // Atmospheric Chemistry & Physics Discussions;2010, Vol. 10 Issue 6, p13901 

    Ultrafine Particles (UFP) can display sharp gradients in their number concentrations in urban environment due to their transient nature and rapid atmospheric processing. The ability of using air pollution data generated at a central monitoring station to assess exposure relies on our...

  • Characterizing Mobile Emissions by on-board Measurements. Puliafito, Salvador Enrique; Gantuz, Miguel Angel; Puliafito, Jos� Luis // International Journal of Applied Environmental Sciences;2010, Vol. 5 Issue 2, p297 

    This paper presents a "bottom-up" characterization of emissions from mobile sources. It focuses on gridded models that rely on data collected by on-board measuring systems. In order to handle the data and to construct the emission model, a new concept is proposed that consists in assigning...

  • Measuring the vulnerability of populations susceptible to lead contamination in the Dominican Republic: evaluating composite index construction methods. Ratick, Samuel; Osleeb, Jeffrey // GeoJournal;Apr2013, Vol. 78 Issue 2, p259 

    There are several suspected sources of lead contamination in the Dominican Republic (DR) to which populations, to a greater or lesser extent, may be exposed. These sources include: a lead battery recycling plant, a gold mine and vehicles using leaded gasoline. In this paper we create and compare...

  • Assessing the Relative Importance of Spatial Variability in Emissions Versus Landscape Properties in Fate Models for Environmental Exposure Assessment of Chemicals. Hollander, A.; Hauck, M.; Cousins, I.; Huijbregts, M.; Pistocchi, A.; Ragas, A.; Meent, D. // Environmental Modeling & Assessment;Dec2012, Vol. 17 Issue 6, p577 

    Multimedia mass balance models differ in their treatment of spatial resolution from single boxes representing an entire region to multiple interconnected boxes with varying landscape properties and emission intensities. Here, model experiments were conducted to determine the relative importance...

  • Adjoint inverse modeling of a CO emission inventory at the city scale: Santiago de Chile's case. Saide, P.; Osses, A.; Gallardo, L.; Osses, M. // Atmospheric Chemistry & Physics Discussions;2009, Vol. 9 Issue 2, p6325 

    Emission inventories (EIs) are key-tools for air quality management. However, EIs are expensive, and they have uncertainties. A way to improve the accuracy of EIs is data assimilation. Multiple inverse methods have been used at various scales. However, typically, when applying these methods at...

  • Daily variability of motor vehicle emissions derived from... Cardelino, Carlos // Journal of the Air & Waste Management Association;Jul98, Vol. 48 Issue 7, p637 

    Studies the daily variability of mobile sources of air pollution emissions in Atlanta, Georgia. Factors in the estimation of emissions; Questions on emission inventory; Measurement method.

  • What Can Affect AOD--PM2.5 Association? Kumar, Naresh // Environmental Health Perspectives;Mar2010, Vol. 118 Issue 3, pA109 

    The article discusses the factors that influence the association between satellite based aerosol optical depth (AODs) and air pollution. It offers information on the report by Paciorek and Liu (2009). It reports that the weaknesses of AODs to predict the spatial distribution of fine particulate...

  • Mobile Air Monitoring: Measuring Change in Air Quality in the City of Hamilton, 2005-2010. Adams, Matthew; DeLuca, Patrick; Corr, Denis; Kanaroglou, Pavlos // Social Indicators Research;Sep2012, Vol. 108 Issue 3, p351 

    This paper examines the change in air pollutant concentrations between 2005 and 2010 occurring in the City of Hamilton, Ontario, Canada. After analysis of stationary air pollutant concentration data, we analyze mobile air pollutant concentration data. Air pollutants included in the analysis are...

  • Spatial Factors Influencing Winter Primary Particle Sampling and Interpretation. VanCuren, Tony // Journal of the Air & Waste Management Association (Air & Waste M;Sep99 Special Issue, Vol. 49, p3 

    Aerosol samplers collect material that is locally generated as well as that transported from upwind; knowing the extent of the area from which the sample is drawn is necessary for proper interpretation of sampler data. The U.S. Environmental Protection Agency (EPA) PM[sub2.5] monitoring...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics