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Monday, November 23, 2020 | History

2 edition of Validation of the EKMA model using historical air quality data found in the catalog.

Validation of the EKMA model using historical air quality data

John Trijonis

Validation of the EKMA model using historical air quality data

  • 241 Want to read
  • 6 Currently reading

Published by U.S. Environmental Protection Agency, Research and Development, Environmental Sciences Research Laboratory, Center for Environmental Research Information [distributor] in Research Triangle Park, NC, Cincinnati, OH .
Written in English

    Subjects:
  • Air -- Pollution -- Measurement.,
  • Air quality management.,
  • Atmospheric ozone -- Measurement.

  • Edition Notes

    StatementJohn Trijonis and Stan Mortimer.
    ContributionsMortimer, Stan., Environmental Sciences Research Laboratory.
    The Physical Object
    Pagination3 p. ;
    ID Numbers
    Open LibraryOL15261305M

    To calculate the various Pharmacokinetic parameters from the given blood data of I.V bolus injection (one compartment model). To calculate various Pharmacokinetic parameters from the given urinary excretion data of I.V ion using both methods (Rate of elimination & sigma minus method one compartment model). - Amendment AMEDAS - Automated Meteorological Data Acquisition System AMEM - ADL Migration Estimation Model AMFA - Alternative Motor Fuels Act AMIS - Air Management Information System AML - Arc Macro Language AMLGM - Amalgamation of Liquid, Elemental Mercury Contaminated with Radioactive Materials Utilizing Inorganic Reagents AMLR - Annual. AQSM: Air-Quality Simulation Model AQTAD: Air-Quality Technical Assistance Demonstration AR: Administrative Record A&R: Air and Radiation ARA: Assistant Regional Administrator; Associate Regional Administrator ARAC: Acid Rain Advisory Committee ARAR: Applicable or Relevant and Appropriate Standards, Limitations, Criteria, and Requirements ARB 5/5(1). A simple model, such as the river dilution model used in the above example, may require minimal input data and simple manual calculation, while a complex Gaussian plume model may require sophisticated computer techniques and demand considerable resources of input data, time, and expertise.


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Validation of the EKMA model using historical air quality data by John Trijonis Download PDF EPUB FB2

Get this from a library. Validation of the EKMA model using historical air quality data. [John Trijonis; Stan Mortimer; Environmental Sciences Research Laboratory.]. Before the EKMA method is accepted as a reliable technique for control strategy analysis, it should be subjected to validation studies.

This paper describes validation studies of the EKMA method using historical trend data for the Houston (Davis and Trijonis, ) and. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

In book: Air Quality Modeling—Theories, Methodologies, Computational Techniques, and Available Data Bases and Software, Vo.

II – Advanced Topics. (pp). @article{osti_, title = {Development and implementation of an up-to-date photochemical mechanism for use in airshed modeling. Appendices A-C. Summary report, 2 May May (Final)}, author = {Carter, W.P.L.

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EKMA was a photochemical air quality model based on Lagrangian approach used to predict GLO concentrations using precursor emissions. The study observed a satisfactory agreement (variation of less than 10 ppb) between hourly modelled and observed GLO concentrations; peak simulated ozone concentrations were observed in the afternoon at p.m Cited by: Page Natural Emissions, Research Triangle Park.

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The most advanced air quality models should be compared against each other and against field experimental observations, using a detailed and accurate set of input and verification data. Collection of the needed data is vital to air quality model development.

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