Usage
  • 42 views
  • 127 downloads

Quantifying Methane Emission from Surface Sources using the Backward Lagrangian Stochastic Method

  • Author / Creator
    Mahzabin, Tarana
  • The subject of this thesis is the micrometeorological estimation of the rate of transfer (``flux'') of gases from surface area sources to the atmosphere. More specifically, it is an investigation of a particular implementation of the ``inverse dispersion'' method (ID), whereby rather than measuring the wanted flux directly, one instead measures the gas concentration rise attributable to the source, and deduces the flux necessary to explain that measurement under the prevailing meteorological conditions. The ID method used here is called ``bLS'' for ``backward Lagrangian stochastic'', a name which alludes to the type of meteorological model used to relate the flux (Q) to the concentration rise (C). The thesis will demonstrate the practicalities involved in implementing bLS to quantify methane emission both from well defined, homogeneous sources and also from inhomogeneous, scattered, and poorly delineated source areas on complex topography.

  • Subjects / Keywords
  • Graduation date
    2012-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3RX4H
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Earth and Atmospheric Sciences
  • Supervisor / co-supervisor and their department(s)
    • Wilson, John D (Department of Earth & Atmospheric Sciences)
  • Examining committee members and their departments
    • Reuter, Gerhard W (Department of Earth & Atmospheric Sciences)
    • Wilson, John D (Department of Earth & Atmospheric Sciences)
    • Hashisho, Zaher (Department of Civil and Environmental Engineering)