Landfill operators require a rapid, simple, low-cost, and accurate method for estimation of landfill methane surface emissions over time. Several methods have been developed to obtain instantaneous field measurements of landfill methane surface emissions. This paper provides a methodology for interpolating instantaneous measurements over time, taking variations in meteorological conditions into account. The goal of this study was to determine the effects of three factors on landfill methane surface emissions: air temperature, pressure gradient between waste and atmosphere, and soil moisture content of the cover material. On the basis of a statistical threefactor and two-level full factorial design, field measurements of methane emissions were conducted at the City of Montreal landfill site during the summer of 2004. Three areas were measured: test area 1 (4800 m 2 ), test area 2 (1400 m 2 ), and test area 3 (1000 m 2 ). Analyses of variance were performed on the data. They showed a significant statistical effect of the three factors and the interaction between temperature and soil moisture content on methane emissions. Analysis also led to the development of a multifactor correlation, which can be explained by the underlying processes of diffusive and advective flow and biological oxidation. This correlation was used to estimate total emissions of the three test areas for July and August 2004. The approach was validated using a second dataset for another area adjacent to the landfill.
INTRODUCTIONLandfill operators require a rapid, simple, low-cost method for estimation of landfill methane surface emissions over time. This information is required for many purposes, particularly environmental pollution monitoring and the assessment of the efficiency of landfill gas (LFG) collection systems.Several methods have been developed to obtain instantaneous field measurements of landfill methane surface emissions. These include dynamic or static flux chambers, 1-5 micrometeorological methods, 1,6,7 or pathintegrated optical remote sensing (PI-ORS) techniques. 8 -12 These methods all provide estimates of methane emission levels under the prevailing conditions at the time of measurement. PI-ORS techniques have also been used efficiently to monitor time-dependent emission variation over the measurement period. For example, over a 1-hr measurement session using open-path tunable diode laser absorption spectroscopy (OP-TDLAS), an emission rate of 24.1 g/sec with a standard deviation of 4.7 g/sec was measured at a bioreactor landfill operated under aerobic conditions, 11 thus a variation of almost 20%.However, landfill methane surface emissions also exhibit a long-term temporal variability, and there is a need for a methodology that will permit interpolation of measurement over longer periods of time (months to years). Many factors are known to cause these variations. LFG emissions arise from multiphase (liquid and gas) flow through the pore spaces of waste and soil cover. Porosity and permeability are heterogeneous. T...