Uncertainties associated with the use of optical remote sensing technique to estimate surface emissions in landfill applications.
Landfills represent a source of distributed emissions source over an irregular and heterogeneous surface. In the method termed "Other Test Method-10" (OTM-10), the U.S. Environmental Protection Agency (EPA) has proposed a method to quantify emissions from such sources by the use of vertical radial plume mapping (VRPM) techniques combined with measurement of wind speed to determine the average emission flux per unit area per time from nonpoint sources. In such application, the VRPM is used as a tool to estimate the mass of the gas of interest crossing a vertical plane. This estimation is done by fitting the field-measured concentration spatial data to a Gaussian or some other distribution to define a plume crossing the vertical plane. When this technique is applied to landfill surfaces, the VRPM plane may be within the emitting source area itself. The objective of this study was to investigate uncertainties associated with using OTM-10 for landfills. The spatial variability of emission in the emitting domain can lead to uncertainties of -34 to 190% in the measured flux value when idealistic scenarios were simulated. The level of uncertainty might be higher when the number and locations of emitting sources are not known (typical field conditions). The level of uncertainty can be reduced by improving the layout of the VRPM plane in the field in accordance with an initial survey of the emission patterns. The change in wind direction during an OTM-10 testing setup can introduce an uncertainty of 20% of the measured flux value. This study also provides estimates of the area contributing to flux (ACF) to be used in conjunction with OTM-10 procedures. The estimate of ACF is a function of the atmospheric stability class and has an uncertainty of 10-30%.
Abichou
Tarek
T
Department of Civil Engineering, Florida State University, Tallahassee, FL 32310-6046, USA. abichou@eng.fsu.edu
Clark
Jeremy
J
Tan
Sze
S
Chanton
Jeffery
J
Hater
Gary
G
Green
Roger
R
Goldsmith
Doug
D
Barlaz
Morton A
MA
Swan
Nathan
N
D000397:Air Pollution / Q000032:analysis*; D003198:Computer Simulation; D005740:Gases / Q000032:analysis*; D008956:Models, Chemical; D035501:Uncertainty; D018505:Waste Management; D014919:Wind
D005740:Gases