Literature DB >> 20437781

Uncertainties associated with the use of optical remote sensing technique to estimate surface emissions in landfill applications.

Tarek Abichou1, Jeremy Clark, Sze Tan, Jeffery Chanton, Gary Hater, Roger Green, Doug Goldsmith, Morton A Barlaz, Nathan Swan.   

Abstract

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%.

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Year:  2010        PMID: 20437781     DOI: 10.3155/1047-3289.60.4.460

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  1 in total

1.  Optimal Allocation of Water Resources and Eco-Compensation Mechanism Model Based on the Interval-Fuzzy Two-Stage Stochastic Programming Method for Tingjiang River.

Authors:  Ning Hao; Peixuan Sun; Luze Yang; Yu Qiu; Yingzi Chen; Wenjin Zhao
Journal:  Int J Environ Res Public Health       Date:  2021-12-23       Impact factor: 3.390

  1 in total

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