Literature DB >> 11414037

Field evaluation of a method for estimating gaseous fluxes from area sources using open-path Fourier transform infrared.

R A Hashmonay1, D F Natschke, K Wagoner, D B Harris, E L Thompson, M G Yost.   

Abstract

This paper describes results from the first field experiment designed to evaluate a new approach for quantifying gaseous fugitive emissions of area air pollution sources. The approach combines path-integrated concentration data acquired with any path-integrated optical remote sensing (PI-ORS) technique and computed tomography (CT) technique. In this study, an open-path Fourier transform infrared (OP-FTIR) instrument sampled path-integrated concentrations along five radial beam paths in a vertical plane downwind from the source. A meteorological station collected measurements of wind direction and wind speed. Nitrous oxide (N2O) was released from a controlled area source simulator. The innovative CT technique, which applies the smooth basis function minimization method to the beam data in conjunction with measured wind data, was used to estimate the total flux from the simulated area source. The new approach estimates consistently underestimated the true emission rates in unstable atmospheric conditions and agreed with the true emission rate in neutral atmospheric conditions. This approach is applicable to many types of industrial areas or volume sources, given the use of an adequate PI-ORS system.

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Year:  2001        PMID: 11414037     DOI: 10.1021/es0017108

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Greenhouse gas emission reductions from domestic anaerobic digesters linked with sustainable sanitation in rural China.

Authors:  Radhika Dhingra; Erick R Christensen; Yang Liu; Bo Zhong; Chang-Fu Wu; Michael G Yost; Justin V Remais
Journal:  Environ Sci Technol       Date:  2011-02-24       Impact factor: 9.028

2.  Characterizing and locating air pollution sources in a complex industrial district using optical remote sensing technology and multivariate statistical modeling.

Authors:  Pao-Erh Paul Chang; Jen-Chih Rena Yang; Walter Den; Chang-Fu Wu
Journal:  Environ Sci Pollut Res Int       Date:  2014-06-01       Impact factor: 4.223

  2 in total

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