Application of Open-path Fourier Transform Infrared Spectroscopy (OP-FTIR) to Measure Greenhouse Gas Concentrations from Agricultural Fields

Authors

Cheng-Hsien Lin, Purdue University
Richard H. Grant, Purdue University
Albert J. Heber, Purdue University
Cliff T. Johnston, Purdue University

Recommended Citation

Lin, C.-H., Grant, R. H., Heber, A. J., and Johnston, C. T.: Application of open-path Fourier transform infrared spectroscopy (OP-FTIR) to measure greenhouse gas concentrations from agricultural fields, Atmos. Meas. Tech., 12, 3403–3415, https://doi.org/10.5194/amt-12-3403-2019, 2019.

DOI

10.5194/amt-12-3403-2019

Date of this Version

6-27-2019

Abstract

Open-path Fourier transform infrared spectroscopy (OP-FTIR) has often been used to measure hazardous or trace gases from hot point sources (e.g. volcano, industrial, or agricultural facilities) but seldom used to measure greenhouse gases (GHGs) from field-scale sources (e.g. agricultural soils). Closed-path mid-IR laser-based N₂O, nondispersive-IR CO₂ analysers, and OP-FTIR were used to measure concentrations of N₂O and CO₂ at a maize cropping system during 9–19 June 2014. To measure N₂O and CO₂ concentrations accurately, we developed a quantitative method of N₂O∕CO₂ analysis that minimized interferences from diurnal changes of humidity and temperature. Two chemometric multivariate models, classical least squares (CLS) and partial least squares (PLS), were developed. This study evaluated various methods to generate the single-beam background spectra and different spectral regions for determining N₂O and CO₂ concentrations from OP-FTIR spectra. A standard extractive method was used to measure the actual path-averaged concentrations along an OP-FTIR optical path in situ, as a benchmark to assess the feasibilities of these quantitative methods. Within an absolute humidity range of 5000–20 000 ppmv and a temperature range of 10–35 ^∘C, we found that the CLS model underestimated N₂O concentrations (bias =-4.9±3.1" role="presentation"> %) calculated from OP-FTIR spectra, and the PLS model improved the accuracy of calculated N₂O concentrations (bias =1.4±2.3" role="presentation"> %). The bias of calculated CO₂ concentrations was -1.0±2.8" role="presentation"> % using the CLS model. These methods suggested that environmental variables potentially lead to biases in N₂O and CO₂ estimations from OP-FTIR spectra and may help OP-FTIR users avoid dependency on extractive methods of calibrations.

Comments

https://doi.org/10.5194/amt-12-3403-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.