FTIR Spectroscopy of the Atmosphere. I. Principles and Methods

References

• Hanst , P. L. 1971 . “ Spectroscopic method for air pollutants measurements ” . In Advances in Environments Sciences and Technology Edited by: Pitts , J. N. Jr. and Metcaft , R. L. Vol. 2 , 91 – 213 . New York : Wiley‐Interscience .
   Google Scholar
• 1999 . Long‐Path Open Path Fourier Transform Infrared Monitoring of Atmospheric Gases. Compendium of Methods for the Determination of Toxic Organic Compounds in Ambient Air, Compendium Method TO‐16 , 2nd Ed. Cincinnati : US EPA . EPA/625/R‐96/010b
   Google Scholar
• 1999 . Extractive FTIR method for the measurement of emissions from the mineral wool and wool fiberglass industries . Fed. Regist. , 64 : 31,695 – 31,733 . US EPA Test Method 318
   Google Scholar
• 1999 . Measurement of vapor phase organic and inorganic emissions by extractive Fourier transform infrared (FTIR) spectroscopy . Fed. Regist. , 64 : 31,937 – 31,962 . US EPA Test Method 320
   Google Scholar
• 1998 . Measurement of gaseous hydrogen chloride emissions at portland cement kilns by Fourier transform infrared (FTIR) spectroscopy . Fed. Regist. , 63 : 14,237 – 14,243 . US EPA Test Method 321
   Google Scholar
• 2000 . “ Atmospheric measurements near ground with FTIR spectroscopy, measurement of gaseous emissions and immissions fundamentals. VDI‐Guideline 4211 ” . In VDI/DIN Handbuch Reinhaltung der Luft; Part 1. Remote Sensing Berlin, Beuth : VDI .
   Google Scholar
• 2002 . “ Organic and inorganic gases by extractive FTIR spectrometry. NIOSH Method 3800 ” . In NIOSH Manual of Analytical Methods , 4th Ed. 1 – 47 . Issue 1
   Google Scholar
• Heise , H. M. Prof. private communication .
   Google Scholar
• 2002 . “ Standard practice for open‐path Fourier transform infrared (OP/FT‐IR) monitoring of gases and vapors in air ” . In Annual Book of ASTM Standard Vol. 03.06 , ASTM .
   Google Scholar
• 2002 . “ Standard guide for open‐path Fourier transform infrared (OP/FT‐IR) monitoring of gases and vapors in air ” . In Annual Book of ASTM Standards Vol. 03.06 , ASTM .
   Google Scholar
• Griffith , D. W.T. and Jamie , I. M. 2000 . “ Fourier transform infrared spectrometry in atmospheric and trace gas analysis ” . In Encyclopedia of Analytical Chemistry Edited by: Meyers , R. A. 1979 – 2007 . Chichester : Wiley .
   Google Scholar
• Russwurm , G. M. and Childers , J. W. 2002 . “ Open‐path Fourier transform infrared spectroscopy ” . In Handbook of Vibrational Spectroscopy Edited by: Chalmers , J. M. and Griffiths , P. R. Vol. 2 , 1750 – 1773 . New York : Wiley .
   Google Scholar
• Spellicy , R. L. and Webb , J. D. 2002 . “ Atmospheric monitoring using extractive techniques ” . In Handbook of Vibrational Spectroscopy Edited by: Chalmers , J. M. and Griffiths , P. R. Vol. 2 , 1721 – 1749 . New York : Wiley .
   Google Scholar
• Visser , T. 2000 . “ Infrared spectroscopy in environmental analysis ” . In Encyclopedia of Analytical Chemistry Edited by: Meyers , R. A. Chichester : Wiley .
   Google Scholar
• White , J. U. 1942 . Long optical paths of large aperture . J. Opt. Soc. Am. , 32 : 285 – 288 .
   Google Scholar
• Hanst , P. L. 2002 . “ Long path gas cells ” . In Handbook of Vibrational Spectroscopy Edited by: Chalmers , J. M. and Griffiths , P. R. Vol. 2 , 960 – 968 . New York : Wiley .
   Google Scholar
• Chernin , S. M. 1996 . New generation of multipass systems in high resolution spectroscopy . Spectrochim. Acta A , 52 : 1009 – 1022 . [CROSSREF] [CSA]
   Google Scholar
• Vitushkin , A. L. and Vitushkin , L. F. 1998 . Design of a multipass optical cell based on the use of a shift corner cubes and right‐angle prisms . Appl. Opt. , 37 : 162 – 165 .
   PubMedGoogle Scholar
• Doussin , J. F. , Ritz , D. , Durand‐Jolibois , R. , Monod , A. and Carlier , P. 1997 . Design of an environmental chamber for the study of atmospheric chemistry: new developments in the analytical device . Analysis , 2 : 236 – 242 .
   Google Scholar
• Hanst , P. L. 1994 . Photolysis assisted pollution analysis (PAPA) . Proceedings of the 1994 US EPA/AWMA International Symposium . May 2–6 1994 , Durham, North Carolina. Measurement of Toxic and Related Air Pollutants , pp. 576 – 582 .
   Google Scholar
• Bacsik , Z. and Mink , J. 2003 . A practical background spectrum technique for long path FTIR detection of organic air pollutants . August 24–29 2003 , Nottingham. The 2nd International Conference on Advanced Vibrational Spectroscopy ,
   Google Scholar
• Lechner , B. and Sturm , P. J. 1998 . Different methods of evaluating sharp‐peaked compounds in FTIR spectra using benzene as an example . Proc. SPIE , 3493 : 88 – 93 .
   Google Scholar
• 1996 . EPA FT‐IR Open‐path Monitoring Guidance Document Research Triangle Park : US EPA .
   Google Scholar
• Hart , B. K. , Berry , R. J. and Griffiths , P. R. 1999 . Effects of resolution, spectral window, and background on multivariate calibrations used for open‐path Fourier‐transform infrared spectroscopy . Field Anal. Chem. Tech. , 3 : 117 – 130 .
   Google Scholar
• Griffiths , P. R. , Hart , B. K. , Yang , H. and Berry , R. J. 2000 . Open‐path FT‐IR spectrometry: is completely unattended operation feasible . Talanta , 53 : 223 – 231 . [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Hunt , R. N. and Fuchs , P. A. 1995 . Applications in continuous monitoring of atmospheric pollutants by remote sensing . Proc. SPIE , 2365 : 325 – 332 . [CSA]
   Google Scholar
• Xiao , H. and Levine , S. P. 1993 . Application of computerized differentiation technique to remote‐sensing Fourier transform infrared spectrometry for analysis of toxic vapors . Anal. Chem. , 65 : 2262 – 2269 . [PUBMED] [INFOTRIEVE]
   PubMedGoogle Scholar
• Giese‐Bogdan , S. , Levine , S. P. and Molt , K. 1999 . Application of the shifting method as a technique to correct for the background in quantitative analysis by open‐path FTIR . J. Air Waste Manag. Assoc. , 49 : 114 – 124 .
   PubMedGoogle Scholar
• Giese‐Bogdan , S. , Levine , S. P. and Molt , K. 1997 . Methods for background correction in open‐path Fourier transform infrared spectroscopy: the shifting method as a new tool . Proc. SPIE , 3106 : 199 – 209 .
   Google Scholar
• Espinoza , L. H. , Niemczyk , T. M. and Stallard , B. R. 1998 . Generation of synthetic background spectra by filtering the sample interferogram in FT‐IR . Appl. Spectrosc. , 52 : 375 – 379 . [CROSSREF]
   Google Scholar
• Rothman , L. S. , Rinsland , C. P. , Goldman , A. , Massie , S. T. , Edwards , D. P. , Flaud , J.‐M. , Perrin , A. , Camy‐Peyret , C. , Dana , V. , Mandin , J. Y. , Schroeder , J. , McCann , A. , Gamache , R. R. , Wattson , R. B. , Yoshino , K. , Chance , K. , Jucks , K. , Brown , L. R. , Nemtchinov , V. and Varanasi , P. 1998 . The HITRAN molecular spectroscopic database and HAWKS (HITRAN atmospheric workstation): 1996 edition . J. Quant. Spectrosc. Ra. , 60 : 665 – 710 . [CROSSREF]
   Web of Science ®Google Scholar
• Rothman , L. S. , Barbe , A. , Chris Benner , D. , Brown , L. R. , Camy‐Peyret , C. , Carleer , M. R. , Chance , K. , Clerbaux , C. , Dana , V. , Devi , V. M. , Fayt , A. , Flaud , J.‐M. , Gamache , R. R. , Goldman , A. , Jacquemart , D. , Jucks , K. W. , Lafferty , W. J. , Mandin , J.‐Y. , Massie , S. T. , Nemtchinov , V. , Newnham , D. A. , Perrin , A. , Rinsland , C. P. , Schroeder , J. , Smith , K. M. , Smith , M. A.H. , Tang , K. , Toth , R. A. , Vander Auwera , J. , Varanasi , P. and Yoshino , K. 2003 . The HITRAN molecular spectroscopic database: edition of 2000 including updates through 2001 . J. Quant. Spectrosc. Ra. , 82 : 5 – 44 . [CROSSREF] [CSA]
   Web of Science ®Google Scholar
• Jacquinet‐Husson , N. , Arie , E. , Ballard , J. , Barbe , A. , Bjoraker , G. , Bonnet , B. , Brown , L. R. , Camy‐Peyret , C. , Champion , J.‐P. , Chedin , A. , Chursin , A. , Clerbaux , C. , Duxbury , G. , Flaud , J.‐M. , Fourrie , N. , Fayt , A. , Graner , G. , Gamache , R. , Goldman , A. , Golovko , V. , Guelachvilli , G. , Hartmann , J.‐M. , Hilico , J. C. , Hillman , J. , Lefevre , G. , Lellouch , E. , Mikhailenko , S. N. , Naumenko , O. V. , Nemtchinov , V. , Newnham , D. A. , Nikitin , A. , Orphal , J. , Perrin , A. , Reuter , D. C. , Rinsland , C. P. , Rosenmann , L. , Rothman , L. S. , Scott , N. A. , Selby , J. , Sinitsa , L. N. , Sirota , J. M. , Smith , A. M. , Smith , K. M. , Tyuterev , Vl. G. , Tipping , R. H. , Urban , S. , Varanasi , P. and Weber , M. 1999 . The 1997 spectroscopic GEISA databank . J. Quant. Spectrosc. Ra. , 62 : 205 – 254 . [CROSSREF]
   Web of Science ®Google Scholar
• Müller , U. and Heise , H. M. Experiences with different background generation strategies used for the evaluation of atmospheric FTIR spectra obtained in open path monitoring . August 22–27 1999 , Tokyo, Japan. Twelfth International Conference on Fourier Transform Spectroscopy , Edited by: Itoh , K. and Tasumi , M. pp. 331 – 332 . Tokyo : Waseda University .
   Google Scholar
• Kricks , R. J. , Pescatore , D. E. , Perry , S. H. and Dubois , A. E. 1995 . Simultaneous use of two open‐path FTIR spectrometers for data collection in complex source environments . Proc. SPIE , 2365 : 206 – 217 . [CSA]
   Google Scholar
• Yang , H. and Griffiths , P. R. 1999 . Application of multilayer feed‐forward neural networks to automated compound identification in low‐resolution open‐path FT‐IR spectrometry . Anal. Chem. , 71 : 751 – 761 . [PUBMED] [INFOTRIEVE] [CROSSREF]
   PubMedGoogle Scholar
• Yang , H. and Griffiths , P. R. 1999 . Encoding FT‐IR spectra in a Hopfield network and its application to compound identification in open‐path FT‐IR measurements . Anal. Chem. , 71 : 3356 – 3364 . [CROSSREF]
   Google Scholar
• Yang , H. , Jegla , J. D. and Griffiths , P. R. 1998 . Classification and recognition of compounds in low‐resolution open‐path FT‐IR spectrometry by Kohonen self‐organizing maps . Fresenius J. Anal. Chem. , 362 : 25 – 33 . [CROSSREF]
   Google Scholar
• Müller , U. and Heise , H. M. 2000 . Reliable component identification in atmospheric open‐path FTIR spectroscopy by a cross‐correlation method . Field Anal. Chem. Tech. , 5 : 50 – 59 .
   Google Scholar
• Visser , T. , Luinge , H. J. and Van der Maas , J. 1997 . Neural networks as a tool for identity confirmation of IR spectra . Mikrochim. Acta , 14 ( Suppl. ) : 287 – 288 .
   Google Scholar
• Luinge , H. J. , Leussink , E. D. and Visser , T. 1997 . Trace‐level identify confirmation from infrared spectra by library searching and artificial neural networks . Anal. Chim. Acta , 345 : 173 – 184 . [CROSSREF]
   Google Scholar
• Ruyken , M. M.A. , Visser , J. A. and Smilde , A. K. 1995 . On‐line detection and identification of interferences in multivariate predictions of organic gases using FT‐IR spectroscopy . Anal. Chem. , 67 : 2170 – 2179 .
   Google Scholar
• Zhang , J. and Gong , Y. 2001 . Automated identification of infrared spectra of hazardous clouds by passive FTIR remote sensing . Proc. SPIE , 4548 : 356 – 362 .
   Google Scholar
• Hanst , P. L. and Hanst , S. T. 1994 . “ Gas measurements in fundamental infrared region ” . In Air Monitoring by Spectroscopic Techniques Edited by: Sigrist , M. W. 335 – 466 . New York : Wiley‐Interscience .
   Google Scholar
• Hanst , P. L. , Hanst , S. T. and Williams , G. M. 1996 . Mouse‐controlled air analysis using grams‐386 . Proc. SPIE , 2883 : 640 – 652 .
   Google Scholar
• 2001 . Theory of FT‐IR Spectroscopy Helsinki : Temet Instruments Oy .
   Google Scholar
• Thomas , E. V. and Haaland , D. M. 1990 . Comparison of multivariate calibration methods for quantitative spectral analysis . Anal. Chem. , 62 : 1091 – 1099 .
   Web of Science ®Google Scholar
• Haaland , D. M. and Thomas , E. V. 1988 . Partial least‐squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information . Anal. Chem. , 60 : 1193 – 1202 .
   Web of Science ®Google Scholar
• Haaland , D. M. and Thomas , E. V. 1988 . Partial least‐squares methods for spectral analyses. 2. Application to simulated and glass spectral data . Anal. Chem. , 60 : 1202 – 1208 .
   Web of Science ®Google Scholar
• Haaland , D. M. and Melgaard , D. K. 2001 . New classical least‐squares/partial least‐squares hybrid algorithm for spectral analyses . Appl. Spectrosc. , 55 : 1 – 8 . [CROSSREF]
   Google Scholar
• Mattu , M. J. and Small , G. W. 1995 . Quantitative analysis of bandpass‐filtered Fourier transform infrared interferograms . Anal. Chem. , 67 : 2269 – 2278 . [PUBMED] [INFOTRIEVE]
   PubMedGoogle Scholar
• Mattu , M. J. , Small , G. W. and Arnold , M. A. 1997 . Application of multivariate calibration techniques to quantitative analysis of bandpass‐filtered Fourier transform infrared interferogram data . Appl. Spectrosc. , 51 : 1369 – 1376 . [CROSSREF]
   Google Scholar
• Esler , M. B. , Griffith , D. W.T. , Wilson , S. R. and Steele , L. P. 2000 . Precision trace gas analysis by FT‐IR spectroscopy. 1. Simultaneous analysis of CO2, CH4, N2O and CO in air . Anal. Chem. , 72 : 206 – 215 . [PUBMED] [INFOTRIEVE] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Esler , M. B. , Griffith , D. W.T. , Wilson , S. R. and Steele , L. P. 2000 . Precision trace gas analysis by FT‐IR spectroscopy. 2. The 13C/12C isotope ratio of CO2 . Anal. Chem. , 72 : 216 – 221 . [PUBMED] [INFOTRIEVE] [CROSSREF]
   PubMedGoogle Scholar
• Griffith , D. W.T. 1996 . Synthetic calibration and quantitative analysis of gas‐phase FT‐IR spectra . Appl. Spectrosc. , 50 : 59 – 70 .
   Web of Science ®Google Scholar
• Griffith , D. W.T. , Esler , M. B. , Steele , L. P. and Reisinger , A. 2003 . High precision quantitative analysis of gas phase FTIR spectra by non‐linear least squares . August 24–29 2003 , Nottingham. The 2nd International Conference on Advanced Vibrational Spectroscopy ,
   Google Scholar
• Childers , J. W. , Phillips , W. J. , Thompson , E. L. , Harris , D. B. , Kirchegessner , D. A. , Natschke , D. F. and Clayton , M. 2002 . Comparison of an innovative nonlinear algorithm to classical least‐squares for analyzing open path Fourier‐transform infrared spectra collected at a concentrated swine production facility . Appl. Spectrosc. , 56 : 325 – 336 . [CROSSREF]
   Google Scholar
• Wang , C. D. , Walter , W. T. and Kagann , R. H. 1995 . Neural network and classical least squares methods for quantitative analysis in remote sensing FTIR systems . Proc. SPIE , 2366 : 251 – 262 .
   Google Scholar
• Bak , J. and Larsen , A. 1995 . Quantitative gas analysis with FT‐IR: a method for CO calibration using partial least‐squares with linearised data . Appl. Spectrosc. , 49 : 437 – 443 .
   Google Scholar
• Johansen , I. R. , Lines , G. T. , Honne , A. and Midtgaard , T. 1997 . Calibration of an spectrometer for ambient air monitoring using PLS . Appl. Spectrosc. , 51 : 1540 – 1546 . [CROSSREF]
   Google Scholar
• Pérez‐Ponce , A. , Rambla , F. J. , Garrigues , S. , Garrigues , J. M. and Guardia , M. 1998 . Partial least‐squares Fourier transform infrared spectrometric determination of methanol and ethanol by vapour‐phase generation . Analyst , 123 : 1253 – 1258 . [CROSSREF]
   Google Scholar
• Müller , U. , Heise , H. M. , Mosebach , H. , Gärtner , A. G. and Häusler , T. 1999 . Improved strategies for quantitative evaluation of atmospheric FTIR spectra obtained in open‐path monitoring . Field Anal. Chem. Tech. , 3 : 141 – 159 . [CROSSREF]
   Google Scholar
• Escola , S. M. and Stenman , F. 1997 . Interpolation of spectral data using the shift theorem of the discrete Fourier transform . Appl. Spectrosc. , 51 : 1179 – 1184 . [CROSSREF]
   Google Scholar
• Wang , C. D. and Kagann , R. H. 1997 . Improving detection sensitivity of FTIR spectrometers by water vapor line alignment . Proc. SPIE , VIP‐67 : 239 – 249 .
   Google Scholar
• Hart , B. K. and Griffiths , P. R. 2000 . Effect of resolution on quantification in open‐path Fourier transform infrared spectrometry under conditions of low detector noise 1. Classical least squares regression . Environ. Sci. Tech. , 34 : 1337 – 1345 . [CROSSREF] [CSA]
   Google Scholar
• Hart , B. K. , Berry , R. J. and Griffiths , P. R. 2000 . Effect of resolution on quantification in open‐path Fourier transform infrared spectrometry under conditions of low detector noise 2. Partial least squares regression . Environ. Sci. Tech. , 34 : 1346 – 1351 . [CROSSREF] [CSA]
   Google Scholar
• US EPA Technology Transfer Web, Emission Control Center http://www.epa.gov/ttn/emc/ftir/ignam.html
   Google Scholar
• Jiang , J. H. , Berry , R. J. , Siesler , H. W. and Ozaki , Y. 2002 . Wavelength interval selection in multicomponent spectral analysis by moving window partial least‐squares regression with applications to mid‐infrared and near‐infrared spectroscopic data . Anal. Chem. , 74 : 3555 – 3565 . [PUBMED] [INFOTRIEVE] [CROSSREF]
   PubMed Web of Science ®Google Scholar
• Ingling , L. and Isenhour , T. L. 1999 . Spectral matching quantitative open‐path Fourier‐transform infrared spectroscopy . Field Anal. Chem. Tech. , 3 : 37 – 43 . [CROSSREF]
   Google Scholar
• Ingling , L. and Isenhour , T. L. 2000 . A slope‐ratio method for quantitative open‐path FTIR . Field Anal. Chem. Tech. , 4 : 127 – 133 . [CROSSREF]
   Google Scholar
• Ingling , L. and Isenhour , T. L. 1999 . Quantitative open‐path FTIR with the use of isotopic standards . Field Anal. Chem. Tech. , 3 : 105 – 110 .
   Google Scholar
• Heise , H. M. , Müller , U. , Gärtner , A. G. and Hölscher , N. 2001 . Improved chemometric strategies for quantitative FTIR spectral analysis and applications in atmospheric open‐path monitoring . Field Anal. Chem. Tech. , 5 : 13 – 28 .
   Google Scholar
• Heise , H. M. , Kirchner , H. H. and Richter , W. 1985 . Calibration method for the infrared‐spectrometric trace gas analysis . Fresenius Z. Anal. Chem. , 322 : 397 – 400 . [CROSSREF]
   Google Scholar
• Müller , U. and Heise , H. M. High‐quality gas phase FT‐IR reference spectra of 0.2 cm−1 spectral resolution for reliable assays in process analysis and atmospheric monitoring . August 22–27 1999 , Tokyo, Japan. Twelfth International Conference on Fourier Transform Spectroscopy , Edited by: Itoh , K. and Tasumi , M. pp. 333 – 334 . Tokyo : Waseda University .
   Google Scholar
• Goelen , E. , Lambrechts , M. , Geyskens , F. and Rymen , T. 1992 . Development and performance‐characteristics of a capillary dosage unit with in situ weight sensor for the preparation of known amounts of gaseous VOCs in air . J. Environ. Anal. Chem. , 47 : 217 – 225 .
   Google Scholar
• Richardson , R. L. Jr. and Griffiths , P. R. 1998 . Evaluation of a system for generation quantitatively accurate vapor‐phase infrared reference spectra . Appl. Spectrosc. , 52 : 143 – 153 . [CROSSREF]
   Google Scholar
• QASoft, Infrared Spectra for Quantitative Analysis of Gases Anaheim : Infrared Analysis, Inc. .
   Google Scholar
• Daugherty , T. , Phillips , B. , Brown , D. , Howard , R. and Lay , L. T. 1995 . High‐temperature reference spectra and spectral database . Proc. SPIE , 2365 : 407 – 410 . [CSA]
   Google Scholar
• Tomasko , M. S. and Todd , L. A. 1995 . Evaluating open‐path FTIR spectrometer data using different quantification methods, libraries, and background spectra obtained under varying environmental conditions . Proc. SPIE , 2365 : 411 – 417 . [CSA]
   Google Scholar
• Gas Phase Infrared Spectral Standards Irvine : MIDAC Corporation .
   Google Scholar
• Sprouse , J. F. 1991 . Quantitative Infrared Spectral Database Charlotte, North Carolina : Sprouse Scientific Systems .
   Google Scholar
• Chu , P. M. , Rhoderick , G. C. , Van Vlack , D. , Wetzel , S. J. , Lafferty , W. J. and Guenther , F. R. 1998 . A quantitative, infrared spectral database of hazardous air pollutants . Fresenius J. Anal. Chem. , 360 : 426 – 429 . [CROSSREF]
   Google Scholar
• Chu , P. M. , Guenther , F. R. , Rhoderick , G. C. , Lafferty , W. J. and Phillips , W. 1999 . Sample and data processing considerations for the NIST quantitative infrared database . Proc. SPIE , 3534 : 204 – 211 .
   Google Scholar
• Chu , P. M. , Guenther , F. R. , Rhoderick , G. C. and Lafferty , W. J. 1999 . The NIST quantitative infrared database . J. Res. Natl. Inst. Stan. , 104 : 59 [CSA]
   Google Scholar
• Bak , J. 1999 . Raid method for simulating gas spectra using reversed PCR temperature calibration models based on HITRAN data . Appl. Spectrosc. , 53 : 1375 – 1381 . [CROSSREF]
   Google Scholar
• Yokelson , R. J. , Griffith , D. W.T. , Burkholder , J. B. and Ward , D. E. 1996 . Accuracy and advantages of synthetic calibration of smoke spectra . Proc. SPIE , 2883 : 365 – 378 .
   Google Scholar
• Griffith , D. W.T. Prof. private communication .
   Google Scholar
• Fleckl , T. , Jager , H. and Obernberger , I. 2002 . Experimental verification of gas spectra calculated for high temperatures using the HITRAN/HITEMP database . J. Phys. D Appl. Phys. , 35 : 3138 – 3144 . [CROSSREF]
   Google Scholar
• Xiaofei , W. , Weiqi , J. and Rulin , W. 2001 . New band model used to calculate infrared absorption of CO2, CO, H2O and CH4 . Proc. SPIE , 4548 : 350 – 355 .
   Google Scholar
• The Information System Spectroscopy of Atmospheric Gases . (Web‐based software for modeling and visualising molecular absorption spectra) Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Science, Tomsk, http://spectra.iao.ru/en
   Google Scholar
• Lamp , T. , Radmacher , M. , Weber , K. , Gaertner , A. , Nitz , R. and Broeker , G. 1997 . Calibration of an open‐path FTIR spectrometer for methane, ethylene, and carbon monoxide using a fixed 20‐m multipass cell . Proc. SPIE , 3107 : 126 – 136 .
   Google Scholar
• Ropertz , A. , Lamp , T. , Douard , M. , Weber , K. , Gaertner , A. , Elbers , C. and Nitz , R. 1997 . Calibration of a high‐resolution open‐path FTIR spectrometer combined with an adjustable 100‐m multipass cell . Proc. SPIE , 3107 : 137 – 147 .
   Google Scholar
• Demirgian , J. and Macha , S. 1999 . Collection of quantitative chemical release field data . Field Anal. Chem. Tech. , 3 : 59 – 104 .
   Google Scholar
• Tate , J. D. 2003 . Online spectroscopy in chemical manufacturing: old and new . August 24–29 2003 , Nottingham. The 2nd International Conference on Advanced Vibrational Spectroscopy ,
   Google Scholar
• Kauppinen , J. K. The lowest and the highest resolution in FT‐IR spectroscopy . August 22–27 1999 , Tokyo, Japan. Twelfth International Conference on Fourier Transform Spectroscopy , Edited by: Itoh , K. and Tasumi , M. pp. 47 – 49 . Tokyo : Waseda University .
   Google Scholar
• Russwurm , G. M. and Phillips , B. 1999 . Effects of a nonlinear response of the Fourier‐transform infrared open‐path instrument on the measurements of some atmospheric gases . Appl. Opt. , 38 : 6398 – 6407 .
   PubMed Web of Science ®Google Scholar
• Childers , J. W. , Russwurm , G. M. , Thompson , E. L. Jr. and Phillips , B. 1996 . Resolution revisited—practical considerations in open‐path FT‐IR monitoring . Proc. SPIE , 2883 : 167 – 178 .
   Google Scholar
• Kagann , R. H. , Walter , W. T. and Wang , C. D. 1996 . Field tests to determine optimum resolution for open‐path FTIR measurements . Proc. SPIE , 2883 : 179 – 190 .
   Google Scholar
• Herget , W. F. 1996 . Effects of spectral resolution on classical least squares analysis of open‐path FTIR spectra . Proc. SPIE , 2883 : 191 – 202 .
   Google Scholar
• Russwurm , G. M. and Phillips , W. 1999 . Uncertainties in FTIR data due to a nonlinear response . Proc. SPIE , 3534 : 176 – 186 .
   Google Scholar
• Griffiths , P. R. , Richardson , R. L. , Qin , D. and Zhu , C. 1995 . Open‐path atmospheric monitoring with a low‐resolution FTIR spectrometer . Proc. SPIE , 2365 : 274 – 284 . [CSA]
   Google Scholar
• Berry , R. J. , Hart , B. K. , Richardson , R. L. and Griffiths , P. R. 1999 . A low‐resolution spectrometer for open‐path Fourier transform infrared spectrometry . Field Anal. Chem. Tech. , 3 : 131 – 138 .
   Google Scholar
• Ahonen , I. , Riipinen , H. and Roos , A. 1996 . Portable Fourier transform infrared spectrometer for use as a gas analyzer in industrial hygiene . Analyst , 121 : 1253 – 1255 . [CROSSREF]
   Web of Science ®Google Scholar
• Chaffin , C. T. , Marshall , T. L. , Jaakkola , P. T. , Kauppinen , J. K. , Fateley , W. G. and Hammaker , R. M. 1995 . Assessment of indoor air quality using extractive Fourier transform infrared (FTIR) measurements . Proc. SPIE , 2365 : 140 – 150 . [CSA]
   Google Scholar
• Makepeace , V. D. , Chase , C. W. , Chaffin , C. T. , Marshall , T. L. , Jaakkola , P. T. , Hoffman , R. M. , Hammaker , R. M. and Fateley , W. G. 1997 . Monitoring indoor air quality by extractive FT‐IR spectrometry . Mikrochim. Acta , 14 ( Suppl. ) : 563 – 564 .
   Google Scholar
• Wright , R. S. , Howe , G. B. and Jayanty , R. K.M. 1998 . Evaluation of a portable Fourier transform infrared gas analyzer for measurements of air toxics in pollution prevention research . J. Air Waste Manag. Assoc. , 48 : 1077 – 1084 . [PUBMED] [INFOTRIEVE]
   PubMedGoogle Scholar
• Jaakkola , P. , Vahlman , T. , Roos , A. , Saarinen , P. and Kauppinen , J. 1998 . On‐line analysis of stack gas composition by a low resolution FTIR gas analyzer . Water Air Soil. Poll. , 101 : 79 – 92 . [CROSSREF]
   Google Scholar
• Larjava , K. T. , Tormonen , K. E. , Jaakkola , P. T. and Roos , A. A. 1997 . Field measurements of flue gases from combustion of miscellaneous fuels using a low‐resolution FTIR gas analyzer . J. Air Waste Manag. Assoc. , 47 : 1284 – 1290 .
   Google Scholar
• Ahro , M. , Hakala , M. , Kauppinen , J. and Kallio , H. 2001 . Process control of apple winemaking by low‐resolution gas‐phase Fourier‐transform spectroscopy . Fresenius J. Anal. Chem. , 371 : 541 – 549 . [PUBMED] [INFOTRIEVE] [CROSSREF]
   PubMedGoogle Scholar
• Hakala , M. , Ahro , M. , Kauppinen , J. and Kallio , H. 2001 . Determination of strawberry volatiles with low resolution gas phase FT‐IR analyzer . Eur. Food Res. Technol. , 212 : 505 – 510 . [CROSSREF]
   Google Scholar
• Jaakkola , P. T. , Tate , J. D. , Paakkunainen , M. , Kauppinen , J. and Saarinen , P. 1997 . Instrumental resolution considerations for Fourier transform infrared gas‐phase spectroscopy . Appl. Spectrosc. , 51 : 1159 – 1169 . [CROSSREF]
   Web of Science ®Google Scholar
• Bak , J. and Clausen , S. 1999 . Signal‐to noise ratio of FT‐IR CO gas spectra . Appl. Spectrosc. , 53 : 697 – 700 . [CROSSREF]
   Google Scholar
• Marshall , T. L. , Chaffin , C. T. , Makepeace , V. D. , Hoffman , R. M. , Hammaker , R. M. , Fateley , W. G. , Saarinen , P. and Kauppinen , J. 1994 . Investigation of the effects of resolution on the performance of classical least‐squares (CLS) spectral interpretation programs when applied to volatile organic‐compounds (VOCS) of interest in remote‐sensing using open‐air long‐path Fourier‐transform infrared spectroscopy . J. Mol. Struct. , 324 : 19 – 28 . [CROSSREF]
   Web of Science ®Google Scholar
• Ahro , M. and Kauppinen , J. 2001 . Nonlinearity of Beer's law in gas‐phase FT‐IR spectroscopy . Appl. Spectrosc. , 55 : 50 – 54 . [CROSSREF]
   Google Scholar
• Richardson , R. L. Jr. , Yang , H. and Griffiths , P. R. 1998 . Evaluation of a correction for photometric errors in FT‐IR spectrometry introduced by a nonlinear detector response . Appl. Spectrosc. , 52 : 565 – 571 . [CROSSREF]
   Google Scholar
• Richardson , R. L. Jr. , Yang , H. and Griffiths , P. R. 1998 . Effects of detector nonlinearity on spectra measured on three commercial FT‐IR spectrometers . Appl. Spectrosc. , 52 : 572 – 577 . [CROSSREF]
   Google Scholar
• Chang , S. Y. , Tso , T. L. and Lo , J. G. 2001 . The nonlinearity and related band strength of carbon monoxide when applied in ambient air measurement using open long‐path Fourier transform infrared spectrometry . J. Air Waste Manage. Assoc. , 51 : 1332 – 1338 . [CSA]
   Web of Science ®Google Scholar
• Zhu , C. and Griffiths , P. R. 1998 . Extending the range of Beer's law in FT‐IR spectrometry. Part I. Theoretical study of Norton–Beer apodization functions . Appl. Spectrosc. , 52 : 1403 – 1408 . [CROSSREF]
   Google Scholar
• Zhu , C. and Griffiths , P. R. 1998 . Extending the range of Beer's law in FT‐IR spectrometry. Part II. Theoretical study of continuous apodization functions . Appl. Spectrosc. , 52 : 1409 – 1413 . [CROSSREF]
   Google Scholar
• Windpassinger , R. 1998 . Quantitative analysis of flue gas FTIR‐spectra employing a new mathematical method to determine the instrumental line shape . Proc. SPIE , 3493 : 64 – 70 . [CSA]
   Google Scholar
• Davies , N. M. , Bell , W. , Vance , A. and Hilton , M. 1998 . Measurement of Fourier transform infrared spectrometer instrument line shape . Proc. SPIE , 3493 : 79 – 87 . [CSA]
   Google Scholar
• Russwurm , G. M. and Childers , J. W. 1997 . Quality‐assurance/quality‐control issues in open‐path FTIR monitoring . Proc. SPIE , 3107 : 86 – 92 .
   Google Scholar
• Douard , M. , Zeutzius‐Reitz , J. , Lamp , T. , Ropertz , A. and Weber , K. 1997 . Quality‐assurance procedures and measurements for open‐path FTIR spectroscopy . Proc. SPIE , 3107 : 114 – 125 .
   Google Scholar
• Tank , V. , Beier , K. R. , Wagner , G. and Haschberger , P. 1997 . Spectral infrared transmittance of haze and fog: its measurement and influence on FTIR open‐path monitoring . Proc. SPIE , 310 : 93 – 102 .
   Google Scholar
• Hasmonay , R. A. 2002 . Extinction spectroscopy for characterization of particulate matter size and concentration in fugitive plumes . July 29–31 2002 . The Second Optical Remote Sensing (ORS) Workshop , EPA Research Triangle Park .
   Google Scholar
• Hasmonay , R. A. and Yost , M. G. 1999 . On the Application of open‐path Fourier‐transform infrared spectroscopy to measure aerosols: observations of water droplets . Environ. Sci. Technol. , 33 : 1141 – 1144 . [CROSSREF]
   Google Scholar
• Russwurm , G. M. , Childers , J. W. and Thompson , E. L. 1995 . Effects of stray light in FTIR instruments on open‐path measurements . Proc. SPIE , 2365 : 339 – 346 . [CSA]
   Google Scholar
• Richardson , R. L. and Griffiths , P. R. 1997 . Reduction of stray light in monostatic open‐path FT‐IR spectrometers with a plane correction mirror . Appl. Spectrosc. , 51 : 1254 – 1256 . [CROSSREF]
   Google Scholar
• Thompson , E. L. , Childers , J. W. and Russwurm , G. M. 1995 . Effect of ambient blackbody and other IR emission sources on bistatic open‐path FT‐IR measurements . June 1995 , San Antonio, Texas. Proceedings of the 88th Annual Meeting and Exhibition of the Air and Waste Management Association , pp. 95-WA73A. 0.5
   Google Scholar
• Müller , U. , Kurte , R. and Heise , H. M. 1999 . Investigation of photometric errors in FTIR‐spectra obtained in open‐path monitoring . J. Mol. Struct. , 482–483 : 539 – 544 .
   Google Scholar
• Chakraborty , D. K. 1995 . Examination of the long‐path open‐air FTIR technique for air monitoring in the state of Kentucky . Proc. SPIE , 2365 : 347 – 359 . [CSA]
   Google Scholar
• Chaffin , C. T. and Marshall , T. L. 1999 . Using a gas cell to characterize FT‐IR air sensor performance . Proc. SPIE , 3537 : 69 – 78 .
   Google Scholar
• 1999 . Test/QA Plan for Verification of Optical Open‐Path Monitors, Environmental Technology Verification Program, Advanced Monitoring Systems Pilot Columbus, , USA : Battelle .
   Google Scholar
• Dubois , A. E. , Engle , J. W. , McKane , P. L. and Perry , S. H. 1996 . Open‐path FTIR quality assurance data: demonstration of technology reliability . Proc. SPIE , 2883 : 139 – 146 .
   Google Scholar
• Perry , S. H. , McKane , P. L. , Pescatore , D. E. , Dubois , A. E. and Kricks , R. J. 1996 . Maximizing the use of open‐path FTIR for 24‐hour monitoring around the process area of an industrial chemical facility . Proc. SPIE , 2883 : 333 – 344 .
   Google Scholar
• Russwurm , G. M. , Childers , J. W. , Thompson , E. L. Jr. and Audige , E. 1996 . Quality assurance aspects of FT‐IR data using a short cell and high concentrations of gases . Proc. SPIE , 2883 : 147 – 156 .
   Google Scholar
• Cone , A. L. , Farhat , S. K. and Todd , L. A. 1995 . Development of QA/QC performance standards for field use of open‐path FTIR spectrometers . Proc. SPIE , 2365 : 334 – 338 . [CSA]
   Google Scholar
• Sedlmaier , A. , Sussmann , R. and Schaefer , K. 1997 . Error analysis for different inversion techniques in low‐resolution FTIR spectrometry and its application to the investigation of trace gas variations . Proc. SPIE , 3107 : 103 – 113 .
   Google Scholar
• Russwurm , G. M. , Childers , J. W. and Thompson , E. L. 1995 . Diurnal variations of some atmospheric gases as measured by Fourier transform spectroscopy . Proc. SPIE , 2365 : 47 – 57 . [CSA]
   Google Scholar
• Childers , J. W. , Russwurm , G. M. and Thompson , E. L. 1995 . Quality assurance considerations in a long‐term FTIR monitoring program . Proc. SPIE , 2365 : 389 – 395 . [CSA]
   Google Scholar
• Childers , J. W. , Thompson , E. L. Jr. , Harris , D. H. , Kirchgessner , D. A. , Clayton , M. , Natschke , D. F. and Phillips , W. J. 2001 . Application of standardized quality control procedures to open‐path Fourier transform infrared data collected at a concentrated swine production facility . Environ. Sci. Technol. , 35 : 1859 – 1866 . [PUBMED] [INFOTRIEVE] [CROSSREF] [CSA]
   PubMedGoogle Scholar
• Lowry , S. R. , Klebba , R. E. and Roberts , J. P. 1995 . Direct comparisons of FTIR with conventional analyzers for the real‐time measurement of vehicle emissions . Proc. SPIE , 2365 : 106 – 116 . [CSA]
   Google Scholar
• Carter , R. E. , Lane , D. D. , Marotz , G. A. , Davis , M. F. , Hudson , J. L. , Chaffin , C. T. , Marshall , T. L. , Hammaker , R. M. and Fateley , W. G. 1995 . Estimation of VOC emission rates from FTIR measurements and whole‐air canister data . Proc. SPIE , 2365 : 230 – 242 . [CSA]
   Google Scholar
• David , P. A. , Pauls , R. E. and Baughman , E. H. 1995 . Measurement of the concentrations of volatile organic compounds within operating process units by open‐path FTIR . Proc. SPIE , 2365 : 25 – 36 . [CSA]
   Google Scholar
• Wolter , J. T. , Vigstol , D. J. and Stock , J. W. 2000 . Evaluation of the accuracy of lower‐flammability‐limit sensors with the use of field‐portable extractive Fourier transform infrared spectroscopy . Field Anal. Chem. Tech. , 4 : 62 – 69 .
   Google Scholar
• Lamp , T. , Ropertz , A. , Weber , K. , van Haren , G. and Fischer , A. 1999 . First results of ambient air measurements with different remote sensing systems over a lake in Germany . Proc. SPIE , 3534 : 162 – 173 .
   Google Scholar
• Stephens , R. D. , Mulawa , P. A. , Giles , M. T. , Kennedy , K. G. , Groblicki , P. J. and Cadle , S. H. 1996 . An experimental evaluation of remote sensing‐based hydrocarbon measurements: a comparison to FID measurements . J. Air Waste Manag. Assoc. , 46 : 148 – 157 .
   PubMedGoogle Scholar
• Chaffin , C. T. and Marshall , T. L. 1998 . Generating well‐characterized chemical plumes for remote sensing research . Proc. SPIE , 3383 : 113 – 123 .
   Google Scholar
• Lague , J. S. , Zwicker , J. O. and Feldman , H. 1995 . Objectives and strategies for a cooperative EPA/API field study . Proc. SPIE , 2365 : 469 – 480 . [CSA]
   Google Scholar
• Lague , J. S. , Zwicker , J. O. and Feldman , H. J. 1996 . Data produced by the EPA/API cooperative remote sensing/dispersion field study at Duke Forest, North Carolina in January, 1995 . Proc. SPIE , 2883 : 537 – 549 .
   Google Scholar
• Zwicker , J. O. 1996 . Intercomparison of data from open‐path Fourier transform infrared spectrometers collected during the EPA/API cooperative remote sensing/dispersion study at Duke forest, North Carolina January 9 to 27, 1995 . Proc. SPIE , 2883 : 550 – 567 .
   Google Scholar
• Lew , F. , Paine , R. J. , Zwicker , J. O. and Feldman , H. 1999 . Analysis of field data from the Duke forest and project OPTEX studies . Proc. SPIE , 3534 : 620 – 630 . [CSA]
   Google Scholar
• Keresztury , G. and Mink , J. 1996 . “ Spectroscopy, emission ” . In Encyclopedia of Pharmaceutical Technology Edited by: Swarbrick , J. and Boylan , J. C. Vol. 14 , 123 – 179 . New York, Basel, , Hong Kong : Marcel Dekker .
   Google Scholar
• Mink , J. , Keresztury , G. , Kristóf , J. and Mihály , J. 1998 . “ FT‐IR and FT‐Raman study of surfaces and thin layers ” . In Interfacial Science in Ceramic Joining NATO ASI Series, Edited by: Bellosi , A. , Kosmac , T. and Tomsia , A. P. Vol. 3/58 , 233 – 245 . Dordrecht/Boston/London : Kluwer Academic Publishers .
   Google Scholar
• Keresztury , G. 2000 . “ Emission spectroscopy, infrared ” . In Encyclopedia of Analytical Chemistry, Instrumentation and Applications Edited by: Meyers , R. A. 10750 – 10777 . Chichester : John Wiley & Sons .
   Google Scholar
• Mink , J. 2002 . “ Infrared emission spectroscopy ” . In Handbook of Vibrational Spectroscopy Edited by: Chalmers , J. M. and Griffiths , P. R. Vol. 2 , 1193 – 1214 . New York : Wiley .
   Google Scholar
• Heland , J. , Haus , R. and Schäfer , K. 1994 . Remote sensing and analysis of trace gases from hot aircraft engine plumes using FTIR emission spectroscopy . Sci. Total Environ. , 158 : 85 – 91 . [CROSSREF] [CSA]
   Google Scholar
• Chaffin , C. T. , Marschall , T. L. , Combs , R. J. , Knapp , R. B. , Kroutil , R. T. , Fateley , W. G. and Hammaker , R. M. 1995 . Passive Fourier transform infrared (FTIR) monitoring of SO3 in smokestack plumes: a comparison of remote passive spectra of an actual hot plume with emission spectra collected with a heatable cell . Proc. A&WMA SPIE , 2365 : 302 – 313 . [CSA]
   Google Scholar
• Hall , J. L. , Polak , M. L. and Herr , K. C. 1996 . Passive FTIR spectroscopy of chemical plumes: and algorithm for quantitative interpretation and real‐time background removal . Proc. SPIE , 2883 : 435 – 442 .
   Google Scholar
• Grim , L. B. , Gruber , T. C. and Ditillo , J. 1996 . Algorithm development for passive FTIR . Proc. A&WMA SPIE , 2883 : 443 – 454 .
   Google Scholar
• Beil , A. , Daum , R. , Harig , R. and Matz , G. 1998 . Remote sensing of atmospheric pollution by passive FTIR spectrometry . Proc. SPIE , 3493 : 32 – 43 . [CSA]
   Google Scholar
• Herve , P. , Riguet , A. , Caron , P. and Jacquot , O. 1998 . Gas plume characterisation by passive remote sensing . Proc. SPIE , 3493 : 247 – 254 . [CSA]
   Google Scholar
• Hinnrich , M. and Ynez , S. 1998 . Remote sensing for gas plume monitoring using state‐of‐the‐art infrared hyperspectral imaging . Proc. SPIE , 3534 : 370 – 381 .
   Google Scholar
• Combs , R. J. 1999 . Thermal stability evaluation for passive FTIR spectrometry . Field Anal. Chem. Tech. , 3 : 81 – 94 .
   Google Scholar
• Chaffin , C. T. , Marshall , T. L. Jr. and Chaffin , N. C. 1999 . Passive FTIR remote sensing of smokestack emissions . Field Anal. Chem. Tech. , 3 : 111 – 115 .
   Google Scholar
• Harig , R. and Matz , G. 2001 . Toxic cloud imaging by infrared spectroscopy: a scanning FTIR system for identification and visualization . Field Anal. Chem. Tech. , 5 : 75 – 90 . [CROSSREF]
   Web of Science ®Google Scholar
• Clongh , S. A. , Kneizys , F. X. , Chetwind , J. H. Jr. , Worksham , R. D. , Dhettle , E. P. , Abreu , L. W. and Hoke , M. L. 1993 . FASCODE: Fast Atmospheric Signature Code
   Google Scholar
• Kneizys , F. X. , Shettle , E. P. , Abreu , L. W. , Chetwynd , J. H. , Anderson , G. P. , Gallery , W. O. , Selby , J. E.A. and Clough , S. A. 1988 . Users Guide to LOWTRAN 7, AFGL‐TR‐88‐0177, (NTIS AD A206773)
   Google Scholar
• Revercomb , H. E. , Buij , H. , Howell , H. B. , LaPorte , D. D. , Smith , W. L. and Stromovsky , L. A. 1988 . Radiometric calibration of IR Fourier transform spectrometers: solution to a problem with high resolution interferometer sounder . Appl. Opt. , 27 : 3210 – 3218 .
   PubMed Web of Science ®Google Scholar
• Flanigan , D. F. 1996 . Prediction of limits of detection of hazardous vapours by passive infrared with the use of MODTRAN . Appl. Opt. , 35 : 6090 – 6098 .
   PubMed Web of Science ®Google Scholar
• Gruber , T. C. Jr. , Grim , L. B. and Ditillo , J. 1996 . Quality assurance measurements for passive FTIR data collection . Proc. SPIE , 2883 : 157 – 166 .
   Google Scholar
• Small , G. W. , Kroutil , R. T. , Ditillo , J. T. and Loerop , W. R. 1998 . Detection of atmospheric pollutants by direct analysis of passive Fourier transform infrared interferograms . Anal. Chem. , 60 : 264 – 269 .
   Google Scholar
• Shaffer , R. E. , Small , G. W. , Combs , R. J. , Knapp , R. B. and Kroutil , R. T. 1995 . Experimental design protocol for the pattern recognition analysis of bandpass filtered Fourier transform infrared interferograms . Chemometr. Intell. Lab. , 29 : 89 – 108 . [CROSSREF]
   Google Scholar
• Bangalore , A. S. , Small , G. W. , Combs , R. J. , Knapp , R. B. , Kroutil , R. T. , Traynor , C. A. and Ko , J. D. 1997 . Automated detection of trichloroethylene by Fourier transform infrared remote sensing measurements . Anal. Chem. , 69 : 118 – 129 . [CROSSREF]
   Google Scholar
• Cingo , N. A. and Small , G. W. 1999 . Effects on bandwidth and overlap on multivariate calibration models based on simulated Fourier transform infrared interferogram data . Appl. Spectrosc. , 53 : 1556 – 1566 . [CROSSREF]
   Google Scholar
• Shaffer , R. E. and Combs , R. J. 2001 . Comparison of spectral and interferogram processing methods using simulated passive Fourier transform infrared remote sensing data . Appl. Spectrosc. , 55 : 1404 – 1413 . [CROSSREF]
   Google Scholar
• Shaffer , R. E. 1999 . Signal processing strategies for passive FT‐IR remote sensing . Proc. SPIE , 3856 : 12 – 23 .
   Google Scholar
• Shaffer , R. E. and Combs , R. J. 1999 . “ Software for generation synthetic passive Fourier transform infrared interferograms and single beam spectra ” . In NRL Memorandum Report 6110‐92‐8342 (AD‐A360501) Washington, D.C. : Naval Research Laboratory .
   Google Scholar
• Zhang , L. and Small , G. W. 2002 . Automated detection of chemical vapors by pattern recognition analysis of passive multispectral infrared remote sensing imaging data . Appl. Spectrosc. , 56 : 1082 – 1093 . [CROSSREF]
   Google Scholar
• Kroutil , R. T. , Combs , R. J. , Knapp , R. B. and Godfrey , J. P. 1996 . Infrared interferogram analysis for ammonia detection with passive FTIR spectrometry . Proc. SPIE , 2763 : 86 – 102 .
   Google Scholar
• Kagan , R. H. , Walter , W. T. , Wang , C. D. , Kotter , D. K. and McManus , G. J. 1995 . Field test on signal processing methods for passive FTIR remote sensing measurements . Proc. SPIE , 2366 : 263 – 270 .
   Google Scholar
• Zhang , J. , Zhen , X. and Xun , Y. 1998 . Passive Fourier‐transform infrared spectroscopy monitoring of environmental pollutions . Proc. SPIE , 3505 : 94 – 101 .
   Google Scholar
• Kroutil , R. T. , Combs , R. J. and Knapp , R. B. 2002 . Airborne passive FT‐IR spectrometry . Proc. SPIE , 4547 : 213 – 225 .
   Google Scholar
• Knapp , R. B. , Combs , R. J. and Kroutil , R. T. 2002 . Ground‐based passive FT‐IR spectrometry . Proc. SPIE , 4577 : 269 – 286 .
   Google Scholar
• Shaffer , R. E. and Combs , R. J. 1998 . Signal processing strategies for passive FT‐IR sensors . Proc. SPIE , 3383 : 92 – 103 .
   Google Scholar
• Bangalore , A. S. , Demirgian , J. C. , Boparai , A. S. and Small , G. W. 1999 . Effect of spectral resolution on pattern recognition analysis using passive Fourier transform infrared sensor data . Appl. Spectrosc. , 53 : 1382 – 1391 . [CROSSREF]
   Google Scholar
• Mattu , M. J. , Small , G. W. , Combs , R. J. , Knapp , R. B. and Kroutil , R. T. 2000 . Quantitative analysis of sulphur dioxide with passive Fourier transform infrared remote sensing interferogram data . Appl. Spectrosc. , 54 : 341 – 348 . [CROSSREF]
   Google Scholar
• Koefiler , F. W. IV , Small , G. W. , Combs , R. J. , Knapp , R. B. and Kroutil , R. T. 2000 . Calibration transfer in the automated detection of acetone by passive Fourier transform infrared spectrometry . Appl. Spectrosc. , 54 : 206 – 714 .
   Google Scholar
• Lachance , R. L. , Theriault , J. M. and Claude , V. A. 1998 . Gaseous emanation detection algorithm using Fourier transform interferometer operating in differential mode . Proc. SPIE , 3383 : 124 – 132 .
   Google Scholar
• Hall , J. L. , Polak , M. L. and Herr , K. C. 1996 . Passive FTIR spectroscopy of chemical plumes: an algorithm for quantitative interpretation and real‐time background removal . Proc. SPIE , 2883 : 435 – 442 .
   Google Scholar
• Tank , V. 1999 . Spectrometric hot gas remote sensing—investigation on calibration errors . J. Mol. Struct. , 482–483 : 545 – 550 .
   Google Scholar
• Clausen , S. and Bak , J. 1999 . FTIR transmission–emission spectroscopy of gases at high temperatures: experimental set‐up and analytical procedures . J. Quant. Spectrosc. Ra. , 61 : 131 – 141 .
   Google Scholar
• Heland , J. , Haus , R. and Schäfer , K. 1994 . Remote sensing and analysis of trace gases from hot aircraft engine plumes using FTIR–emission‐spectroscopy . Sci. Total Environ. , 158 : 85 – 91 . [CROSSREF] [CSA]
   Google Scholar
• Heland , J. , Schäfer , K. and Haus , R. 1995 . FTIR–emission‐spectroscopy and modelling of radiative transfer through a layered plume: analysis of aircraft engine exhaust . Proc. SPIE , 2365 : 117 – 125 . [CSA]
   Google Scholar
• Heland , J. , Schäfer , K. and Haus , R. 1995 . Remote sensing and gas analysis of aircraft exhaust using FTIR emission spectroscopy . Proc. SPIE , 2056 : 62 – 71 .
   Google Scholar
• Jacquot , O. and Herve , P. 1998 . Determination of the temperature fields in exhaust gases by infrared spectroscopy . Proc. SPIE , 3493 : 71 – 78 . [CSA]
   Google Scholar
• Marran , D. F. , Cosgrove , J. E. , Neira , J. , Markham , J. R. , Strange , R. R. and Rutka , R. S. 2001 . Turbine engine exhaust gas measurements using in‐situ FT‐IR emission/transmission spectroscopy . Proc. SPIE , 4201 : 118 – 127 .
   Google Scholar
• Lechner , B. , Paar , H. and Sturm , P. J. 2001 . Measurement of VOCS in vehicle exhaust by extractive FTIR spectroscopy . Proc. SPIE , 4169 : 432 – 439 .
   Google Scholar
• Heland , J. , Schäfer , K. and Haus , R. 1998 . Investigation of hot exhaust gases with passive FTIR emission spectroscopy . SPIE , 3493 : 2 – 10 .
   Google Scholar
• Schäfer , K. , Haus , R. , Heland , J. and Haak , A. 1995 . Measurement of atmospheric trace gases by emission and absorption spectroscopy with FTIR . Ber. Bunsen. Phys. Chem. , 99 : 405 – 411 .
   Google Scholar
• Schäfer , K. , Haus , R. and Heland , J. 1994 . “ Measurements with FTIS‐MAPS environmental monitoring and assessment ” . In Inspection of Non‐CO₂ Greenhouse Gases from Emission Sources and Ambient Air by Fourier‐Transform Spectroscopy Edited by: van Ham , J. , Jeusen , L. J.M. and Swart , R. J. Vol. 31 , 191 – 196 . Dordrecht, , The Nederland's : Kluwer Academic Publishers .
   Google Scholar
• Lindermeir , E. , Haschberger , P. and Geatches , R. M. 1998 . Evaluation procedure for nonintrusive exhaust gas analysis of jet engines using FTIR spectroscopy . Proc. SPIE , 3493 : 44 – 55 . [CSA]
   Google Scholar
• Thériault , J. M. , Bradette , C. and Moreau , L. 2000 . Passive remote monitoring of chemical vapors with a Fourier transform infrared spectrometer . Proc. SPIE , 4087 : 962
   Google Scholar
• Polak , M. L. , Hall , J. L. and Herr , K. C. 1995 . Passive Fourier‐transform infrared spectroscopy of chemical plumes: an algorithm for quantitative interpretation and real‐time background removal . Appl. Opt. , 34 : 5406 – 5412 .
   PubMedGoogle Scholar
• Polak , M. L. , Hall , J. L. , Scherer , G. J. and Kenneth , C. 1996 . Passive FTIR remote sensing of chemical plumes: quantitative applications to chemical releases and industrial effluents . Proc. SPIE , 2883 : 52 – 61 .
   Google Scholar
• Bak , J. and Clausen , S. 2002 . FTIR emission spectroscopy methods and procedures for real time quantitative gas analysis in industrial environments . Meas. Sci. Technol. , 13 : 150 – 156 . [CROSSREF] [CSA]
   Google Scholar
• Clausen , S. and Bak , F. 2002 . Hot gas facility for high‐temperature spectrometry . Meas. Sci. Technol. , 13 : 1223 – 1229 . [CROSSREF] [CSA]
   Google Scholar