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Volumn 37, Issue 8, 2002, Pages 1453-1462

Monitoring leaking gases by OP-FTIR remote sensing

Author keywords

Gas monitoring; OP FTIR; Remote sensing

Indexed keywords

AIR POLLUTION; FOURIER TRANSFORM INFRARED SPECTROSCOPY; HAZARDS; MONITORING; NEURAL NETWORKS; REMOTE SENSING; VOLATILE ORGANIC COMPOUNDS;

EID: 0036379662     PISSN: 10934529     EISSN: None     Source Type: Journal    
DOI: 10.1081/ESE-120013269     Document Type: Article
Times cited : (25)

References (8)
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    • Hashmonay, R.A.1    Yost, M.G.2    Wu, C.F.3
  • 2
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    • Air monitoring by spectroscopic techniques
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    • Sigrit, M.W.1
  • 3
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    • Stationary and time-dependent indoor tracer-gas concentration profiles measured by OP-FTIR remote sensing and SBFM computed tomography
    • Drescher, A.C.; Park, D.Y.; Yost, M.G.; Gadgil, A.J.; Nazaroff, W.W. Stationary and Time-Dependent Indoor Tracer-Gas Concentration Profiles Measured by OP-FTIR Remote Sensing and SBFM Computed Tomography. Atmospheric Environment 1997, 31, 727-740.
    • (1997) Atmospheric Environment , vol.31 , pp. 727-740
    • Drescher, A.C.1    Park, D.Y.2    Yost, M.G.3    Gadgil, A.J.4    Nazaroff, W.W.5
  • 4
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    • Optical remote sensing for air pollutants - Review
    • Simonds, M.; Xiao, H.; Levine, S.P. Optical Remote Sensing for Air Pollutants-Review. Am. Ind. Hyg. Ass. J. 1994, 55, 953-965.
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    • Simonds, M.1    Xiao, H.2    Levine, S.P.3
  • 5
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    • Trends and future applications of optical remote sensing and computed tomography to map air contaminants
    • Todd, L.A.; Yost, M.G.; Hashmonay, R.A. Trends and Future Applications of Optical Remote Sensing and Computed Tomography to Map Air Contaminants. SPIE 1998, 3534, 399-404.
    • (1998) SPIE , vol.3534 , pp. 399-404
    • Todd, L.A.1    Yost, M.G.2    Hashmonay, R.A.3
  • 6
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    • Simulation study for gaseous fluxes from an area source using computed tomography and optical remote sensing
    • Hashmonay, R.A.; Yost, M.G.; Harris, D.B.; Thompson, E.L. Simulation Study for Gaseous Fluxes from an Area Source Using Computed Tomography and Optical Remote Sensing. SPIE 1998, 3534, 405-410.
    • (1998) SPIE , vol.3534 , pp. 405-410
    • Hashmonay, R.A.1    Yost, M.G.2    Harris, D.B.3    Thompson, E.L.4
  • 7
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    • Artificial neural network and its application to analytical chemistry
    • Li, Y.; Wang, J.D.; Meng, G.Z. Artificial Neural Network and Its Application to Analytical Chemistry. Chinese Spectroscopy and Spectral Analysis 1999, 19, 844-849.
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  • 8
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    • Simultaneous determination of multicomponents in air toxic organic compounds using artificial neural networks in FTIR spectroscopy
    • Li, Y.; Yang, S.L.; Wang, J.D.; Gu, B.H.; Liu, F. Simultaneous Determination of Multicomponents in Air Toxic Organic Compounds Using Artificial Neural Networks in FTIR Spectroscopy. Spectrosc. Lett. 1999, 32, 421-429.
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    • Li, Y.1    Yang, S.L.2    Wang, J.D.3    Gu, B.H.4    Liu, F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.