Back to Search Start Over

Correlation between SO 2 emissions rate and S contained in fuel used in a power plant, Noumea, New Caledonia

Authors :
Thierry Hoibian
Michel Lardy
Philipson Bani
Michel Allenbach
Clive Oppenheimer
Isabelle Rouet
V. I. Tsanev
Laboratoire Magmas et Volcans (LMV)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Jean Monnet - Saint-Étienne (UJM)-Institut de Recherche pour le Développement et la société-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de Physique du Globe de Clermont-Ferrand (OPGC)
Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)
Université de la Nouvelle-Calédonie (UNC)
Source :
Asia-Pacific Remote Sensing, Asia-Pacific Remote Sensing, Dec 2008, Noumea, New Caledonia. pp.71490Y, ⟨10.1117/12.804902⟩
Publication Year :
2008
Publisher :
SPIE, 2008.

Abstract

SO 2 emissions from fossil fuel power plants can have significant impacts on human health and ecosystems. Consequently, numerous techniques are in use to monitor these emissions, in order to comply with environmental legislations. Here we highlight the correlation between SO 2 emissions rate and the S contained in fuel used in power plant. We obtained a maximum of 1.3 kg.s -1 of SO 2 emissions rate and a minimum of 0.4 kg.s -1 corresponding respectively to 2.9 % and 1.2 % of S contained in fuel. Measurements also indicate that high concentration of S O2 released from the Noumea 121 MW power plant is rapidly diluted in the first 10 minutes, corresponding to 3-4 km distance from the source downwind. Thus inhabitants living within the 3-4 km radius are potentially exposed to power plant emissions.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II
Accession number :
edsair.doi.dedup.....994b4d9020ee68dae4bf7e0aee5f8af6
Full Text :
https://doi.org/10.1117/12.804902