The Assessment of SO2 Emitted into Atmosphere by the Pyrometallurgical Complex of Ghazaouet (NW, Algeria)

  • B. DahmaniEmail author
  • F. Hadji
  • L. Benaabidate
Part of the Environmental Science and Engineering book series (ESE)


Hazardous chemicals escape to the environment by a number of anthropogenic activities. Air pollution has both acute and chronic effects on human health, affecting a number of different systems and organs. Ghazaouet city homes a Metallurgical company (En-Metanof) producing zinc by pyrometallurgical process. This coastal city, in which winds are of NW and NE directions, is surrounded by cliffs. The soil and atmospheric environments in the area of the city are polluted by SO2 gases and aerosols issued by the main stack of the plant.

The maximum content of SOX that can be diffused into the atmosphere by the main stack must be less than 0.156%. Thus, the SO2 gases content of 120 samples taken on the ground were analyzed. These measures were classified in four stations installed according to winds directions in relation of Gauss law. SO2 contents were analyzed by the specific and well adapted method using sodium tetrachloromercurate. This method allows the measurement of very low contents of sulphur dioxide (lower than 100 μg/m3), during the very short periods of sampling (5 min to 6 h).

The interpretation of obtained results showed that concentrations of five samples taken at station S1 of the network sampling are higher than the EU standards. A maximum of 185 μg/m3; on a sampling period of 3 h 51 min, was recorded. Other theoretical, derived from simulations, and experiments results are below the raised standards. These contents are between 100–150 μg/m3 in 24 h and 40–60 μg/m3 for a year.

Adequate production and regular maintenance of plant installations would avoid fluctuations in gaseous rejections, which require a stable production of the metallurgical complex; consequently pollution is minimized and situated below the international standards whatever the meteorological conditions.


Sulphur Dioxide Lung Cancer Mortality Electrostatic Precipitator Vanadium Pentoxide Plume Height 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Anghel CI, Ozunu A (2006) Prediction of gaseous emissions from industrial stacks using an artificial intelligence method. Institute of Chemistry, Slovak Academy of Sciences, BratislavaGoogle Scholar
  2. Beeson WL, Abbey DE, Knutsen SF (1998) Long-term concentrations of ambient air pollutants and incident lung cancer in California adults: results from the AHSMOG study. Adventist Health Study on Smog. Environ Health Perspect 106(12):813–823CrossRefGoogle Scholar
  3. Calder CA (2007) Dynamic factor process convolution models for multivariate space–time data with application to air quality assessment. Environ Ecol Stat 14(3)Google Scholar
  4. Dahmani B (1988) Etude de traitement des gaz du grillage des blendes «ZnS» du complexe de métaux non-ferreux «EN-METANOF» et leur diffusion dans l’atmosphère. Thèse de Magister de l’Université de Tlemcen, AlgeriaGoogle Scholar
  5. Dahmani B (1997) Protection de l’environnement du site de Ghazaouet. Ghazaouet IIIèmes Entretiens Médicaux d’ad Fraters; Santé et Environnement. 26 Juin 1997Google Scholar
  6. Doll R, Peto R (1981) The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. J Natl Cancer Inst 66:119–1308Google Scholar
  7. Doury A (1972) Une méthode de calcul pratique et générale pour la prévision numérique des pollutions véhiculées par l’atmosphère. Rapport CEA-R-4280. Centre d’Etude, Sous direction des EssaisGoogle Scholar
  8. Dulal P, Sinha DK (1992) A dispersion model on air pollution: chemical kinetic approach for conversion of pollutants. Int J Environ Stud 40(1):55–66CrossRefGoogle Scholar
  9. Larsen RI (1969) A new mathematical model of air pollutant concentration averaging time and frequency. JAPACA 19(N1):24–30Google Scholar
  10. Larsen RI, Zimmer CE, Lynn DA, Blemel KG (1967) Analyzing air pollutant concentration and dosage data. JAPACA 17(N17):85–93Google Scholar
  11. Magnuz E (2001) Sulphur simulations for East Asia using the match model with meteorological data from ECMWF water, air, & soil pollution 130(1–4)Google Scholar
  12. Perrino C, Catrambone M, Esposito G, Lahav D, Mamane Y (2009) Characterisation of gaseous and particulate atmospheric pollutants in the East Mediterranean by diffusion denuder sampling lines. Environ Monit Assess 152(1–4)/may 2009Google Scholar
  13. Viswanadham DV, Santosh KR (1990) On the application of the Gaussian model for multiple industrial sources for selected centres in South India. Bound-Layer Meteorol 53(1–2):173–184CrossRefGoogle Scholar
  14. Young KJ, Jung WK (1985) Total SO2 emission control strategies for the management of air pollution in Ulsan industrial complex. In: International conference on atmospheric sciences and applications to air quality, vol. 1. Atmos Environ (1987), 21(3):469–477Google Scholar
  15. Zimmer CE, Larsen RI (1965) Calculating air quality and its control. JAPACA 15(12):565–572Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Laboratory of Spectrochemistry and Structural Pharmacology, Faculty of SciencesUniversity of TlemcenTlemcenAlgeria
  2. 2.Department of Earth Sciences, Faculty of SciencesUniversity of TlemcenTlemcenAlgeria
  3. 3.Laboratory of Georesources and EnvironmentFaculty of Sciences and Technology of FezFezMorocco

Personalised recommendations