Prediction of H2S production rate in sewer systems using the Z model: a case study in Dehloran city, Iran

Document Type : Original Article

Authors

1 Department of Environmental Engineering, Khouzestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran

2 Department of Water Science, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran

3 Environmental and Occupational Health Center, Ministry of health and medical education, Tehran, Iran

4 Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

5 Ph.D. of environmental Health Engineering, Kerman University of Medical Sciences, Kerman, Iran

Abstract

Modeling of H2S buildup in sewers is performed due to the health problems associated with the high concentration of H2S, destruction of non-resistant structures in corrosion processes, and high costs of repairing corroded concrete sewer pipes. This analytical study aimed to predict the risk of H2S production in the sewage collection network of Dehloran city, Iran using the Z model. In total, 11 main sewage lines with various diameters were selected for wastewater sampling. For each pipeline, two samples per month were collected and processed for the analysis of various parameters in order to determine the H2S production based on the Z value. Biochemical oxygen demand, chemical oxygen demand, and SO4-2 values in warm seasons were 117, 291, and 251 mg/l, while they were 101, 247, and 234 mg/l in cold seasons, respectively. In all the samples, the Z value was >13,000. In addition, the Z level was higher in warm seasons (Z value in guaranteed H2S production category) compared to cold seasons (Z value in a large possibility of H2S production category), which could be due to the high temperature and anaerobic decomposition of organic matter in summer. A significant correlation was also observed between the Z value in different seasons and various diameters of the sewers. Considering the high risk of H2S production, it is recommended that proper scheming and planning be performed to eliminate this gas and prevent corrosion.

Keywords

References

1. Jegatheesan V, Abdikheibari S, Marleni N, Phelan S, Park K, Bagshaw S, et al. Estimating hydrogen sulphide dissipation rate constant under the influence of different chemical dosing. Int Biodeterior Biodegradation 2015; 101: 47-55.
2. Nielsen AH, Vollertsen J, Jensen HS, Wium-Andersen T, Hvitved-Jacobsen T. Influence of pipe material and surfaces on sulfide related odor and corrosion in sewers. Water Res 2008; 42(15): 4206-4214.
3. Somma R, Granieri D, Troise C, Terranova C, De Natale G, Pedone M. Modelling of hydrogen sulfide dispersion from the geothermal power plants of Tuscany (Italy). Sci Total Environ 2017; 583: 408-420.
4. Yin R, Fan C, Sun J, Shang C. Oxidation of iron sulfide and surface-bound iron to regenerate granular ferric hydroxide for in-situ hydrogen sulfide control by persulfate, chlorine and peroxide. Chem Eng J 2018; 336: 587-594.
5. WHO. Hydrogen Sulfide: Human Health Aspects, Concise International Chemical Assessment Document n.: Geneva; 2003. p. 53, 35 pp.
6. Jiang G, Keller J, Bond PL. Determining the long-term effects of H2S concentration, relative humidity and air temperature on concrete sewer corrosion. Water Res 2014; 65: 157-169.
7. Zhang L, De Schryver P, De Gusseme B, De Muynck W, Boon N, Verstraete W. Chemical and biological technologies for hydrogen sulfide emission control in sewer systems: a review. Water Res 2008; 42(1-2): 1-12.
8. Lin H-W, Kustermans C, Vaiopoulou E, Prévoteau A, Rabaey K, Yuan Z, et al. Electrochemical oxidation of iron and alkalinity generation for efficient sulfide control in sewers. Water Res 2017; 118: 114-120.
9. Sun J, Ni B-J, Sharma KR, Wang Q, Hu S, Yuan Z. Modelling the long-term effect of wastewater compositions on maximum sulfide and methane production rates of sewer biofilm. Water Res 2018; 129: 58-65.
10. Miljø DWEDIFV. MOUSE TRAP Technical Reference Water Quality Module. DHI Water & Environment/DHI – Institut for Vand & Miljø.
11. Lin H-W, Lu Y, Ganigué R, Sharma KR, Rabaey K, Yuan Z, et al. Simultaneous use of caustic and oxygen for efficient sulfide control in sewers. Sci Total Environ 2017; 601: 776-783.
12. Joseph AP, Keller J, Bustamante H, Bond PL. Surface neutralization and H2S oxidation at early stages of sewer corrosion: influence of temperature, relative humidity and H2S concentration. Water Res 2012; 46(13): 4235-4245.
13. Nadafi K, Fazlzadeh Davil M, Mahvi A, Younesian M, Nabizadeh R, Mazloomi S. Measurement of H2S and ORP in Ray Main Sewers. J Water Wastewater 2010; 21(4): 13-19.
14. Sharma KR, Yuan Z, De Haas D, Hamilton G, Corrie S, Keller J. Dynamics and dynamic modelling of H2S production in sewer systems. Water Res 2008; 42(10-11): 2527-2538.
15. Vollertsen J, Nielsen AH, Jensen HS, Wium-Andersen T, Hvitved-Jacobsen T. Corrosion of concrete sewers—the kinetics of hydrogen sulfide oxidation. Sci Total Environ 2008; 394(1): 162-170.
16. Azimi Galibaf E, Khodashenas S, Ghorbani E, Saeb K. Methods of controlling Hydrogen Sulfide production and emission in seweragee. Journal of Water and Sustainable Development 2016; 2(2): 43-50.
17. Azimi Ghalibaf E, Khodashenas S, Ghorbani E. Methods of Prediction Sulfide Production in Sewerage. Journal of Water and Sustainable Development 2017; 3(2): 72-63.
18. Pomeroy RD, Bowlus F. Progress report on sulfide control research. Sewage Works J 1946; 18: 597-640.
19. Alani A M, Faramarzi A, Mahmoodian M, Tee K F. Prediction of sulphide build-up in filled sewer pipes. Environ Technol 2014;35:1721-1728.
Journal of Advances in Environmental Health Research
Volume 6, Issue 3
July 2018
Pages 152-159

Files

Share

How to cite

Statistics