Skip to main content
Log in

Modeling of Residual Chlorine on Addis Ababa Water Supply Distribution Systems

  • Original Paper
  • Published:
Water Conservation Science and Engineering Aims and scope Submit manuscript

Abstract

Most developing countries especially sub-Saharan countries like Ethiopia struggle with poor drinking water quality problems. Hence, this research was conducted to model residual chlorine in the Arada sub-city supply system by using Water CAD \({V}_{8}\) program. The primarily collected data were existing chlorine concentration, bacteriological water quality, pH, and turbidity from thirty-two sample points. Sample points were taken from the water source, treatment plant, storage facilities, distribution network, and points of use. To identify the main problem and optimize the distribution system, the residual chlorine model was developed at the initial concentration under three different scenarios. Scenarios I: residual chlorine at the low hour and peak hour demand, scenario II: effects of old pipe, and scenario III: pressure on the oversized and undersized pipes. Hence, optimizing those scenarios were done by establishing additional chlorine injection point. The study result shows that the residual chlorine concentration was less than the minimum recommended WHO standards of 0.2 mg/L in a remote area and above the maximum recommended value 0.5 mg/L near the treatment plant. Bacteriological analysis showed that 31.4% of the sample point’s level of TC and FC were higher than the maximum permissible limit when compared to the values set by WHO due to the high chlorine demand of the wall decay rate and bulk decay rate. Therefore, there is a critical need to improve the efficiency of chlorination in the distribution system. The above scenario was improved residual chlorine efficiency but more best at low hour consumption scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data Availability

All data generated and analyzed during this study are included in this published article.

References

  1. Ostad-ali-askari K, Shayannejad M, Ghorbanizadeh-kharazi H (2021) “Artificial neural network for modeling nitrate pollution of groundwater in artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran,” no. May, 2021

  2. Mekonnen DK (2015) “The effect of distribution systems on household drinking water quality in Addis Ababa, Ethiopia, and Christchurch, New Zealand. A thesis submitted in partial fulfilment of the requirements for

  3. Javadinejad S, Ostad-ali- K, Jafary F (2019) “Regulation and to optimize the quantity networks,” vol. 5, no. 3, pp. 1015–1023

  4. Khan MA, Mohammad A, Ahmad A (2017) “Assessment of microbial quality in household water tanks in Dubai, United Arab Emirates,” vol. 22, no. 1, pp. 55–60

  5. Ostad-ali-askari K, Shayan M (2021) “Subsurface drain spacing in the unsteady conditions by HYDRUS-3D and artificial neural networks subsurface drain spacing in the unsteady conditions by HYDRUS-3D and artificial neural networks,” no. March 2022, pp. 0–14

  6. Martin RL et al., (2020) Chlorine disinfection of Legionella spp ., L. pneumophila, and Acanthamoeba under warm water premise plumbing conditions

  7. Fatahi R et al (2021) Eco-hydrologic stability zonation of dams and power plants using the combined models of SMCE and CEQUALW2. Appl Water Sci 11(7):1–7

    Google Scholar 

  8. Kim H, Baek D, Kim S (2017) Chlorine decay in pipeline systems under sequential transients based on probability density function. Desalin Water Treat 99:196–203

    Article  CAS  Google Scholar 

  9. Patel RVGHM (2015) “Analysis of residual chlorine in simple drinking water distribution system with intermittent water supply,” pp. 311–319

  10. Abdul RM, Mutnuri L, Dattatreya PJ, Mohan DA (2012) “Assessment of drinking water quality using ICP-MS and microbiological methods in the Bholakpur area, Hyderabad, India,” pp. 1581–1592

  11. Fitaye SM (2015) “Hydraulic modeling and improvement of Addis Ababa water supply system (the case of Bole Bulbula)

  12. Kępa U, Stańczyk-mazanek E (2014) “A hydraulic model as a useful tool in the operation of a water-pipe network,” vol. 23, no. 3, pp. 995–1001

  13. Schober P, Boer C (2018) “Correlation coefficients: appropriate use and interpretation,” no. August

Download references

Acknowledgements

The research was implemented under a collaborative partnership with the Africa Center of Excellence (ACE) so the authors would like to thank these organizations for the financial and other support during this work. We also acknowledge the anonymous reviewers, whose comments greatly improved the paper.

Author information

Authors and Affiliations

Authors

Contributions

T.Y. conceived and developed the research framework. T.Y., M.A., and T.D. undertook the data processing and analysis. T.D., G.M., and S.E. wrote and revised the manuscript. A.A. supervised and revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Girum Metaferia.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yimer, T., Desale, T., Asmare, M. et al. Modeling of Residual Chlorine on Addis Ababa Water Supply Distribution Systems. Water Conserv Sci Eng 7, 443–452 (2022). https://doi.org/10.1007/s41101-022-00153-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41101-022-00153-0

Keywords

Navigation