Experimental investigation and mathematical modeling for microbial removal using potassium permanganate as an oxidant—case study: water treatment plant No. 1, Mashhad, Iran

  • Mohammad Gheibi
  • Nima Emrani
  • Mohammad EftekhariEmail author
  • Mehran Akrami
  • Javad Abdollahi
  • Mahmood Ramezani
  • Alireza Sedghian


Preoxidation is an important unit process which can partially remove organic and microbial contaminations. Due to the high concentrations of organic matter entering the water treatment plant, originating from surface water resources, preoxidation by using chlorinated compounds may increase the possibility of trihalomethane (THM) formation. Therefore, in order to reduce the concentration of THMs, different alternatives such as injection of potassium permanganate are utilized. The present study attempts to investigate the efficiency of the microbial removal from raw water entering the water treatment plant No. 1 in Mashhad, Iran, through various doses of potassium permanganate. Then, an examination of the predictive models is done in order to indicate the residual Escherichia coli and total coliform resulted from injecting the potassium permanganate. Finally, the coefficients of the proposed models were optimized using the genetic algorithm. The results of the study show that 0.5 mg L−1 of potassium permanganate would remove 50% of total coliform as well as 80% of Escherichia coli in the studied water treatment plant. Also, assessing the performance of different models in predicting the residual microbial concentration after injection of potassium permanganate suggests the Gaussian model as the one resulting the highest conformity. Moreover, it can be concluded that employing smart models leads to an optimization of the injected potassium permanganate at the levels of 27% and 73.5%, for minimum and maximum states during different seasons of a year, respectively.


Escherichia coli Optimization Oxidant Potassium permanganate Total coliform 



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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Mohammad Gheibi
    • 1
  • Nima Emrani
    • 1
  • Mohammad Eftekhari
    • 2
    Email author
  • Mehran Akrami
    • 1
  • Javad Abdollahi
    • 1
  • Mahmood Ramezani
    • 3
  • Alireza Sedghian
    • 1
  1. 1.Department of Civil and Environmental EngineeringFerdowsi University of MashhadMashhadIran
  2. 2.Department of Chemistry, Faculty of SciencesUniversity of NeyshaburNeyshaburIran
  3. 3.Department of Mechanical EngineeringIslamic Azad UniversityMashhadIran

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