مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

62
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Quality Detection Sensors Location in Water Distribution Networks for Uncertain Water Demand Conditions

Pages

  757-768

Abstract

 Accidental or intentional entry of pollution into water distribution networks as one of the vital life lines of any country, causes extensive damage in society. Early detection and warning of contaminant injection in the water distribution network is of significant importance. In order to optimize the location of Quality sensors, this study presents a new algorithm based on Uncertainty in pollution entry location and time and water demands. For the first time, this study presents a bi-objective algorithm using the results of single-objective PSO optimization simultaneously for one of the NSGA-Ⅱ,constraints based on water requirement Uncertainty by the Minimax method and robust approach. The two goals are to minimize the maximum possible damage caused by the Contaminated water consumed and to minimize the cost of sensor preparation and installation. In this study, considering three scenarios (S1, S2 and S3), arsenic injection with concentrations of 50, 100 and 150 mg / l from different nodes and in different time steps are investigated. The results of the developed model on a reference network reveal that in each of the three injection rate scenarios S1, S2 and S3, the installation of only one sensor reduces the damage by 75, 70 and 61%, respectively. Also, the entry of pollution from 19: 00 and 20: 00 leads to a critical scenario. Although, the location of the sensors depends on the concentration of the injected contaminant, the highest repeated location in the generated responses was found in nodes 5, 17, and 19. The proper formation of the Pareto front in all three scenarios of injection rate showed that for all parameters with Uncertainty, the robust approach generates justified responses with a minimum deviation of the objective function from its optimal value.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    JAFARI, H., & RAJAEE, T.. (2021). Quality Detection Sensors Location in Water Distribution Networks for Uncertain Water Demand Conditions. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 15(4 ), 757-768. SID. https://sid.ir/paper/1054358/en

    Vancouver: Copy

    JAFARI H., RAJAEE T.. Quality Detection Sensors Location in Water Distribution Networks for Uncertain Water Demand Conditions. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2021;15(4 ):757-768. Available from: https://sid.ir/paper/1054358/en

    IEEE: Copy

    H. JAFARI, and T. RAJAEE, “Quality Detection Sensors Location in Water Distribution Networks for Uncertain Water Demand Conditions,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 15, no. 4 , pp. 757–768, 2021, [Online]. Available: https://sid.ir/paper/1054358/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button