IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v39y2025i4d10.1007_s11269-024-04051-z.html
   My bibliography  Save this article

Water Quality Management using Federated Deep Learning in Developing Southeastern Asian Country

Author

Listed:
  • Bhagwan Das

    (Torrens University)

  • Amr Adel

    (Torrens University)

  • Tony Jan

    (Torrens University)

  • M. D. Wahiduzzaman

    (Torrens University)

Abstract

Machine learning (ML) has become a key technology for addressing water quality issues. In this study, we present the application of machine learning for real-time water quality management in a remote village located in Sindh, Pakistan. We conducted two experiments using IoT infrastructure. The first experiment utilized traditional ML models for data analysis, while the second employed the proposed Federated Deep Learning (FDL) framework. The aim was to compare the performance and efficiency of the two approaches in handling data from the IoT sensors. The IoT system is composed of a sensor network that monitors water quality parameters, including pH, temperature, Total Dissolved Solids (TDS), and turbidity. This paper demonstrates the application of ML for real-time water quality management in a remote village in Sindh, Pakistan, through two experiments leveraging the IoT infrastructure. Traditional ML models, including SVM, achieved accuracies of 91% and 93%, respectively, but they faced scalability issues. The proposed FDL framework outperformed these models, achieving 98% accuracy, 97% precision, and 96.01% recall. Furthermore, FDL preserves data privacy by local processing and improves scalability and computational efficiency. This decentralized approach enhances the reliability and efficiency, making it suitable for water monitoring in resource-limited settings.

Suggested Citation

  • Bhagwan Das & Amr Adel & Tony Jan & M. D. Wahiduzzaman, 2025. "Water Quality Management using Federated Deep Learning in Developing Southeastern Asian Country," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(4), pages 1893-1909, March.
    • Handle: RePEc:spr:waterr:v:39:y:2025:i:4:d:10.1007_s11269-024-04051-z
    DOI: 10.1007/s11269-024-04051-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-04051-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-024-04051-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. B. Deb Nath & C. J. Schuster-Wallace & S. E. Dickson-Anderson, 2022. "Headwater-to-consumer Drinking Water Security Assessment Framework and Associated Indicators for Small Communities in High-income Countries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 805-834, February.
    2. Jiafeng Pang & Wei Luo & Zeyu Yao & Jing Chen & Chunyu Dong & Kairong Lin, 2024. "Water Quality Prediction in Urban Waterways Based on Wavelet Packet Denoising and LSTM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(7), pages 2399-2420, May.
    3. Mushtaque Ahmed Rahu & Muhammad Mujtaba Shaikh & Sarang Karim & Sarfaraz Ahmed Soomro & Deedar Hussain & Sayed Mazhar Ali, 2024. "Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural Irrigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(13), pages 4987-5028, October.
    4. Shabir Hussain Khahro & Haseeb Haleem Shaikh & Noor Yasmin Zainun & Basel Sultan & Qasim Hussain Khahro, 2023. "Delay in Decision-Making Affecting Construction Projects: A Sustainable Decision-Making Model for Mega Projects," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jullian S. Sone & Thamiris F. Araujo & Gabriela C. Gesualdo & André S. Ballarin & Glauber A. Carvalho & Paulo Tarso S. Oliveira & Edson Cezar Wendland, 2022. "Water Security in an Uncertain Future: Contrasting Realities from an Availability-Demand Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2571-2587, June.
    2. Islam Elmasoudi & Emad Elbeltagi & Wael Alattyih & Hossam Wefki, 2024. "Eco-Friendly Scheduling Model for Construction Projects Utilizing Genetic Algorithms," Sustainability, MDPI, vol. 16(24), pages 1-19, December.
    3. Mir Aftab Hussain Talpur & Shabir Hussain Khahro & Muhammad Saad Khan & Fahad Ahmed Shaikh & Yasir Javed, 2024. "Aftermaths of COVID-19 Lockdown on Socioeconomic and Psychological Nexus of Urban Population: A Case in Hyderabad, Pakistan," Societies, MDPI, vol. 14(8), pages 1-25, August.
    4. Germán Santacruz León & José Alfredo Ramos-Leal & Janete Morán Ramírez & Oscar Guadalupe Almanza-Tovar, 2025. "Drought and Water Quality in a Semi-arid Area: Effects in Livestock Production, Agriculture and Use Urban," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(4), pages 1605-1621, March.
    5. Fatima Afzal & Roksana Jahan Tumpa, 2024. "Exploring Leadership Styles to Foster Sustainability in Construction Projects: A Systematic Literature Review," Sustainability, MDPI, vol. 16(3), pages 1-32, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:39:y:2025:i:4:d:10.1007_s11269-024-04051-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.