IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i22p9555-d446236.html
   My bibliography  Save this article

Cyber-Physical Systems for Water Supply Network Management: Basics, Challenges, and Roadmap

Author

Listed:
  • Kazeem B. Adedeji

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Yskandar Hamam

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa
    ESIEE-Paris, Cité Descartes, BP 99, Noisy-le-Grand, 93162 Paris, France)

Abstract

Water supply systems are dynamic in nature, owing to the effect of climate change and consumer demand uncertainties. The operation of such a system must be managed effectively to meet up with the uncertainties, thus posing a key challenge. Unfortunately, previous information and communication technology (ICT) solutions could not provide the necessary support for applications to deal with the dynamics of the changing physical environment. Nevertheless, tremendous growth in technology offers better possibilities to enhance water supply systems’ operations. As a result, development in technology in sensing and instrumentation, communication and networking, computing and control is now jointly integrated with water supply system infrastructures to enhance the water system operations. One such technological paradigm shift is the cyber-physical system (CPS). In this paper, we present the concept of the CPS in the water system context and investigate the CPS applications to water supply system monitoring. Also, the various applications of CPSs and the application domain requirements are outlined. More importantly, research studies on its application to water system monitoring are scrutinized. As such, key challenges sounding the applications in WSSs are identified. We then outline the areas of improvement for further studies.

Suggested Citation

  • Kazeem B. Adedeji & Yskandar Hamam, 2020. "Cyber-Physical Systems for Water Supply Network Management: Basics, Challenges, and Roadmap," Sustainability, MDPI, vol. 12(22), pages 1-30, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9555-:d:446236
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/22/9555/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/22/9555/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Javier Rodríguez-Robles & Álvaro Martin & Sergio Martin & José A. Ruipérez-Valiente & Manuel Castro, 2020. "Autonomous Sensor Network for Rural Agriculture Environments, Low Cost, and Energy Self-Charge," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    2. Jungsuk Song & Younsu Lee & Jang-Won Choi & Joon-Min Gil & Jaekyung Han & Sang-Soo Choi, 2017. "Practical In-Depth Analysis of IDS Alerts for Tracing and Identifying Potential Attackers on Darknet," Sustainability, MDPI, vol. 9(2), pages 1-18, February.
    3. Symeon E. Christodoulou & Elena Kourti & Agathoklis Agathokleous, 2017. "Waterloss Detection in Water Distribution Networks using Wavelet Change-Point Detection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 979-994, February.
    4. Olga Bucovetchi & Alexandru Georgescu & Dorel Badea & Radu D. Stanciu, 2019. "Agent-Based Modeling (ABM): Support for Emphasizing the Air Transport Infrastructure Dependence of Space Systems," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    5. Masih Akhbari & Neil Grigg, 2013. "A Framework for an Agent-Based Model to Manage Water Resources Conflicts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 4039-4052, September.
    6. Chaiyan Jettanasen & Panapong Songsukthawan & Atthapol Ngaopitakkul, 2020. "Development of Micro-Mobility Based on Piezoelectric Energy Harvesting for Smart City Applications," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    7. Lisa Huber & Nico Bahro & Georg Leitinger & Ulrike Tappeiner & Ulrich Strasser, 2019. "Agent-Based Modelling of a Coupled Water Demand and Supply System at the Catchment Scale," Sustainability, MDPI, vol. 11(21), pages 1-15, November.
    8. Fei Ge & Yuanni Wang, 2016. "Energy Efficient Networks for Monitoring Water Quality in Subterranean Rivers," Sustainability, MDPI, vol. 8(6), pages 1-16, May.
    9. Youping Fan & Jingjiao Li & Dai Zhang & Jie Pi & Jiahan Song & Guo Zhao, 2019. "Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS," Sustainability, MDPI, vol. 11(4), pages 1-30, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.

    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. Mehrdad Aslani & Hamed Hashemi-Dezaki & Abbas Ketabi, 2021. "Reliability Evaluation of Smart Microgrids Considering Cyber Failures and Disturbances under Various Cyber Network Topologies and Distributed Generation’s Scenarios," Sustainability, MDPI, vol. 13(10), pages 1-30, May.
    2. Stella Santana & Gilberto Barroso, 2014. "Integrated Ecosystem Management of River Basins and the Coastal Zone in Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 4927-4942, November.
    3. Sehyeong Kim & Sanghoon Jun & Donghwi Jung, 2022. "Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5049-5061, October.
    4. Alireza Nouri & Bahram Saghafian & Majid Delavar & Mohammad Reza Bazargan-Lari, 2019. "Agent-Based Modeling for Evaluation of Crop Pattern and Water Management Policies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3707-3720, September.
    5. Caterina Capponi & Silvia Meniconi & Pedro J. Lee & Bruno Brunone & Marco Cifrodelli, 2020. "Time-domain Analysis of Laboratory Experiments on the Transient Pressure Damping in a Leaky Polymeric Pipe," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 501-514, January.
    6. Wang, Shunke & Chang, Jingjing & Xue, Jie & Sun, Huaiwei & Zeng, Fanjiang & Liu, Lei & Liu, Xin & Li, Xinxin, 2024. "Coupling behavioral economics and water management policies for agricultural land-use planning in basin irrigation districts: Agent-based socio-hydrological modeling and application," Agricultural Water Management, Elsevier, vol. 298(C).
    7. Chakaphon Singto & Martijn Vries & Gert Jan Hofstede & Luuk Fleskens, 2021. "Ex Ante Impact Assessment of Reservoir Construction Projects for Different Stakeholders Using Agent-Based Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 1047-1064, February.
    8. Andreja Mihailović & Julija Cerović Smolović & Ivan Radević & Neli Rašović & Nikola Martinović, 2021. "COVID-19 and Beyond: Employee Perceptions of the Efficiency of Teleworking and Its Cybersecurity Implications," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    9. Yuan, Shiwei & Li, Xin & Du, Erhu, 2021. "Effects of farmers’ behavioral characteristics on crop choices and responses to water management policies," Agricultural Water Management, Elsevier, vol. 247(C).
    10. Hua Xing & Shuhong Mo & Xiaoyan Liang & Ying Li, 2021. "Water Resources Allocation Based on Complex Adaptive System Theory in the Inland River Irrigation District," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    11. Farhadi, Saber & Nikoo, Mohammad Reza & Rakhshandehroo, Gholam Reza & Akhbari, Masih & Alizadeh, Mohammad Reza, 2016. "An agent-based-nash modeling framework for sustainable groundwater management: A case study," Agricultural Water Management, Elsevier, vol. 177(C), pages 348-358.
    12. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
    13. Md. Sayed Iftekhar & John G. Tisdell, 2016. "An Agent Based Analysis of Combinatorial Bidding for Spatially Targeted Multi-Objective Environmental Programs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 537-558, August.
    14. Vignon Fidele Adanvo & Samuel Mafra & Samuel Montejo-Sánchez & Evelio M. García Fernández & Richard Demo Souza, 2022. "Buffer-Aided Relaying Strategies for Two-Way Wireless Networks," Sustainability, MDPI, vol. 14(21), pages 1-29, October.
    15. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    16. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.
    17. Ghazali, Mahboubeh & Honar, Tooraj & Nikoo, Mohammad Reza, 2018. "A hybrid TOPSIS-agent-based framework for reducing the water demand requested by stakeholders with considering the agents’ characteristics and optimization of cropping pattern," Agricultural Water Management, Elsevier, vol. 199(C), pages 71-85.
    18. Anbari, Mohammad Javad & Zarghami, Mahdi & Nadiri, Ata-Allah, 2021. "An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran," Agricultural Water Management, Elsevier, vol. 249(C).
    19. Jiménez, Andrés-F. & Cárdenas, Pedro-F. & Jiménez, Fabián, 2021. "Smart water management approach for resource allocation in High-Scale irrigation systems," Agricultural Water Management, Elsevier, vol. 256(C).
    20. Melissa Watanabe & Lúcia Gama Madruga & Cristina Yamaguchi & Adriana Vieira & Roseli Jenoveva-Neto, 2014. "Decision Making and Social Learning: the Case of Watershed Committee of the State of Rio Grande do Sul, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3815-3828, September.

    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:gam:jsusta:v:12:y:2020:i:22:p:9555-:d:446236. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.