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Smart Water Resource Management Using Artificial Intelligence—A Review

Author

Listed:
  • Siva Rama Krishnan

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • M. K. Nallakaruppan

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Rajeswari Chengoden

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Srinivas Koppu

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • M. Iyapparaja

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Jayakumar Sadhasivam

    (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Sankaran Sethuraman

    (Council of Scientific and Industrial Research, CSIR-National Geophysical Research Institute, Hyderabad 500007, India)

Abstract

Water management is one of the crucial topics discussed in most of the international forums. Water harvesting and recycling are the major requirements to meet the global upcoming demand of the water crisis, which is prevalent. To achieve this, we need more emphasis on water management techniques that are applied across various categories of the applications. Keeping in mind the population density index, there is a dire need to implement intelligent water management mechanisms for effective distribution, conservation and to maintain the water quality standards for various purposes. The prescribed work discusses about few major areas of applications that are required for efficient water management. Those are recent trends in wastewater recycle, water distribution, rainwater harvesting and irrigation management using various Artificial Intelligence (AI) models. The data acquired for these applications are purely unique and also differs by type. Hence, there is a dire need to use a model or algorithm that can be applied to provide solutions across all these applications. Artificial Intelligence (AI) and Deep Learning (DL) techniques along with the Internet of things (IoT) framework can facilitate in designing a smart water management system for sustainable water usage from natural resources. This work surveys various water management techniques and the use of AI/DL along with the IoT network and case studies, sample statistical analysis to develop an efficient water management framework.

Suggested Citation

  • Siva Rama Krishnan & M. K. Nallakaruppan & Rajeswari Chengoden & Srinivas Koppu & M. Iyapparaja & Jayakumar Sadhasivam & Sankaran Sethuraman, 2022. "Smart Water Resource Management Using Artificial Intelligence—A Review," Sustainability, MDPI, vol. 14(20), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13384-:d:944949
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    References listed on IDEAS

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    1. Peace Bamurigire & Anthony Vodacek & Andras Valko & Said Rutabayiro Ngoga, 2020. "Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda," Agriculture, MDPI, vol. 10(10), pages 1-12, September.
    2. López-Riquelme, J.A. & Pavón-Pulido, N. & Navarro-Hellín, H. & Soto-Valles, F. & Torres-Sánchez, R., 2017. "A software architecture based on FIWARE cloud for Precision Agriculture," Agricultural Water Management, Elsevier, vol. 183(C), pages 123-135.
    3. Berthet, Alice & Vincent, Audrey & Fleury, Philippe, 2021. "Water quality issues and agriculture: An international review of innovative policy schemes," Land Use Policy, Elsevier, vol. 109(C).
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    Cited by:

    1. Yi Wang & Yuhan Cheng & He Liu & Qing Guo & Chuanjun Dai & Min Zhao & Dezhao Liu, 2023. "A Review on Applications of Artificial Intelligence in Wastewater Treatment," Sustainability, MDPI, vol. 15(18), pages 1-28, September.

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