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Engineering - Signals & Communication | Smart Water - a SpringerOpen journal

Smart Water

Smart Water

Editor-in-Chief: Joong H. Kim

ISSN: 2198-2619 (electronic version)

Journal no. 40713

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A journal covering the territory where water management meets and overlaps with Information and Communication Technology

  • Focuses on technology for real-time monitoring and management of water quality, distribution, utilization and conservation
  • Promotes progress toward sustainable, water-sensitive cities of the future
  • Affiliated with @qua, a Thematic Network under the EC’s CIP-ICT PSP Program

This open access journal covers the area where water management overlaps with advanced Information and Communication Technology. Reports on new technology for sensing, analyzing and managing sustainable water treatment, delivery, utilization and conservation.

Related subjects » Pollution and Remediation - Signals & Communication - Water Industry and Technologies

Abstracted/Indexed in 

INSPEC, Google Scholar, CNKI, EBSCO Discovery Service, EBSCO TOC Premier, OCLC WorldCat Discovery Service, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon

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  • Aims and Scope

    Aims and Scope

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    Smart Water is a peer-reviewed open access journal published under the SpringerOpen brand. The journal covers:

    1. Smart City and Smart Water Issues

    • Smart water management and governance
    • ICT and IoT for water solution
    • Smart water (micro-) grid technologies
    • Smart metering and big-data analysis for smart water
    • Cyber-security for smart water system
    • Interdependency between smart water and other systems (e.g., water and power grid)
    • Socio-economic measures for smart water
    • Educational and research transfer tools
    • Two-way communication in smart water
    • Business processes and modeling languages
    • Real-time information for stakeholders and customers
    • Water policy in smart city

    2. Next-generation Smart Water Management

    • Blue-green solution for storm water control
    • Reuse and recycling of water (rainwater harvesting, greywater, desalination, decentralized waste water treatment)
    • Water system sustainability, resilience, and robustness
    • Asset management, life cycle analysis, and field work management
    • System anomaly detection and pinpointing (burst, leakage, etc.)
    • Water system energy operation and management based on real-time system monitoring
    • Renewable energy in smart water system

    3. Artificial Intelligence for Smart Water

    • Optimization of smart water system design, operation, and management
    • Cyber-Physical System in smart water
    • Machine learning for water-related decision supporting
    • High-performance and cloud computing for smart water
    • Water system data-driven and physically-based modeling for smart city hydroinformatics

    4. Others

    • AMI/AMR technology
    • Tools for Smart Metering / Smart Pricing (e.g. condition-based tariffs)
    • Wearable computers/devices for field workers
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