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  • Smart Environmental Monitoring and Assessment Technologies (SEMAT) - A New Paradigm for Low-Cost, Remote Aquatic Environmental Monitoring

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    TrevathanPUB5987.pdf (5.517Mb)
    Author(s)
    Trevathan, Jarrod
    Johnstone, Ron
    Griffith University Author(s)
    Trevathan, Jarrod
    Year published
    2018
    Metadata
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    Abstract
    Expense and the logistical difficulties with deploying scientific monitoring equipment are the biggest limitations to undertaking large scale monitoring of aquatic environments. The Smart Environmental Monitoring and Assessment Technologies (SEMAT) project is aimed at addressing this problem by creating an open standard for low-cost, near real-time, remote aquatic environmental monitoring systems. This paper presents the latest refinement of the SEMAT system in-line with the evolution of existing technologies, inexpensive sensors and environmental monitoring expectations. We provide a systems analysis and design of the SEMAT ...
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    Expense and the logistical difficulties with deploying scientific monitoring equipment are the biggest limitations to undertaking large scale monitoring of aquatic environments. The Smart Environmental Monitoring and Assessment Technologies (SEMAT) project is aimed at addressing this problem by creating an open standard for low-cost, near real-time, remote aquatic environmental monitoring systems. This paper presents the latest refinement of the SEMAT system in-line with the evolution of existing technologies, inexpensive sensors and environmental monitoring expectations. We provide a systems analysis and design of the SEMAT remote monitoring units and the back-end data management system. The system’s value is augmented through a unique e-waste recycling and repurposing model which engages/educates the community in the production of the SEMAT units using social enterprise. SEMAT serves as an open standard for the community to innovate around to further the state of play with low-cost environmental monitoring. The latest SEMAT units have been trialled in a peri-urban lake setting and the results demonstrate the system’s capabilities to provide ongoing data in near real-time to validate an environmental model of the study site.
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    Journal Title
    Sensors
    Volume
    18
    Issue
    7
    DOI
    https://doi.org/10.3390/s18072248
    Copyright Statement
    © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
    Subject
    Environmental management
    Analytical chemistry
    Ecology
    Electrical engineering
    Electronics, sensors and digital hardware
    Environmental monitoring
    Social enterprise
    Open source technologies
    Internet of things
    Wireless sensor networks
    Low-cost sensors
    Publication URI
    http://hdl.handle.net/10072/381612
    Collection
    • Journal articles

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