| Peer-Reviewed

A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants

Received: 10 April 2019     Accepted: 6 December 2019     Published: 24 December 2019
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Abstract

The overall aim of this research is the prevention of environmental risk and impact, through the establishment of a present-day environmental observatory centre, equipped with an intelligent monitoring, management and evaluating system. Detecting the environmental pollutants in a timely manner (forecasting), potentially related to adverse health effects while their frequency appears to have increased, shall contribute crucially to avoiding or reducing further inhabitants’ exposure to pollutants in high environmental charging areas. A plurality of data will be collected and analyzed in the pilot Observatory. All these data will be gathered by measuring various environmental parameters (physicochemical, microbiological, ionized and not ionized radiation, dust, noise), a number of which will be transmitted wireless from small scale monitoring stations. The data base (territorial distribution of samples, number and frequency of sampling, analyze results, toxicity and risk indicators of environmental pollutants), will be enriched daily/weekly, with satellite data, meteorological data and satellite photographs (image analysis). With the collection, processing and analysis of measured values for various kinds of pollutants from environmental overloaded surfaces, useful conclusions are drawn regarding to the “pollution tendency” in every different area and the possible effects on human in combination with geography and geomorphology. With the use of artificial intelligence (AI) in human body simulators (whole body phantom models) we intend to make a more accurate qualitative and quantitative forecast: worst-best scenario, about as the life quality for residents -who may be exposed to the pollutants- as the direct or indirect medium to long-term adverse effects.

Published in American Journal of Environmental Protection (Volume 8, Issue 6)
DOI 10.11648/j.ajep.20190806.14
Page(s) 133-164
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Intelligent, Environmental, Observation, Health Hazard, Pollution

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Cite This Article
  • APA Style

    Vasilis Kanellopoulos, Andreas Andrikopoulos, Constantinos Koutsojannis. (2019). A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants. American Journal of Environmental Protection, 8(6), 133-164. https://doi.org/10.11648/j.ajep.20190806.14

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    ACS Style

    Vasilis Kanellopoulos; Andreas Andrikopoulos; Constantinos Koutsojannis. A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants. Am. J. Environ. Prot. 2019, 8(6), 133-164. doi: 10.11648/j.ajep.20190806.14

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    AMA Style

    Vasilis Kanellopoulos, Andreas Andrikopoulos, Constantinos Koutsojannis. A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants. Am J Environ Prot. 2019;8(6):133-164. doi: 10.11648/j.ajep.20190806.14

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  • @article{10.11648/j.ajep.20190806.14,
      author = {Vasilis Kanellopoulos and Andreas Andrikopoulos and Constantinos Koutsojannis},
      title = {A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants},
      journal = {American Journal of Environmental Protection},
      volume = {8},
      number = {6},
      pages = {133-164},
      doi = {10.11648/j.ajep.20190806.14},
      url = {https://doi.org/10.11648/j.ajep.20190806.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20190806.14},
      abstract = {The overall aim of this research is the prevention of environmental risk and impact, through the establishment of a present-day environmental observatory centre, equipped with an intelligent monitoring, management and evaluating system. Detecting the environmental pollutants in a timely manner (forecasting), potentially related to adverse health effects while their frequency appears to have increased, shall contribute crucially to avoiding or reducing further inhabitants’ exposure to pollutants in high environmental charging areas. A plurality of data will be collected and analyzed in the pilot Observatory. All these data will be gathered by measuring various environmental parameters (physicochemical, microbiological, ionized and not ionized radiation, dust, noise), a number of which will be transmitted wireless from small scale monitoring stations. The data base (territorial distribution of samples, number and frequency of sampling, analyze results, toxicity and risk indicators of environmental pollutants), will be enriched daily/weekly, with satellite data, meteorological data and satellite photographs (image analysis). With the collection, processing and analysis of measured values for various kinds of pollutants from environmental overloaded surfaces, useful conclusions are drawn regarding to the “pollution tendency” in every different area and the possible effects on human in combination with geography and geomorphology. With the use of artificial intelligence (AI) in human body simulators (whole body phantom models) we intend to make a more accurate qualitative and quantitative forecast: worst-best scenario, about as the life quality for residents -who may be exposed to the pollutants- as the direct or indirect medium to long-term adverse effects.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - A Pilot Study of an Online Intelligent Environmental Observation System for Monitoring and Evaluating Public Health Hazard from Indoor and Outdoor Pollutants
    AU  - Vasilis Kanellopoulos
    AU  - Andreas Andrikopoulos
    AU  - Constantinos Koutsojannis
    Y1  - 2019/12/24
    PY  - 2019
    N1  - https://doi.org/10.11648/j.ajep.20190806.14
    DO  - 10.11648/j.ajep.20190806.14
    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
    SP  - 133
    EP  - 164
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20190806.14
    AB  - The overall aim of this research is the prevention of environmental risk and impact, through the establishment of a present-day environmental observatory centre, equipped with an intelligent monitoring, management and evaluating system. Detecting the environmental pollutants in a timely manner (forecasting), potentially related to adverse health effects while their frequency appears to have increased, shall contribute crucially to avoiding or reducing further inhabitants’ exposure to pollutants in high environmental charging areas. A plurality of data will be collected and analyzed in the pilot Observatory. All these data will be gathered by measuring various environmental parameters (physicochemical, microbiological, ionized and not ionized radiation, dust, noise), a number of which will be transmitted wireless from small scale monitoring stations. The data base (territorial distribution of samples, number and frequency of sampling, analyze results, toxicity and risk indicators of environmental pollutants), will be enriched daily/weekly, with satellite data, meteorological data and satellite photographs (image analysis). With the collection, processing and analysis of measured values for various kinds of pollutants from environmental overloaded surfaces, useful conclusions are drawn regarding to the “pollution tendency” in every different area and the possible effects on human in combination with geography and geomorphology. With the use of artificial intelligence (AI) in human body simulators (whole body phantom models) we intend to make a more accurate qualitative and quantitative forecast: worst-best scenario, about as the life quality for residents -who may be exposed to the pollutants- as the direct or indirect medium to long-term adverse effects.
    VL  - 8
    IS  - 6
    ER  - 

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Author Information
  • Health Physics & Computational Intelligence Lab, University of Patras, Patras, Greece

  • Health Physics & Computational Intelligence Lab, University of Patras, Patras, Greece

  • Health Physics & Computational Intelligence Lab, University of Patras, Patras, Greece

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