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 |
Intelligent, Environmental, Observation, Health Hazard, Pollution
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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
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
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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Download@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}
}
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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