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Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment
by
Lee, Jeongil
, Lee, Chaekwan
, Park, Jinhyeon
, Yang, Wonho
, Lee, Cheolmin
, Cho, Mansu
in
Activity patterns
/ Air monitoring
/ Air pollution
/ Artificial intelligence
/ Atmospheric diffusion
/ Atmospheric models
/ Atmospheric monitoring
/ Environmental health
/ environmental health surveillance system
/ Evaluation
/ Exposure
/ exposure assessment
/ Health surveillance
/ Internet of Things
/ Interpolation
/ Microenvironments
/ Outdoor air quality
/ Pollutants
/ Pollution dispersion
/ Pollution monitoring
/ population exposure
/ Public health
/ Review
/ Sensors
2020
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Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment
by
Lee, Jeongil
, Lee, Chaekwan
, Park, Jinhyeon
, Yang, Wonho
, Lee, Cheolmin
, Cho, Mansu
in
Activity patterns
/ Air monitoring
/ Air pollution
/ Artificial intelligence
/ Atmospheric diffusion
/ Atmospheric models
/ Atmospheric monitoring
/ Environmental health
/ environmental health surveillance system
/ Evaluation
/ Exposure
/ exposure assessment
/ Health surveillance
/ Internet of Things
/ Interpolation
/ Microenvironments
/ Outdoor air quality
/ Pollutants
/ Pollution dispersion
/ Pollution monitoring
/ population exposure
/ Public health
/ Review
/ Sensors
2020
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Do you wish to request the book?
Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment
by
Lee, Jeongil
, Lee, Chaekwan
, Park, Jinhyeon
, Yang, Wonho
, Lee, Cheolmin
, Cho, Mansu
in
Activity patterns
/ Air monitoring
/ Air pollution
/ Artificial intelligence
/ Atmospheric diffusion
/ Atmospheric models
/ Atmospheric monitoring
/ Environmental health
/ environmental health surveillance system
/ Evaluation
/ Exposure
/ exposure assessment
/ Health surveillance
/ Internet of Things
/ Interpolation
/ Microenvironments
/ Outdoor air quality
/ Pollutants
/ Pollution dispersion
/ Pollution monitoring
/ population exposure
/ Public health
/ Review
/ Sensors
2020
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Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment
Journal Article
Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment
2020
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Overview
Human exposure to air pollution is a major public health concern. Environmental policymakers have been implementing various strategies to reduce exposure, including the 10th-day-no-driving system. To assess exposure of an entire population of a community in a highly polluted area, pollutant concentrations in microenvironments and population time–activity patterns are required. To date, population exposure to air pollutants has been assessed using air monitoring data from fixed atmospheric monitoring stations, atmospheric dispersion modeling, or spatial interpolation techniques for pollutant concentrations. This is coupled with census data, administrative registers, and data on the patterns of the time-based activities at the individual scale. Recent technologies such as sensors, the Internet of Things (IoT), communications technology, and artificial intelligence enable the accurate evaluation of air pollution exposure for a population in an environmental health context. In this study, the latest trends in published papers on the assessment of population exposure to air pollution were reviewed. Subsequently, this study proposes a methodology that will enable policymakers to develop an environmental health surveillance system that evaluates the distribution of air pollution exposure for a population within a target area and establish countermeasures based on advanced exposure assessment.
Publisher
MDPI AG,MDPI
Subject
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