Javascript must be enabled to continue!
A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods
View through CrossRef
The impact of urban air pollution on the environments and human health has drawn increasing concerns from researchers, policymakers and citizens. To reduce the negative health impact, it is of great importance to measure the air pollution at high spatial resolution in a timely manner. Traditionally, air pollution is measured using dedicated instruments at fixed monitoring stations, which are placed sparsely in urban areas. With the development of low-cost micro-scale sensing technology in the last decade, portable sensing devices installed on mobile campaigns have been increasingly used for air pollution monitoring, especially for traffic-related pollution monitoring. In the past, some reviews have been done about air pollution exposure models using monitoring data obtained from fixed stations, but no review about mobile sensing for air pollution has been undertaken. This article is a comprehensive review of the recent development in air pollution monitoring, including both the pollution data acquisition and the pollution assessment methods. Unlike the existing reviews on air pollution assessment, this paper not only introduces the models that researchers applied on the data collected from stationary stations, but also presents the efforts of applying these models on the mobile sensing data and discusses the future research of fusing the stationary and mobile sensing data.
Title: A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods
Description:
The impact of urban air pollution on the environments and human health has drawn increasing concerns from researchers, policymakers and citizens.
To reduce the negative health impact, it is of great importance to measure the air pollution at high spatial resolution in a timely manner.
Traditionally, air pollution is measured using dedicated instruments at fixed monitoring stations, which are placed sparsely in urban areas.
With the development of low-cost micro-scale sensing technology in the last decade, portable sensing devices installed on mobile campaigns have been increasingly used for air pollution monitoring, especially for traffic-related pollution monitoring.
In the past, some reviews have been done about air pollution exposure models using monitoring data obtained from fixed stations, but no review about mobile sensing for air pollution has been undertaken.
This article is a comprehensive review of the recent development in air pollution monitoring, including both the pollution data acquisition and the pollution assessment methods.
Unlike the existing reviews on air pollution assessment, this paper not only introduces the models that researchers applied on the data collected from stationary stations, but also presents the efforts of applying these models on the mobile sensing data and discusses the future research of fusing the stationary and mobile sensing data.
Related Results
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract
The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Unveiling the association between air pollution and cardiovascular diseases: the silent threat to heart health
Unveiling the association between air pollution and cardiovascular diseases: the silent threat to heart health
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, accounting for about 17.9 million deaths annually—making up roughly 31–32% of all global deaths (1, 2). ...
Impacts of air pollution on respiratory symptoms and pulmonary functions among public drivers in Chiang Mai
Impacts of air pollution on respiratory symptoms and pulmonary functions among public drivers in Chiang Mai
Objectives To explore differences in pulmonary functions, respiratory symptoms and related factors among public commercial drivers between periods of high and low air pollution. ...
Evaluation of Physiological and Biochemical Responses of Air Pollution in Selected Plant Species around Industrial Premises of Malappuram District, Kerala
Evaluation of Physiological and Biochemical Responses of Air Pollution in Selected Plant Species around Industrial Premises of Malappuram District, Kerala
Air pollution impact on various physiological and biochemical parameters of fifteen plant species around industrial premises of Malappuram district, Kerala were investigated. The p...
Air Pollution Tolerance Index for Selected Species of Plants in Roadside Highways at Allahabad, Uttar Pradesh, India
Air Pollution Tolerance Index for Selected Species of Plants in Roadside Highways at Allahabad, Uttar Pradesh, India
In recent years air pollution is one of the biggest problems in the world. Owing to the transboundary dispersion of contaminants around the world, air pollution has its own peculia...
Transforming Urban Systems
Transforming Urban Systems
Global trends show that the world's population is growing with 250,000 new human beings per day, or 100 million a year. This significant growth of the population, coupled with a ph...
Street-Level Urban Air Quality Patterns: Insights from a Comprehensive Mobile Measurement Campaign in Budapest
Street-Level Urban Air Quality Patterns: Insights from a Comprehensive Mobile Measurement Campaign in Budapest
Urban air quality exhibits significant spatial variability at street level due to the complex interactions between traffic patterns, building structures, vegetation, and local micr...
Assessing the Impact of Air Pollution on Respiratory Health: A Longitudinal Study in Urban Areas
Assessing the Impact of Air Pollution on Respiratory Health: A Longitudinal Study in Urban Areas
Introduction: This study sought to determine the long-term association between exposure to air pollution and respiratory health in the context of urban settings.Methods: Longitudin...

