Towards an integrated framework for air quality monitoring and exposure estimation—a review

  title={Towards an integrated framework for air quality monitoring and exposure estimation—a review},
  author={Savina Singla and Divya Bansal and Archan Misra and Gaurav Raheja},
  journal={Environmental Monitoring and Assessment},
For the health and safety of the public, it is essential to measure spatiotemporal distribution of air pollution in a region and thus monitor air quality in a fine-grain manner. While most of the sensing-based commercial applications available until today have been using fixed environmental sensors, the use of personal devices such as smartphones, smartwatches, and other wearable devices has not been explored in depth. These kinds of devices have an advantage of being with the user continuously… 
How emerging technology and its integrations is advancing our understanding of urban and traffic-related air pollution
Abstract Air pollution has been associated with numerous negative health effects such as cancer, cardiovascular, and respiratory diseases. In addition, there are emerging studies linking new effects
Sensors and Systems for Wearable Environmental Monitoring Toward IoT-Enabled Applications: A Review
This paper provides comprehensive descriptions of the state-of-the-art wearable environmental monitoring systems (WEMS) and compares them in terms of sensing and communication technologies and can serve as a reference for the researchers and developers to provide perspectives toward future research improvements.
Wearable Devices for Environmental Monitoring in the Built Environment: A Systematic Review
The main result is that, among the thermal, visual, acoustic, and air quality environmental factors, the last one is the most considered when using wearables even though in combination with some others.
Sensor-based Wireless Air Quality Monitoring Network (SWAQMN) - A smart tool for urban air quality management
Abstract An air quality monitoring network (AQMN) having the ability to provide high spatial resolution real-time information is one of the key tools for developing management strategies for air
A Methodology for Designing Short-Term Stationary Air Quality Campaigns with Mobile Laboratories Using Different Possible Allocation Criteria
This study develops a methodology for designing short-term air quality campaigns with mobile laboratories as a decision support system for environmental management and protection authorities and proposes 14 allocation algorithms specifically developed for optimizing the measuring campaigns.
Dynamic Monitoring of Haze Pollution Using Satellite Remote Sensing
The severe haze pollution episode from December 1 to 10, 2013 occurred in Shanghai area, and seriously threatened human health and transportation safety. As regional air pollution, it is practical
Mitigation strategies for reducing air pollution
This paper can provide useful information for governments for the implementation of a strategic plan focused on emphasizing multi-pollutant emission reductions and overall air pollution-related risk.
A systematic review of building systems and technologies to mitigate the spread of airborne viruses
It was found that sensor technologies, botanical air-filtration systems and artificial intelligence could be used to effectively monitor and improve IAQ.
Hardware Design and Building of Industrial Environment Monitoring System
  • 2020
In the present work, an industrial environment monitoring system hardware design is presented and successfully physically prototyped and tested. The system is designed to monitor, track, assess and
Personal Context from Mobile Phones—Case Study 5
  • Jason Wiese
  • Computer Science
    Intelligent Computing for Interactive System Design
  • 2021
This chapter describes two projects that illustrate different aspects of the pro­ cess of inferring personal context from mobile devices: one project that infers phone placement, and another that infer social context from communication behavior.


Quantifying Personal Exposure to Spatio-Temporally Distributed Air Pollutants using Mobile Sensors
Using the results obtained from the proposed model, the sensitive groups like patients with respiratory and cardiovascular diseases, small children, pregnant women etc can quantify the pollutants inhaled and hence manage their lifestyle.
Air Pollution Exposure Estimation and Finding Association with Human Activity using Wearable Sensor Network
This paper describes the experiences with developing a personal air pollution exposure estimation system utilising participatory air pollution monitoring system and energy expenditure data collected from wearable activity sensors and results show that sleep, having meals, working in a campus, and general home activities like reading books will lead to a low air pollution dosage.
A review on estimating the effects of inhaling airborne pollutants and air quality monitoring
The effects of airborne pollutants on human health and models which can be used to estimate them are presented and an architecture and implementation of real-time AQMS with the help of sensor networks are presented.
Participatory Air Pollution Monitoring Using Smartphones
Air quality monitoring is extremely important as air pollution has a direct impact on human health. In this paper we introduce a low-power and low-cost mobile sensing system for participatory air
Scalable measurement of air pollution using COTS IoT devices
A framework to estimate air pollution for a given locality by leveraging the existing infrastructure of monitoring stations and looking at factors, such as traffic conditions and greenery is proposed, which finds that greenery has more impact on pollution than traffic conditions.
Community based sensing: A test bed for environment air quality monitoring using smartphone paired sensors
This study proposes a novel framework of an environment air quality monitoring system using a community-based approach, designed the architecture of the proposed community sensing system, and implemented the system using commercial off-the-shelf Sensordrone paired with Android© smartphones.
Dynamic assessment of inhaled air pollution using GPS and accelerometer data
Exposure to air pollution can have severe health impacts, especially for the elderly. To estimate the inhaled dose of air pollution, traditionally only the air pollution concentration at the home
Personalising pollution exposure estimates using wearable activity sensors
This paper combines the pollution concentrations obtained from participatory systems with the individual's on-body activity monitors to estimate the personal inhalation dosage of air pollution, and develops an app that gives them this personalised information.
A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems
This paper classifies the existing works into three categories as Static Sensor Network (SSN), Community Sensor network (CSN) and Vehicle sensor network (VSN) based on the carriers of the sensors.
On the feasibility of measuring urban air pollution by wireless distributed sensor networks.
Overall, the results support the compatibility of wireless distributed sensor networks for measuring urban air pollution at a sub-neighborhood spatial resolution, which suits the requirement for highly spatiotemporal resolved measurements at the breathing-height when assessing exposure to urbanAir pollution.