View: implementing low cost air quality monitoring solution for urban areas

Ikram, Jahangir; Tahir, Amer; Kazmi, Hasanat; Khan, Zonia; Javed, Rabi; Masood, Usama

doi:10.1186/2193-2697-1-10

Cited by 25 publications

(23 citation statements)

References 3 publications

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“…391,392 Low-cost air pollution monitors to measure levels of pollutants on the ground represent an important advance. 393 The use of satellite-based remote sensing to estimate levels of air pollution is gaining increased attention, although the coverage and interpretation of satellite data is still being refined. 394 The importance of accurate epidemiological data for the prevention and control of disease has been recognised since the work of pioneers such as William Farr, 338 who documented patterns of disease and death during the great cholera epidemic in Britain of 1848-49.…”

Section: Establish Robust Systems For Environmental Monitoring and Pumentioning

confidence: 99%

The Lancet Commission on pollution and health

Landrigan

Fuller

Acosta³

et al. 2018

The Lancet

3,198

1,960

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Section: Establish Robust Systems For Environmental Monitoring and Pumentioning

confidence: 99%

The Lancet Commission on pollution and health

Landrigan

Fuller

Acosta³

et al. 2018

The Lancet

3,198

1,960

View full text Add to dashboard Cite

“…Some stationary networks have been established such as Gao et al (2015); English et al (2017) as pilot networks or such as Semple et al (2015) as part of an epidemiological monitoring campaign. Further, 11 such studies have monitored gaseous pollutants (Al Rasyid et al, 2016;Bart et al, 2014;David et al, 2013;Heimann et al, 2015;Ikram et al, 2012;Masson et al, 2015;Mead et al, 2013;Moltchanov et al, 2015;Sun et al, 2016;Weissert et al, 2017;Wen et al, 2013). The number of sensors/monitors ranged from 3 to 44 and the gases monitored included nitric oxide (NO), nitrogen dioxide (NO 2 ), carbon monoxide (CO), sulphur dioxide (SO 2 ), ozone (O 3 ) and volatile organic compounds (VOCs).…”

Section: Stationarymentioning

confidence: 99%

Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

Morawska

Thai

Liu

et al. 2018

Environment International

566

366

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Over the past decade, a range of sensor technologies became available on the market, enabling a revolutionary shift in air pollution monitoring and assessment. With their cost of up to three orders of magnitude lower than standard/reference instruments, many avenues for applications have opened up. In particular, broader participation in air quality discussion and utilisation of information on air pollution by communities has become possible. However, many questions have been also asked about the actual benefits of these technologies. To address this issue, we conducted a comprehensive literature search including both the scientific and grey literature. We focused upon two questions: (1) Are these technologies fit for the various purposes envisaged? and (2) How far have these technologies and their applications progressed to provide answers and solutions? Regarding the former, we concluded that there is no clear answer to the question, due to a lack of: sensor/monitor manufacturers' quantitative specifications of performance, consensus regarding recommended end-use and associated minimal performance targets of these technologies, and the ability of the prospective users to formulate the requirements for their applications, or conditions of the intended use. Numerous studies have assessed and reported sensor/monitor performance under a range of specific conditions, and in many cases the performance was concluded to be satisfactory. The specific use cases for sensors/monitors included outdoor in a stationary mode, outdoor in a mobile mode, indoor environments and personal monitoring. Under certain conditions of application, project goals, and monitoring environments, some sensors/monitors were fit for a specific purpose. Based on analysis of 17 large projects, which reached applied outcome stage, and typically conducted by consortia of organizations, we observed that a sizable fraction of them (~ 30%) were commercial and/or crowd-funded. This fact by itself signals a paradigm change in air quality monitoring, which previously had been primarily implemented by government organizations. An additional paradigm-shift indicator is the growing use of machine learning or other advanced data processing approaches to improve sensor/monitor agreement with reference monitors. There is still some way to go in enhancing application of the technologies for source apportionment, which is of particular necessity and urgency in developing countries. Also, there has been somewhat less progress in wide-scale monitoring of personal exposures. However, it can be argued that with a significant future expansion of monitoring networks, including indoor environments, there may be less need for wearable or portable sensors/monitors to assess personal exposure. Traditional personal monitoring would still be valuable where spatial variability of pollutants of interest is at a finer resolution than the monitoring network can resolve.

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“…Data acquired by these stations can be utilized for building pollution maps and models that provide authorized environmental situation information and prediction. However, limitations in spatio-temporal resolution and Quality of Services (QoS) are prevalent in these systems [ 93 , 94 , 95 ]. These limitations result in issues and problems of the conventional air pollution monitoring systems, like non-scalability of system, limited data availability on personal exposure, and out-of-the-fact warnings on acute exposure.…”

Section: State-of-the-art Wsn Based Air Pollution Monitoring Systementioning

confidence: 99%

A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

Mak

et al. 2015

Sensors

282

141

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The air quality in urban areas is a major concern in modern cities due to significant impacts of air pollution on public health, global environment, and worldwide economy. Recent studies reveal the importance of micro-level pollution information, including human personal exposure and acute exposure to air pollutants. A real-time system with high spatio-temporal resolution is essential because of the limited data availability and non-scalability of conventional air pollution monitoring systems. Currently, researchers focus on the concept of The Next Generation Air Pollution Monitoring System (TNGAPMS) and have achieved significant breakthroughs by utilizing the advance sensing technologies, MicroElectroMechanical Systems (MEMS) and Wireless Sensor Network (WSN). However, there exist potential problems of these newly proposed systems, namely the lack of 3D data acquisition ability and the flexibility of the sensor network. In this paper, we classify 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. Comprehensive reviews and comparisons among these three types of sensor networks were also performed. Last but not least, we discuss the limitations of the existing works and conclude the objectives that we want to achieve in future systems.

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View: implementing low cost air quality monitoring solution for urban areas

Cited by 25 publications

References 3 publications

The Lancet Commission on pollution and health

The Lancet Commission on pollution and health

Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

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