Wireless distributed environmental sensor networks for air pollution measurement-the promise and the current reality
| Autor: | Broday, David M., Arpaci, Alexander, Bartonova, Alena, Castell-Balaguer, Nuría, Cole-Hunter, Tom, Dauge, Franck R., Fishbain, Barak, Jones, Rod L., Galea, Karen, Jovasevic-Stojanovic, Milena, Kocman, David, Martinez-Iñiguez, Tania, Nieuwenhuijsen, Mark, Robinson, Johanna, Svecova, Vlasta, Thai, Phong |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
in situ field calibration
010504 meteorology & atmospheric sciences air pollution Air pollution 010501 environmental sciences medicine.disease_cause lcsh:Chemical technology 01 natural sciences Biochemistry Article wireless distributed environmental sensor networks micro sensing units spatiotemporal variability multi-sensor nodes Analytical Chemistry 11. Sustainability medicine Wireless lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Air quality index 0105 earth and related environmental sciences Remote sensing Pollutant Air pollutant concentrations Data stream mining business.industry Atomic and Molecular Physics and Optics 13. Climate action Software deployment Environmental science Spatial variability business |
| Zdroj: | Sensors; Volume 17; Issue 10; Pages: 2263 Sensors (Basel, Switzerland) Sensors Sensors, Vol 17, Iss 10, p 2263 (2017) |
| Popis: | The evaluation of the effects of air pollution on public health and human-wellbeing requires reliable data. Standard air quality monitoring stations provide accurate measurements of airborne pollutant levels, but, due to their sparse distribution, they cannot capture accurately the spatial variability of air pollutant concentrations within cities. Dedicated in-depth field campaigns have dense spatial coverage of the measurements but are held for relatively short time periods. Hence, their representativeness is limited. Moreover, the oftentimes integrated measurements represent time-averaged records. Recent advances in communication and sensor technologies enable the deployment of dense grids of Wireless Distributed Environmental Sensor Networks for air quality monitoring, yet their capability to capture urban-scale spatiotemporal pollutant patterns has not been thoroughly examined to date. Here, we summarize our studies on the practicalities of using data streams from sensor nodes for air quality measurement and the required methods to tune the results to different stakeholders and applications. We summarize the results from eight cities across Europe, five sensor technologies-three stationary (with one tested also while moving) and two personal sensor platforms, and eight ambient pollutants. Overall, few sensors showed an exceptional and consistent performance, which can shed light on the fine spatiotemporal urban variability of pollutant concentrations. Stationary sensor nodes were more reliable than personal nodes. In general, the sensor measurements tend to suffer from the interference of various environmental factors and require frequent calibrations. This calls for the development of suitable field calibration procedures, and several such in situ field calibrations are presented. |
| Databáze: | OpenAIRE |
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