Počet záznamů: 1  

Wireless distributed environmental sensor networks for air pollution measurement-the promise and the current reality

  1. 1.
    SYSNO ASEP0488420
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevWireless distributed environmental sensor networks for air pollution measurement-the promise and the current reality
    Tvůrce(i) Broday, D. M. (IL)
    Arpaci, A. (AT)
    Bartoňová, A. (NO)
    Castell-Balaguer, N. (NO)
    Cole-Hunter, T. (ES)
    Dauge, F.R. (NO)
    Fishbain, B. (IL)
    Jones, R.L. (GB)
    Galea, K. (GB)
    Jovasevic-Stojanovic, M. (RS)
    Kocman, D. (SI)
    Martinez-Iniguez, T. (ES)
    Nieuwenhuijsen, M. (ES)
    Robinson, J. (SI)
    Švecová, Vlasta (UEM-P) RID
    Thai, P. (AT)
    Zdroj.dok.Sensors. - : MDPI
    Roč. 17, č. 10 (2017), s. 2263
    Poč.str.17 s.
    Jazyk dok.eng - angličtina
    Země vyd.CH - Švýcarsko
    Klíč. slovaair pollution ; in situ field calibration ; micro sensing units
    Vědní obor RIVEI - Biotechnologie a bionika
    Obor OECDBiomaterials (as related to medical implants, devices, sensors)
    Způsob publikováníOpen access
    Institucionální podporaUEM-P - RVO:68378041
    UT WOS000414931500105
    EID SCOPUS85030686460
    DOI10.3390/s17102263
    AnotaceThe 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.
    PracovištěÚstav experimentální medicíny
    KontaktLenka Koželská, lenka.kozelska@iem.cas.cz, Tel.: 241 062 218, 296 442 218
    Rok sběru2018
    Elektronická adresahttps://www.mdpi.com/1424-8220/17/10/2263
Počet záznamů: 1  

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