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Verfasst von:Zhu, Ying [VerfasserIn]   i
 Horbanski, Martin [VerfasserIn]   i
 Pöhler, Denis [VerfasserIn]   i
Titel:Analysis of spatial and temporal patterns of on-road NO2 concentrations in Hong Kong
Verf.angabe:Ying Zhu, Ka Lok Chan, Yun Fat Lam, Martin Horbanski, Denis Pöhler, Johannes Boll, Ivo Lipkowitsch, Sheng Ye, and Mark Wenig
E-Jahr:2018
Jahr:19 December 2018
Umfang:16 S.
Fussnoten:Im Titel ist die Zahl 2 tiefgestellt ; Gesehen am 24.06.2020
Titel Quelle:Enthalten in: Atmospheric measurement techniques
Ort Quelle:Katlenburg-Lindau : Copernicus, 2008
Jahr Quelle:2018
Band/Heft Quelle:11(2018), 12, Seite 6719-6734
ISSN Quelle:1867-8548
Abstract:In this paper we present an investigation of the spatial and temporal variability of street-level concentrations of <span class="inline-formula">NO<sub>2</sub></span> in Hong Kong as an example of a densely populated megacity with heavy traffic. For the study we use a combination of open-path remote sensing and in situ measurement techniques that allows us to separate temporal changes and spatial patterns and analyse them separately. Two measurement campaigns have been conducted, one in December 2010 and one in March 2017. Each campaign lasted for a week which allowed us to examine diurnal cycles, weekly patterns as well as spatially resolved long-term changes. We combined a long-path differential optical absorption spectroscopy (DOAS) instrument with a cavity-enhanced DOAS and applied several normalizations to the data sets in order to make the different measurement routes comparable. For the analysis of long-term changes we used the entire unfiltered data set and for the comparison of spatial patterns we filtered out the accumulation of <span class="inline-formula">NO<sub>2</sub></span> when stopping at traffic lights for focusing on the changes of <span class="inline-formula">NO<sub>2</sub></span> spatial distribution instead of comparing traffic flow patterns. For the generation of composite maps the diurnal cycle has been normalized by scaling the mobile data with coinciding citywide path-averaged measurement results.</p> <p>An overall descending trend from 2010 to 2017 could be observed, consistent with the observations of the Ozone Monitoring Instrument (OMI) and the Environment Protection Department (EPD) air quality monitoring network data. However, long-term difference maps show pronounced spatial structures with some areas, e.g. around subway stations, revealing an increasing trend. We could also show that the weekend effect, which for the most part of Hong Kong shows reduced <span class="inline-formula">NO<sub>2</sub></span> concentrations on Sundays and to a lesser degree on Saturdays, is reversed around shopping malls. Our study shows that spatial differences have to be considered when discussing citywide trends and can be used to put local point measurements into perspective. The resulting data set provides a better insight into on-road <span class="inline-formula">NO<sub>2</sub></span> characteristics in Hong Kong, which helps to identify heavily polluted areas and represents a useful database for urban planning and the design of pollution control measures.</p>
DOI:doi:10.5194/amt-11-6719-2018
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/https://doi.org/10.5194/amt-11-6719-2018
 Volltext: https://www.atmos-meas-tech.net/11/6719/2018/
 DOI: https://doi.org/10.5194/amt-11-6719-2018
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1693810492
Verknüpfungen:→ Zeitschrift

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