Journals / Atmospheric Pollution Research / 2016 / Cilt: 7 - Sayı: 6

Synoptic weather evolution and climate drivers associated with winter air pollution in New Zealand

Pages
1082–1089
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Both of these results indicate thatthere is some potential for predicting days in which atmospheric conditions could favour elevated PM10concentrations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Particulate matter pollution of less than 10 mm in diameter (PM10) is a problem for some regional andurban centres across New Zealand during the winter period when solid fuel (wood and coal) fires areused for home heating.
📊
Key Findings & Data:Elevated levels of PM10 concentrations occur during stable atmospheric conditions,when cool air temperatures and low wind speeds allow for a surface inversion to occur and trapPM10.
💡
Conclusion & Impact:Both of these results indicate thatthere is some potential for predicting days in which atmospheric conditions could favour elevated PM10concentrations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Particulate matter pollution of less than 10 mm in diameter (PM10) is a problem for some regional andurban centres across New Zealand during the winter period when solid fuel (wood and coal) fires areused for home heating. Elevated levels of PM10 concentrations occur during stable atmospheric conditions,when cool air temperatures and low wind speeds allow for a surface inversion to occur and trapPM10. This study examined the relationships between PM10 and local and large-scale synoptic conditionsat daily and seasonal scales. Minimum temperature and wind speed were both negatively correlatedwith PM10 during the winter season, whilst the combination of the two can explain 30e54% of variabilityin average PM10. Synoptic-scale daily composites of high PM10 days showed the evolution of an anticyclonein the Tasman Sea, with an injection of cool air over New Zealand and persistent south-westerlywinds leading to cold and stable conditions on the day of exceedance. Both of these results indicate thatthere is some potential for predicting days in which atmospheric conditions could favour elevated PM10concentrations. Furthermore, at the seasonal scale, weaker westerly winds were found to be associatedwith winters with higher exceedance days, although the relationship is not straightforward. Thesecharacteristics can be associated with other, predictable large-scale climate drivers such as the El Nino- ~Southern Oscillation, and may aid in identifying years in which a higher risk of PM10 pollution eventsexists.

🔖

Cite This Article

FİDDES, S. L., PEZZA, A. B., MİTCHELL, T. A., KOZYNİAK, K., MİLLS, D. (2016). Synoptic weather evolution and climate drivers associated with winter air pollution in New Zealand. Atmospheric Pollution Research, Cilt: 7 - Sayı: 6, 1082–1089. https://ajindex.com/articles/351391

References (2)

  1. Ancelet, T., Davy, P.K., Mitchell, T., Trompetter, W.J., Markwitz, A., Weatherburn, D.C., 2012. Identification of particulate matter sources on an hourly time-scale in a wood burning community. Environ. Sci. Technol. 46 (9), 4767e4774. Ancelet, T., 2014. Particulate matter sources on an hourly timescale in a rural community during the winter. J. Air Waste Manag. Assoc. 64 (5), 501e508. http://dx.doi.org/10.1080/10962247.2013.813414.
  2. Ashok, K., Nakamura, H., Yamagata, T., 2007. Impacts of ENSO and Indian Ocean dipole events on the Southern Hemisphere storm-track activity during austral winter. J. Clim. 20 (13), 3147e3163. Australian Air Quality Group Woodsmoke, 2015. Policies from Elsewhere. Retrieved from. http://woodsmoke.3sc.net/policies-elsewhere (accessed 28.10.15). Beaver, S., Palazoglu, A., Singh, A., Soong, S.T., Tanrikulu, S., 2010. Identification of weather patterns impacting 24-h average fine particulate matter pollution. Atmos. Environ. 44 (14), 1761e1771. http://dx.doi.org/10.1016/ j.atmosenv.2010.02.001. Beaver, S., Palazoglu, A., 2006. Cluster analysis of hourly wind measurements to reveal synoptic regimes affecting air quality. J. Appl. Meteorol. Climatol. 45 (12), 1710e1726. http://dx.doi.org/10.1175/JAM2437.1. Bureau of Meteorology, 2015. ENSO Tracker. Retrieved from. http://www.bom.gov. au/climate/enso/tracker/#tabs¼Tracker-history (accessed 14.09.15). Bond, T., Doherty, S., Fahey, D., Forster, P., Berntsen, T., DeAngelo, B., Zender, C., 2013. Bounding the role of black carbon in the climate system: a scientific assessment. J. Geophys. Res. Atmos. 118 (11), 5,380e5,552. Bluett, J., Wilton, E., Franklin, P., Dey, K., Aberkane, T., Petersen, J., Sheldon, P., 2007. PM10 in New Zealand's Urban Air: a Comparison of Monitoring Methods. Report prepared for Foundation for Science Technology and Research, NIWA. Report CHC2007-0, Christchurch. Davy, P.K., 2007. Composition and Sources of Aerosol in the Wellington Region of New Zealand. PhD thesis. Victoria University of New Zealand. Davy, P., Trompetter, W.J., Markwitz, A., Weatherburn, D.C., 2005. Elemental analysis and source apportionment of ambient particulate matter at Masterton, New Zealand. Int. J. PIXE 15, 225e231. Davy, P.K., Ancelet, T., Trompetter, W.J., Markwitz, A., Weatherburn, D.C., 2012. Composition and source contributions of air particulate matter pollution in a New Zealand suburban town. Atmos. Pollut. Res. 3, 143e147. Dee, D.P., Uppala, S.M., Simmons, A.J., et al., 2011. The ERA