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Urban Air Quality in a Coastal City: Wollongong during the MUMBA Campaign

机译:沿海城市的城市空气质量:MUMBA运动期间的卧龙岗市

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We present findings from the Measurements of Urban, Marine and Biogenic Air (MUMBA) campaign, which took place in the coastal city of Wollongong in New South Wales, Australia. We focus on a few key air quality indicators, along with a comparison to regional scale chemical transport model predictions at a spatial resolution of 1 km by 1 km. We find that the CSIRO chemical transport model provides accurate simulations of ozone concentrations at most times, but underestimates the ozone enhancements that occur during extreme temperature events. The model also meets previously published performance standards for fine particulate matter less than 2.5 microns in diameter (PM 2.5 ), and the larger aerosol fraction (PM 10 ). We explore the observed composition of the atmosphere within this urban air-shed during the MUMBA campaign and discuss the different influences on air quality in the city. Our findings suggest that further improvements to our ability to simulate air quality in this coastal city can be made through more accurate anthropogenic and biogenic emissions inventories and better understanding of the impact of extreme temperatures on air quality. The challenges in modelling air quality within the urban air-shed of Wollongong, including difficulties in accurate simulation of the local meteorology, are likely to be replicated in many other coastal cities in the Southern Hemisphere.
机译:我们介绍了在澳大利亚新南威尔士州沿海城市卧龙岗市进行的城市,海洋和生物空气测量(MUMBA)活动的发现。我们关注一些关键的空气质量指标,并与在1 km x 1 km的空间分辨率下与区域规模的化学迁移模型预测进行比较。我们发现CSIRO化学迁移模型可以在大多数时间提供精确的臭氧浓度模拟,但是低估了极端温度事件期间发生的臭氧增强作用。该模型还符合以前发布的性能标准,适用于直径小于2.5微米的细颗粒物(PM 2.5)和较大的气溶胶分数(PM 10)。在MUMBA活动期间,我们探索了在这个城市空域内观察到的大气成分,并讨论了对城市空气质量的不同影响。我们的研究结果表明,可以通过更准确的人为和生物排放清单以及对极端温度对空气质量影响的更好了解来进一步提高我们在这个沿海城市中模拟空气质量的能力。在卧龙岗市市区进行空气质量建模的挑战,包括在精确模拟当地气象方面的困难,可能会在南半球的许多其他沿海城市中重复出现。

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