边界层方案对厄瓜多尔火山灰扩散和沉积模拟的影响

R. Parra
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引用次数: 4

摘要

火山灰会造成严重的空气污染事件和其他影响。大气输送模型是模拟火山灰扩散的关键。行星边界层(PBL)——在模式中无法明确表示的尺度上运行的湍流大气底部部分——强烈影响污染物的扩散。利用气象研究与预报(WRF3.7.1)模式和7种PBL方案对厄瓜多尔的气象进行了模拟:(1)延世大学(YSU);(2) Mellor-Yamada-Janjic (MYJ);(3)洪、潘(GFS);(5) MellorYamada Nakanishi和Niino Level 2.5 (MYNN2.5);(6) Boulac PBL (BL);(7)信宏(SH)。之后,将气象输出输入FALL3DV7.1.4模型,模拟厄瓜多尔过去6年发生的4次喷发(通古拉瓦火山:2012年12月16日、2013年7月14日和2014年2月1日)(科托帕希火山:2015年8月14日)的火山灰扩散和沉积。模拟的灰云与华盛顿VAAC探测到的灰云进行了定性比较。模拟的火山灰沉降量与位于这些火山周围站点的火山灰测量仪的记录进行了比较。对于所有的喷发和所有的PBL方案,模拟的火山灰云与探测到的相当一致。MYJ PBL方案在模拟火山灰沉降量方面表现最好(R2≥0.5)。在其他评估中,MYJ是在模拟空气污染物扩散时提供更好性能的PBL方案之一。这些结果表明,MYJ PBL方案对于厄瓜多尔安第斯地区的火山灰和空气质量模拟都是一个很好的选择。
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INFLUENCE OF BOUNDARY LAYER SCHEMES IN MODELING THE DISPERSION AND SEDIMENTATION OF VOLCANIC ASH IN ECUADOR
Volcanic ash can cause critical air pollution events and other impacts. Atmospheric transport models are pivotal for modeling volcanic ash dispersion. The Planetary Boundary Layer (PBL) – the turbulent atmospheric bottom part which operates on scales that cannot be explicitly represented in models – strongly influences the dispersion of pollutants. We simulated the meteorology over Ecuador, using the Weather Research and Forecasting (WRF3.7.1) model with 7 PBL schemes: (1) Yonsei University (YSU); (2) Mellor-Yamada-Janjic (MYJ); (3) Hong and Pan (GFS); (5) MellorYamada Nakanishi and Niino Level 2.5 (MYNN2.5); (6) Boulac PBL (BL); and (7) Shin-Hong (SH). After, the meteorological outputs were ingested into the FALL3DV7.1.4 model to simulate ash dispersion and sedimentation from 4 eruptions (Tungurahua volcano: 16 Dec. 2012, 14 Jul. 2013 and 1 Feb. 2014) (Cotopaxi volcano: 14 Aug. 2015) which took place in Ecuador in the last 6 years. Modeled ash clouds were qualitative compared with ash clouds detected by the Washington VAAC. Modeled ash fallout quantities were compared with records from ash meters located on stations around these volcanoes. For all the eruptions and all the PBL schemes, the modeled ash clouds were fairly consistent with the detected. The MYJ PBL scheme provided the best performance (R2 ≥ 0.5 for all the eruptions) in modeling ash fallout quantities. In other assessments, MYJ is among the PBL schemes that provided better performances when modeling the dispersion of air pollutants. These results suggest the MYJ PBL scheme could be a good choice both for volcanic ash and air quality modeling in the Andean region of Ecuador.
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