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DOI10.1016/j.atmosenv.2020.117607
Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley
Onwukwe C.; Jackson P.L.
发表日期2020
ISSN1352-2310
卷号233
英文摘要Three-dimensional chemical transport models are useful for spatial and temporal analyses of outdoor air quality. However, the suitability of boundary-layer parameterizations for air pollution modeling over deep, coastal valleys has seldom been tested. An evaluation of the Community Multiscale Air Quality (CMAQ) model performance for five planetary boundary-layer schemes (PBL) with the Weather Research and Forecasting (WRF) meteorological driver was conducted at 1-km horizontal resolution for fine particulate matter (PM2.5), sulfur dioxide (SO2) and nitrogen dioxide (NO2) over the Terrace-Kitimat valley of northwestern British Columbia, Canada. The top-ranked schemes were Mellor-Yamada-Nakanishi-Niino Level 3 (MYNN3) for PM2.5 and Mellor-Yamada-Janjic for NO2. Both schemes ranked high for absolute SO2 levels, but the MYJ and Asymmetric Convective Model, version 2 (ACM2) schemes qualitatively emulated peak summertime diurnal concentrations in the near field of elevated point sources. Greater nighttime SO2 concentrations with MYNN3 and Yonsei University PBL schemes, in less agreement with station monitoring 8 km downwind of emissions from tall stacks, suggested sustained pollutant mixing and downward transport within the nocturnal boundary layer. Consequently, for these two schemes with representations of nonlocal mass flux transfers between model layers, inland penetrations of pollutant plumes were farther than those of ACM2, MYJ, and University of Washington schemes. For NO2 and PM2.5 that mainly discharged passively from fugitive, ground-level sources, hence are less accurately quantified than SO2 emissions, the fully local MYJ, and semi-local MYNN3 PBL schemes more reasonably reproduced peak season concentrations than other schemes. It is concluded that for air pollution modeling in rugged, remote areas, the mode of pollutant emissions is important for the choice of a PBL scheme. PM2.5 was consistently underestimated by the various PBL schemes, and aspects for improving CMAQ simulations for a complex environment are discussed. © 2020 Elsevier Ltd
英文关键词British Columbia; CMAQ modeling; Complex terrain; PBL schemes
语种英语
scopus关键词Air quality; Atmospheric thermodynamics; Chemical analysis; Landforms; Nitrogen oxides; Particles (particulate matter); Quality control; Sulfur dioxide; Weather forecasting; British Columbia , Canada; Community multi-scale air qualities; Fine particulate matter (PM2.5); Nocturnal boundary layers; Planetary boundary layers; Spatial and temporal analysis; Three dimensional chemicals; Weather research and forecasting; Boundary layers; nitrogen dioxide; sulfur dioxide; atmospheric plume; atmospheric pollution; atmospheric transport; boundary layer; fjord; gas flow; mixing; nitrogen dioxide; parameterization; particulate matter; sulfur dioxide; air monitoring; air pollutant; air pollution; air quality; Article; boundary layer; concentration (parameter); forecasting; model; particulate matter; pollution monitoring; priority journal; quantitative analysis; simulation; British Columbia; Canada; Kitimat
来源期刊Atmospheric Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/129453
作者单位Natural Resources and Environmental Studies, University of Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9, Canada
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Onwukwe C.,Jackson P.L.. Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley[J],2020,233.
APA Onwukwe C.,&Jackson P.L..(2020).Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley.Atmospheric Environment,233.
MLA Onwukwe C.,et al."Evaluation of CMAQ modeling sensitivity to planetary boundary layer parameterizations for gaseous and particulate pollutants over a fjord valley".Atmospheric Environment 233(2020).
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