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A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode—Part Ⅱ: Gas and aerosol predictions

机译:MM5-CMAQ在1999年夏季南方氧化剂研究中的综合性能评估-第二部分:气体和气溶胶的预测

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Gas and aerosol predictions from CMAQ simulations with horizontal grid spacings of 8- and 32-km are evaluated against available observations from CASTNet, IMPROVE, AIRS-AQS, SOS99/SOS99NASH, SEARCH, and ARIES for the southeastern US for the period of 1-10 July 1999. The predictions evaluated in this work include mixing ratios of O_3 (hourly, maximum 1-h, and 8-h average), NO_x, HNO_3, NO_y, and mass concentrations of PM_(10), PM_(2.5), and PM_(2.5) components. Our evaluation has shown that CMAQ tends to underpredict maximum 1-h O_3 mixing ratios on high O_3 days at some sites. It overpredicts the maximum and minimum hourly O_3 mixing ratios for most low O_3 days, the daytime and nighttime hourly, and the maximum 8-h average O_3 mixing ratios on most days at all sites. The model performance for hourly O_3 mixing ratios generally meets EPA's criteria but deteriorates for maximum 1- and 8-h average O_3 mixing ratios. CMAQ underpredicts the mass concentrations of PM_(10), PM_(2.5), and PM_(2.5) composition and fails to reproduce their temporal variations (except for sulfate). Largest underpredictions occur for organic matter (OM_(2.5)) and nitrate_(2.5) among all PM components. These underpredictions and overpredictions may be caused by inaccurate meteorological predictions (e.g., the PBL height, wind speed/direction, vertical mixing, temperature, and relative humidity) and boundary conditions for chemical species (e.g., O_3), underestimation in emissions (e.g., NO_x, NH_3, and primary OM), as well as uncertainties in model assumptions and treatments in aerosol chemistry and microphysics.
机译:根据CASTNet,IMPROVE,AIRS-AQS,SOS99 / SOS99NASH,SEARCH和ARIES在美国东南部为1-期间的水平观测值,评估了水平网格间隔为8和32 km的CMAQ模拟中的气体和气溶胶预测1999年7月10日。这项工作中评估的预测包括O_3(每小时,最大1-h和平均8h),NO_x,HNO_3,NO_y和PM_(10),PM_(2.5)的质量浓度,和PM_(2.5)组件。我们的评估表明,在某些地点,高O_3天CMAQ倾向于低估最大1-h O_3混合比。它高估了大多数低O_3天,白天和黑夜每小时的最大和最小每小时O_3混合比率,以及所有站点上大多数日子中最大的8小时平均O_3混合比率。每小时O_3混合比的模型性能通常符合EPA的标准,但最大1小时和8小时平均O_3混合比会降低。 CMAQ低估了PM_(10),PM_(2.5)和PM_(2.5)成分的质量浓度,并且无法再现其时间变化(硫酸盐除外)。在所有PM成分中,有机物(OM_(2.5))和硝酸盐_(2.5)的预测最大。这些预测不足和预测过度可能是由于气象预测不准确(例如,PBL高度,风速/方向,垂直混合,温度和相对湿度)和化学物质的边界条件(例如,O_3),排放的低估(例如, NO_x,NH_3和主要OM),以及气溶胶化学和微观物理学中模型假设和处理的不确定性。

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