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Photochemical modeling and analysis of meteorological parameters during ozone episodes in Kaohsiung, Taiwan

机译:台湾高雄臭氧事件期间的光化学建模和气象参数分析

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The events of high ozone concentrations and meteorological conditions covering the Kaohsiung metropolitan area were investigated based on data analysis and model simulation. A photochemical grid model was employed to analyze two ozone episodes in autumn (2000) and winter (2001) seasons, each covering three consecutive days (or 72h) in the Kaohsiung City. The potential influence of the initial and- boundary conditions on model performance was assessed. Model performance can be improved by separately considering the daytime and nighttime ozone concentrations on the lateral boundary conditions of the model domain. The sensitivity analyses of ozone concentrations to the emission reductions in volatile organic compounds (VOC) and nitrogen oxides (NOx) show a VOC-sensitive regime for emission reductions to lower than 30-40% VOC and 30-50% NOx and a NOx-sensitive regime for larger percentage reductions. Meteorological parameters show that warm temperature, sufficient sunlight, low wind, and high surface pressure are distinct parameters that tend to trigger ozone episodes in polluted urban areas, like Kaohsiung. (C) 2003 Elsevier Science Ltd. All rights reserved. [References: 22]
机译:在数据分析和模型模拟的基础上,研究了覆盖高雄市区的高浓度臭氧事件和气象条件。采用光化学网格模型分析了高雄市在秋季(2000年)和冬季(2001年)两个臭氧事件,每个臭氧事件连续三天(或72h)。评估了初始和边界条件对模型性能的潜在影响。通过在模型域的横向边界条件下分别考虑白天和晚上的臭氧浓度,可以提高模型性能。臭氧浓度对挥发性有机化合物(VOC)和氮氧化物(NOx)排放量减少的敏感性分析显示,VOC敏感机制可将排放量减少到30-40%VOC和30-50%NOx以及NOx-降低百分比的敏感机制。气象参数表明,温暖的温度,充足的阳光,低风和较高的表面压力是不同的参数,它们往往会在高雄等受污染的城市地区引发臭氧事件。 (C)2003 Elsevier ScienceLtd。保留所有权利。 [参考:22]

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