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霾污染环境大气能见度参数化方案的改进
胡俊,赵天良,张泽锋,邱玉珺,谭成好,吴峡生,等
作者单位E-mail
胡俊 气象灾害预报预警与评估协同创新中心 1037415247@qq.com 
赵天良 气象灾害预报预警与评估协同创新中心 josef_zhao@126.com 
张泽锋 气象灾害预报预警与评估协同创新中心  
邱玉珺 气象灾害预报预警与评估协同创新中心  
谭成好 气象灾害预报预警与评估协同创新中心  
吴峡生 气象灾害预报预警与评估协同创新中心  
摘要:
霾污染是高浓度大气气溶胶造成低能见度的大气现象,大气能见度参数化方案及能见度的预报对霾污染预报预警具有重要应用价值。该研究提出一种改进的大气能见度参数化方案,基于已有的南京地区大气能见度与大气总消光系数的公式,并依据Mie理论和大气分子的消光特性计算颗粒物和NO2的消光系数。利用空气质量模式WRF-Chem3.7模拟2013年12月南京地区两次霾污染个例,与观测数据对比表明模式能够准确地模拟大气颗粒物及NO2浓度的变化。利用模拟结果分别采用改进的能见度参数化方案、美国IMPROVE方案、Chen基于相对湿度建立的能见度方案计算能见度,结果表明改进的参数化方案模拟能见度与观测值的平均标准化偏差和平均偏差均显著减小,其值在两个个例中分别为17.19%、3.18%和517、173 m,且相关系数分别为0.76、0.87,优于其他两种参数化方案。对比不同能见度等级和湿度范围内改进的参数化方案与已有的两种参数化方案计算的能见度,结果显示改进的参数化方案在各相对湿度和能见度范围内标准化平均误差均小于其他两种参数化方案,其中在相对湿度<80%和能见度≥1 km范围内标准化平均误差均在50%以内。研究显示基于Mie理论并考虑大气分子消光特性的大气能见度参数化方案能够有效提高空气质量模式对霾污染下大气能见度的预报准确性。
关键词:  霾污染  大气能见度  参数化方案  消光系数  空气质量模式
DOI:
分类号:X5
基金项目:
An upgraded scheme of atmospheric visibility parameterization for haze pollution environment
HU Jun,ZHAO Tianliang,ZHANG Zefeng,QIU Yujun,TAN Chenghao,WU Xiasheng,et al
Abstract:
Haze pollution is an environmental event with low visibility caused by high levels of aerosols in the ambient atmosphere. The parameterization and modeling of visibility has an important application in haze prediction and warning. Based on a relation between atmospheric visibility and extinction coefficients in Nanjing and the Mie theory, an upgraded parameterization of atmospheric visibility is proposed with introducing the extinction coefficients of both atmospheric particulates and atmosphericNO2 molecules.By employed the air quality model WRF-Chem3.7, we simulated two haze episodes of December 2013 in Nanjing, and the simulation of atmospheric particulate matter and NO2 concentrations agreed well with the observations.Atmospheric visibility during the two haze episodes in Nanjing was calculated respectively with the upgraded parameterization, the existed IMPROVE and Chen parameterizations.The assessment of updated visibility scheme showed that the normalized mean bias (NMB) and mean bias of between visibility simulation and observation are distinctively improved respectively with the values of 17.19%, 3.18%, and 517, 173 m in the two episodes with the correlation coefficients of 0.76 and 0.87. By comparing the normalized mean error (NME) of visibility withthe change ranges of relative humidity (RH) and visibility, the NME of the upgraded parameterization was less than the other two parameterizations in all the range of RH and visibility.Especially at the level of RH <80% and visibility ≥1 Km, the NME of upgraded parameterization is below 50%.This study suggested that the updated visibility parameterization with introduction of the Mie theory into the calculation of the extinction coefficients of atmospheric NO2molecules and atmospheric particulates could significantly enhance numerical prediction level of visibility with WRF-Chem.
Key words:  haze pollution, atmospheric visibility, parameterization, extinction coefficient, air quality model