引用本文:胡俊,赵天良,张泽锋,邱玉珺,谭成好,吴峡生,等.霾污染环境大气能见度参数化方案的改进[J].环境科学研究,2017,30(11):1680-1688.
HU Jun,ZHAO Tianliang,ZHANG Zefeng,QIU Yujun,TAN Chenghao,WU Xiasheng,et al.Upgradeding Atmospheric Visibility Parameterization Scheme for Haze Pollution Environment[J].Reserrch of Environmental Science,2017,30(11):1680-1688.]
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霾污染环境大气能见度参数化方案的改进
胡俊1,2, 赵天良1,2, 张泽锋1,2, 邱玉珺1,2, 谭成好1,2, 吴峡生1,2
1. 南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏 南京 210044;2. 南京信息工程大学, 中国气象局气溶胶与云降水重点开放实验室, 江苏 南京 210044
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,为了完善目前空气质量模式的大气能见度参数化方案,以准确地预报霾污染过程的能见度变化,基于已有的大气总消光系数与大气能见度的关系,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,提出一种改进的大气能见度参数化方案.为了验证这一改进的参数化方案的大气能见度预报性能,①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,并且与实际观测数据对比,证实其能够准确地模拟大气颗粒物和NO2的浓度变化;②利用模拟的大气颗粒物和NO2的浓度数据,分别采用改进的能见度参数化方案及已有的IMPROVE方案和CHEN的能见度参数化等3个方案,计算两次霾污染个例的大气能见度变化;③与观测能见度比较,评估3个能见度参数化方案的模拟准确性。评估表明,改进的参数化方案模拟的两个霾污染个例能见度的平均标准化偏差和平均偏差分别为17.19%、3.18%和517、173 m,并且和观测能见度的相关系数分别提高到0.76、0.87,其能见度模拟的准确性优于其它两种已有的参数化方案,并在不同相对湿度(RH)和能见度范围内改进的参数化方案模拟的标准化平均误差均小于其它两种参数化方案,其中,在RH<80%和能见度 ≥ 1 km范围内标准化平均误差均低于50%.研究显示,改进的大气能见度参数化方案能够有效地提高空气质量模式的霾污染环境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  WRF-Chem
DOI:10.13198/j.issn.1001-6929.2017.03.19
分类号:X51
基金项目:国家自然科学基金联合重大研究计划项目(91544109);国家科技支撑计划项目(2014BAC22B04);国家环境保护公益性行业科研专项(201509001)
Upgradeding Atmospheric Visibility Parameterization Scheme for Haze Pollution Environment
HU Jun1,2, ZHAO Tianliang1,2, ZHANG Zefeng1,2, QIU Yujun1,2, TAN Chenghao1,2, WU Xiasheng1,2
1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China;2. Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract:
Haze pollution is an environmental event caused by high levels of aerosols in ambient atmosphere resulting in low visibility. In order to improve the atmospheric visibility parameterization in air quality model for better prediction of visibility in haze events, an upgraded parameterization of atmospheric visibility is proposed with introducing the extinction coefficients of both atmospheric particulates and atmospheric NO2 molecules, based on a relation between atmospheric visibility and extinction coefficients in Nanjing and the Mie theory. To evaluate the capacity of visibility modeling with the upgraded parameterization, (1) This study simulated two haze episodes of December 2013 in Nanjing with the air quality model WRF-Chem3.7, and the simulation of atmospheric particulate matter (PM) and NO2 concentrations agreed well with the observations; (2) With the simulated PM and NO2 concentrations, atmospheric visibility during the two haze episodes in Nanjing was calculated respectively with the upgraded parameterization, the existed IMPROVE and Chen parameterizations; (3) The simulation validation of the updated visibility scheme showed that the normalized mean bias and mean bias between visibility simulation and observation were distinctively improved, with the values of 17.19%, 3.18%, and 517, 173 m respectively during the two episodes, with high correlation coefficients of 0.76 and 0.87. By comparing the normalized mean error (NME) of visibility with the change ranges of relative humidity (RH) and visibility, NME of the upgraded parameterization was less than the other two parameterizations in all the ranges of RH and visibility. Especially at the level of RH<80% and visibility ≥ 1 km, the NME values kept below 50%. The updated visibility parameterization could significantly enhance numerical prediction level of atmospheric visibility.
Key words:  haze pollution  atmospheric visibility  parameterization  extinction coefficient  WRF-Chem