臭氧数值预报模型综述  

Review of Surface Ozone Modeling System

作　　者：刘烽 徐怡珊[3] 

机构地区：[1]Atmospheric Research Centre,Illinois State Water Survey,University of Illinois at Urbana-Champaign,Illinois 61820 [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 [3]中国环境监测总站国家环境保护环境监测质量控制重点实验室,北京100012

出　　处：《中国环境监测》2017年第4期1-16,共16页Environmental Monitoring in China

基　　金：国家重点研发计划试点专项项目“大气污染成因与控制技术研究”(2016YFC0203304)

摘　　要：光化学大气质量模型在研究臭氧(O_3)污染以及O_3预报方面具有核心作用,是O_3污染防治决策者的有力工具。文章结合目前中国及国际区域尺度光化学大气质量预报模型的研究与应用,重点论述与O_3有关的大气化学过程在数值预报模型中的数学表达和计算方法,阐述大气物理与大气化学过程在主流大气质量数值预报模型中的实现方法及其优势和缺陷,介绍用于数值预报模型的大气物理过程和湍流参数化方案的最新进展。就当前O_3数值模拟的主要输入资料进行讨论,强调那些易被忽视但又显著影响模型预报能力和效果的诸多因素以及模型效果评估的重要性。结合O_3与复合型大气污染的关系,强调区域大气质量数值预报模型的发展趋势与方向以及在大气环境管理方面的意义和作用。Photochemical air quality models play a key role in scientific investigation of ozone pollution and prediction of surface ozone levels. It provides quantitative support for the decision-makers in developing policies and strategies to reduce ozone pollution. As a review,this article discusses the current strengths and weaknesses of photochemical transport models from an intellectual point of view how those models deal with chemical and physical processes in the troposphere. Therefore,chemistry mechanisms used for photochemical air quality models and uncertainties caused by chemical kinetic rates are described in details.Advanced physical processes and planetary boundary schemes. As the main causes for uncertainties of model results,the preparation of model inputs including static geographical data,meteorological data,and emissions are well introduced. The importance of model performance evaluation is addressed. Finally,due to nonlinearly combined effect of ozone and other air pollutants including primary precursors and secondary aerosols on air quality,the model development and model application road map toward a multiple-pollutant air quality management are given at the end.

关 键 词：近地层臭氧 臭氧预报 空气质量数值预报模型 

分 类 号：X84[环境科学与工程—环境工程]