| 引用本文: | 谭成好，陈昕，赵天良*，单云鹏.空气质量数值模型的构建及应用研究进展[J].环境监控与预警,2014,6(6):1-7 |
| TAN Cheng hao,CHEN Xin,ZHAO Tian liang*,SHAN Yun peng.Research Progress on the Development and Application of Air Quality Models[J].Environmental Monitoring and Forewarning,2014,6(6):1-7 |
|
| 摘要: |
| 综述了近年来国内外空气质量模型的发展历程、空气质量数值模型构建的关键技术以及应用研究。指出了目前空气质量数值预报及应用主要面临气象条件，尤其是大气边界层模拟、大气污染物排放源和大气物理化学过程等问题。提出，应当通过规范化制作和完善排放源清单数据，建立统一的排放源分析标准，提高排放源数据的准确性；多向发展观测手段，加大监测密度和频率，并进行实验室化学分析，提出适合我国的大气物理化学机制。就空气质量模式而言，对模式方案进行优化，以及使用气象、卫星资料同化等技术手段，将其与观测相结合，构建监测与预报系统相结合的统一体系，应用于多平台。 |
| 关键词: 空气质量模式 大气物理 大气化学 数值预报 |
| DOI： |
| 分类号:X51 |
| 基金项目:江苏省科技支撑计划-社会发展重大研究基金资助项目(BE2012771);南京信息工程大学人才启动基金资助项目(20110304);江苏高校优势学科建设工程基金资助项目(PAPD) |
|
| Research Progress on the Development and Application of Air Quality Models |
|
TAN Cheng hao,CHEN Xin,ZHAO Tian liang*,SHAN Yun peng1,2
|
|
1.Climate and Weather Disasters Collaborative Innovation Center,Nanjing University of Information Science &Technology;2.Key Laboratory for Aerosol Cloud Precipitation of China Meteorological Administration ,Nanjing,Jiangsu 210044,China
|
| Abstract: |
| This paper reviewed the development process of air quality model in China and abroad, the key technology in numerical model of air quality and its application research. The modeling prediction of air quality was currently confronting three major issues: the large uncertainties in air pollutant emission inventory, modeling meteorology conditions especially boundary layer and the physical and chemical processes in the atmosphere. It was proposed that the standardized production and the more precise data of emission inventory could improve the accuracy of emission data with the unified standard in analyzing emission sources, and the multi direction development of measurement methods and the enhancement in both monitoring density and frequency with lab study would be used to build the suitable physical and chemical mechanism for Chinese air environment. By optimizing the parameterization schemes in air quality models and introducing the technology of data assimilation with meteorology and satellite observations as well as the air quality measurement, a unified system integrating air quality monitoring and modeling prediction subsystems would be realized in the multi platform of application. |
| Key words: Air quality model Atmospheric physics Atmospheric chemistry Numerical simulation |
