| 基于观测的模型(OBM)的发展历程及其在我国大气化学研究中的应用与展望 |
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| 引用本文： | 张英南,薛丽坤,陈天舒,申恒青,李红,王文兴.基于观测的模型(OBM)的发展历程及其在我国大气化学研究中的应用与展望[J].环境科学研究,2022,35(3):621-632. |
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| 作者姓名： | 张英南 薛丽坤 陈天舒 申恒青 李红 王文兴 |
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| 作者单位： | 1.山东大学环境研究院，山东 青岛 266237 |
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| 基金项目： | 山东省自然科学基金;国家自然科学基金 |
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| 摘 要： | 基于观测的模型OBM(observation-based model)作为分析大气化学过程的重要方法之一，在深度挖掘大气综合观测数据以及全面认识区域大气复合污染成因方面具有广阔的应用潜力. 为进一步推进OBM在大气化学研究中的应用并提升PM2.5和臭氧(O3)协同防控的有效性和科学性，本文梳理了OBM结构和内置大气化学机制的发展历程，并总结了应用OBM解析O3和二次气溶胶生成机制及其他活性成分化学机制的研究成果. 结果表明:OBM结构和内置大气化学机制在不断更新，使OBM由最初用于O3生成机制的研究逐步发展成为功能强大的大气化学全过程分析工具，为我国大气复合污染防治工作提供了重要的技术支撑. 但是，OBM自身结构的局限性、我国尚未掌握OBM核心技术以及可利用的观测数据仍有限等原因制约了OBM在我国大气化学研究中的进一步应用和推广. 针对上述问题提出如下建议:在实际应用中应根据大气化学过程解析需求来选择合适的模型，充分发挥OBM的优势；开发具有中国自主知识产权的在线OBM运行系统和大气化学机制；建立有代表性的区域监测网络为OBM的进一步应用和推广提供综合数据支撑.
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| 关 键 词： | 基于观测的模型(OBM) 大气化学机制 区域大气复合污染 环境空气臭氧 二次气溶胶 |
| 收稿时间： | 2021-10-06 |
Development History of Observation-Based Model (OBM) and Its Application and Prospect in Atmospheric Chemistry Studies in China |
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| ZHANG Yingnan,XUE Likun,CHEN Tianshu,SHEN Hengqing,LI Hong,WANG Wenxing.Development History of Observation-Based Model (OBM) and Its Application and Prospect in Atmospheric Chemistry Studies in China[J].Research of Environmental Sciences,2022,35(3):621-632. |
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| Authors: | ZHANG Yingnan XUE Likun CHEN Tianshu SHEN Hengqing LI Hong WANG Wenxing |
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| Affiliation: | 1.Environment Research Institute, Shandong University, Qingdao 266237, China2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China |
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| Abstract: | Observation-based model (OBM) is one of the most widely used tools for analyzing atmospheric chemical processes, and it has broad application prospects in the in-depth analysis of observational data and comprehensive understanding of regional complex air pollution. To promote the application of OBM in atmospheric chemistry studies and to promote coordinated prevention and control of PM2.5 and O3 effectively and scientifically, the development history of OBM structures and its built-in atmospheric chemical mechanisms, and the application of OBM in identification of formation regimes of O3 and secondary aerosols as well as the chemistry of other important trace gases were summarized. The results demonstrated that the upgrading of the OBM structures and atmospheric chemical mechanisms prompted the application of OBM to be a powerful tool for comprehensive analyses of atmospheric chemical processes rather than just identifying O3 formation regimes. Therefore, OBM has played an important role in the prevention and control of regional complex air pollution in China due to its enhanced applicability. However, the limitations of OBM structures, the lack of core technologies for OBM, and limited observational data restricted the further application and promotion of OBM in atmospheric studies in China. The following suggestions are put forward for solving these issues: choose appropriate numeric models for application and take full advantages of OBM in practical applications; develop online systems for running OBM and localized atmospheric chemical mechanisms with China's independent intellectual property rights; establish representative regional monitoring networks to provide comprehensive data for OBM applications. |
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