基于地基遥感观测的大气气溶胶成分及混合状态联合反演研究

项目名称： 基于地基遥感观测的大气气溶胶成分及混合状态联合反演研究

项目编号： No.41501395

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 天文学、地球科学

项目作者： 谢一凇

作者单位： 中国科学院遥感与数字地球研究所

项目金额： 20万元

中文摘要： 大气气溶胶成分及混合状态决定了气溶胶的光学/微物理特性，是气候变化和大气环境研究的重要内容。气溶胶地基遥感技术具有不破坏气溶胶自然状态、实时获取大范围、整层大气气溶胶信息的优势，为气溶胶成分研究提供了可能。由气溶胶表观特性追溯其成分及混合状态的研究还不多见。因此如何利用高精度的气溶胶特性参数，准确获得气溶胶成分含量并清晰描述粒子混合状态，是本项目重点关注的科学问题。本项目拟建立遥感可识别的、能较好描述大气气溶胶组成的成分模型，发展每种成分的遥感反演方法，开展气溶胶成分混合模型研究，建立由气溶胶成分组成与混合状态到特性参数的正向模型，基于最小二乘原理实现二者的联合反演，并利用同步观测验证气溶胶成分反演结果。本项目首次将散射性有机碳加入到成分模型中，并拟建立基于内、外混合组合的新型混合模型。本项目的研究方案具有较好的可移植性，可为未来基于卫星数据获取全球尺度的气溶胶成分时空分布信息提供支撑。

中文关键词： 气溶胶；地基遥感；气溶胶成分；混合状态；光学/微物理特征

英文摘要： The composition and mixing state of atmospheric aerosol mainly determine its optical and microphysical properties and therefore is now a very important subject in the research fields of global climate change and atmospheric environment effect. Ground-based remote sensing technology, known for its abilities of acquiring column aerosol properties in real time and large scale while maintaining the aerosol natural state in ambient environment, is therefore a potentially effective approach to detect aerosol composition information. However, the research on aerosol composition and mixing state from its apparent properties is proved to be a posteriori progress, which needs some complex models and calculations. And so far we haven't seen many solid and referable research results in this field. Therefore, this research primarily focuses on how to utilize the high-precision aerosol optical and microphysical properties acquired from ground-based measurements to quantitatively obtain the aerosol composition and to clearly delineate the particulate mixing state. In this study, we plan to establish an aerosol composition model that is able to sufficiently describe atmospheric aerosol and is also identifiable in remote sensing. Then we investigate the retrieval method for each component in this model and establish a new aerosol mixing model at the same time. Based on the new model, we can perform the forward modelling from composition and mixing state to optical and microphysical properties. After that we can get the aerosol composition and mixing state information by realizing the joint retrieval based on least squares principle, and ultimately verify the retrieval results through synchronous experiments of sun/sky radiometer, chemical sampling and Lidar measurements. For the first time, this research adds scattering organic carbon, which is a very important component in the atmosphere, to the composition model to investigate its composition information. This research also intends to establish an innovative aerosol mixing model based on internal-external mixing combination, which can offer a better description for the mixing state of atmospheric aerosol than other models. The proposed research scheme has good portability and can be easily transplanted to satellite remote sensing, and therefore is able to provide methodological support for acquiring temporal-spatial distribution of aerosol composition at the global scale based on satellite observation in the near future.

英文关键词： aerosol;ground-based remote sensing;aerosol composition;mixing state;optical/microphysical properties