近地面NO_2浓度卫星遥感估算问题  

Scientific Problems for Ground NO_2 Concentration Estimation Using DOAS Method from Satellite Observation

作　　者：陈良富[1] 顾坚斌[1,2] 王甜甜[3] 陶金花[1] 余超[1,4] 

机构地区：[1]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101 [2]中国科学院大学,北京100049 [3]江苏省环境监测中心,江苏南京210036 [4]清华大学,北京100084

出　　处：《环境监控与预警》2016年第3期1-5,共5页Environmental Monitoring and Forewarning

基　　金：八六三计划基金资助项目(2014AA06A500)

摘　　要：对卫星遥感监测大气NO_2的差分算法涉及的科学问题进行了综述,包括去除大气散射和地表反射噪声影响、大气拉曼散射引起的Ring效应校正、不同大气成分分离和观测垂直归一化等问题。国际上通过剔除平流层NO_2获得对流层柱浓度产品,文章绕开平流层NO_2获取问题,提出了结合大气化学模式模拟的垂直廓线直接估算近地面NO_2浓度技术方法,以更好地满足环境空气质量的观测需求,阐述了几个影响NO_2反演精度的相关问题。This paper presented some scientific problems existed in ground NO_2 concentration retrieved from satellite observations using differential optical absorption spectroscopy( DOAS),including the noises caused by atmospheric aerosol scattering and land surface reflection,Ring effects resulted from atmospheric Raman scattering,separation method of different trace gases from the measurements and vertical normalization of NO_2 inclined column density etc. Generally,the NO_2 tropospheric vertical column density is the final product from satellite measurements for users over the world,but the ground NO_2 concentration is the most concerned by air quality monitoring and public health,so in this manuscript we put forward the ground NO_2 concentration estimation based on the combination of vertical profiles of NO_2 concentration from RAMS-CMAQ modeling and vertical column density from satellite. Finally,some other scientific issues affecting the NO_2 concentration inversed from space measurements are presented.

关 键 词：二氧化氮 柱浓度 拉曼散射 大气质量因子 差分吸收光谱算法 

分 类 号：X87[环境科学与工程—环境工程]