基于主被动遥感方法探测大气污染物有效混合高度及其对大气复合污染的影响

近年来，经常性的大气污染物爆发性增长导致环境空气质量急剧下降，其原因还需探索。污染物在大气中的浓度分布随高度变化，在一定的排放强度和气象条件下，每种污染物在对流层中都有一个有效的混合高度，如果仅仅依靠地面附近的测量数据，很难准确得到污染物在大气中的真实浓度和总量，给研判大气污染过程和污染程度带来影响。本项目基于主、被动的环境光学遥感技术，针对大气复合污染过程中的臭氧和二氧化氮，利用近地面的观测数据和基于太阳散射光的地基被动差分光学吸收光谱测量数据，分析污染物地面质量浓度与大气垂直柱浓度之间的关系，计算对流层臭氧和二氧化氮的有效混合高度，探索将污染物浓度归一化到单位高度内的数学建模方法，并以此为基础，研究复合污染过程中臭氧和二氧化氮的浓度在大气中的真实演变过程，分析地面臭氧生成潜势，揭示重污染期间污染物浓度爆发性增长的原因，从而全面认识一次污染物排放对大气复合污染，特别是对大气臭氧浓度的影响

In recent years, the explosive growth of atmospheric pollutants led to a sharp decline in air quality, but the reason is unclear. The distribution of pollutants in the air is changed with height, in certain emission and meteorological conditions, every kinds of pollutants in the troposphere have an effective mixing height, if only based on the data measured near ground, it is difficult to get the real concentration and total amount of the pollutants in the atmosphere, and then there will be uncertain to some extent to judge the atmospheric pollution process and pollution levels. This proposal will focus on the change of ozone and nitrogen dioxide in the complex air pollution process based on the active and passive optical remote sensing technology. According to measurement results near the ground and in the troposphere, the.concentration near ground and the column density in the troposphere will be analyzed, and the effective mixing height of the pollutants will be calculated. The method of mathematical modeling to normalize the pollutants to unit height will be explored. According to this method, to study the real change procession of ozone and nitrogen dioxide in complex pollution atmosphere, to analyze potential production capacity of surface ozone, and to reveal the cause of explosive growth of pollutants concentration during the heavy pollution episode. So as to fully understand the impact of the emission of primary pollutants on air pollution, especially on ozone.