- MAX-DOAS,50

Jiangyi Zheng1, Pinhua Xie2, Xin Tian3

  • 1Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China.

概括

一个新的算法,McPrA,通过减少对先验数据的依赖来改善MAX-DOAS测量中的微量气体配置分析. 这种方法提高了评估空气污染物及其环境健康风险的准确性.