Polycyclic aromatic hydrocarbons (PAHs) are widely found in the atmosphere, soil and water, which are seriously harmful to animals, plants and humans. In order to rapidly determine the trace PAHs in water environment, the strategy, excitation-emission fluorescence spectroscopy coupled with self-weighted alternating normalized residual fitting algorithm (SWANRF), was proposed to determine phenanthrene, anthracene and fluoranthene in lake water. Compared with the self-weighted alternating trilinear decomposition method, SWANRF could give more satisfactory concentration prediction results. The average recoveries of phenanthrene, anthracene and fluoranthene were (97.1 ± 6.9)%, (99.1 ± 8.8)% and (96.8 ± 3.8)% respectively. The predicted mean square root error values were 0.250 μg L-1 for phenanthrene，0.269 μg/L for anthracene and 0.245 μg/L for fluoranthene. The experimental results demonstrate that the proposed method can achieve the simultaneous rapid determination of trace polycyclic aromatic hydrocarbons in lake water with unknown interference, and the method is reliable.

 Fengyun-3D (FY-3D) was successfully launched on November 15，2017. For the first time， it was equipped with the High-spectral Resolution Infrared Atmospheric Sounder (HIRAS)，which was developed and manufactured entirely by the Shanghai Institute of Technical Physics (SITP)， China. HIRAS measurements were mainly used for numerical weather forecast and obtaining temperature， moisture， and green-house gases profiles. To meet the high accuracy of the sounding ability， the spectral resolution of HIRAS is required to reach 0.625 cm-1， the radiation accuracy is required to reach 0.5 K， and the spectral frequency accuracy is required to reach 10×10-6. An infrared (IR) interferometer is needed to accurately evaluate and monitor the spectral frequency accuracy before data application because the accuracy of the spectral frequency will directly affect the precision of radiation measurements. In this study， spectral shifts were derived using the cross-correlation method， in which the accurate line by line radiative transfer model simulation spectra under clear conditions were used as reference， and the spectral performance and frequency accuracy of HIRAS in-orbit data after launch were comprehensively evaluated and verified. The results show that the HIRAS spectral calibration accuracy is greater than 3×10-6 in long wave， middle wave1 and middle wave2 bands and the spectral bias standards of long wave (LW) and middle wave 1 (MW1) bands are higher than 2×10-6， which are better than the requirements. The spectral accuracy of HIRAS in the past six months was stable for LW and MW1 bands and the spectral frequency variations were in range of 5×10-6. For LW band， a negative bias trend was observed that reaches approximately 7×10-6， this would require consistent monitoring in the future. The results of this study indicate that the HIRAS data on-orbit spectral accuracy can satisfy the demands of back-end retrieval and assimilation users.
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