No abstract

In the remote sensing detection of the ocean color factors near seacoast, the spectral signal of water includes other spectral information, such as suspended matter, colored dissolved organic matter (CDOM), chlorophyll and so on. Each component has its specific spectrogram, and they are overlapped and hard to separate, which affect the precision of remote sensing retrieval model obviously. Considering the high correlation between chlorophyll and suspended matter, we proposed a new method based on the interactive iteration to estimate concentration of chlorophyll and suspended matter. Compared with single-factor-retrieval models, the precision of chlorophyll-iterative model increases from 68.312% to 77.47%, the precision of suspended matter-iterative model increases from 86.60% to 92.04%. Finally, the proposed method is applied to the SeaWiFS images for obtaining the chlorophyll and suspended matter distribution map of Pearl River. Compared with the investigation and study of other scholars, they have the same trend of distribution. All of results showed that this iterative model could be used to estimate the concentration of chlorophyll and suspended matter in the Pearl River effectively.

We present an environment-friendly and highly efficient method for the oxidation of aromatic alcohols to carboxylic acids or ketones in air via light irradiation under external catalyst-, additive-, and base-free conditions. The photoreaction system exhibits a wide substrate scope and the potential for large-scale applications. Most of the desired products are easily obtained via recrystallization and separation from low-boiling reaction medium acetone in good yields, and the products can be subsequent directly transformed without further purification.