Field Experiments For Measuring Chlorophyll-a Concentration In The Sea Surface Layer And Research For Detecting Oil Spills On The Sea By Using An Airborne Oceanographic Fluorescence Lidar

This essay is mainly consisted of five parts: The first part is introduction which narrates the applications of airborne oceanographic fluorescence lidar, the actualities at home and abroad, and the development in the future.The second part is the research for field detection of chlorophyll-a concentration in the sea surface layer which succeeds the item"Integrated Airborne Multi-sensor System for Marine Applications", which belongs to the tenth five-year plan in National 863 Resource and Environment technique field. In this part, first, the theory for chlorophyll-a concentration retrieval is disserted. The precision of the theory is improved by calculating the seawater attenuation coefficients of chlorophyll-a fluorescence and Raman scattering using the lidar signal profiles; second, the ocean states for two field experiments are expressed, and the distribution of chlorophyll-a in those sea fields are retrieved and analyzed; third, the chlorophyll-a concentration of the second field experiment is compared and validated with the same products simultaneously measured by MODIS, which shows a good consistency.The latter three parts are contents of the item"Monitoring oil pollutants on the sea surface by an airborne multi-channel oceanographic fluorescence lidar"which belongs to the eleventh five-year plan. The third part introduces the principles of fluorescence, and the designs of the hardware and software lidar system. The hardware system includes the laser emitter, the optical receiver, the spectrometer, the photo-electric converter, the ADC, and the power supply. The software includes the algorithm patterns for data collection, process and display.The fourth part mainly specifies the algorithms for oil thickness retrieval and oil identification. Using the MATLAB codes, we process and analyze the lidar signals from foreign lidar system. Kinds of algorithms are discussed, and some conclusions are given.The fifth part introduces the system for oil fluorescence spectra detection in the laboratory. Some kinds of oil spectra on the market are given. The PCA and SM (Spectral Matching) algorithms in the fourth part are tested, which paves the way for the design of airborne system.The last part of this essay gives a brief summary of its work, and puts forward the improvements needed in the future.