南黄海光学特性研究

发布时间：2018-01-04 09:27

本文关键词：南黄海光学特性研究　出处：《厦门大学》2014年硕士论文　论文类型：学位论文

【摘要】：光学技术在海洋科学应用中不断发展,中国海典型Ⅱ类水体由于其水体浑浊与成分复杂性,成为海洋光学研究中的前沿和难点。论文以2013年夏季在南黄海现场测量的光学数据为基础,研究其固有及表观光学特性,探讨生物光学算法在南黄海对叶绿素a、POC浓度反演的可行性与适用性,以及南黄海光学特性的区域化环境意义。首先,根据仪器特性和最新研究成果对航次采集的海洋固有及表观光学数据进行处理,包括：吸收系数(a-Sphere仪器测量数据及样品定量滤膜技术QFT)；后向散射系数(HS-6仪器测量数据的Sigma校正及海水散射温盐校正)；离水辐亮度(C-OPS仪器测量数据计算)；遥感反射比(C-OPS仪器测量数据计算)；漫衰减系数(C-OPS仪器测量数据计算推导)。以及海水生物化学数据处理,如叶绿素a浓度(荧光光度法)、POC浓度(元素分析法)等。在数据处理的基础上,找出南黄海海底再悬浮特征区域(123-125°E,32-34°N),分析南黄海表层水清浊过渡情况(近岸到远岸),并推测长江口东海特征水团的入侵。对各光学量进行关系研究,发现遥感反射比Rrs(A)与吸收系数a、后向散射系数bb分波段拟合效果较好,且绿光波段拟合相关系数最高。在漫衰减系数Kd490的算法上进行经验统计算法和半分析算法的分析对比,结果表明对于较清洁水体,经验统计算法反演性能较好,对于Kd490全范围,QAA算法较为精准。接着,在反演叶绿素a浓度的浮游植物吸收光谱生物光学模型中,发现Bricaud的440nm波段和Carder的675nm波段的算法高估了叶绿素a的浓度；经验统计算法方面,数据结果表明OC4算法不适用于南黄海水域,建立基于Clark模型的南黄海叶绿素a浓度与MBR的反演算法。基于遥感反射比蓝绿波段比值的POC反演,在南黄海Ⅱ类水体依然有较高的适用率,但单波长两步经验算法并不适用。研究后向散射系数与水文条件的关系,发现bb的变化与温盐跃层存在良好关系。最后,根据南黄海水文、水团、海流、陆源、海底沉积等因素,在空间分布上将南黄海分为五个区域：长江口冲淡水区、黄海暖流区、南黄海冷水团区、青岛冷水团区以及苏北浅滩区。并对各个区域的光学特性进行定性定量分析。
[Abstract]:The development of optical technology in the application of marine science, Chinese sea typical case II waters because of its water turbidity and composition complexity and difficulty has become the forefront of ocean optics research. The optical data in 2013 in the Southern Yellow Sea in summer field measurement based on the inherent and apparent optical properties, investigate the bio optical algorithm in the Southern Yellow Sea the chlorophyll a concentration of POC, the feasibility and applicability of the inversion, the regional environmental significance as well as the optical properties of the South Yellow Sea.
First of all, according to the features and the latest research results of the voyage collected in the ocean and inherent table processing, optical data: absorption coefficient (a-Sphere measurement data and sample quantitative membrane technology QFT); backscattering coefficient (HS-6 measurement data Sigma correction and temperature correction seawaterdispersion salt from water); radiance (C-OPS instrument measurement); remote sensing reflectance (C-OPS instrument measurement); diffuse attenuation coefficient (C-OPS measurement data calculation and processing). Seawater chemical and biological data, such as chlorophyll a concentration (fluorescence spectroscopy), POC concentration (elemental analysis).
On the basis of data analysis, find out the South Yellow Sea Bottom resuspension regions (123-125 ~ E, 32-34 ~ N), the analysis of surface water transition (voicing inshore to the far shore), and speculated that the Yangtze River Estuary sea intrusion characteristics of water masses. The research on the relationship of the optical volume, the remote sensing reflectance Rrs (A) and a absorption coefficient, backscattering coefficient BB band fitting effect is better, and the green band fitting correlation coefficient was the highest. The comparative analysis of empirical statistical algorithm and semi analytical algorithm in the diffuse attenuation coefficient Kd490 algorithm, the results show that for relatively clean water, empirical statistical inversion algorithm performance is better, for the full range of Kd490. The QAA algorithm is more accurate.
Then, in the inversion of chlorophyll a concentration of phytoplankton absorption spectra of bio optical model, found that the 675nm Bricaud band 440nm band and Carder algorithm overestimated chlorophyll a concentration; empirical statistical data algorithm, the results show that OC4 algorithm is not suitable for the South Yellow Sea region, to establish the inversion algorithm of Clark model of chlorophyll a concentration and the South Yellow Sea MBR based on remote sensing reflectance inversion of POC blue and green band ratio based on the applicable rate in the Southern Yellow Sea II waters remain high, but the single wavelength two step algorithm is not applicable. The relationship between experience scattering coefficient and hydrological conditions of research, found a good correlation between BB and thermocline and halocline.
Finally, according to the hydrology, water, ocean, terrestrial, marine sediment and other factors, the spatial distribution of the South Yellow Sea is divided into five areas: the mouth of the Yangtze River diluted water, the Yellow Sea warm zone, South Yellow Sea cold water mass area, Qingdao cold water mass area and Subei shoal area. And the optical properties of the various regions of the qualitative and quantitative analysis.

【学位授予单位】：厦门大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P733.31

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