本文關(guān)鍵詞：南黃海光學(xué)特性研究　出處：《廈門(mén)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 固有光學(xué)特性 表觀光學(xué)特性 南黃海 算法 環(huán)境意義

【摘要】：光學(xué)技術(shù)在海洋科學(xué)應(yīng)用中不斷發(fā)展,中國(guó)海典型Ⅱ類水體由于其水體渾濁與成分復(fù)雜性,成為海洋光學(xué)研究中的前沿和難點(diǎn)。論文以2013年夏季在南黃海現(xiàn)場(chǎng)測(cè)量的光學(xué)數(shù)據(jù)為基礎(chǔ),研究其固有及表觀光學(xué)特性,探討生物光學(xué)算法在南黃海對(duì)葉綠素a、POC濃度反演的可行性與適用性,以及南黃海光學(xué)特性的區(qū)域化環(huán)境意義。 首先,根據(jù)儀器特性和最新研究成果對(duì)航次采集的海洋固有及表觀光學(xué)數(shù)據(jù)進(jìn)行處理,包括：吸收系數(shù)(a-Sphere儀器測(cè)量數(shù)據(jù)及樣品定量濾膜技術(shù)QFT)；后向散射系數(shù)(HS-6儀器測(cè)量數(shù)據(jù)的Sigma校正及海水散射溫鹽校正)；離水輻亮度(C-OPS儀器測(cè)量數(shù)據(jù)計(jì)算)；遙感反射比(C-OPS儀器測(cè)量數(shù)據(jù)計(jì)算)；漫衰減系數(shù)(C-OPS儀器測(cè)量數(shù)據(jù)計(jì)算推導(dǎo))。以及海水生物化學(xué)數(shù)據(jù)處理,如葉綠素a濃度(熒光光度法)、POC濃度(元素分析法)等。 在數(shù)據(jù)處理的基礎(chǔ)上,找出南黃海海底再懸浮特征區(qū)域(123-125°E,32-34°N),分析南黃海表層水清濁過(guò)渡情況(近岸到遠(yuǎn)岸),并推測(cè)長(zhǎng)江口東海特征水團(tuán)的入侵。對(duì)各光學(xué)量進(jìn)行關(guān)系研究,發(fā)現(xiàn)遙感反射比Rrs(A)與吸收系數(shù)a、后向散射系數(shù)bb分波段擬合效果較好,且綠光波段擬合相關(guān)系數(shù)最高。在漫衰減系數(shù)Kd490的算法上進(jìn)行經(jīng)驗(yàn)統(tǒng)計(jì)算法和半分析算法的分析對(duì)比,結(jié)果表明對(duì)于較清潔水體,經(jīng)驗(yàn)統(tǒng)計(jì)算法反演性能較好,對(duì)于Kd490全范圍,QAA算法較為精準(zhǔn)。 接著,在反演葉綠素a濃度的浮游植物吸收光譜生物光學(xué)模型中,發(fā)現(xiàn)Bricaud的440nm波段和Carder的675nm波段的算法高估了葉綠素a的濃度；經(jīng)驗(yàn)統(tǒng)計(jì)算法方面,數(shù)據(jù)結(jié)果表明OC4算法不適用于南黃海水域,建立基于Clark模型的南黃海葉綠素a濃度與MBR的反演算法�；谶b感反射比藍(lán)綠波段比值的POC反演,在南黃海Ⅱ類水體依然有較高的適用率,但單波長(zhǎng)兩步經(jīng)驗(yàn)算法并不適用。研究后向散射系數(shù)與水文條件的關(guān)系,發(fā)現(xiàn)bb的變化與溫鹽躍層存在良好關(guān)系。 最后,根據(jù)南黃海水文、水團(tuán)、海流、陸源、海底沉積等因素,在空間分布上將南黃海分為五個(gè)區(qū)域：長(zhǎng)江口沖淡水區(qū)、黃海暖流區(qū)、南黃海冷水團(tuán)區(qū)、青島冷水團(tuán)區(qū)以及蘇北淺灘區(qū)。并對(duì)各個(gè)區(qū)域的光學(xué)特性進(jìn)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.

【學(xué)位授予單位】：廈門(mén)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：P733.31

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