本文選題：二類水體　切入點：吸收系數(shù)　出處：《中國科學院大學(中國科學院遙感與數(shù)字地球研究所)》2017年博士論文

【摘要】：水體對光的吸收在水體光衰減、混合層加熱、初級生產(chǎn)力、浮游植物生物量等的時空分布變化中扮演重要角色。定量獲取水體吸收系數(shù)主要有三種方法:現(xiàn)場原位儀器測量、實驗室過濾水樣分析和反射率遙感反演。由于我國近海二類水體光學特性復雜且時空分布變化大,水中物質(zhì)在近紅外波段存在顯著吸收,主要成分浮游植物的吸收光譜受包囊效應和色素組成等因素影響,降低了獲取吸收系數(shù)的精度,研究這些問題對提高水色吸收系數(shù)精度和水色遙感具有現(xiàn)實意義。1)近海水體光學特性時空分布方面,通過對黃海不同季節(jié)六個航次的現(xiàn)場數(shù)據(jù)進行水體分類研究,分析了遙感反射率光譜的分類特征,獲取了黃海水體光學特性和時空分布特征。黃海水體光譜分類算法應到MERIS業(yè)務衛(wèi)星,獲得長時間序列不同時空下黃海水體光學分布特征及變化規(guī)律。2)野外原位測量吸收系數(shù)方面,改進一種基于E指數(shù)擬合獲得散射項系數(shù)的散射校正方法,對九波段吸收衰減儀器(AC9)各吸收波段進行散射校正,滿足在近海和內(nèi)陸典型水體應用。結(jié)果與其他常用的校正方法比較,在紅光和近紅外波段有較明顯抬升。結(jié)果與實驗室測量的吸收系數(shù)具有可比性,可用于閉合檢驗。3)實驗室測量的浮游植物吸收系數(shù)方面。本文利用黃東海2003年春季和秋季航次測量的色素濃度和浮游植物吸收光譜數(shù)據(jù),通過去包囊效應,對吸收光譜數(shù)據(jù)進行特征波段高斯分解和色素成分分解和重構(gòu)模擬研究,高斯分解的殘差值多小于0.001 m-1,成分分解值與實測色素濃度接近,但存在明顯季節(jié)性偏差。4)在遙感反演獲得吸收系數(shù)方面,半分析算法能一定程度反演黃渤海水體的總吸收系數(shù)與后向散射系數(shù),但浮游植物主導和近岸高渾濁水體反演結(jié)果相對偏差較大。用實驗室測量吸收對算法進行改進,使得黃渤海各波段吸收系數(shù)反演精度顯著提高,使用現(xiàn)場原位測量的吸收系數(shù)對改進算法檢驗,結(jié)果較好。本文的研究成果可以廣泛應用于近海水體吸收特性研究,還可用于全球陸架海區(qū)上層海洋的生態(tài)和生物地球化學重要特性研究。
[Abstract]:The absorption of water light plays an important role in the temporal and spatial distribution of water light attenuation, mixed layer heating, primary productivity and phytoplankton biomass. Laboratory filtered water sample analysis and reflectivity inversion. Due to the complexity of optical properties and the large changes in spatial and temporal distribution of the second class of offshore water bodies in China, there is a significant absorption of substances in water in the near infrared band. The absorption spectra of phytoplankton are affected by the cyst effect and pigment composition, which reduce the precision of obtaining absorption coefficient. The study of these problems is of practical significance for improving the accuracy of water color absorption coefficient and water color remote sensing. 1) the temporal and spatial distribution of optical properties of offshore waters is studied. The classification of water bodies is carried out on the basis of the field data of six voyages of Huang Hai in different seasons. The classification characteristics of remote sensing reflectance spectrum are analyzed, and the optical characteristics and spatio-temporal distribution of Huang Hai water body are obtained. Huang Hai water body spectral classification algorithm should be applied to MERIS service satellite. In order to obtain the optical distribution characteristics and variation law of Huang Hai water body in different time series in long time series. 2) in the field measurement of absorption coefficient, an improved scattering correction method based on E exponent fitting to obtain scattering term coefficient is improved. The absorption attenuation instrument AC9) has been corrected by scattering in each absorption band to satisfy its application in typical offshore and inland water bodies. The results are compared with other commonly used correction methods. There is a significant uplift in the red and near infrared bands. The results are comparable to the absorption coefficients measured in the laboratory. In this paper, the pigment concentration and phytoplankton absorption spectra measured in spring and autumn of 2003 in the Yellow Sea and East China Sea are used to measure the absorption coefficient of phytoplankton in laboratory. The characteristic band Gao Si decomposition and pigment component decomposition and reconstruction simulation of absorption spectrum data were carried out. The residual value of Gao Si decomposition was less than 0.001 m ~ (-1), and the component decomposition value was close to the measured pigment concentration. But there is obvious seasonal deviation. 4) in the aspect of remote sensing inversion to obtain absorption coefficient, the semi-analytical algorithm can retrieve the total absorption coefficient and backscattering coefficient of the Yellow Sea and Bohai Sea to some extent. But the relative deviation between phytoplankton dominant and near-shore high turbidity water inversion results is large. The algorithm is improved by laboratory measurement and absorption, which makes the retrieval accuracy of absorption coefficients in each band of the Yellow Sea and Bohai Sea significantly improved. The results of this paper can be widely used in the study of the absorption characteristics of offshore water bodies, and the results obtained in this paper can be widely used in the study of the absorption characteristics of offshore water bodies. It can also be used to study the ecological and biogeochemical characteristics of the upper ocean in the global shelf area.
【學位授予單位】：中國科學院大學(中國科學院遙感與數(shù)字地球研究所)
【學位級別】：博士
【學位授予年份】：2017
【分類號】：P733

【相似文獻】

相關(guān)期刊論文 前10條

1 詹海剛,施平,陳楚群;基于遺傳算法的二類水體水色遙感反演[J];遙感學報;2004年01期

2 董強;洪華生;商少凌;;二類水體顆粒吸收光譜兩種測量方法的差異分析[J];廈門大學學報(自然科學版);2009年02期

3 仲京臣;汪小勇;陳清蓮;;基于神經(jīng)網(wǎng)絡的黃東海春季二類水體三要素濃度反演方法[J];海洋技術(shù);2005年04期

4 楊錦坤;陳楚群;;珠江口二類水體水色三要素的優(yōu)化反演(英文)[J];Marine Science Bulletin;2009年01期

5 鞏彩蘭,樊偉;海洋水色衛(wèi)星遙感二類水體反演算法的國際研究進展[J];海洋通報;2002年02期

6 楊燕明,劉貞文,陳本清,唐軍武;用偏最小二乘法反演二類水體的水色要素[J];遙感學報;2005年02期

7 王曉梅,唐軍武,丁靜,馬超飛,李銅基,汪小勇,畢大勇;黃海、東海二類水體漫衰減系數(shù)與透明度反演模式研究[J];海洋學報(中文版);2005年05期

8 楊錦坤;陳楚群;;珠江口二類水體水色三要素的優(yōu)化反演[J];熱帶海洋學報;2007年05期

9 劉顯傅,李銅基,陳清蓮;水體主要成分對表觀光學量的影響[J];海洋技術(shù);2004年01期

10 樊輝;黃海軍;;黃、東海二類水體春季表觀光譜特性與表層懸浮體濃度反演模式[J];海洋與湖沼;2010年02期

相關(guān)會議論文 前8條

1 唐軍武;王曉梅;宋慶君;李銅基;黃海軍;任敬萍;簡偉軍;;黃東海二類水體水色要素統(tǒng)計反演模式[A];第十四屆全國遙感技術(shù)學術(shù)交流會論文摘要集[C];2003年

2 王曉梅;唐軍武;馬超飛;丁靜;李銅基;汪小勇;畢大勇;;黃東海二類水體漫衰減系數(shù)與透明度反演模式研究[A];第十五屆全國遙感技術(shù)學術(shù)交流會論文摘要集[C];2005年

3 禹定峰;邢前國;施平;;內(nèi)陸及近岸二類水體透明度的遙感研究進展[A];中國海洋湖沼學會第十次全國會員代表大會暨學術(shù)研討會論文集[C];2012年

4 唐軍武;王曉梅;宋慶君;李銅基;黃海軍;任敬萍;簡偉軍;;黃、東海二類水體水色要素的統(tǒng)計反演模式[A];第十四屆全國遙感技術(shù)學術(shù)交流會論文選集[C];2003年

5 楊燕明;劉貞文;陳本清;唐軍武;;用偏最小二乘法反演二類水體的水色要素[A];第十四屆全國遙感技術(shù)學術(shù)交流會論文摘要集[C];2003年

6 孫凌;張杰;;應用遺傳算法評估HY1 CCD二類水體組分反演的能力[A];第十四屆全國遙感技術(shù)學術(shù)交流會論文摘要集[C];2003年

7 孫凌;張杰;;應用遺傳算法評估HY-1A CCD反演二類水體組分的能力[A];第十四屆全國遙感技術(shù)學術(shù)交流會論文選集[C];2003年

8 黃家潔;;基于MODIS數(shù)據(jù)的二類水體葉綠素反演算法理論及其實現(xiàn)[A];第十五屆全國遙感技術(shù)學術(shù)交流會論文摘要集[C];2005年

相關(guān)博士學位論文 前3條

1 葉虎平;二類水體吸收系數(shù)精確校正及其遙感反演研究[D];中國科學院大學(中國科學院遙感與數(shù)字地球研究所);2017年

2 丁靜;基于神經(jīng)網(wǎng)絡的二類水體大氣修正與水色要素反演[D];中國海洋大學;2004年

3 孫凌;針對HY-1A CCD的大氣修正與水體組分反演[D];中國科學院研究生院（海洋研究所）;2005年

相關(guān)碩士學位論文 前1條

1 潘洪洲;內(nèi)陸渾濁水體固有光學量（IOPs）反演算法[D];南京師范大學;2015年

，

本文編號：1678254