發(fā)布時間：2018-03-28 15:52

  本文選題：中國近海　切入點：葉綠素　出處：《國家海洋局第三海洋研究所》2016年碩士論文

【摘要】：海洋葉綠素濃度可作為衡量海洋浮游植物生物量和初級生產(chǎn)力的重要指示因子,因而經(jīng)常用于海洋生態(tài)特征的分析和海洋資源環(huán)境的評估工作中。近年來,隨著海洋衛(wèi)星遙感技術(shù)的快速發(fā)展,衛(wèi)星遙感資料憑借其大范圍、長時間、高頻率和成本低等優(yōu)點,從而在海洋生態(tài)研究和動態(tài)監(jiān)測應(yīng)用中占據(jù)了重要地位。然而,由于天氣、氣候等各種因素的影響,衛(wèi)星遙感數(shù)據(jù)存在有觀測數(shù)據(jù)缺失等問題,在一定程度上阻礙了其應(yīng)用。因此,采用科學(xué)合理的方法重構(gòu)葉綠素衛(wèi)星遙感數(shù)據(jù)成為當前應(yīng)用研究的迫切需要。為此,本論文進一步發(fā)展了可應(yīng)用于葉綠素衛(wèi)星遙感數(shù)據(jù)重構(gòu)的方法,完成了1998-2014年期間中國近海(東中國海和南中國海)葉綠素衛(wèi)星遙感數(shù)據(jù)的重構(gòu)工作,并據(jù)此分析了東中國海和南中國海葉綠素的時空變化特征及其與主要環(huán)境因子的關(guān)系,得到以下主要結(jié)果:(1)本文根據(jù)經(jīng)典Data Interpolating Empirical Orthogonal Function(DINEOF)的重構(gòu)方法,利用Empirical Mode Decomposition(EMD)技術(shù)可檢測異常值(噪聲)的特點,采用其可剔除原始數(shù)據(jù)中噪聲的有效方法,并引入了基于數(shù)據(jù)同化思想的二次訂正過程,形成的DINEOF-EMD的方法可對衛(wèi)星遙感數(shù)據(jù)重構(gòu)結(jié)果進一步優(yōu)化。試驗結(jié)果表明,本文發(fā)展的DINEOF-EMD方法能夠較為成功地刻畫中國近海海表葉綠素的時空變化特征,具有無需先驗參數(shù)和運算速度快等優(yōu)點,并且,重構(gòu)精度比經(jīng)典DINEOF方法提高了5%~10%等特點。(2)東中國海葉綠素的時空變化特征及其與環(huán)境因子的關(guān)系(1)葉綠素濃度的平均氣候態(tài):具有從近岸向遠海呈帶狀分布以及從近岸向遠海逐漸降低的特點。其中,長江口附近海域及渤海的葉綠素濃度較高,最高超過5.0mg/m3。(2)線性擬合結(jié)果表明,1998-2014年期間,葉綠素濃度上升了約0.136mg/m3,增加速率約為0.009mg/m3?a-1;其中,連云港沿岸、萊州灣、渤海灣北部以及黃海北部沿岸海域有增量大于2.0mg/m3的,而長江口附近海域則有明顯相反的減少趨勢。(3)葉綠素濃度在春季4月份達到2.974mg/m3的全年最高值,而在夏季7月份則達到2.560mg/m3的全年最低值。(4)葉綠素與主要海洋環(huán)境因子,如海表溫度(SST)和海表鹽度(SSS),未有簡單一致的關(guān)系;并且,兩者之間的關(guān)系隨不同季節(jié)和海域有較大的變化。其中,葉綠素與SST呈現(xiàn)正相關(guān)的海域主要為春、秋季長江口附近海域以及夏、秋季濟州島附近海域,其他海域主要為負相關(guān)關(guān)系;葉綠素與SSS呈正相關(guān)的海域主要為夏、秋季的黃海中部及東北海域,其他海域為負相關(guān)。另外,冬季,葉綠素與SST和SSS的關(guān)系在不同海域則較為凌亂。(3)南中國海葉綠素的時空變化特征及其與環(huán)境因子的關(guān)系(1)葉綠素濃度的平均氣候態(tài)特點:近岸海域高,離岸海域低,以及海盆中部島礁周圍海域相對較高的特點。(2)1998年-2014年,全海域平均葉綠素濃度總體呈略有減少的態(tài)勢,下降了約0.006mg/m3,減少速率約為0.001mg/m3?a-1;其中,瓊州海峽東側(cè)相鄰海域明顯減少,大部分海域略有降低,而北部沿岸海域則呈相反的增加。(3)全年變化的最大值出現(xiàn)在冬季1月份,約為0.647mg/m3,而最低值約為0.461mg/m3,出現(xiàn)在春季4月份;此外,夏季7、8月份出現(xiàn)全年的第二個峰值,約為0.540mg/m3。(4)與東中國海的情況略有不同,葉綠素與海表溫度(SST)主要呈現(xiàn)負相關(guān)關(guān)系,而與海表鹽度(SSS)的關(guān)系則隨著不同季節(jié)和海域有較大的變化。其中,夏季,大部分海域的葉綠素與SSS主要為負相關(guān)關(guān)系,其他季節(jié)則沒有較為明顯的一致關(guān)系。
[Abstract]:The chlorophyll concentration can be used as a factor measure marine phytoplankton biomass and an important indicator of primary productivity, which is often used in marine ecological characteristics of marine resources and environmental assessment work. In recent years, with the rapid development of marine satellite remote sensing technology, satellite remote sensing data with its large scale, long time, has the advantages of high frequency and cost so, in order to occupy an important position in the marine ecological research and dynamic monitoring applications. However, due to the weather, climate and other factors, satellite remote sensing data there are problems such as lack of data loss, hinders its application in a certain extent. Therefore, using scientific and reasonable method of satellite remote sensing data has become an urgent reconstruction of chlorophyll the current application research. Therefore, the further development of the method can be applied to satellite remote sensing chlorophyll data reconstruction, completed 1998-2 During the 014 years Chinese offshore (East Sea and South Sea China China) reconstruction of chlorophyll of satellite remote sensing data, and analyzes the temporal and spatial variations of the East Sea and South Sea China Chinese chlorophyll and its relationship with environmental factors, the main results are as follows: (1) the Data Interpolating Empirical Orthogonal Function according to the classic (DINEOF) reconstruction method, using Empirical Mode Decomposition (EMD) technique can detect outliers (noise) characteristics, using the noise elimination of the original data in the effective method, and the introduction of the two revision of the data assimilation method based on the idea of the formation of DINEOF-EMD can be further optimized for satellite remote sensing data reconstruction results. The test results show that the DINEOF-EMD method developed in this paper can successfully describe the temporal and spatial variations of sea surface chlorophyll China offshore, with no prior. The number of advantages, and fast operation and reconstruction, to improve the accuracy of 5%~10% features than the classical DINEOF method. (2) the temporal and spatial variation characteristics of chlorophyll China East Sea and its relationship with environmental factors (1) the average climatological chlorophyll concentration with zonal distribution and the characteristics of gradually decreasing from inshore to offshore from the shore to the open sea. The high chlorophyll concentration near the waters of the Yangtze River Estuary and Bohai, the highest of more than 5.0mg/m3. (2) linear regression results show that, during the 1998-2014 years, the chlorophyll concentration increased by about 0.136mg/m3, the increase rate is about 0.009mg/m3? A-1; the Lianyungang coast, the Gulf of Laizhou, the northern part of Bohai Bay and Northern the Yellow Sea coastal waters are incremental more than 2.0mg/m3, and the waters near the Yangtze River estuary is obviously opposite decreasing trend. (3) the chlorophyll concentration reached 2.974mg/m3 peak for the year in the spring of April, and in the summer of July The lowest annual 2.560mg/m3. (4) the chlorophyll and marine environmental factors such as sea surface temperature (SST) and sea surface salinity (SSS), no consistent relationship is simple; and the relationship between the two with the different seasons and sea change greatly. Among them, chlorophyll and SST are positively related to the main sea for spring, summer and autumn waters near the mouth of the Yangtze River, the waters near Jeju Island in autumn, other waters are negative correlation; chlorophyll SSS was positively correlated with the area mainly for the summer and fall in the the Yellow Sea central and northeast area, other areas are negatively correlated. In addition, in winter, the relationship between chlorophyll and SST and SSS in different area more messy. (3) the temporal and spatial variation characteristics of South Sea China chlorophyll and its relationship with environmental factors (1) characteristics of the Climatological Mean chlorophyll concentrations in coastal waters: high, low and middle basin offshore waters, the waters around the island The characteristics of relatively high. (2) 1998 -2014, the whole area average chlorophyll concentration showed a slight decrease trend, fell by about 0.006mg/m3, reduce the rate of about 0.001mg/m3? A-1; among them, the Qiongzhou Strait on the eastern side of the adjacent sea area was significantly reduced, most of the waters decreased slightly, while the northern coastal waters showed contrary (increase. 3) the maximum annual change in winter January, about 0.647mg/m3, while the minimum value is about 0.461mg/m3, in the spring of April; in addition, the summer 7,8 month throughout the year second peak, about 0.540mg/m3. (4) and the East Chinese sea is slightly different, chlorophyll and sea surface temperature (SST) mainly there is negative correlation between the sea surface salinity (SSS) and the relationship with the different seasons and sea change greatly. Among them, the summer, chlorophyll and SSS in most parts of the sea is the main negative correlation, the other seasons are not very bright A congruent relationship.

【學(xué)位授予單位】：國家海洋局第三海洋研究所
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：P714.5;P715.7

【相似文獻】

相關(guān)期刊論文 前10條

1 陳楚群,施平,毛慶文;南海海域葉綠素濃度分布特征的衛(wèi)星遙感分析[J];熱帶海洋學(xué)報;2001年02期

2 鄒亞榮;渤海葉綠素a時空分布特征分析[J];遙感信息;2004年03期

3 趙輝,齊義泉,王東曉,王文質(zhì);南海葉綠素濃度季節(jié)變化及空間分布特征研究[J];海洋學(xué)報(中文版);2005年04期

4 于X;陸殿梅;熊黑鋼;;近7年來渤海海區(qū)冬季表層海水葉綠素濃度的遙感反演及其變化分析[J];遙感信息;2009年06期

5 馬萬棟;邢前國;張淵智;施平;劉亞龍;;水體紅波段反射光譜對葉綠素濃度變化的響應(yīng)[J];光譜學(xué)與光譜分析;2010年02期

6 田國良,倪曉東,宋福,趙蔚苓;用光譜數(shù)據(jù)估算水體葉綠素濃度[J];環(huán)境遙感;1988年01期

7 鄭小慎;李桂菊;;渤海灣春季葉綠素濃度分布及環(huán)境要素的影響[J];海洋技術(shù)學(xué)報;2014年02期

8 杜聰;王世新;周藝;閻福禮;;運用分段法反演太湖水體的葉綠素a濃度[J];遙感信息;2009年01期

9 朱乾坤,馮旗,尹中林,鄭親波,潘德爐;利用海洋多波段掃描儀航空遙感海面葉綠素濃度的研究[J];臺灣海峽;2001年04期

10 蔣剛;肖建;鄭永康;宋昌林;;基于統(tǒng)計學(xué)習(xí)理論的海色遙感葉綠素濃度反演方法[J];中國海洋大學(xué)學(xué)報(自然科學(xué)版);2006年04期

相關(guān)會議論文 前7條

1 趙輝;唐丹玲;王素芬;;南海西北部夏季葉綠素濃度的分布特征及其對海洋環(huán)境的響應(yīng)[A];中國海洋學(xué)會2005年學(xué)術(shù)年會論文匯編[C];2005年

2 焦全軍;張霞;衛(wèi)征;陳良富;張兵;;基于葉片光譜的森林葉綠素濃度反演研究[A];第十五屆全國遙感技術(shù)學(xué)術(shù)交流會論文摘要集[C];2005年

3 包穎;田慶久;;太湖葉綠素a濃度遙感空間尺度關(guān)系研究[A];第十七屆中國遙感大會摘要集[C];2010年

4 譚俊磊;馬明國;宋怡;黃廣輝;;基于SLC模型和CHRIS數(shù)據(jù)的LAI、Cab和fCover反演[A];遙感定量反演算法研討會摘要集[C];2010年

5 毛志華;黃海清;;CMODIS資料提取葉綠素a濃度的方法研究[A];第六屆成像光譜技術(shù)與應(yīng)用研討會文集[C];2006年

6 魯韋坤;謝國清;;MODIS監(jiān)測滇池葉綠素a分布的遙感影像融合研究[A];中國氣象學(xué)會2008年年會衛(wèi)星遙感應(yīng)用技術(shù)與處理方法分會場論文集[C];2008年

7 荀尚培;詹萬志;范偉;;MODIS巢湖水體葉綠素a濃度監(jiān)測研究[A];中國氣象學(xué)會2006年年會“衛(wèi)星遙感技術(shù)進展及應(yīng)用”分會場論文集[C];2006年

相關(guān)博士學(xué)位論文 前2條

1 鄭龍江;光纖式海藻葉綠素a濃度的熒光測量理論與實驗研究[D];燕山大學(xué);2002年

2 李淵;基于數(shù)據(jù)同化的太湖葉綠素濃度遙感估算[D];南京師范大學(xué);2014年

相關(guān)碩士學(xué)位論文 前10條

1 馬驊;高濁度長江河口水色三要素的光學(xué)特征及其對TSM反演的影響[D];華東師范大學(xué);2015年

2 張海東;基于MERIS數(shù)據(jù)的內(nèi)陸湖泊葉綠素a濃度反演研究[D];華中師范大學(xué);2016年

3 郭海峽;中國近海葉綠素衛(wèi)星遙感數(shù)據(jù)重構(gòu)及其時空變化特征研究[D];國家海洋局第三海洋研究所;2016年

4 劉斌;一類水域中從海面反射比反演葉綠素濃度垂直分布初探[D];中國海洋大學(xué);2009年

5 劉廣鵬;長江口及鄰近海域葉綠素時空變化及影響機制[D];華東師范大學(xué);2014年

6 呂云峰;水中葉綠素二向性與偏振反射光譜特性的對比研究[D];東北師范大學(xué);2007年

7 張彥U，

本文編號：1676991