海洋藻類災害遙感探測及海洋初級生產(chǎn)力反演
發(fā)布時間：2018-07-13 17:43
【摘要】：綠潮、赤潮災害不僅有自然災害屬性,又具有顯著的人類活動影響特征,作為海洋生態(tài)環(huán)境的指示器,它們影響水產(chǎn)養(yǎng)殖業(yè)和濱海旅游業(yè),直接危害人類的健康。赤潮、綠潮是危機海洋經(jīng)濟環(huán)境生態(tài)安全的最大不確定因素,也是我國海洋生態(tài)文明建設(shè)的最大障礙。綠潮作為一種較大的海洋環(huán)境災害,其種類呈現(xiàn)出多樣化,2013年6月南黃海海域發(fā)現(xiàn)大面積棕褐色馬尾藻與滸苔共生,此外綠潮、赤潮災害在同一時間段暴發(fā)的現(xiàn)象也時有發(fā)生。本文針對以上科學問題,基于MODIS遙感影像,開展了區(qū)分綠潮和赤潮、區(qū)分綠潮中滸苔與馬尾藻藻種的識別方法,同時為了客觀評價藻類災害的影響本文還進行了藻類災害初級生產(chǎn)力的反演,主要內(nèi)容和結(jié)論如下:1.區(qū)分滸苔和馬尾藻的研究基于實測和影像上滸苔和馬尾藻的光譜特征曲線,提出了區(qū)分滸苔和馬尾藻的指數(shù)算法(USI)及馬尾藻指數(shù)算法(SI),通過閾值設(shè)定實現(xiàn)大型藻類災害事件中滸苔和馬尾藻兩種藻類的區(qū)分。本文使用2013年6月20日MODIS 1B數(shù)據(jù),設(shè)定USI算法的閾值為[0.251734,0.353013]和SI算法的閾值0.640227,成功地實現(xiàn)了南黃海海域爆發(fā)的大型藻類災害事件中滸苔和馬尾藻兩種主要藻類的區(qū)分,所得到的馬尾藻主要集中分布在青島附近海域,總量約占藻類總量的3.7%,分類結(jié)果與實際情況比較一致。2.區(qū)分綠潮和赤潮的研究綠潮是大型漂浮藻類而赤潮是微型藻類,兩者的光譜特征曲線相差較大,根據(jù)這些明顯的特征差異提出了區(qū)分兩者的相應(yīng)算法判別綠潮和赤潮。綠潮藻體與赤潮藻體在859 nm波段遙感反射率的差異區(qū)分綠潮災害和赤潮災害,同時通過Rrs(555)/Rrs(488)判別東海原甲藻與海水,由Rrs(678)/Rrs(667)區(qū)分二類水體和東海原甲藻水體。3.綠潮、赤潮海洋初級生產(chǎn)力的估算在進行藻類海洋初級生產(chǎn)力(Ocean Primary Production,OPP)的估算時,利用VGPM模型反演綠潮暴發(fā)時海洋初級生產(chǎn)力的空間分布情況,并且著重分析了海洋初級生產(chǎn)力與海表面溫度(Sea Surface Temperature,SST)、葉綠素濃度(CHLA)之間的相關(guān)關(guān)系。在利用VGPM模型反演了2009年7月15日綠潮暴發(fā)時黃海海洋初級生產(chǎn)力得到其空間分布情況,并且著重分析了海洋初級生產(chǎn)力與海表面溫度、葉綠素濃度之間的相關(guān)關(guān)系。研究發(fā)現(xiàn)綠潮區(qū)域的海洋初級生產(chǎn)力高于非綠潮區(qū)域,其中綠潮區(qū)域的海洋初級生產(chǎn)力在2600mg C·m~(-2)·d~(-1)至3200 mgC·m~(-2)·d~(-1)之間,非綠潮的海洋初級生產(chǎn)力在1600 mgC·m~(-2)·d~(-1)至1900 mgC·m~(-2)·d~(-1)范圍內(nèi)。同時綠潮區(qū)域的葉綠素濃度明顯高于非綠潮區(qū)域的葉綠素濃度,但海表面溫度比非綠潮區(qū)域低一些。
[Abstract]:Green tide, red tide disaster not only has the nature of natural disaster, but also has the remarkable human activity influence characteristic. As an indicator of marine ecological environment, they affect aquaculture and coastal tourism, and directly endanger human health. Red tide and green tide are the biggest uncertain factors in the ecological security of marine economic environment and the biggest obstacle to the construction of marine ecological civilization in China. As a large marine environmental disaster, the species of green tide is diversified. In June 2013, a large area of brown sargassum and enteromorpha were found in the South Huang Hai sea area. In addition, the occurrence of green tide and red tide disaster also occurred in the same time period. In view of the above scientific problems, based on MODIS remote sensing images, a method of distinguishing green tide from red tide and distinguishing algae species of Enteromorpha margin and Sargassum alga in green tide has been developed in this paper. At the same time, in order to evaluate the effect of algae disaster objectively, the paper also carries out the inversion of the primary productivity of algae disaster. The main contents and conclusions are as follows: 1. The study of distinguishing Enteromorpha from Sargassum was based on the spectral characteristic curves of Enteromorpha and Sargassum. An exponential algorithm (USI) and a Sargassum index algorithm (SI) are proposed to distinguish Enteromorpha from Sargassum. In this paper, using MODIS 1B data of June 20, 2013, we set the threshold of USI algorithm to [0.251734-0.353013] and the threshold value of SI algorithm to 0.640227. we have successfully distinguished the two main algae of Enteromorpha enteromorpha and Sargassum in the outbreak of large-scale algal disaster in the South Huang Hai sea area. The sargassum is mainly distributed in the sea area near Qingdao, the total amount is about 3.7% of the total algae, and the classification result is consistent with the actual situation. Study on distinguishing green tide from red tide the green tide is a large floating algae and the red tide is a micro-algae, their spectral characteristic curves are different greatly. According to these obvious characteristic differences, a corresponding algorithm to distinguish the green tide from the red tide is put forward. The difference of remote sensing reflectance between green tide alga and red tide alga at 859 nm band distinguishes between green tide disaster and red tide disaster. At the same time, RRS (555) / Rrs (488) is used to distinguish Prorocentrum from sea water, and RRS (678) / RRS (667) is used to distinguish the second class water body from the Prorocentrum water body in the East China Sea. Estimation of marine primary productivity of green tide and red tide the spatial distribution of marine primary productivity during the outbreak of green tide was inversed by using VGPM model in the estimation of marine primary production (OPP) of algae. The relationship between marine primary productivity and sea surface temperature (SST), chlorophyll concentration (CHLA) was analyzed. The spatial distribution of Huang Hai marine primary productivity during the green tide outbreak on July 15, 2009 was inversed by using the VGPM model, and the correlation between marine primary productivity and sea surface temperature and chlorophyll concentration was analyzed. It is found that the marine primary productivity in the green tide region is higher than that in the non-green tide region. The marine primary productivity in the green tide region ranges from 2600mg cm ~ (-2) d ~ (-1) to 3200 mg C m ~ (-2) d-1, and between 1600 mg C m ~ (-2) d ~ (-1) to 1900 mg C m ~ (-2) d ~ (-1). At the same time, the chlorophyll concentration in the green tide region is obviously higher than that in the non-green tide area, but the sea surface temperature is lower than that in the non-green tide area.
【學位授予單位】：上海海洋大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：X55;X87
本文編號：2120216
[Abstract]:Green tide, red tide disaster not only has the nature of natural disaster, but also has the remarkable human activity influence characteristic. As an indicator of marine ecological environment, they affect aquaculture and coastal tourism, and directly endanger human health. Red tide and green tide are the biggest uncertain factors in the ecological security of marine economic environment and the biggest obstacle to the construction of marine ecological civilization in China. As a large marine environmental disaster, the species of green tide is diversified. In June 2013, a large area of brown sargassum and enteromorpha were found in the South Huang Hai sea area. In addition, the occurrence of green tide and red tide disaster also occurred in the same time period. In view of the above scientific problems, based on MODIS remote sensing images, a method of distinguishing green tide from red tide and distinguishing algae species of Enteromorpha margin and Sargassum alga in green tide has been developed in this paper. At the same time, in order to evaluate the effect of algae disaster objectively, the paper also carries out the inversion of the primary productivity of algae disaster. The main contents and conclusions are as follows: 1. The study of distinguishing Enteromorpha from Sargassum was based on the spectral characteristic curves of Enteromorpha and Sargassum. An exponential algorithm (USI) and a Sargassum index algorithm (SI) are proposed to distinguish Enteromorpha from Sargassum. In this paper, using MODIS 1B data of June 20, 2013, we set the threshold of USI algorithm to [0.251734-0.353013] and the threshold value of SI algorithm to 0.640227. we have successfully distinguished the two main algae of Enteromorpha enteromorpha and Sargassum in the outbreak of large-scale algal disaster in the South Huang Hai sea area. The sargassum is mainly distributed in the sea area near Qingdao, the total amount is about 3.7% of the total algae, and the classification result is consistent with the actual situation. Study on distinguishing green tide from red tide the green tide is a large floating algae and the red tide is a micro-algae, their spectral characteristic curves are different greatly. According to these obvious characteristic differences, a corresponding algorithm to distinguish the green tide from the red tide is put forward. The difference of remote sensing reflectance between green tide alga and red tide alga at 859 nm band distinguishes between green tide disaster and red tide disaster. At the same time, RRS (555) / Rrs (488) is used to distinguish Prorocentrum from sea water, and RRS (678) / RRS (667) is used to distinguish the second class water body from the Prorocentrum water body in the East China Sea. Estimation of marine primary productivity of green tide and red tide the spatial distribution of marine primary productivity during the outbreak of green tide was inversed by using VGPM model in the estimation of marine primary production (OPP) of algae. The relationship between marine primary productivity and sea surface temperature (SST), chlorophyll concentration (CHLA) was analyzed. The spatial distribution of Huang Hai marine primary productivity during the green tide outbreak on July 15, 2009 was inversed by using the VGPM model, and the correlation between marine primary productivity and sea surface temperature and chlorophyll concentration was analyzed. It is found that the marine primary productivity in the green tide region is higher than that in the non-green tide region. The marine primary productivity in the green tide region ranges from 2600mg cm ~ (-2) d ~ (-1) to 3200 mg C m ~ (-2) d-1, and between 1600 mg C m ~ (-2) d ~ (-1) to 1900 mg C m ~ (-2) d ~ (-1). At the same time, the chlorophyll concentration in the green tide region is obviously higher than that in the non-green tide area, but the sea surface temperature is lower than that in the non-green tide area.
【學位授予單位】：上海海洋大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：X55;X87
【相似文獻】
相關(guān)期刊論文 前10條
1 鄧祖琴;韓永翔;白虎志;趙天良;;中國大陸沙塵氣溶膠對海洋初級生產(chǎn)力的影響[J];中國環(huán)境科學;2008年10期
2 邵宇賓，李國勝;遙感與地理信息系統(tǒng)在海洋初級生產(chǎn)力研究中的應(yīng)用[J];地理學報;1995年S1期
3 唐世林;陳楚群;詹海剛;;海洋初級生產(chǎn)力的遙感研究進展[J];臺灣海峽;2006年04期
4 費尊樂;朱明遠;;海洋初級生產(chǎn)力的測定[J];黃渤海海洋;1984年01期
5 鄒亞榮,馬超飛,邵巖;遙感海洋初級生產(chǎn)力的研究進展[J];遙感信息;2005年02期
6 王桂云;毛興華;呂瑞華;李勃;;~(14)C法測定海洋初級生產(chǎn)力[J];黃渤海海洋;1984年01期
7 費尊樂，，李武;遙感海洋初級生產(chǎn)力的生物－地理動力學問題[J];黃渤海海洋;1996年02期
8 平仲良;從衛(wèi)星軌道測定海洋中的葉綠素[J];海洋科學;1979年02期
9 費尊樂;海水中葉綠素的測定[J];生態(tài)學雜志;1983年01期
10 屠霄霞;;鐵對海洋初級生產(chǎn)力的影響[J];農(nóng)機化研究;2007年03期
相關(guān)會議論文 前2條
1 張世強;;海洋初級生產(chǎn)力現(xiàn)場測量技術(shù)研究[A];中國科協(xié)2004年學術(shù)年會14分會場海洋開發(fā)與可持續(xù)發(fā)展論文匯編[C];2004年
2 鄧祖琴;韓永翔;白虎志;趙天良;;中國大陸沙塵氣溶膠對海洋初級生產(chǎn)力的影響[A];第26屆中國氣象學會年會大氣成分與天氣氣候及環(huán)境變化分會場論文集[C];2009年
相關(guān)重要報紙文章 前1條
1 張子倩;推開氣候變暖的“柴扉”[N];青島日報;2007年
相關(guān)博士學位論文 前1條
1 叢丕福;海洋葉綠素遙感反演及海洋初級生產(chǎn)力估算研究[D];中國科學院研究生院（遙感應(yīng)用研究所）;2006年
相關(guān)碩士學位論文 前2條
1 金松;海洋藻類災害遙感探測及海洋初級生產(chǎn)力反演[D];上海海洋大學;2016年
2 姜曉璐;東、黃海的大氣干、濕沉降及其對海洋初級生產(chǎn)力的影響[D];中國海洋大學;2009年
本文編號：2120216
本文鏈接：http://sikaile.net/kejilunwen/haiyang/2120216.html
最近更新
教材專著
