東海北部海洋浮游生態(tài)系統(tǒng)季節(jié)變化的模擬研究
發(fā)布時(shí)間：2021-10-24 22:29
作為生物圈的重要組成部分,海洋生態(tài)系統(tǒng)在連接大氣圈和巖石圈中扮演著重要的角色,同時(shí)也是海洋物質(zhì)循環(huán)和能量流動(dòng)中的重要組成部分。東海是中國典型的大陸架邊緣海,常年受到長江沖淡水、近岸水團(tuán)和外海洋流的影響,其水文條件和生物地球化學(xué)過程十分復(fù)雜。研究者們通常結(jié)合實(shí)地觀測數(shù)據(jù)和三維物理-生物地球化學(xué)耦合模型,來研究東海海洋生態(tài)系統(tǒng),但目前,尚缺乏對(duì)東海局地海洋生態(tài)系統(tǒng)的時(shí)空變化的高分辨率研究。本研究基于GOTM、ERSEM模型,在東海北部（125°E,31°N）建立了浮游生態(tài)系統(tǒng)要素的垂向一維模型,并動(dòng)態(tài)模擬了這些要素的季節(jié)、垂向變化。通過分析該區(qū)域浮游群落結(jié)構(gòu)的季節(jié)、垂向的變化,分析了要素間的相互作用和反饋機(jī)制,討論了控制這些過程的主控因子和協(xié)同作用,發(fā)現(xiàn)光照和營養(yǎng)鹽對(duì)浮游生態(tài)系統(tǒng)的季節(jié)性變化存在顯著性影響,從而為未來擴(kuò)展到三維模型的應(yīng)用奠定了基礎(chǔ)。模擬結(jié)果顯示,東海的物理場和營養(yǎng)鹽的模型數(shù)據(jù)和觀測數(shù)據(jù)的對(duì)比具有良好的一致性,說明該模型可以較真實(shí)的模擬東海的物化環(huán)境。其次,我們還分析了浮游生物的生物量的季節(jié)、垂向變化。在此基礎(chǔ)上,探討了浮游生態(tài)系統(tǒng)的主要要素間的相互作用和反饋機(jī)制,并進(jìn)一步分...
【文章來源】：華東師范大學(xué)上海市 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】：153 頁
【學(xué)位級(jí)別】：碩士
【文章目錄】：
摘要
ABSTRACT
1.Introduction
1.1 Overview of the hydrography,biogeochemistry and pelagic ecology of the East China Sea
1.1.1 Introduction of the East China Sea
1.1.2 Overview of the marine ecosystem in the East China Sea
1.2 Application of numerical models in marine science
1.2.1 International development of marine biogeochemical and ecological modelling
1.2.2 Domestic development in marine biogeochemical and ecological modelling
1.2.3 Application of1D marine ecosystem models
1.3 Research significance and content
2.Methods and materials
2.1 Study area
2.2 Physical model:GOTM
2.2.1 Mean flow model
2.2.2 Turbulence model
2.2.3 Grid and heat flux
2.3 Biogeochemical model:ERSEM
2.3.1 Phytoplankton
2.3.2 Zooplankton
2.3.3 Bacteria
2.3.4 POM and DOM
2.3.5 Nutrients,oxygen and dissolved inorganic carbon
2.3.6 Light
2.4 Coupling model:FABM
2.4.1 The coupling framework between physical model and biogeochemical model
2.4.2 Introduction of FABM
2.5 Model parameters setting,initial condition and data sources
2.5.1 Parameters setting of GOTM
2.5.2 Parameters setting of ERSEM
2.5.3 Initial values and data source
2.5.4 Mass conservation test of GOTM-FABM-ERSEM
2.5.5 Sensitivity analysis
2.6 Canonical Correspondence analysis
3.Seasonal variation of pelagic ecosystem
3.1 Physical variation
3.1.1 Light, mixed layer and turbulence
3.1.2 Temperature,salinity and density
3.2 Nutrients
3.3 Phytoplankton
3.4 Zooplankton and bacteria
3.5 Summary
4.Seasonal variability of pelagic ecosystem community structure
4.1 The annual cycle of the pelagic ecosystem
4.2 Seasonal changes in the relationship between phytoplankton communities and water environmental drivers
4.2.1 CCA analysis between the phytoplankton and environmental drivers in winter
4.2.2 CCA analysis between the phytoplankton and environmental drivers in spring
4.2.3 CCA analysis between the phytoplankton and environmental drivers in spring
4.2.4 CCA analysis between the phytoplankton and environmental drivers in the autumn
4.3 Effects of surface forcing and light on the pelagic ecosystem
4.3.1 Physical condition
4.3.2 Nutrients
4.3.3 Phytoplankton
4.3.4 Zooplankton and bacteria
4.4 Summary
5.Conclusions and prospects
5.1 Conclusions of this study
5.2 Challenges and future work
結(jié)論和展望
References
Research activities during the study period
Acknowledgements
【參考文獻(xiàn)】：
期刊論文
[1]海洋初級(jí)生產(chǎn)力的一維物理生態(tài)耦合模型[J]. 胡晨,孫志林,Dale A.Kiefer,李明佳. 浙江大學(xué)學(xué)報(bào)(工學(xué)版). 2018(05)
[2]長江口及鄰近海域浮游動(dòng)物生物量分布及季節(jié)變化[J]. 李曉慧,劉鎮(zhèn)盛. 海洋學(xué)研究. 2017(04)
[3]海洋浮游微食物網(wǎng)生物在海洋顆粒形成和沉降中的作用[J]. 趙苑,趙麗,董逸,李海波,張武昌,肖天. 海洋科學(xué)集刊. 2017(00)
[4]青草沙水庫浮游植物群落特征與水環(huán)境因子的典范對(duì)應(yīng)分析[J]. 吳婷,李靈慧,龔慶碗,黃清輝,李建華. 水資源研究. 2017(03)
[5]長江口及鄰近海域營養(yǎng)鹽的季節(jié)變化特征[J]. 劉雅麗,高磊,朱禮鑫,王騰,宋淑貞,李道季. 海洋環(huán)境科學(xué). 2017(02)
[6]波生運(yùn)動(dòng)和波湍相互作用對(duì)海洋上混合層影響的數(shù)值探究[J]. 朱冬琳,高勁松,管長龍. 海洋湖沼通報(bào). 2017(01)
[7]OpenMI技術(shù)在水文模型集成中的研究進(jìn)展[J]. 顏停霞,許金朵,林晨,段洪濤,馬榮華,胡維平,左一鳴. 南水北調(diào)與水利科技. 2016(05)
[8]海洋浮游細(xì)菌生長率和被攝食的研究綜述[J]. 張武昌,趙麗,陳雪,趙苑,董逸,李海波,肖天. 海洋科學(xué). 2016(05)
[9]海洋浮游橈足類攝食纖毛蟲的研究[J]. 張武昌,陳雪,李海波,豐美萍,于瑩,趙苑,肖天. 海洋與湖沼. 2014(04)
[10]2011年春夏季黃海和東海微型浮游動(dòng)物類群組成及其攝食的研究[J]. 蘇素紅,陳炳章,黃邦欽. 應(yīng)用海洋學(xué)學(xué)報(bào). 2014(01)
本文編號(hào)：3456104
【文章來源】：華東師范大學(xué)上海市 211工程院校 985工程院校 教育部直屬院校
【文章頁數(shù)】：153 頁
【學(xué)位級(jí)別】：碩士
【文章目錄】：
摘要
ABSTRACT
1.Introduction
1.1 Overview of the hydrography,biogeochemistry and pelagic ecology of the East China Sea
1.1.1 Introduction of the East China Sea
1.1.2 Overview of the marine ecosystem in the East China Sea
1.2 Application of numerical models in marine science
1.2.1 International development of marine biogeochemical and ecological modelling
1.2.2 Domestic development in marine biogeochemical and ecological modelling
1.2.3 Application of1D marine ecosystem models
1.3 Research significance and content
2.Methods and materials
2.1 Study area
2.2 Physical model:GOTM
2.2.1 Mean flow model
2.2.2 Turbulence model
2.2.3 Grid and heat flux
2.3 Biogeochemical model:ERSEM
2.3.1 Phytoplankton
2.3.2 Zooplankton
2.3.3 Bacteria
2.3.4 POM and DOM
2.3.5 Nutrients,oxygen and dissolved inorganic carbon
2.3.6 Light
2.4 Coupling model:FABM
2.4.1 The coupling framework between physical model and biogeochemical model
2.4.2 Introduction of FABM
2.5 Model parameters setting,initial condition and data sources
2.5.1 Parameters setting of GOTM
2.5.2 Parameters setting of ERSEM
2.5.3 Initial values and data source
2.5.4 Mass conservation test of GOTM-FABM-ERSEM
2.5.5 Sensitivity analysis
2.6 Canonical Correspondence analysis
3.Seasonal variation of pelagic ecosystem
3.1 Physical variation
3.1.1 Light, mixed layer and turbulence
3.1.2 Temperature,salinity and density
3.2 Nutrients
3.3 Phytoplankton
3.4 Zooplankton and bacteria
3.5 Summary
4.Seasonal variability of pelagic ecosystem community structure
4.1 The annual cycle of the pelagic ecosystem
4.2 Seasonal changes in the relationship between phytoplankton communities and water environmental drivers
4.2.1 CCA analysis between the phytoplankton and environmental drivers in winter
4.2.2 CCA analysis between the phytoplankton and environmental drivers in spring
4.2.3 CCA analysis between the phytoplankton and environmental drivers in spring
4.2.4 CCA analysis between the phytoplankton and environmental drivers in the autumn
4.3 Effects of surface forcing and light on the pelagic ecosystem
4.3.1 Physical condition
4.3.2 Nutrients
4.3.3 Phytoplankton
4.3.4 Zooplankton and bacteria
4.4 Summary
5.Conclusions and prospects
5.1 Conclusions of this study
5.2 Challenges and future work
結(jié)論和展望
References
Research activities during the study period
Acknowledgements
【參考文獻(xiàn)】：
期刊論文
[1]海洋初級(jí)生產(chǎn)力的一維物理生態(tài)耦合模型[J]. 胡晨,孫志林,Dale A.Kiefer,李明佳. 浙江大學(xué)學(xué)報(bào)(工學(xué)版). 2018(05)
[2]長江口及鄰近海域浮游動(dòng)物生物量分布及季節(jié)變化[J]. 李曉慧,劉鎮(zhèn)盛. 海洋學(xué)研究. 2017(04)
[3]海洋浮游微食物網(wǎng)生物在海洋顆粒形成和沉降中的作用[J]. 趙苑,趙麗,董逸,李海波,張武昌,肖天. 海洋科學(xué)集刊. 2017(00)
[4]青草沙水庫浮游植物群落特征與水環(huán)境因子的典范對(duì)應(yīng)分析[J]. 吳婷,李靈慧,龔慶碗,黃清輝,李建華. 水資源研究. 2017(03)
[5]長江口及鄰近海域營養(yǎng)鹽的季節(jié)變化特征[J]. 劉雅麗,高磊,朱禮鑫,王騰,宋淑貞,李道季. 海洋環(huán)境科學(xué). 2017(02)
[6]波生運(yùn)動(dòng)和波湍相互作用對(duì)海洋上混合層影響的數(shù)值探究[J]. 朱冬琳,高勁松,管長龍. 海洋湖沼通報(bào). 2017(01)
[7]OpenMI技術(shù)在水文模型集成中的研究進(jìn)展[J]. 顏停霞,許金朵,林晨,段洪濤,馬榮華,胡維平,左一鳴. 南水北調(diào)與水利科技. 2016(05)
[8]海洋浮游細(xì)菌生長率和被攝食的研究綜述[J]. 張武昌,趙麗,陳雪,趙苑,董逸,李海波,肖天. 海洋科學(xué). 2016(05)
[9]海洋浮游橈足類攝食纖毛蟲的研究[J]. 張武昌,陳雪,李海波,豐美萍,于瑩,趙苑,肖天. 海洋與湖沼. 2014(04)
[10]2011年春夏季黃海和東海微型浮游動(dòng)物類群組成及其攝食的研究[J]. 蘇素紅,陳炳章,黃邦欽. 應(yīng)用海洋學(xué)學(xué)報(bào). 2014(01)
本文編號(hào)：3456104
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