印尼周邊海域具有海洋生物多樣性高和生產(chǎn)力高的特點(diǎn),也是世界是重要的漁業(yè)資源區(qū),每年出產(chǎn)480萬(wàn)噸深海魚(yú)類(lèi)。上升流區(qū)海水涌升和劇烈地垂直運(yùn)動(dòng),對(duì)漁業(yè)產(chǎn)量有著重要的影響。精確的上升流預(yù)測(cè)能夠?yàn)闈O業(yè)生產(chǎn)和漁業(yè)資源管理提供科學(xué)的依據(jù),幫助提高經(jīng)濟(jì)效益。提出一種可以表示上升流變化的簡(jiǎn)單表述,是描述上升流區(qū)域的位置和強(qiáng)度的迫切需要。國(guó)家海洋局海洋環(huán)境與數(shù)值模擬實(shí)驗(yàn)室（MASNUM）發(fā)展的三維海浪潮流耦合模式,顯著提高了在中國(guó)近海的模擬性能：在馬來(lái)西來(lái)海域也表現(xiàn)出了較好的模擬能力。本文將應(yīng)用該模式模擬印度尼西亞海區(qū)的上升流。用基于垂直速度計(jì)算得到的上升流指數(shù)來(lái)表示上升流的變化,并與葉綠素a和漁業(yè)產(chǎn)量進(jìn)行對(duì)比。數(shù)值模式因其較高的時(shí)空分辨率,為上升流指數(shù)的計(jì)算的提供了一種非常重要工具。本文中采用了并行計(jì)算的方法來(lái)提高計(jì)算效率。為檢驗(yàn)?zāi)Ｊ降哪M性能,對(duì)模式的模擬結(jié)果與衛(wèi)星觀測(cè)數(shù)據(jù)和現(xiàn)場(chǎng)觀測(cè)數(shù)據(jù)進(jìn)行了對(duì)比；海浪模式計(jì)算的有效波高（SWH）與Jason-1衛(wèi)星數(shù)據(jù)進(jìn)行了比較。海浪模式在側(cè)邊界有較大的誤差,并且冬季誤差要大于夏季誤差。模式的水平網(wǎng)格分辨率不夠,在與觀測(cè)站點(diǎn)對(duì)比時(shí)會(huì)產(chǎn)生誤差；同時(shí)垂向sigma分層... 

【文章來(lái)源】：中國(guó)海洋大學(xué)山東省 211工程院校 985工程院校 教育部直屬院校

【文章頁(yè)數(shù)】：98 頁(yè)

【學(xué)位級(jí)別】：博士

【文章目錄】：
摘要
Abstract
1. Introduction
    1.1 The General Dynamics of the circulation in the Indonesian Seas
        1.1.1 The Monsoon
        1.1.2 The Indonesian Throughflow
        1.1.3 El Nino Southern Oscillation （ENSO）
        1.1.4 Indian Ocean Dipole （IOD）
    1.2 The surface wave in the Indonesian Seas
    1.3 The tide system in the Indonesian Seas
    1.4 The Upwelling System in Indonesia
    1.5 Fisheries Management in Indonesia
2. The Development of the Wave-Tide-Circulation Coupled Model inIndonesian Sea
    2.1 The Introduction of the Wave-Tide-Circulation Coupled Model
        2.1.1 MASNUM Wave Number Spectral Model
        2.1.2 Circulation Model
        2.1.3 Parallelization the circulation simulation using Single Program Multiple Data（SPMD）
        2.1.4 Coupled Model System
    2.2 The input data for MASNUM Wave Number Spectral Model
        2.2.1 Bathymetry
        2.2.2 Wind Speed
    2.3 The input data for Circulation Coupled Model
        2.3.1 Temperature and Salinity
        2.3.2 Atmospheric Forcing
        2.3.3 Tides
    2.4 Model validation
        2.4.1 Wave validation
        2.4.2 Tide validation
        2.4.3 Temperature validation based on ARGO and buoy data
        2.4.4 Current validation
3. Upwelling Simulation and Analysis
    3.1 Application for Indonesian Seas
        3.1.1 The Study Area
        3.1.2 Upwelling Process and Variability in Eastern Indian Ocean
    3.2 The Response to Dipole Mode Event
    3.3 Upwelling Zone
    3.4 Upwelling Index
        3.4.1 The definition of the upwelling index
        3.4.2 Upwelling Index from the Wave-Tide-Circulation Coupled Model
        3.4.3 Upwelling Index in Eastern Indian Ocean
    3.5 The relationship between upwelling and chlorophyll-a
4. Relationship of upwelling and fisheries resources
    4.1 Pelagic Fish Behavior
    4.2 Fishing port in Eastern Indian Ocean
        4.2.1 Pelabuhan Ratu Fish Port
        4.2.2 Cilacap Fish Port
        4.2.3 Perigi Fish Port
    4.3 Correlation between upwelling index and pelagic fish resources
        4.3.1 Pelabuhan Ratu Fish Port
        4.3.2 Cilacap Fish Port
        4.3.3 Perigi Fish Port
Conclusions and Future Works
References
Acknowledgement
Resume



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