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Surface chlorophyll distributions in the upper Gulf of Thailand investigated using satellite imagery and ecosystem model.

机译:使用卫星图像和生态系统模型调查了泰国上海湾的表面叶绿素分布。

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摘要

MERIS data and Nutrient-Phytoplankton-Zooplankton-Detritus (NPZD) ecosystem model coupled with the Princeton Ocean Model (POM), were used to investigate seasonal variations in surface chlorophyll distributions and their controlling factors to clarify phytoplankton dynamics in the upper Gulf of Thailand. Chlorophyll maps were produced by application on MERIS Level 2 data an empirical algorithm derived from the regression analysis of the relationship between chlorophyll-a concentration and remote sensing reflectance ratio. The results indicated that the patterns of seasonal chlorophyll distributions corresponded to local wind and water circulations. The model simulation highlighted the importance of river water as a significant nutrient source, and its movement after discharge into the sea is controlled by seasonal circulations. High chlorophyll concentration located along the western coast following the direction of counter-clockwise circulation, forced by the northeast winds, while chlorophyll accumulation was observed in the northeastern corner of the gulf due to clockwise circulation, driven by the southwest winds. These key simulated results are consistent with those of field observations and satellite images captured in the same periods of time, and also described seasonal shifting of blooming areas previously reported. Sensitivity analysis of simulated chlorophyll distributions suggested that not only nutrients but also wind-induced vertical movement plays a significant role in controlling phytoplankton growth. Plankton blooms occur in zones of upwelling or where vertical diffusivities are low. Increasing nutrients in the water column due to river loads leads to increasing potential for severe plankton blooms when other photosynthetic factors, such as water stability and light, are optimized. The knowledge of seasonal patterns of blooming can be used to construct environmental risk maps which are very useful for planning to mitigate the eutrophic problems. Effective measures need to be applied to control amount of nutrients released into natural water in order to minimize severity of red tides.
机译:利用MERIS数据和养分-浮游植物-浮游生物-碎屑(NPZD)生态系统模型以及普林斯顿海洋模型(POM),调查了泰国上海湾的表层叶绿素分布的季节变化及其控制因素,以阐明浮游植物的动态。叶绿素图是通过将MERIS Level 2数据应用于叶绿素a浓度与遥感反射率之间关系的回归分析得出的经验算法而生成的。结果表明,季节性叶绿素分布模式与当地的风和水循环相对应。模型模拟强调了河水作为重要养分来源的重要性,其排入大海后的运动受季节环流的控制。在东北风的推动下,沿逆时针循环方向位于西海岸的叶绿素浓度较高,而在西南风的推动下,由于顺时针循环,在海湾东北角观察到叶绿素积累。这些关键的模拟结果与在相同时间段内进行的野外观测和卫星图像的观测结果一致,并且还描述了先前报道的开花区域的季节性变化。对模拟叶绿素分布的敏感性分析表明,不仅营养素而且风致垂直运动在控制浮游植物生长方面也起着重要作用。浮游生物开花发生在上升流区或垂直扩散率低的区域。当优化其他光合作用因素(例如水稳定性和光照)时,由于河流负荷导致水柱中养分增加,导致严重浮游生物开花的可能性增加。盛开的季节模式的知识可用于构建环境风险图,这对于规划减轻富营养化问题非常有用。需要采取有效措施来控制释放到天然水中的营养物质的量,以最大程度地减少赤潮的严重程度。

著录项

  • 作者

    Buranapratheprat, Anukul.;

  • 作者单位

    University of Victoria (Canada).;

  • 授予单位 University of Victoria (Canada).;
  • 学科 Biology Ecology.;Remote Sensing.;Physical Geography.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 257 p.
  • 总页数 257
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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