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基于长时序遥感影像的胶州湾秋季叶绿素a浓度变化及其影响因素研究

杨广普 江涛 赵永芳 黄珏

杨广普, 江涛, 赵永芳, 黄珏. 基于长时序遥感影像的胶州湾秋季叶绿素a浓度变化及其影响因素研究[J]. 海洋学报, 2019, 41(1): 183-190. doi: 10.3969/j.issn.0253-4193.2019.01.018
引用本文: 杨广普, 江涛, 赵永芳, 黄珏. 基于长时序遥感影像的胶州湾秋季叶绿素a浓度变化及其影响因素研究[J]. 海洋学报, 2019, 41(1): 183-190. doi: 10.3969/j.issn.0253-4193.2019.01.018
Yang Guangpu, Jiang Tao, Zhao Yongfang, Huang Jue. Study on variation in chlorophyll a concentration and its influencing factors of Jiaozhou Bay in autumn based on long term remote sensing images[J]. Haiyang Xuebao, 2019, 41(1): 183-190. doi: 10.3969/j.issn.0253-4193.2019.01.018
Citation: Yang Guangpu, Jiang Tao, Zhao Yongfang, Huang Jue. Study on variation in chlorophyll a concentration and its influencing factors of Jiaozhou Bay in autumn based on long term remote sensing images[J]. Haiyang Xuebao, 2019, 41(1): 183-190. doi: 10.3969/j.issn.0253-4193.2019.01.018

基于长时序遥感影像的胶州湾秋季叶绿素a浓度变化及其影响因素研究

doi: 10.3969/j.issn.0253-4193.2019.01.018
基金项目: 山东省自然科学基金项目(ZR2016DB23);国家自然科学基金项目(41706194);山东科技大学人才引进科研启动基金项目。

Study on variation in chlorophyll a concentration and its influencing factors of Jiaozhou Bay in autumn based on long term remote sensing images

  • 摘要: 水体中叶绿素a的含量是研究浮游植物生物量、初级生产力的重要指标,因此对于河口海湾区域叶绿素a的长期监测具有重要的生态学意义。借助遥感技术能够获取长时序大范围观测数据的特点,本文利用1986-2015年的Landsat TM/ETM+影像,通过构建基于实测数据的定量反演模型,得到了30年来胶州湾海域秋季叶绿素a浓度的分布情况:叶绿素a浓度的空间分布规律稳定,呈现西北高东南低的特点,叶绿素a浓度均值呈波动略有上升的趋势。本文利用遥感反演的胶州湾海表面温度及胶州湾流域的土地利用分类和景观格局指数,从自然因素和人为因素两方面对胶州湾叶绿素a浓度时空分布的影响因素进行分析,发现胶州湾秋季叶绿素a浓度与海表面温度密切相关,并且受到近海养殖区破碎化程度、修建大型人工设施等人为因素的影响。
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出版历程
  • 收稿日期:  2018-02-08
  • 修回日期:  2018-03-31

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