| 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 |
| 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 |
| Study on variation in chlorophyll a concentration and its influencing factors of Jiaozhou Bay in autumn based on long term remote sensing images |
| 投稿时间：2018-02-08 修订日期：2018-03-31 |
| DOI：10.3969/ji.ssn.0253-4193.2019.01.018 |
| 中文关键词: 叶绿素a 时空分布 遥感定量反演 土地利用变化 景观格局 |
| 英文关键词:chlorophyll a spatial-temporal distribution remote sensing quantitative inversion land use change landscape pattern |
| 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。 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| The concentration of chlorophyll a in water is an important indicator for study in phytoplankton biomass and primary productivity. Therefore, the long-term monitoring of chlorophyll a in the estuary area has important ecological significance. Remote sensing technology can obtain large-scale observation results of long time series. Using Landsat TM/ETM+ remote sensing images from 1986 to 2015, we constructed a quantitative inversion model based on field measured data and obtained the spatial-temporal distribution of chlorophyll a concentration in Jiaozhou Bay over the past 30 years. The variation pattern of chlorophyll a is stable; chlorophyll a is higher in the northwest and lower in the southeast. The mean value of chlorophyll a concentration shows a slight upward trend. Taking advantage of sea surface temperature, land use classification and landscape pattern index retrieved from remote sensing images, the influence factors of spatial-temporal distribution of chlorophyll a concentration of Jiaozhou Bay are analyzed. The chlorophyll a concentration is closely related to the sea surface temperature. In addition, it is also influenced by human factors, such as the landscape pattern index of aquiculture area and construction of large artificial facilities. |
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