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
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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。
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.
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.
引文
[1] Song Zhaoun, Gong Liming, Chen Qiao, et al. Influence on the environment of the coastal area in Jiaozhou Bay of China[J]. Environmental Engineering and Management Journal, 2015, 14(8): 1897-1903.
[2] Zhao Ke, Qiao Lulu, Shi Jinghao, et al. Evolution of sedimentary dynamic environment in the western Jiaozhou Bay, Qingdao, China in the last 30 years[J]. Estuarine, Coastal and Shelf Science, 2015, 163: 244-253.
[3] Yang Shilun, Meng Yi, Zhang Jing, et al. Suspended particulate matter in Jiaozhou Bay: properties and variations in response to hydrodynamics and pollution[J]. Chinese Science Bulletin, 2004, 49(1): 91-97.
[4] 张莞君, 迟万清, 胡泽建, 等. 青岛胶州湾大桥建设对周边海域水动力环境影响的数值研究[J]. 海岸工程, 2015, 34(2): 40-50. Zhang Wanjun, Chi Wanqing, Hu Zejian, et al. Numerical study on the effect of the Jiaozhou Bay bridge construction on the hydrodynamic conditions in the surrounding sea area[J]. Coastal Engineering, 2015, 34(2): 40-50.
[5] 孙晓霞, 孙松, 张永山, 等. 胶州湾叶绿素a及初级生产力的长期变化[J]. 海洋与湖沼, 2011, 42(5): 654-661. Sun Xiaoxia, Sun Song, Zhang Yongshan, et al. Long-term changes of chlorophyll-a concentration and primary productivity in the Jiaozhou Bay[J]. Oceanologia et Limnologia Sinica, 2011, 42(5): 654-661.
[6] 王玉珏, 刘哲, 张永, 等. 2010-2011年胶州湾叶绿素a与环境因子的时空变化特征[J]. 海洋学报, 2015, 37(4): 103-116. Wang Yujue, Liu Zhe, Zhang Yong, et al. Temporal and spatial variations of chlorophyll a and environmental factors in Jiaozhou Bay in 2010-2011[J]. Haiyang Xuebao, 2015, 37(4): 103-116.
[7] 黄薇. 胶州湾叶绿素a浓度遥感产品检验与反演算法研究[D]. 青岛: 中国海洋大学, 2012. Huang Wei. MERIS chlorophyll-a concentration product validation and researching on the inversion algorithm of chlorophyll-a concentration for the Jiaozhou Bay[D]. Qingdao: Ocean University of China, 2012.
[8] 刘晓燕, 杨倩, 周燕. 基于MODIS/Aqua的胶州湾及青岛近海叶绿素a浓度年变化特征分析[J]. 海洋技术学报, 2015, 34(6): 65-69. Liu Xiaoyan, Yang Qian, Zhou Yan. Analysis on the annual change characteristics of chlorophyll-a concentration in the Jiaozhou Bay and Qingdao coastal area based on MODIS/Aqua[J]. Journal of Ocean Technology, 2015, 34(6): 65-69.
[9] Vanhellemont Q, Ruddick K. Advantages of high quality SWIR bands for ocean colour processing: examples from Landsat-8[J]. Remote Sensing of Environment, 2015, 161: 89-106.
[10] Vanhellemont Q, Ruddick K. Turbid wakes associated with offshore wind turbines observed with Landsat 8[J]. Remote Sensing of Environment, 2014, 145: 105-115.
[11] Huang Jue, Guo Lianjie, Jiang Tao, et al. Three decades of sea-ice variability in Jiaozhou Bay revealed by Landsat observations[J]. Journal of Ocean University of China, 2019, 18(1): 1-9.
[12] 邬明权, 韩松, 赵永清, 等. 应用Landsat TM影像估算渤海叶绿素a和总悬浮物浓度[J]. 遥感信息, 2012, 27(4): 91-95. Wu Mingquan, Han Song, Zhao Yongqing, et al. Quantitative estimation of chlorophyll-a and total suspended matter concentration with Landsat TM[J]. Remote Sensing Information, 2012, 27(4): 91-95.
[13] 黄灵光, 方豫, 张大文, 等. 基于Landsat-8 OLI的鄱阳湖叶绿素a浓度定量反演[J]. 江西科学, 2016, 34(4): 441-444, 456. Huang Lingguang, Fang Yu, Zhang Dawen, et al. Quantitative retrieval of chlorophyll a concentration based on Landsat-8 OLI in the lakes[J]. Jiangxi Science, 2016, 34(4): 441-444, 456.
[14] 谷俊鹏, 裴亮. 基于landsat8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究[J]. 测绘与空间地理信息, 2017, 40(5): 146-151, 156. Gu Junpeng, Pei Liang. Retrieval of chlorophyll content and temperature in Taihu based on landsat 8-OLI/TIRS and HJ-1B[J]. Geomatics & Spatial Information Technology, 2017, 40(5): 146-151, 156.
[15] 马荣华, 戴锦芳. 结合Landsat ETM与实测光谱估测太湖叶绿素及悬浮物含量[J]. 湖泊科学, 2005, 17(2): 97-103. Ma Ronghua, Dai Jinfang. Quantitative estimation of chlorophyll-a and total suspended matter concentration with Landsat ETM based on field spectral features of Lake Taihu[J]. Journal of Lake Sciences, 2005, 17(2): 97-103.
[16] 赵鹏, 夏北成, 秦建桥, 等. 流域景观格局与河流水质的多变量相关分析[J]. 生态学报, 2012, 32(8): 2331-2341. Zhao Peng, Xia Beicheng, Qin Jianqiao, et al. Multivariate correlation analysis between landscape pattern and water quality[J]. Acta Ecologica Sinica, 2012, 32(8): 2331-2341.
[17] 李振, 黄海军. 胶州湾海岸带土地利用/覆被变化研究[J]. 国土资源遥感, 2010(4): 71-76. Li Zhen, Huang Haijun. Land use and land cover change of the coastal zone around Jiaozhou Bay[J]. Remote Sensing for Land & Resources, 2010(4): 71-76.
[18] 韩凌云. 苏州市水岸带景观格局演变研究[D]. 南京: 南京林业大学, 2012. Han Lingyun. The evolution on landscape pattern of riparian zones in Suzhou City[D]. Nanjing: Nanjing Forestry University, 2012.
[19] 王艳玲, 安文超, 许颖. 胶州湾海域水质现状评价[J]. 环境科学与管理, 2011, 36(9): 164-167. Wang Yanling, An Wenchao, Xu Ying. Present status and environmental assessment on water quality of Jiaozhou Bay[J]. Environmental Science and Management, 2011, 36(9): 164-167.
[2] Zhao Ke, Qiao Lulu, Shi Jinghao, et al. Evolution of sedimentary dynamic environment in the western Jiaozhou Bay, Qingdao, China in the last 30 years[J]. Estuarine, Coastal and Shelf Science, 2015, 163: 244-253.
[3] Yang Shilun, Meng Yi, Zhang Jing, et al. Suspended particulate matter in Jiaozhou Bay: properties and variations in response to hydrodynamics and pollution[J]. Chinese Science Bulletin, 2004, 49(1): 91-97.
[4] 张莞君, 迟万清, 胡泽建, 等. 青岛胶州湾大桥建设对周边海域水动力环境影响的数值研究[J]. 海岸工程, 2015, 34(2): 40-50. Zhang Wanjun, Chi Wanqing, Hu Zejian, et al. Numerical study on the effect of the Jiaozhou Bay bridge construction on the hydrodynamic conditions in the surrounding sea area[J]. Coastal Engineering, 2015, 34(2): 40-50.
[5] 孙晓霞, 孙松, 张永山, 等. 胶州湾叶绿素a及初级生产力的长期变化[J]. 海洋与湖沼, 2011, 42(5): 654-661. Sun Xiaoxia, Sun Song, Zhang Yongshan, et al. Long-term changes of chlorophyll-a concentration and primary productivity in the Jiaozhou Bay[J]. Oceanologia et Limnologia Sinica, 2011, 42(5): 654-661.
[6] 王玉珏, 刘哲, 张永, 等. 2010-2011年胶州湾叶绿素a与环境因子的时空变化特征[J]. 海洋学报, 2015, 37(4): 103-116. Wang Yujue, Liu Zhe, Zhang Yong, et al. Temporal and spatial variations of chlorophyll a and environmental factors in Jiaozhou Bay in 2010-2011[J]. Haiyang Xuebao, 2015, 37(4): 103-116.
[7] 黄薇. 胶州湾叶绿素a浓度遥感产品检验与反演算法研究[D]. 青岛: 中国海洋大学, 2012. Huang Wei. MERIS chlorophyll-a concentration product validation and researching on the inversion algorithm of chlorophyll-a concentration for the Jiaozhou Bay[D]. Qingdao: Ocean University of China, 2012.
[8] 刘晓燕, 杨倩, 周燕. 基于MODIS/Aqua的胶州湾及青岛近海叶绿素a浓度年变化特征分析[J]. 海洋技术学报, 2015, 34(6): 65-69. Liu Xiaoyan, Yang Qian, Zhou Yan. Analysis on the annual change characteristics of chlorophyll-a concentration in the Jiaozhou Bay and Qingdao coastal area based on MODIS/Aqua[J]. Journal of Ocean Technology, 2015, 34(6): 65-69.
[9] Vanhellemont Q, Ruddick K. Advantages of high quality SWIR bands for ocean colour processing: examples from Landsat-8[J]. Remote Sensing of Environment, 2015, 161: 89-106.
[10] Vanhellemont Q, Ruddick K. Turbid wakes associated with offshore wind turbines observed with Landsat 8[J]. Remote Sensing of Environment, 2014, 145: 105-115.
[11] Huang Jue, Guo Lianjie, Jiang Tao, et al. Three decades of sea-ice variability in Jiaozhou Bay revealed by Landsat observations[J]. Journal of Ocean University of China, 2019, 18(1): 1-9.
[12] 邬明权, 韩松, 赵永清, 等. 应用Landsat TM影像估算渤海叶绿素a和总悬浮物浓度[J]. 遥感信息, 2012, 27(4): 91-95. Wu Mingquan, Han Song, Zhao Yongqing, et al. Quantitative estimation of chlorophyll-a and total suspended matter concentration with Landsat TM[J]. Remote Sensing Information, 2012, 27(4): 91-95.
[13] 黄灵光, 方豫, 张大文, 等. 基于Landsat-8 OLI的鄱阳湖叶绿素a浓度定量反演[J]. 江西科学, 2016, 34(4): 441-444, 456. Huang Lingguang, Fang Yu, Zhang Dawen, et al. Quantitative retrieval of chlorophyll a concentration based on Landsat-8 OLI in the lakes[J]. Jiangxi Science, 2016, 34(4): 441-444, 456.
[14] 谷俊鹏, 裴亮. 基于landsat8-OLI/TIRS和HJ-1B太湖叶绿素含量和温度反演研究[J]. 测绘与空间地理信息, 2017, 40(5): 146-151, 156. Gu Junpeng, Pei Liang. Retrieval of chlorophyll content and temperature in Taihu based on landsat 8-OLI/TIRS and HJ-1B[J]. Geomatics & Spatial Information Technology, 2017, 40(5): 146-151, 156.
[15] 马荣华, 戴锦芳. 结合Landsat ETM与实测光谱估测太湖叶绿素及悬浮物含量[J]. 湖泊科学, 2005, 17(2): 97-103. Ma Ronghua, Dai Jinfang. Quantitative estimation of chlorophyll-a and total suspended matter concentration with Landsat ETM based on field spectral features of Lake Taihu[J]. Journal of Lake Sciences, 2005, 17(2): 97-103.
[16] 赵鹏, 夏北成, 秦建桥, 等. 流域景观格局与河流水质的多变量相关分析[J]. 生态学报, 2012, 32(8): 2331-2341. Zhao Peng, Xia Beicheng, Qin Jianqiao, et al. Multivariate correlation analysis between landscape pattern and water quality[J]. Acta Ecologica Sinica, 2012, 32(8): 2331-2341.
[17] 李振, 黄海军. 胶州湾海岸带土地利用/覆被变化研究[J]. 国土资源遥感, 2010(4): 71-76. Li Zhen, Huang Haijun. Land use and land cover change of the coastal zone around Jiaozhou Bay[J]. Remote Sensing for Land & Resources, 2010(4): 71-76.
[18] 韩凌云. 苏州市水岸带景观格局演变研究[D]. 南京: 南京林业大学, 2012. Han Lingyun. The evolution on landscape pattern of riparian zones in Suzhou City[D]. Nanjing: Nanjing Forestry University, 2012.
[19] 王艳玲, 安文超, 许颖. 胶州湾海域水质现状评价[J]. 环境科学与管理, 2011, 36(9): 164-167. Wang Yanling, An Wenchao, Xu Ying. Present status and environmental assessment on water quality of Jiaozhou Bay[J]. Environmental Science and Management, 2011, 36(9): 164-167.