围填海工程近岸水体叶绿素a浓度变化遥感监测分析
Remote Sensing Monitoring and Analysis of Chlorophyll-a Concentration Change in Coastal Waters of Reclamation Project
DOI: 10.12677/OJNS.2019.73031, PDF,   
作者: 张云飞, 李杨:江西理工大学建筑与测绘工程学院,江西 赣州
关键词: 凤凰岛叶绿素a遥感反演Phoenix Island Chlorophyll a Remote Sensing Inversion
摘要: 基于Landsat影像,建立三亚湾凤凰岛周围水体叶绿素a浓度数学回归模型,反演凤凰岛周围水体叶绿素a浓度,从时间和空间角度分析凤凰岛二期施工建设对水体叶绿素a浓度变化的影响。结果表明:三亚湾及凤凰岛附近水域叶绿素a浓度在逐年升高;2014年4月凤凰岛二期开始施工后,周围海域叶绿素a浓度上升速度加快,填海完成后这一影响会逐渐消失。靠近凤凰岛的海域比远离的海域叶绿素a浓度高,施工建设期间近岸水体叶绿素a浓度变化速率不同于远离人工岛的海域;离岸距离相同的情况下,紧邻凤凰岛的水体比远离凤凰岛的叶绿素a浓度高。这些现象反映了凤凰岛填海过程造成的一些影响会促使局部水域叶绿素a浓度快速增大,从而在一定程度上改变了近岸海洋水体生态环境。
Abstract: Based on the Landsat image, a mathematical regression model of chlorophyll a concentration in the water around Phoenix Island in Sanya Bay was established to invert the concentration of chlorophyll a in the water around Phoenix Island. The influence of the construction of the second phase of Phoenix Island on the change of chlorophyll a concentration in water was analyzed from the perspective of time and space. The results showed that the concentration of chlorophyll a in the waters around Sanya Bay and Phoenix Island increased year by year. After the construction of the second phase of Phoenix Island in April 2014, the concentration of chlorophyll a in the surrounding sea area increased, and the effect gradually disappeared after the completion of reclamation. The concentration of chlorophyll a in the sea near Phoenix Island is higher than that in the far-off sea. The rate of change of chlorophyll a concentration in the nearshore water body during construction is different from that in the sea away from the artificial island. When the offshore distance is the same, the water body adjacent to Phoenix Island is farther away from Phoenix Island. The concentration of chlorophyll a is high. These phenomena reflect that some effects caused by the reclamation process of Phoenix Island will promote the rapid increase of chlorophyll a concentration in local waters, thus changing the ecological environment of coastal ocean waters to some extent.
文章引用:张云飞, 李杨. 围填海工程近岸水体叶绿素a浓度变化遥感监测分析[J]. 自然科学, 2019, 7(3): 215-224. https://doi.org/10.12677/OJNS.2019.73031

参考文献

[1] 范小杉, 何萍, 董敬儒. 基于项目可持续发展规划的海岸带生态承载力评价研究进展[J]. 地球科学进展, 2017, 32(1): 90-100.
[2] 高志强, 刘向阳, 宁吉才, 等. 基于遥感的近30a中国海岸线和围填海面积变化及成因分析[J]. 农业工程学报, 2014, 30(12): 140-147.
[3] 蔡权德. 基于平面点格拓扑结构的大连市围填海与城市空间关系研究[J]. 海洋环境科学, 2014, 33(3): 459-465.
[4] 苗钰婷. 围海造陆的发展现状及未来发展趋势分析[J]. 科技创新与应用, 2017(21): 184-185.
[5] 安国强. 基于多源数据的山东省围填海造地特点及发展趋势研究[J]. 海洋开发与管理, 2018, 35(3): 15-20.
[6] 殷缶, 梅深. “海上人工岛建设关键技术研究”总体达国际先进水平[J]. 水道港口, 2014(3): 202.
[7] 李文杰, 沈永明. 长江口北支中束窄工程对周边水动力及水质的影响[J]. 水运工程, 2017(12): 42-50.
[8] 曹迪凡. 南汇东滩促淤圈围工程对周围水环境影响的数值模拟研究[D]: [硕士学位论文]. 大连: 大连理工大学, 2017.
[9] Tang, D.L., Ni, I.H., Müller-Karger, F.E., et al. (1998) Analysis of Annual and Spa-tial Patterns of CZCS-Derived Pigment Concentration on the Continental Shelf of China. Continental Shelf Research, 18, 1493-1515. [Google Scholar] [CrossRef
[10] 罗建美, 霍永伟, 韩晓庆. 基于HJ卫星的近岸Ⅱ类水体叶绿素a浓度定量遥感反演研究——以滦河口北部海域为例[J]. 海洋学报, 2017, 39(39): 129.
[11] 陈芸芝, 郑高强, 汪小钦, 等. 基于GSM01融合的多传感器数据叶绿素a浓度反演[J]. 地球信息科学学报, 2013, 15(6): 911-917.
[12] 张明慧, 苏华, 季博文. MODIS时序影像的福建近岸叶绿素a浓度反演[J]. 环境科学学报, 2018, 38(12): 270-278.
[13] 李莉, 尹球, 巩彩兰, 等. 太湖不同叶绿素a浓度水体荧光特征分析[J]. 光谱学与光谱分析, 2011, 31(1): 136-140.
[14] Gitelson, A.A. (1993) Nature of the Peak near 700 nm on the Radiance Spectra and Its Ap-plication for Remote Estimation of Phytoplankton Pigments in Inland Waters. Proceedings of SPIE—The International Society for Optical Engineering, 1971, 170-179. [Google Scholar] [CrossRef
[15] Gitelson, A.A., Gritz, Y. and Merzlyak, M.N. (2003) Relationships between Leaf Chlorophyll Content and Spectral Reflectance and Algorithms for Non-Destructive Chlorophyll Assessment in Higher Plant Leaves. Journal of Plant Physiology, 160, 271-282. [Google Scholar] [CrossRef] [PubMed]
[16] 张瑶, 郑立华, 孙红, 等. 基于二维相关光谱的水体叶绿素含量探测[J]. 光谱学与光谱分析, 2014, 34(2): 389-393.
[17] 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J]. 遥感学报, 2005, 9(5): 79-85.
[18] 陈楚群, 施平, 庆文. 南海海域叶绿素浓度分布特征的卫星遥感分析[J]. 热带海洋学报, 2001, 20(2): 66-70.
[19] 赵辉, 齐义泉, 王东晓, 等. 南海叶绿素浓度季节变化及空间分布特征研究[J]. 海洋学报(中文版), 2005, 27(4): 45-52.
[20] 古园园, 王静, 储小青, 等. 夏季南海西部叶绿素浓度高值带的年际变化[J]. 海洋学报, 2017, 39(6): 1-9.
[21] 林丽茹, 赵辉. 南海海域浮游植物叶绿素与海表温度季节变化特征分析[J]. 海洋学研究, 2012, 30(4): 46-54.