测绘通报 ›› 2020, Vol. 0 ›› Issue (6): 39-44.doi: 10.13474/j.cnki.11-2246.2020.0177

• 学术研究 • 上一篇    下一篇

中国东海叶绿素浓度变化分析及其海水温度响应

江杉1,2,3, 王益澄4, 马仁锋1,2,3   

  1. 1. 宁波大学地理与空间信息技术系, 浙江 宁波 315211;
    2. 宁波市高等学校协同创新中心“宁波陆海国土空间利用与治理协同创新中心”, 浙江 宁波 315211;
    3. 浙江省新型重点专业智库宁波大学东海研究院, 浙江 宁波 315211;
    4. 宁波大学建筑系, 浙江 宁波 315211
  • 收稿日期:2019-10-31 修回日期:2020-04-20 发布日期:2020-07-01
  • 通讯作者: 王益澄。E-mail:wangyicheng@nbu.edu.cn E-mail:wangyicheng@nbu.edu.cn
  • 作者简介:江杉(1997-),女,硕士生,主要从事遥感与地理信息系统的理论及应用。E-mail:3226354283@qq.com
  • 基金资助:
    国家自然科学基金面上项目(41771174);浙江省科技厅软科学重点项目(2019C25015)

Change conalysis of chlorophyll concentration in the East China Sea and its response to seawater temperature

JIANG Shan1,2,3, WANG Yicheng4, MA Renfeng1,2,3   

  1. 1. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China;
    2. Ningbo Universities Collaborative Innovation Center for Land and Marine Spatial Utilization and Governance Research at Ningbo University, Ningbo 315211, China;
    3. Institute of East China Sea, Ningbo University, Ningbo 315211, China;
    4. Department of Architecture, Ningbo University, Ningbo 315211, China
  • Received:2019-10-31 Revised:2020-04-20 Published:2020-07-01

摘要: 海洋叶绿素浓度时空格局分析及与海水温度的响应研究对于海洋资源的开发和保护及赤潮的预防具有重要意义。本文基于2004—2018年东海叶绿素浓度和海水温度数据运用趋势分析及ArcGIS10.2软件,对东海叶绿素浓度作了时空分析研究,并结合海水温度进行了回归分析,以探究叶绿素对海水温度变化的响应机制。结果表明:①东海叶绿素浓度在2004—2018年间没有明显的年际变化特征。年内则随时间上下波动,冬季为波峰,夏季为波谷。离海岸带越近,叶绿素浓度越高。②东海海域海水温度在年际尺度上呈波动式起伏变化。在季节尺度上夏秋两季温度较高,春季次之,冬季最低。从沿海到外海海域海温逐渐升高。③就空间相关性而言,东海海域叶绿素浓度与海水温度整体呈负相关,在不同海域相关程度不同。长江口和外海区域叶绿素浓度与海水温度具有很强的相关性;在沿海区域,由于受到城市环境、经济发展及人类生产生活的影响,海水温度与叶绿素浓度的相关性不明显。

关键词: 叶绿素浓度, 海水温度, 时空变化特征, 遥感监测, 东海

Abstract: The analysis of temporal and spatial pattern of ocean chlorophyll concentration and its response to sea water temperature are of great significance for the development and protection of ocean resources and the prevention of red tide. Based on the data of chlorophyll concentration and sea water temperature in the East China Sea from 2004 to 2018, the paper uses the trend analysis and ArcGIS10.2 software, does the space-time analysis of Chlorophyll concentration in the East China Sea, and combines with the water temperature carried on the regression analysis to explore the Chlorophyll of the response mechanism of the water temperature changes. The results show that: ①Chlorophyll concentration in the East China Sea shows no significant interannual variation between 2004 and 2018.Chlorophyll concentration in the East China Sea fluctuates up and down during the year, with peaks in winter and troughs in summer. The closer to the coastal zone, the higher the chlorophyll concentration.②The sea water temperature in the East China Sea area fluctuates on an interannual scale, with a higher temperature in summer and autumn on a seasonal scale, followed by spring and the lowest in winter. Sea surface temperature rises gradually from the coast to the open sea. ③In terms of spatial correlation, chlorophyll concentration in the East China Sea is negatively correlated with seawater temperature as a whole, and the degree of correlation is different in different sea areas. There is a strong correlation between chlorophyll concentration and seawater temperature in the Yangtze River Delta and offshore area. In coastal areas, due to the influence of urban environment, economic development and human production and life, the correlation between seawater temperature and chlorophyll concentration is not obvious.

Key words: chlorophyll concentration, seawater temperature, spatial temporal variability, remote sensing monitoring, East China Sea

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