Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-α concentration in the East China Sea

被引:69
作者
Ji, Chenxu [1 ]
Zhang, Yuanzhi [1 ,2 ]
Cheng, Qiuming [3 ]
Tsou, JinYeu [2 ]
Jiang, Tingchen [4 ]
Liang, X. San [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China
[2] Chinese Univ Hong Kong, Ctr Housing Innovat, Shatin, Hong Kong, Peoples R China
[3] China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Beijing 100083, Peoples R China
[4] Huaihai Inst Technol, Fac Surveying & Mapping, Lianyungang 222005, Peoples R China
来源
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2018年 / 68卷
关键词
Sea surface temperature (SST); Chlorophyll-alpha concentration (Chl-a); The East China Sea (ECS); DINEOF; MODIS data; INFECTIOUS-DISEASE; A CONCENTRATION; RECONSTRUCTION; VARIABILITY; CLIMATE; WATERS; TREND;
D O I
10.1016/j.jag.2018.01.020
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this study, we analyze spatial and temporal sea surface temperature (SST) and chlorophylla (Chl-a) concentration in the East China Sea (ECS) during the period 2003-2016. Level 3 (4 km) monthly SST and Chl-a data from the Moderate Resolution Imaging Spectroradiometer Satellite (MODIS-Aqua) were reconstructed using the data interpolation empirical orthogonal function (DINEOF) method and used to evaluated the relationship between the two variables. The approaches employed included correlation analysis, regression analysis, and so forth. Our results show that certain strong oceanic SSTs affect Chl-a concentration, with particularly high correlation seen in the coastal area of Jiangsu and Zhejiang provinces. The mean temperature of the high correlated region was 18.67 degrees C. This finding may suggest that the SST has an important impact on the spatial distribution of Chl-a concentration in the ECS.
引用
收藏
页码:252 / 261
页数:10
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