The relationship between sea surface temperature and chlorophyll concentration of phytoplanktons in the Black Sea using remote sensing techniques

被引:1
|
作者
Kavak, Mehmet Tahir [1 ]
Karadogan, Sabri [2 ]
机构
[1] Dicle Univ, ZG Fac Educ, Dept Phys, TR-21280 Diyarbakir, Turkey
[2] Dicle Univ, ZG Fac Educ, Dept Geog, TR-21280 Diyarbakir, Turkey
来源
JOURNAL OF ENVIRONMENTAL BIOLOGY | 2012年 / 33卷 / 02期
关键词
Sea surface temperature; Remote sensing; SeaWiFS; AVHRR; Black Sea; SATELLITE;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Present work investigated the relationship between Chlorophyll (Chl), of phytoplankton biomass, and sea surface temperature (SST) of the Black Sea, using Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Advanced Very High Resolution Radiometer (AVHRR) satellite imagery. Satellite derived data could provide information on the amount of sea life present (Brown algae, called kelp, proliferate, supporting new species of sea life, including otters, fish, and various invertebrates) in a given area throughout the world. SST from AVHRR from 1993 to 2008 showed seasonal, annual and interannual variability of temperature, monthly variability Chi from SeaWiFS from 1997 to 2009 has also been investigated. Chi showed two high peaks for the year 1999 and 2008. The correlation between SST and Chl for the same time has been found to be 60%. Correlation was significant at p<0.05. The information could also be useful in connection with studies of global changes in temperature and what effect they could have on the total abundance of marine life.
引用
收藏
页码:493 / 498
页数:6
相关论文
共 50 条
  • [31] Formulation of an Empirical Relation between Chlorophyll and Sea Surface Temperature in the Southeastern Arabian Sea
    Cheriyan, Eldhose
    Maheswaran, P. A.
    Rao, A. Raghunadha
    Sanilkumar, K., V
    DEFENCE SCIENCE JOURNAL, 2019, 69 (02) : 131 - 135
  • [32] The Effect of Dust Transport on the Concentration of Chlorophyll-A in the Surface Layer of the Black Sea
    Varenik, Alla V.
    Kalinskaya, Darya, V
    APPLIED SCIENCES-BASEL, 2021, 11 (10):
  • [33] Seasonal and interannual variations of surface chlorophyll concentration in the Black Sea on CSCZ data
    Nezlin, NP
    Dyakonov, VY
    ECOSYSTEM MODELING AS A MANAGEMENT TOOL FOR THE BLACK SEA, VOL 1, 1998, 47 (01): : 137 - 150
  • [34] Characterization of Oil Slicks at Sea Using Remote Sensing Techniques
    Loos, Eduardo
    Brown, Leslie
    Borstad, Gary
    Mudge, Todd
    Alvarez, Mar
    2012 OCEANS, 2012,
  • [35] Empirical relationship between sea surface temperature and water vapor: Improvement of the physical model with remote sensing derived data
    Zhang, Caiyun
    Qiu, Fang
    JOURNAL OF OCEANOGRAPHY, 2008, 64 (01) : 163 - 170
  • [36] Empirical relationship between sea surface temperature and water vapor: Improvement of the physical model with remote sensing derived data
    Caiyun Zhang
    Fang Qiu
    Journal of Oceanography, 2008, 64 : 163 - 170
  • [37] Systematic Literature Review of Various Neural Network Techniques for Sea Surface Temperature Prediction Using Remote Sensing Data
    Lalita Chaudhary
    Shakti Sharma
    Mohit Sajwan
    Archives of Computational Methods in Engineering, 2023, 30 : 5071 - 5103
  • [38] Simultaneous remote sensing of chlorophyll, sea ice and sea surface temperature in the Antarctic waters with special reference to the primary production from ice algae
    Meguro, H
    Toba, Y
    Murakami, H
    Kimura, N
    CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA, 2004, 33 (07): : 1168 - 1172
  • [39] Systematic Literature Review of Various Neural Network Techniques for Sea Surface Temperature Prediction Using Remote Sensing Data
    Chaudhary, Lalita
    Sharma, Shakti
    Sajwan, Mohit
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2023, 30 (08) : 5071 - 5103
  • [40] Trends and relationship between chlorophyll-a and sea surface temperature in the central equatorial Indian Ocean
    Kumar, G. Shiva
    Prakash, Satya
    Ravichandran, M.
    Narayana, A. C.
    REMOTE SENSING LETTERS, 2016, 7 (11) : 1093 - 1101