Long time SST and Chlorophyll-a Pigment concentration of Lake Van Using MODIS

Year 2021, Volume: 5 Issue: 1, 12 - 22, 31.03.2021

Mehmet Tahir Kavak

https://doi.org/10.31015/jaefs.2021.1.3

Cited By: 1

Abstract

Current work concentrated on long-time SST and Chlorophyll-a pigment concentration of Lake Van using Modis-Aqua acquired data. Investigating the relationship between sea surface temperature (SST) and chlorophyll-a (Chl-a) increases our understanding of marine ecosystem and also provide us to assess the effect on aquatic animals that may arise as a result of changes in the environment. Long term Sea Surface Temperature variability and its relationship with chlorophyll-a pigment of phytoplankton biomass were investigated by using MODIS-Aqua (Moderate Resolution Imaging Spectroradiometer) satellite imagery. SST and Chl-a acquired from MODIS-Aqua showed seasonal, annual and interannual variability of temperature. Monthly variability Chl-a from MODIS 2002 to 2020 also investigated, significant correlation between SST and Chl-a was not found P<0.05. First PCA of SST seems to show general average pattern of the lake, on the other hand PCA’s of Chl-a could not be calculated due to lack of null pixels within images. 

Keywords

Chlorophyll , SST , Lake Van , EOF , MODIS , Climate

References

• Adrian, R., O’Reilly, C. M., Zagarese, H., Baines, S. B., Hessen, D. O., Keller, W., . . . Winder, M. (2009). Lakes as sentinels of climate change. Limnology and oceanography, 54(6), 2283-2297.
• Britannica, E. (2019). Lake Van. Retrieved from https://www.britannica.com/place/Lake-Van
• Carpenter, S. R., Benson, B. J., Biggs, R., Chipman, J. W., Foley, J. A., Golding, S. A., . . . Kamarainen, A. M. J. A. B. (2007). Understanding regional change: a comparison of two lake districts. 57(4), 323-335.
• Cukur, D., Krastel, S., Cagatay, M. N., Damci, E., Meydan, A. F., & Kim, S. P. (2015). Evidence of extensive carbonate mounds and sublacustrine channels in shallow waters of Lake Van, eastern Turkey, based on high-resolution chirp subbottom profiler and multibeam echosounder data. Geo-Marine Letters, 35(5), 329-340. Doi: https://doi.org/10.1007/s00367-015-0410-x
• Çiftçi, Y., Isık, M., Alkevli, T., & Yesilova, C. J. G. E. J. (2008). Environmental geology of lake Van basin. 32, 45-77.
• Degens, E., Wong, H., Kempe, S., & Kurtman, F. J. G. R. (1984). A geological study of Lake Van, eastern Turkey. 73(2), 701-734.
• Degens, E. T., & Kurtman, F. (1978). The geology of lake Van: Mineral Research and Exploration Institute of Turkey.
• Develi, E. E. (2009). Denizel Fitoplanktonun Ekolojik Önemi ve Küresel İklim Değişikliğindeki Rolü. Mersin Üniversitesi Eğitim Fakültesi Dergisi, 5(2), 285-293. Doi: https://doi.org/10.17860/efd.99188
• Diankha, O., Sow, B. A., Thiaw, M., & Gaye, A. T. (2013). Seasonal variability of sea surface temperature, chlorophyll-a and Ethmalosa fimbriata abundance off the coast of Senegal %J Revista de Gestão Costeira Integrada. 13, 491-497.
• Fang, W., & Hsieh, W. W. (1993). Summer sea surface temperature variability off Vancouver Island from satellite data. 98(C8), 14391-14400. Doi: https://doi.org/10.1029/93jc01210
• Gallaudet, T. C., & Simpson, J. J. (1994). An empirical orthogonal function analysis of remotely sensed sea surface temperature variability and its relation to interior oceanic processes off Baja California.
• Hassol, S., Assessment, A. C. I., Monitoring, A., Programme, A., Flora, P. f. t. C. o. A., Fauna, & Committee, I. A. S. (2004). Impacts of a Warming Arctic - Arctic Climate Impact Assessment: Cambridge University Press.
• Hernandez-Guerra, A., & Nykjaer, L. (1997). Sea surface temperature variability off north-west Africa: 1981-1989. International Journal of Remote Sensing, 18(12), 2539-2558. Doi: https://doi.org/10.1080/014311697217468
• Jensen, J. R. (2005). Introductory Digital Image Processing: A Remote Sensing Perspective: Prentice Hall.
• Kadioğlu, M., Şen, Z., & Batur, E. (1997). The greatest soda-water lake in the world and how it is influenced by climatic change. Paper presented at the Annales Geophysicae.
• Kavak, M. T. (2012). Long Term Investigation of SST Regime Variability and Its Relationship with Phytoplankton in the Caspian Sea Using Remotely Sensed AVHRR and SeaWiFS Data. Turkish Journal of Fisheries and Aquatic Sciences, 12(3), 709-717. Doi: https://doi.org/10.4194/1303-2712-v12_3_20
• Kavak, M. T., & Karadogan, S. (2012). Investigation Sea Surface Temperature Variation of Lake Van Using AVHRR. Paper presented at the IV. Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu (UZAL-CBS 2012), Zonguldak.
• Kavak, M. T., & Karadogan, S. (2012). The relationship between sea surface temperature and chlorophyll concentration of phytoplanktons in the Black Sea using remote sensing techniques. J Environ Biol, 33(2 Suppl), 493-498.
• Kelly, K. A. (1985). The influence of winds and topography on the sea surface temperature patterns over the northern California slope. 90(C6), 11783-11798. Doi: https://doi.org/10.1029/JC090iC06p11783
• Lagerloef, G. S. E., & Bernstein, R. L. (1988). Empirical orthogonal function analysis of advanced very high resolution radiometer surface temperature patterns in Santa Barbara Channel. 93(C6), 6863-6873. Doi: https://doi.org/10.1029/JC093iC06p06863
• Nurdin, S., Mustapha, M. A., & Lihan, T. (2013). The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images. 1571(1), 466-472. Doi: https://doi.org/10.1063/1.4858699
• Paden, C. A., Abbott, M. R., & Winant, C. D. (1991). Tidal and atmospheric forcing of the upper ocean in the Gulf of California: 1. Sea surface temperature variability. 96(C10), 18337-18359. Doi: https://doi.org/10.1029/91jc01597
• Parsons, A. J. (1985). Principles of Remote Sensing. By P. J. Curran. (London: Longman, 1985) [Pp. 260.] Price £1195. International Journal of Remote Sensing, 6(11), 1765-1765. Doi: https://doi.org/10.1080/01431168508948322
• Pham, S. V., Leavitt, P. R., McGowan, S., Peres-Neto, P. J. L., & Oceanography. (2008). Spatial variability of climate and land use effects on lakes of the northern Great Plains. 53(2), 728-742.
• Rosenzweig, C., Casassa, G., Karoly, D. J., Imeson, A., Liu, C., Menzel, A., . . . Tryjanowski, P. (2007). Assessment of observed changes and responses in natural and managed systems.
• Sari, M., Polat, I., & Saydam, A. J. D. A. S. Ü. S. (2000). NOAA AVHRR Uydu Göruntuleri Ile Van Gölu Yuzey Sicakliğinin Izlenmesi, 4. 825-842.
• Tomonaga, Y., Brennwald, M. S., & Kipfer, R. (2011). Spatial distribution and flux of terrigenic He dissolved in the sediment pore water of Lake Van (Turkey). Geochimica Et Cosmochimica Acta, 75(10), 2848-2864. Doi: https://doi.org/10.1016/j.gca.2011.02.038
• Williamson, C. E., Dodds, W., Kratz, T. K., Palmer, M. A. J. F. i. E., & Environment, t. (2008). Lakes and streams as sentinels of environmental change in terrestrial and atmospheric processes. 6(5), 247-254.
• Wong, H., & Degens, E. J. D. v. K. M. Y. (1978). The bathymetry of Lake Van, eastern Turkey. 169, 6-11.
• Yıldız, M., & Deniz, O. J. F. U. J. o. S. S. (2005). The impacts of lake level changes in closed basin lakes on the coastal settlements: Lake Van example. 15(1), 15-31.