Araştırma Makalesi

İskenderun Körfezi kıyı alanlarında sıcaklık ve klorofil-a için uydu ve model temelli veri setlerinin temsil yeteneği üzerine bir değerlendirme

Cilt: 41 Sayı: 3 15 Eylül 2024
PDF İndir
EN TR

An evaluation on the proximity of satellite- and model-based datasets of temperature and chlorophyll-a in coastal areas of İskenderun Bay

Abstract

This study investigates the monitoring of sea surface temperature (SST) and chlorophyll-a (Chl-a) levels in Iskenderun Bay using satellite and modeling data and evaluates the possible use of these datasets for monitoring marine ecosystems. Datasets derived from MODIS-Aqua satellite imagery and modeling data obtained from the Copernicus MyOcean and in-situ measurements were used in the study. According to the analysis on paried data sets of the distribution of SST and chl-a, sattelite and model datasets showed statistically significant correlations with in-situ measurements for SST. However, only satellite dataset showed significant correlations for chl-a. Evaluations on uncertainty of the data sets revealed that the satellite dataset had a narrower range and less outlier distribution for SST. For chlorophyll-a, both datasets had wide uncertainty ranges and required further improvement. This study highlights the potential of satellite and model datasets for monitoring SST and chl-a variations in Iskenderun Bay.

Keywords

Destekleyen Kurum

Bu çalışma TUBİTAK 2218 Programı tarafından (121C439) desteklenmiştir.

Proje Numarası

121C439

Etik Beyan

Bu çalışma için etik onay gerekli değildir.

Teşekkür

Bu çalışma TUBİTAK 2218 Programı tarafından (121C439) desteklenmiştir.

Kaynakça

  1. Abbas, M.M., Melesse, A. M., Scinto, L.J., & Rehage, J. (2019). Satellite estimation of chlorophyll-a using moderate resolution imaging spectroradiometer (MODIS) sensor in shallow coastal water bodies: Validation and improvement. Water, 11(8), 1621. https://doi.org/10.3390/w11081621
  2. Acker, J.G., & Leptoukh, G. (2007). Online analysis enhances use of NASA Earth science data. Eos, Transactions American Geophysical Union, 88(2), 14-17. https://doi.org/10.1029/2007EO020003
  3. Agate, J., Ballinger, R., & Ward, R.D. (2024). Satellite remote sensing can provide semi-automated monitoring to aid coastal decision-making. Estuarine, Coastal and Shelf Science, 298, 108639. https://doi.org/10.1016/j.ecss.2024.108639
  4. Ali, K.A., Ortiz, J., Bonini, N., Shuman, M., & Sydow, C. (2016). Application of Aqua MODIS sensor data for estimating chlorophyll a in the turbid case 2 waters of Lake Erie using bio-optical models. GIScience & Remote Sensing, 53(4), 483 505. https://doi.org/10.1080/15481603.2016.1177248
  5. Avşar, D. (1999). Yeni bir skifomedüz (Rhopilema nomadica)’ün dağılımı ile ilgili olarak Doğu Akdeniz’in fiziko-kimyasal özellikleri. Turkish Journal of Zoology, 23(2), 605–616.
  6. Baklanov, A.A., Grisogono, B., Bornstein, R., Mahrt, L., Zilitinkevich, S.S., Taylor, P., Larsen, S.E., Rotach, M.W., & Fernando, H.J.S. (2011). The nature, theory, and modeling of atmospheric planetary boundary layers. Bulletin of the American Meteorological Society, 92(2), 123–128. https://doi.org/10.1175/2010BAMS2797.1
  7. Bengil, F., & Bizsel, K. (2014). Assessing the impact of aquaculture farms using remote sensing: An empirical neural network algorithm for Ildırı Bay, Turkey. Aquaculture Environment Interactions, 6(1), 67 79. https://doi.org/10.3354/aei00115
  8. Bengil, F., Mavruk, S., Kızılkaya, Z., Bengil, E.G.T., Alan, V., & Kızılkaya, I.T. (2021). Descriptive capability of datasets as proxy of sea water temperature in coastal systems: An evaluation from the Aegean Sea. Turkish Journal of Fisheries and Aquatic Sciences, 21, 627-635. http://doi.org/10.4194/1303-2712-v21_12_05

Ayrıntılar

Birincil Dil

Türkçe

Konular

Deniz Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

2 Eylül 2024

Yayımlanma Tarihi

15 Eylül 2024

Gönderilme Tarihi

20 Haziran 2024

Kabul Tarihi

31 Temmuz 2024

Yayımlandığı Sayı

Yıl 1970 Cilt: 41 Sayı: 3

Kaynak Göster

APA
Bengil, F., Mavruk, S., Polat, S., & Akbulut, G. (2024). İskenderun Körfezi kıyı alanlarında sıcaklık ve klorofil-a için uydu ve model temelli veri setlerinin temsil yeteneği üzerine bir değerlendirme. Ege Journal of Fisheries and Aquatic Sciences, 41(3), 220-225. https://doi.org/10.12714/egejfas.41.3.07

Cited By