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DOI :10.26650/JGEOG2025-1620561   IUP :10.26650/JGEOG2025-1620561    Tam Metin (PDF)

An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors

Onur YaylaHasan AkpınarTuğçe BilginYıldırım AtayeterOgün Korkmaz

This study quantifies shoreline changes in Lake Eğirdir between 1984 and 2024 by examining the direction, distance, and rate of change, along with climatic and anthropogenic influences. Landsat satellite images were used to delineate the lake's shoreline using the Modified Normalised Difference Water Index (MNDWI). Shoreline change rates were then calculated using the Digital Shoreline Analysis System (DSAS), employing metrics such as the End Point Rate (EPR), Linear Regression Rate (LRR), and Net Shoreline Movement (NSM). Results indicated the highest EPR value of 61,06 m/yr at transect 2035, while the highest LRR value was 39,78 m/yr. The NSM analysis revealed a maximum positive value of 2444,6 m, indicating significant recession in specific shoreline areas.

The key factors driving these changes include climate change and agricultural irrigation practices. MannKendall trend analysis demonstrated a rising trend in maximum temperatures, although precipitation levels showed no significant variation. The expansion of fruit orchards around Lake Eğirdir has intensified water demand, resulting in a marked decline in water levels. This study highlights the combined impact of climatic shifts and human activities on shoreline dynamics, highlighting the need for sustainable water management strategies to mitigate further environmental degradation. 

Anahtar Kelimeler: DSASShoreline changeEğirdir Lake

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Referanslar

  • Aksoy, T., Sarı, S., & Çabuk, A. (2019). Sulak alanların yönetimi kapsamında su indeksinin uzaktan algılama ile tespiti, Göller Yöresi. GSI Journals Serie B: Advancements in Business and Economics, 2(1). google scholar
  • Alevkayalı, Ç., Atayeter, Y., Yayla, O., Bilgin, T., & Akpınar, H. (2023). Burdur Gölü’nde uzun dönemli kıyı çizgisi değişimleri ve iklim ilişkisi: Zamansal-mekânsal eğilimler ve tahminler. Türk Coğrafya Dergisi, (82), 37-50. google scholar
  • Aslan and Koc-San (2021). Investigation of the changes in lake surface temperatures and areas: Case study of Burdur and Egirdir Lakes, Turkey. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 299-304. google scholar
  • Atayeter, Y. (2005). Aksu Çayı Havzası’nın Jeomorfolojisi. Fakülte Kitabevi. google scholar
  • Atayeter, Y. (2011). Eğirdir Gölü Depresyonu ve Yakın Çevresinin Genel Fiziki Coğrafyası. Fakülte Kitabevi. google scholar
  • Ayadi, K., Boutiba, M., Sabatier, F., & Guettouche, M. S. (2016). Detection and analysis of historical variations in the shoreline using digital aerial photos, satellite images, and topographic surveys DGPS: case of Bejaia Bay (East Algeria). Arabian Journal of Geosciences, 9, 1-12. google scholar
  • Aydin, FA, & Dogu, AF (2018). Level changes in lakes and their causes: Van Lake example. Journal of Yuzuncu Yil University Social Sciences Institute, (41), pp. 183-208. google scholar
  • Bahadır, M. (2013). Akşehir Gölü’nde Alansal Değişimlerin Uzaktan Algilama Teknikleri ile Belirlenmesi. Marmara Coğrafya Dergisi, (28), 246-275. google scholar
  • Baig, M. H. A.; Zhang, L.; Shuai, T.; Tong, Q. (2020). Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 11 (1), 66-75. https://doi.org/10.1080/2150704X.2020.1714329 google scholar
  • Baş, N. (2023). An effective approach for analysis of shoreline change and determination of its future location using satellite imagery: A case study of Lake Burdur, Turkey. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 14(1), 61-72. google scholar
  • Bozyiğit, R., and Tapur, T. (2009). Konya ovası ve çevresinde yeraltı sularının obruk oluşumlarına etkisi. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (21), 137-155. google scholar
  • Cengiz, T. M., & Kâhya, E. (2011). Türkiye göl su seviyelerinin eğilim ve harmonik analizi. İTÜDERGİSİ/d, 5(3). google scholar
  • Coşkun, S. (2024). Göller Yöresi’nde sıcaklık, yağış ve akım değerlerinde meydana gelen eğilimler (Akdeniz Bölgesi-Türkiye). Socıal Scıences Studıes Journal (SSSJournal), 6(66), 3142-3155. google scholar
  • Çankal, G., & Alkın, R. C. (2024). İklim Değişikliği, Bilinçsiz Tarım ve Afet Yönetimi: Karapınar Obruklarına Bir Bakış. Afet ve Risk Dergisi, 7(2), 410-425. google scholar
  • Demir, İ., Kılıç, G., Coşkun, M., & Sümer, U. M. (2008). Türkiye’de maksimum, minimum ve ortalama hava sıcaklıkları ile yağış dizilerinde gözlenen değişiklikler ve eğilimler. TMMOB İklim Değişimi Sempozyumu, Bildiriler Kitabı, 69, 84. google scholar
  • Dereli, M. A., & Tercan, E. (2020). Assessing shoreline changes using historical satellite images and geospatial analysis along the Lake Salda in Turkey. Earth science informatics, 13(3), 709-718. google scholar
  • Dereli, M. A., & Tercan, E. (2020). Assessment of shoreline changes using historical satellite images and geospatial analysis along the Lake Salda in Turkey. Earth Sci Inform. 2013; 13(3): 709-718. google scholar
  • Dolan, R., Fenster, M. S., & Holme, S. J. (1991). Temporal analysis of shoreline recession and accretion. Journal of coastal research, 723-744. google scholar
  • Dönmez, S. (2018). Akşehir Gölü su seviyesinin çekilmesinin meteorolojik ve uydu verileri ile incelenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 33(1). google scholar
  • Dwyer, J. L., D. P. Roy, B. Sauer, C. B. Jenkerson, H. K. Zhang, and L. Lymburner (2018). Analysis of ready data: Enabling Landsat archive analysis. Remote Sensing, 10(9), 1363. https://doi.org/10.3390/rs10091405 google scholar
  • Esper, J., Torbenson, M., & Büntgen, U. (2024). 2023 summer warmth unparalleled over the past 2,000 years. Nature, 1-2. google scholar
  • European Centre for Medium-Range Weather Forecasts. (2024). Climate change services: Annual climate report 2024. Copernicus Climate Change Service. Retrieved from https://climate.copernicus.eu/annual-climate-report-2024. google scholar
  • Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall trend test for autocorrelate data. Journal of Hydrology, 204(1-4), 182-196. https://doi.org/10.1016/S0022-1694 (97)00125-X,)[https://doi.org/10.1016/S0022-1694(97)00125-X]; google scholar
  • Himmelstoss, E. A., Henderson, R. E., Kratzmann, M. G., & Farris, A. S. (2021). Digital Shoreline Analysis System (DSAS), Version 5.1 User Guide (No. 2021-1053). U.S. Geological Survey. https://doi.org/10.3133/ofr20211053 google scholar
  • Hwang, C. S., Choi, C. U., & Choi, J. S. (2014). Shoreline changes interpreted from multi-temporal aerial photographs and high resolution satellite images. A case study in Jinha beach. Korean Journal of Remote Sensing, 30(5), 607-616. google scholar
  • Karmeshu, N. (2012). Trend detection in annual temperature & precipitation using the Mann-Kendall test-a case study to assess climate change on select States in the northeastern United States. Master of Environmental Studies Capstone Projects, 47, 1-33. google scholar
  • Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation. John Wiley & Sons. google scholar
  • Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823-870. google scholar
  • Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245-259. https://doi.org/10.2307/1907187 google scholar
  • McFeeters, S. K. (1996). Use of the normalised difference water index (NDWI) for delineating open water features. International Journal of Remote Sensing, 17(7), 1425-1432. google scholar
  • Mishra, R., Gupta, R. D., & Vishwakarma, A. K. (2019). Change detection analysis of coastlines using multi-temporal satellite images. Applied Geography, 102, 74-81. https://doi.Org/10.1016/i.apgeog.2018.11.010 google scholar
  • Moore, L. J. (2000). Shoreline mapping techniques. Journal of Coastal Research, 16(1), 111-124. https://doi.org/10.1006/ecss.1999.0587 google scholar
  • Moustafa, A. A., Elganainy, R. A., and Mansour, S. R. (2023). Insights into the UNSG announcement: The end of climate change and the arrival of the global boiling era, July 2023 confirmed as the hottest month recorded in the past 120,000 years. Catrina: The International Journal of Environmental Sciences, 28(1), 43-51. google scholar
  • Nassar, K., Mahmod, W. E., Fath, H., Masria, A., Nadaoka, K., & Negm, A. (2019). Shoreline change detection using DSAS technique: Case of North Sinai coast, Egypt. Marine Georesources and Geotechnology, 37(1), 81-95. google scholar
  • Onoz, B., and Bayazit, M. (2003). The power of statistical tests for trend detection. Turkish Journal of Engineering & Environmental Sciences, 27(4). google scholar
  • Richards, J. A. (2013). Remote sensing digital image analysis: An introduction. Springer. google scholar
  • Sabins, F. F. (1997). Remote sensing: Principles and interpretation. W. H. Freeman & Company. google scholar
  • Sarp, G., & Özcelik, M. (2017). Water body extraction and change detection using time series data: A case study of Lake Burdur, Turkey. Journal of Taibah University for Science, 11(3), 381-391. google scholar
  • Selçuk Biricik, A. S. (2014). Türkiye Sular Atlası. Oray Basım Yayın ve Matbaacılık. google scholar
  • Sipahi, M. H. (1987). Aksu Çayı Havzası’nın (Antalya) Karst’ı ve Hidrojeolojisi. [Doktora tezi, İstanbul Üniversitesi]. google scholar
  • Şen, C. (2013). Isparta İlinde Sıcaklık ve Yağış Verilerinin Trend Analizi, [Yüksek lisans tezi, Süleyman Demirel Üniversitesi]. YÖK Tez Merkezi. google scholar
  • Taberi, H., Marofi, S., Aeini, A., Talaee, P.H., Mohammadi, K., 2011. Trend Analysis of Reference Evapotranspiration in the Western half of Iran. Agricultural and Forest Meteorology 151, 128-136. google scholar
  • Tapur, T., & Bozyiğit, R. (2015). Konya Ilinde Güncel Obruk Oluşumlari. Marmara Coğrafya Dergisi, (31), 415-446. google scholar
  • Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., and Miller, T. L. (2005). Digital shoreline analysis system (DSAS) version 3.0. An ArcGIS© extension for calculating shoreline change: US Geological Survey Open-File Report, 1304. google scholar
  • Thieler, E. R., Mart’in, D., & Ergul, A. (2003). Digital Shoreline Analysis System (DSAS) version 2.0: An ArcView extension for calculating shoreline change (No. 2003-76). US Geological Survey. google scholar
  • Thieler, E. R., J. F. O’Connell, and C. A. (2009). The Digital Shoreline Analysis System (DSAS) version 4.0-An ArcGIS extension for calculating shoreline change (No. 2008-1278). U.S. Geological Survey. https://doi.org/10.3133/ofr20081078 google scholar
  • Turoğlu, H. (2017). Deniz ve Göllerde Kıyı. (Editörler: H. Turoğlu ve H. Yiğitbaşıoğlu), and Yasal ve Bilimsel Boyutlarıyla KIYI. Jeomorfoloji Derneği Yayınları, (1), 1-32, google scholar
  • Uzun, M. (2024). Analysis of Manyas Lake Surface Area and Shoreline Changes over Various Periods with DSAS Tool. Turkish Journal of Remote Sensing, 6 (1), 35-56 google scholar
  • Woodcock, C. E., Allen, R. G., & Anderson, M. C. (2008). Landsat 5 TM and Landsat 7 ETM+ data for land surface monitoring. Remote Sensing of Environment, 112(1), 215-219. https://doi.Org/10.1016/i.rse.2008.03.010 google scholar
  • World Meteorological Organisation. (2024). United in Science 2024: A multi-organisation high-level compilation of the latest weather, climate, water, and related environmental and social sciences for the future. World Meteorological Organisation. https://library.wmo.int/idurl/4/69018 google scholar
  • Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open-water features in remotely sensed imagery. International Journal of Remote Sensing, 27(14), pp. 3025-3033. google scholar
  • Y arar, A., & Onüçyıldız, M. (2009). Yapay sinir ağları ile Beyşehir Gölü su seviyesi değişimlerinin belirlenmesi. Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi, 24(2), 21-30. google scholar
  • Y ılmaz, M. (2010). Karapınar çevresinde yeraltı suyu seviye değişimlerinin yaratmış olduğu çevre sorunları. Ankara Üniversitesi Çevrebilimleri Dergisi, 2(2), 145-163. google scholar
  • Y igit, A. Y., Senol, H. I., & Kaya, Y. (2022). Çok zamanlı multispektral uydu verilerinin Marmara Gölü kıyı değişimi analizinde kullanılması. Geomatik, 7(3), 253-260. google scholar
  • Y ue, S., Pilon, P., & Cavadias, G. (2002). Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series. Journal of hydrology, 259(1-4), 254-271. google scholar
  • Z heng, F., Hu, S., Ma, J., Wang, L., Li, K., Wu B, et al. & Zhu, J. (2024). The world will encounter the warmest winter in 2023. google scholar

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APA

Yayla, O., Akpınar, H., Bilgin, T., Atayeter, Y., & Korkmaz, O. (2025). An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors. Coğrafya Dergisi, 0(50), 65-78. https://doi.org/10.26650/JGEOG2025-1620561


AMA

Yayla O, Akpınar H, Bilgin T, Atayeter Y, Korkmaz O. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors. Coğrafya Dergisi. 2025;0(50):65-78. https://doi.org/10.26650/JGEOG2025-1620561


ABNT

Yayla, O.; Akpınar, H.; Bilgin, T.; Atayeter, Y.; Korkmaz, O. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors. Coğrafya Dergisi, [Publisher Location], v. 0, n. 50, p. 65-78, 2025.


Chicago: Author-Date Style

Yayla, Onur, and Hasan Akpınar and Tuğçe Bilgin and Yıldırım Atayeter and Ogün Korkmaz. 2025. “An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors.” Coğrafya Dergisi 0, no. 50: 65-78. https://doi.org/10.26650/JGEOG2025-1620561


Chicago: Humanities Style

Yayla, Onur, and Hasan Akpınar and Tuğçe Bilgin and Yıldırım Atayeter and Ogün Korkmaz. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors.” Coğrafya Dergisi 0, no. 50 (Aug. 2025): 65-78. https://doi.org/10.26650/JGEOG2025-1620561


Harvard: Australian Style

Yayla, O & Akpınar, H & Bilgin, T & Atayeter, Y & Korkmaz, O 2025, 'An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors', Coğrafya Dergisi, vol. 0, no. 50, pp. 65-78, viewed 29 Aug. 2025, https://doi.org/10.26650/JGEOG2025-1620561


Harvard: Author-Date Style

Yayla, O. and Akpınar, H. and Bilgin, T. and Atayeter, Y. and Korkmaz, O. (2025) ‘An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors’, Coğrafya Dergisi, 0(50), pp. 65-78. https://doi.org/10.26650/JGEOG2025-1620561 (29 Aug. 2025).


MLA

Yayla, Onur, and Hasan Akpınar and Tuğçe Bilgin and Yıldırım Atayeter and Ogün Korkmaz. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors.” Coğrafya Dergisi, vol. 0, no. 50, 2025, pp. 65-78. [Database Container], https://doi.org/10.26650/JGEOG2025-1620561


Vancouver

Yayla O, Akpınar H, Bilgin T, Atayeter Y, Korkmaz O. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors. Coğrafya Dergisi [Internet]. 29 Aug. 2025 [cited 29 Aug. 2025];0(50):65-78. Available from: https://doi.org/10.26650/JGEOG2025-1620561 doi: 10.26650/JGEOG2025-1620561


ISNAD

Yayla, Onur - Akpınar, Hasan - Bilgin, Tuğçe - Atayeter, Yıldırım - Korkmaz, Ogün. An evaluation of the long-term changes in the shoreline of Lake Eğirdir in relation to climate and anthropogenic factors”. Coğrafya Dergisi 0/50 (Aug. 2025): 65-78. https://doi.org/10.26650/JGEOG2025-1620561



ZAMAN ÇİZELGESİ


Gönderim15.01.2025
Kabul26.03.2025
Çevrimiçi Yayınlanma24.07.2025

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