GALA MİLLİ PARKI (KB TÜRKİYE) GÖLLERİNİN KIYI ÇİZGİSİ DEĞİŞİMLERİNİN ÇOKLU ZAMANSAL UYDU GÖRÜNTÜLERİ İLE DEĞERLENDİRİLMESİ

Yıl 2018, Cilt: 4 Sayı: 1, 12 - 29, 30.06.2018

Orhan Arkoç , Burak Özşahin

Öz

Gala Milli Parkı birçok kuş ve balık
türüne ev sahipliği yapan benzersiz bir sulak alandır. Parktaki doğal hayatın
sürdürülebilir olması için çevresel sorunların izlenmesi gerekmektedir. Kıyı
çizgisi değişimi, çevresel izlemenin önemli görevlerinden biridir. Jeoloji,
hidrojeoloji ve hidroloji, kıyı şeridi değişimini etkileyen önemli
faktörlerdir. Bu çalışma, Gala milli parkındaki Gala ve Pamuklu göllerinin kıyı
şeridi değişimini, 1977 ve 2011 yılları arasında edinilen Landsat MSS, Landsat
TM ve Landsat ETM + 'ın çoklu zamansal uydu görüntüleri ile belirlemeyi
amaçlamaktadır. Kıyı şeridinde ve her iki göldeki yüzey alanlarında meydana
gelen değişikliklerin nedenleri jeolojik, hidrojeolojik ve hidrolojik verilerle
araştırılmıştır. Araştırmalar her iki gölün kıyı şeridi değişimini kontrol eden
birincil faktörlerin yağış ve buharlaşma olduğunu göstermiştir. Gala ve Pamuklu
Gölü yüzey alanları 1977 ile 2011 yılları arasında sırasıyla 5.196 km²
ve 1.341 km² den 5.147 km² ve 1.295 km²'ye ortalama
% 2,2 değerinde azalmıştır.

Anahtar Kelimeler

Gala Milli Parkı, Kıyı şeridi değişimi, Uzaktan Algılama, hidroloji

ASSESSMENT OF COASTLINE CHANGE OF LAKES OF GALA NATIONAL PARK (NW TURKEY) WITH MULTI-TEMPORAL SATELLITE IMAGES

Öz

Gala
national park is a unique wetland and hosts different species of birds and
fish. For a sustainable natural life in the park, environmental issues should
be monitored. Coastline change is one of the important tasks of environmental
monitoring. Geology, hydrogeology and hydrology are the important factors that
affect coastline change. This study aims to determine the coastline change of
Gala and Pamuklu lakes in Gala national park with multi temporal satellite
images of Landsat MSS, Landsat TM and Landsat ETM+ which were acquired between
1977 and 2011. The reasons of the changes of the coastline and the surface
areas of both lakes has been investigated with geological, hydrogeological and
hydrological data. Research has shown that the primary factors controlling
coastline change of both lakes are precipitation and evaporation. The surface
areas of both Gala and Pamuklu Lake decreased from 5.196 km² and
1.341 km² to 5.147 km² and 1.295 km²,
respectively, between 1977 and 2011 with an average value of % 2.2.

Anahtar Kelimeler

Gala National Park, Coastline Change, Remote Sensing, Hydrology

Kaynakça

• Stocker, T.F., Qin, D.; Plattner G-K., Tignor, M.M.B., Allen, S.K,, Boschung, J., Nauels, A., Xia, Y., Bex, V., Midgle, P.M.(Eds.) Climate Change 2013: The physical science basis summary for policymakers; Cambridge University Press: Cambridge, UK, pp. 3-30, 2013.
• Pachauri RK, et al. (Eds.) (2014) Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Geneva, Switzerland, IPCC, 151 p., ISBN: 978-92-9169-143-2
• Li, X., Damen, M.C., Coastline change detection with satellite remote sensing for environmental management of the Pearl River Estuary. China. J Marine Syst., 82, 54-61, 2010. doi:10.1016/j.jmarsys.2010.02.005
• Alesheikh, A.A., Ghorbanali, A., Nouri, N., Coastline change detection using remote sensing. Int J Environ Sci Technol.,4 (1), 61–66, 2007. doi:10.1007/BF03325962
• Winarso, G., Budhiman, S. The potential application of remote sensing data for coastal study, Proc. 22 nd. Asian Conference on Remote Sensing, Singapore. C1, 87-91, 2001.
• Kuleli, T., Guneroglu, A., Karsli, F., Dihkan, M., Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Eng., 38(10), 1141-1149, 2014. doi: 10.1016/j.oceaneng.2011.05.006
• Ciavola, P., Mantovani, F., Simeoni, U., Tessari, U., Relation between river dynamics and coastal changes in Albania: an assessment integrating satellite imagery with historical data. Int J Remote Sens., 20 (3), 561–584,1999. doi: 10.1080/014311699213343
• Yang, X, Damen, M.C.J., Van Zuidam, R.A., Use of Thematic Mapper imagery with a geographic information system for geomorphologic mapping in a large deltaic lowland environment. Int J Remote Sens., 20 (4), 659–681, 1999. doi: 10.1080/014311699213127
• Maiti, S., Bhattacharya, A.K., Shoreline change analysis and its application to prediction: a remote sensing and statistics based approach. Marine Geo., 257 (1–4), 11–23, 2009. 10.1016/j.margeo.2008.10.006
• Genz, A.S., Fletcher, C.H., Dunn, R.A., Frazer, L.N., Rooney, J.J., The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui, Hawaii. J Coast Res., 23 (1), 87–105, 2007. doi: 10.2112/05-0521.1
• Durduran, S.S., Coastline change assessment on water reservoirs located in the Konya Basin Area, Turkey, using multitemporal landsat imagery. Environ Monit Assess., 164(1), 453-461, 2010. doi: 10.1007/s10661-009-0906-9
• Dasho, O.A., Ariyibi, E.A., Akinluyi, F.O., Awoyemi, M.O., Adebayo, A.S., Application of satellite remote sensing to groundwater potential modeling in Ejigbo area, Southwestern Nigeria. Model Earth Syst Environ., 1-19,2017. doi: 10.1007/s40808-017-0322-z
• Sener, E., Davraz, A., Sener, S.,Investigation of Aksehir and Eber Lakes (SW Turkey) coastline change with multitemporal satellite images. Water Resour Manage., 24(4), 727-745,2010. doi: 0.1007/s11269-009-9467-5
• Çamur-Elipek, B., Arslan, N., Kirgiz, T., Öterler, B., Güher, H., Özkan, N., Analysis of Benthic Macroinvertebrates in Relation to Environmental Variables of Lake Gala, a National Park of Turkey. Turk J Fish Aquat Sci. 10, 235-243, 2010. doi: 10.4194/trjfas.2010.0212
• Tokatlı, C., Köse, E., Uğurluoğlu, A., Çiçek, A., Emiroğlu, Ö., Gala Gölü (Edirne) Su Kalitesinin Coğrafi Bilgi Sistemi (CBS) Kullanılarak Değerlendirilmesi, Sigma.2014, 32, 490-501, 2014.
• Güher, H. A., Gala Gölü’nün (Edirne) Cladocera and Copepoda (Crustacea) türleri üzerine faunistik bir çalışma. Trak Univ J Nat Sci., 17(1), 1-5, 2016.
• USGS Center for Earth Resources Observation and Science (EROS). http://earthexplorer.usgs.gov (erişim tarihi 23 April 2017).
• Liang, S., Fang, H, Chen, M., Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods. IEEE Trans Geosci Remote Sens., 39(11), 2490-2498,2001. doi: 10.1109/36.964986
• Lu, D., Mausel, P., Brondizio, E., Moran, E., Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. Int J Remote Sens., 23(13), 2651-2671, 2002. doi: 10.1080/01431160110109642
• Tardy, B., Rivalland, V., Huc, M., Hagolle, O., Marcq, S., Boulet, G., A Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data. Remote Sens., 8(9), 696, 2016. doi: 10.3390/rs8090696
• Meteoroloji Genel Müdürlüğü Veri Temin Sistemi, http://tumas.mgm.gov.tr. (erişim tarihi: 1 May 2017).
• Senturk, K., Karaköse, C., 1/100 000 ölçekli Türkiye Jeoloji Haritaları, Çanakkale –D2 paftası, Maden Tetkik ve Arama Genel Müdürlüğü, Ankara, No:62, 7s, 1998.
• Van, T.T., Binh, T.T., Shoreline change detection to serve sustainable management of coastal zone in Cuu Long Estuary. International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, Hanoi, Vietnam, 2008, C1. (erişim: http://wgrass.media.osaka-cu.ac.jp/gisideas08 )
• Kelley, G.W., Hobgood, J.S., Bedford, K.W., Schwab, D.J., Generation of three dimensional lake model forecasts for Lake Erie. Weather Forecast, 13, 305–315, 1998.
• Sharifi, A., Dinpashoh, Y., Sensitivity analysis of the Penman-Monteith reference crop evapotranspiration to climatic variables in Iran. Water Resour Manage, 28(15), 5465-5476, 2014. doi: 10.1007/s11269-014-0813-x
• Blaney, H.F., Criddle, W.D., Determining water requirements in irrigated areas from climatological and irrigation data. USDA SCS-TP-96, U.S. Department of Agriculture, Washington. D.C, 3s, 1950.
• Hargreaves, G.H., Samani, Z.A., Reference crop evapotranspiration from temperature. Appl Eng in Agric.,1(2), 96-99, 1985.
• Allen, R.G., Perevia, L.S., Raes, D., Smith, M., Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56, Food and Agriculture Organization, Rome, Italy, 1998, 15 s.