Research Article

Investigation of Climate Change Impact on Salt Lake by Statistical Methods

Volume: 4 Number: 1 March 1, 2017
EN

Investigation of Climate Change Impact on Salt Lake by Statistical Methods

Abstract

The main purpose of this paper is to investigate climate change impact that have been occurred on Salt Lake located in the central Anatolia is one of the area that has been faced to extinction. In order to monitor current status of the Salt Lake, Landsat satellite images has been obtained between the year of 2000 and 2014 (for the months of February, May, August and November). Satellite images has been processed by using ArcGIS and ERDAS softwares and the water surface area has been determined. The time series of water surface areas has been analyzed with auto-correlation method and repeated pattern has been detected. The seasonal part of the time series which period is 1 year and causes about 400 km² fluctuations has been removed with Moving Average filter, successfully. As a result of filtration process, non-seasonal time series of water surface area of Salt Lake were obtained. It is understood from the non-seasonal time series that the water surface area showed variability between 2000 and 2010 and after 2010 it is stable until 2014. In order to explain the variability, meteorological data (precipitation and temperature) of the surrounding area has been acquired from the related service. The cross-correlation analyses has been performed with the movement of the water surface area and meteorological time series. As a result of analysis, the relationship between water surface changes in Salt Lake and meteorological data have correlated up to 80%. Consequently, several conclusion have been detected that the topography of the region play a direct role of the correlation coefficients and the water surface changes are effected from the environmental events that is occurred in the south of Salt Lake sub-Basin.

Keywords

References

  1. AAT.(2007): All About Turkey. Available at: http://www.allaboutturkey.com/tuzlake.htm, (Accessed 27.11.2014). Birkett, C.M. (2000): Synergistic remote sensing of Lake Chad: variability of basin inundation. Remote Sens Environ. 72: 218–236.
  2. Booth, E., Mount, J. and Viers, J. H. (2006): Hydrologic variability of the Cosumnes River floodplain. San Francisco Estuary and Watershed Science, 4(2):1-19.
  3. Du, Y., Cai, S., Zhang and X., Zhao, Y.(2001): Interpretation of the environmental change of Dongting Lake, middle reach of Yangtze River, China, by 210Pb measurement and satellite image analysis. Geomorphology. 41:171–181.
  4. Dube, O. (2001): Remote sensing, climate change and landuse impacts in semi-arid lands of Southern Africa. Geoscience and Remote Sensing Symposium, 2001. IGARSS apos;01. IEEE 2001 International. 6: 2686–2688.
  5. Dunn, P. F. (2014). Measurement and data analysis for engineering and science. CRC press.
  6. Gazioğlu C., Burak,S., Alpar, B., Türker, A. and Barut, IF. (2010): Foreseeable impacts of sea level rise on the southern coast of the Marmara Sea (Turkey), Water Policy.Vol.12(6): 932-943.
  7. Kantarci, M. D. (2005): Forest ecosystems knowledge, Istanbul University published book no: 4594. Forest Faculty published no: 488, Istanbul (in Turkish).
  8. Kiage, L.M., Liu, K.B., Walker, N.D., Lam, N. and Huh, O.K. (2007): Recent land-cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM+. Int J Remote Sens. 28(19),4285–4309.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Osman Orhan
Selçuk University, Engineering Faculty, Department of Geomatic Engineering
Türkiye

Sefa Yalvaç This is me
Selçuk University, Engineering Faculty, Department of Geomatic Engineering
Türkiye

Semih Ekercin
Aksaray University, Department of Geomatic Engineering
Türkiye

Publication Date

March 1, 2017

Submission Date

April 15, 2017

Acceptance Date

December 26, 2016

Published in Issue

Year 2017 Volume: 4 Number: 1

APA
Orhan, O., Yalvaç, S., & Ekercin, S. (2017). Investigation of Climate Change Impact on Salt Lake by Statistical Methods. International Journal of Environment and Geoinformatics, 4(1), 54-62. https://doi.org/10.30897/ijegeo.306493
AMA
1.Orhan O, Yalvaç S, Ekercin S. Investigation of Climate Change Impact on Salt Lake by Statistical Methods. IJEGEO. 2017;4(1):54-62. doi:10.30897/ijegeo.306493
Chicago
Orhan, Osman, Sefa Yalvaç, and Semih Ekercin. 2017. “Investigation of Climate Change Impact on Salt Lake by Statistical Methods”. International Journal of Environment and Geoinformatics 4 (1): 54-62. https://doi.org/10.30897/ijegeo.306493.
EndNote
Orhan O, Yalvaç S, Ekercin S (March 1, 2017) Investigation of Climate Change Impact on Salt Lake by Statistical Methods. International Journal of Environment and Geoinformatics 4 1 54–62.
IEEE
[1]O. Orhan, S. Yalvaç, and S. Ekercin, “Investigation of Climate Change Impact on Salt Lake by Statistical Methods”, IJEGEO, vol. 4, no. 1, pp. 54–62, Mar. 2017, doi: 10.30897/ijegeo.306493.
ISNAD
Orhan, Osman - Yalvaç, Sefa - Ekercin, Semih. “Investigation of Climate Change Impact on Salt Lake by Statistical Methods”. International Journal of Environment and Geoinformatics 4/1 (March 1, 2017): 54-62. https://doi.org/10.30897/ijegeo.306493.
JAMA
1.Orhan O, Yalvaç S, Ekercin S. Investigation of Climate Change Impact on Salt Lake by Statistical Methods. IJEGEO. 2017;4:54–62.
MLA
Orhan, Osman, et al. “Investigation of Climate Change Impact on Salt Lake by Statistical Methods”. International Journal of Environment and Geoinformatics, vol. 4, no. 1, Mar. 2017, pp. 54-62, doi:10.30897/ijegeo.306493.
Vancouver
1.Osman Orhan, Sefa Yalvaç, Semih Ekercin. Investigation of Climate Change Impact on Salt Lake by Statistical Methods. IJEGEO. 2017 Mar. 1;4(1):54-62. doi:10.30897/ijegeo.306493

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