Investigation of Climate Change Impact on Meteorological Data and Floods: A Case of Karacam, Turkey
Journal of Water Resources and Ocean Science
Volume 9, Issue 6, December 2020, Pages: 123-128
Received: Nov. 2, 2020;
Accepted: Nov. 13, 2020;
Published: Nov. 27, 2020
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Gokmen Ceribasi, Department of Civil Engineering, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya, Turkey
Ahmet Iyad Ceyhunlu, Department of Civil Engineering, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya, Turkey
Turkey is among countries under influence of climate change as a result of global warming. These changes in climate cause large imbalances in temperature degrees and precipitation levels. While these imbalances in precipitation regimes cause drought in some regions, they cause sudden and severe precipitation in some regions. Therefore, in this study, effect of climate change on meteorological data and floods in Karacam region of Sakarya province was investigated. Meteorological data of the region used in this study was taken from General Directorate of Meteorology (DMI). Meteorological data are taken daily from station 17069 (10.01.2014 - 09.30.2019). Innovative Trend Analysis was used in analysis of meteorological data, and 2-dimensional flood propagation maps were obtained by using Hec-RAS software in flood analysis. As a result of analysis made, it was observed that climate change resulting from global warming has an impact on the meteorological data of Karacam region in Turkey, which is the study area. Because, it is observed that there is a generally downward trend in precipitation data, a generally increasing trend in temperature data and a decreasing trend in moisture data. Thus, impact of climate change can be clearly seen. Therefore, impact of this climate change shows not only an increase in temperatures and a decrease in precipitation, but also an increase in daily sudden and severe rains. For this reason, flood inundation maps of study area were created. Hec-RAS software was used to create flood propagation maps. As a result of these maps, it is seen that remain in floodplain of high-speed train line, agricultural lands and some of residential areas. Flood spreading maps of region have been created for sudden precipitation that may occur as a result of climate change and it has been observed that agricultural lands, residential areas and factories can be affected by this flood.
Ahmet Iyad Ceyhunlu,
Investigation of Climate Change Impact on Meteorological Data and Floods: A Case of Karacam, Turkey, Journal of Water Resources and Ocean Science.
Vol. 9, No. 6,
2020, pp. 123-128.
Mason, D. C., Guy, J. and Schumann, P. (2010). Flood Detection in Urban Areas Using Terrasar-X, IEEE T. Geoscience Remote, 48, 882–894.
Rozalis, S., Morin, E., Yair, Y. and Price, C., (2010). Flash Flood Prediction Using an Uncalibrated Hydrological Model and Radar Rainfall Data in A Mediterranean Watershed Under Changing Hydrological Conditions, Journal of Hydrology, 394, 245–255.
Sowmya, K., John, C. M. and Shrivasthava, N. K. (2015). Urban Flood Vulnerability Zoning of Cochin City, Southwest Coast of India, Using Remote Sensing and GIS, Natural Hazards, 75, 1271–1286.
Akkaya, U. (2016). 2-Dimensional Flood Modelling of Maritza and Tundja Rivers at The Part of Edirne City Center: Sakarya University., Institute of Science, Published PhD Thesis, Sakarya.
Akkaya U. And Dogan E. (2016). Generation of 2D Flood Inundation Maps of Meric and Tunca Rivers Passing Through Edirne City Center, Geofizika, 33 (1), 15–34.
Dogan, E., Ceribasi, G., and Akkaya, U. (2016). Investigation for Effecting of Dam to River Flow Regime by Trend Analysis Method, Case Study of Sakarya River. Karaelmas Science and Engineering Journal. 6 (1), 50–55.
Chuan, R. J. Y. (2006). An Empirical Analysis of Agricultural Products’ Competitiveness and Complementarities Between China and ASEAN Countries. Journal of International Trade, 8.
Gutry-Korycka, M., Magnuszewski, A., Suchozebrski, J., Jaworski, W., Marcinkowski, M., and Szydlowski, M. (2006). Numerical Estimation of Flood Zones in The Vistula River Valley, Warsaw, Poland, 308, 191.
Horritt, M. S. and Bates P. D. (2002). Evaluation of 1d and 2d Numerical Models for Predicting River Flood Inundation, Journal of Hydrology, 268, 87–99.
Huthoff, F., Remo, J. W. F. and Pinter, N. (2015). Improving Flood Preparedness Using Hydrodynamic Levee-Breach and Inundation Modelling: Middle Mississippi River, Usa, Journal of Flood Risk Management, 8, 2–18.
Djokić, S. S., Conway, B. E., and Belliveau, T. F. (1994). Specificity of Anodic Processes in Cyclic Voltammetry to The Type of Carbon Used in Electrolysis of Cryolite-Alumina Melts. Journal of Applied Electrochemistry, 24 (9), 827–834.
Correia, A., and Šafanda, J. (1999). Preliminary Ground Surface Temperature History in Mainland Portugal Reconstructed from Borehole Temperature Logs. Tectonophysics, 306 (34), 269–275.
Mclin, S. G., Springer, E. P., and Lane, L. J. (2001). Predicting Floodplain Boundary Changes Following The Cerro Grande Wildfire. Hydrological Processes, 15 (15), 2967–2980.
Aggett, G. R., and Wilson, J. P. (2009). Creating and Coupling A High-Resolution DTM with A 1-D Hydraulic Model in A GIS for Scenario-Based Assessment of Avulsion Hazard in A Gravel-Bed River. Geomorphology, 113 (1-2), 21–34.
Cook, A. and Merwade, V. (2009). Effect of Topographic Data, Geometric Configuration and Modeling Approach on Flood Inundation Mapping, Journal of Hydrology, 377, 131–142.
Vojinovic, Z. and Tutulic, D. (2009). On The Use of 1D and Coupled 1D-2D Modelling Approaches for Assessment of Flood Damage in Urban Areas. Urban Water Journal, 6 (3), 183–199.
Amini, J. (2010). A Method for Producing Flood Maps Using IKONOS Images and Dems. International Journal of Remote Sensing, 31 (9), 2441–2456.
Gumrukcuoglu, M., Goodin, D. G., and Martin, C. (2010). Landuse Change in Upper Kansas River Floodplain: Following The 1993 Flood. Natural Hazards, 55 (2), 467–479.
Hung, N. N., Delgado, J. M., Tri, V. K., Hung, L. M., Merz, B., Bárdossy, A., and Apel, H. (2012). Floodplain Hydrology of The Mekong Delta, Vietnam. Hydrological Processes, 26 (5), 674–686.
Hajibayov, F., Ozkul, B. D., and Terzi, F. (2017). Floodplain Modeling and Mapping Using The Geographical Information Systems (GIS) And Hec-RAS/Hec-Georas Applications. Case of Edirne, Turkey. GISRUK.
Meteorological Datas of State Meteorology Affairs (DMI). (2019). Rainfall, Temperature and Moisture Datas.
Directorate of Reconstruction and Urban Planning (DRUP). (2019). Topographic Maps.
General Directorate of State Hydraulic Works (DSI). (2019). Streamflow Datas.
Kisi, O., Santos C. A. G., da Silva, R. M and Zounemat-Kermani, M. (2018). Trend Analysis of Monthly Streamflows Using Sen’s Innovative Trend Method, Geofizika, 35 (1), 53–68.
Sen, Z. (2012). Innovative Trend Analysis Methodology. Journal of Hydrological Engineering, 17 (9), 1042–1046.
Sen, Z. (2013). Trend Identification Simulation and Application. Journal of Hydrological Engineering, 19 (3), 635–642.
Ceribasi, G. and Dogan, E. (2015). Evaluation of Streamflow of West and East Black Sea and Sakarya Basin by Using Trend Analysis Method. Suleyman Demirel University International Technologic Science, 7 (2), 1–12.
Ceribasi, G. and Dogan, E. (2016). Application of Trend Analysis Method on Rainfall-Stream Flow-Suspended Load Data of West and East Black Sea Basins and Sakarya Basin, Fresenius Environmental Bulletin, 25, 300–306.
Ceribasi, G. (2019). Analyzing Rainfall Data’s of Eastern Black Sea Basin by Using Sen Method and Trend Methods. Journal of The Institute of Science and Technology, 9 (1), 254–264.
Samandar, A., Genc, O. (2016). Creating Floodplain Maps Based on The Geographic Information Systems in Duzce Buyuk Melen Stream, Journal of Advanced Technology Sciences, 5 (2), 184–189.