YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU

Arif Öz; Muhammet Ömer Diş

TR EN

YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU

Öz

Nüfus artışı, kentleşme ve iklim değişikliği gibi faktörlerin su kaynakları üzerindeki baskısı, sürdürülebilir havza yönetimini giderek daha kritik hale getirmektedir. Bu çalışmada, Ceyhan Havzası genelinde farklı mekânsal çözünürlüklere sahip Arazi Kullanımı/Arazi Örtüsü (AKAÖ) verileri kullanılarak, Soil Conservation Service-Curve Number (SCS-CN) tekniği ile yağış-akış katsayısının mekânsal dağılım üzerindeki etkisi araştırılmıştır. Analizde 100 m mekânsal çözünürlüğe sahip CORINE ile 10, 20 ve 60 m mekânsal çözünürlüğe sahip SENTINEL verileri kullanılmıştır. Sonuç olarak, havza genelinde analiz edilen iki farklı veri seti için CN değerlerinin ortalamalarının birbirine yakın olduğu belirlenmiştir (CORINE: 74,75; SENTINEL: 73,00). Ancak mekânsal çözünürlüğün artmasıyla birlikte CN değerlerinin mekânsal dağılımında önemli farklılıkların ortaya çıktığı tespit edilmiştir. CORINE veri setinden elde edilen bulgular, SENTINEL veri setine kıyasla daha yüksek CN değerleri ortaya koymuştur. Ayrıca, elde edilen sonuçlar, kentleşmedeki ivmenin yüzeysel akış potansiyelini artırırken, havzadaki tarım ve orman arazilerinde bu potansiyelin azaldığını ortaya koymaktadır. Bulgular, güncel arazi kullanım haritalarının kullanımının ve bu verilerdeki mekânsal çözünürlük farklılıklarının hidrolojik modelleme ve potansiyel kuraklık/taşkın gibi ekstrem süreçlerin tahmininde dikkate alınmasının önemini vurgulamaktadır.

Anahtar Kelimeler

THE ROLE OF LAND USE IN RAINFALL-RUNOFF DYNAMICS: INTEGRATION OF SENTINEL AND CORINE DATA

Öz

The pressure on water resources from population growth, urbanization, and climate change makes sustainable watershed management increasingly critical. This study examined the spatial distribution of the rainfall-runoff coefficient across the Ceyhan Basin using the Soil Conservation Service-Curve Number (SCS-CN) method and Land Use/Land Cover (LULC) data at varying spatial resolutions. Over the past century, urbanization, population growth, climate change, and the conversion of forested areas to agricultural land have collectively increased global water demand. This trend has further emphasized the importance of sustainable water resource management and conservation efforts. In this context, the impact of LULC data with different spatial resolutions on the spatial distribution of the runoff coefficient was investigated in the Ceyhan Basin using the SCS-CN method. The analysis used CORINE data at 100 m and SENTINEL data at 10 m, 20 m, and 60 m. The findings indicate that the average CN values obtained from the two datasets analyzed across the basin were relatively similar (CORINE: 74.75; SENTINEL: 73.00). However, significant differences in the spatial distribution of CN values were observed as spatial resolution increased. The results from the CORINE dataset showed higher CN values than those from the SENTINEL dataset. Furthermore, the findings reveal that while urban expansion increases the potential for surface runoff, this potential decreases in agricultural and forested areas within the basin. These results underscore the importance of using up-to-date land use maps and accounting for spatial resolution differences in hydrological modeling and the prediction of extreme events, such as potential droughts and floods.

Anahtar Kelimeler

Kaynakça

Aksoy, H. (2020). Surface water. In N. Harmancioglu & D. Altinbilek (Eds.), Water resources of Turkey (Vol. 2, pp. 127–158). Springer. https://doi.org/10.1007/978-3-030-11729-0_5
Avcı, P., & Ercanoglu, M. (2024). Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye). Environmental Earth Sciences, 83(7), Article 192. https://doi.org/10.1007/s12665-024-11487-4
Bras, R. L., & Perkins, F. E. (1975). Effects of urbanization on catchment response. Journal of the Hydraulics Division, 101(3), 451–466. https://doi.org/10.1061/JYCEAJ.0004230
Burgan, H. I., & Aksoy, H. (2022). Daily flow duration curve model for ungauged intermittent subbasins of gauged rivers. Journal of Hydrology, 604. https://doi.org/10.1016/j.jhydrol.2021.127249
Chadli, K., Kirat, M., Laadoua, A., & El Harchaoui, N. (2016). Runoff modeling of Sebou watershed (Morocco) using SCS curve number method and geographic information system. Modeling Earth Systems and Environment, 2(3). https://doi.org/10.1007/s40808-016-0215-6
Choudhary, K., Boori, M. S., & Kupriyanov, A. (2018). Spatial modelling for natural and environmental vulnerability through remote sensing and GIS in Astrakhan, Russia. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 139–147. https://doi.org/10.1016/j.ejrs.2017.05.003
Chughtai, A. H., Abbasi, H., & Karas, I. R. (2021). A review on change detection method and accuracy assessment for land use land cover. Remote Sensing Applications: Society and Environment, 22. https://doi.org/10.1016/j.rsase.2021.100482
Çubuk, M. H., & Diş, M. Ö. (2022). SCS-CN metodolojisi için havza morfolojik haritalarının geliştirilmesi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 25(2), 57–70. https://doi.org/10.17780/ksujes.1073949

De Ridder, N. A., & Boonstra, J. (1994). Analysis of water balances. In Drainage principles and applications (2nd ed., pp. 601–633). International Institute for Land Reclamation and Improvement (ILRI).
Dewan, A. M., & Yamaguchi, Y. (2009). Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960–2005. Environmental Monitoring and Assessment, 150, 237–249. https://doi.org/10.1007/s10661-008-0226-5
Dis, M. O., Anagnostou, E., Zac, F., Vergara, H., & Hong, Y. (2015). Evaluating multi-scale flow predictions for the Connecticut River Basin. Journal of Waste Water Treatment & Analysis, 6(2). https://doi.org/10.4172/2157-7587.1000208
Dizdar, M. Y. (1984). Küçük havzalarda yüzey akış eğri numarasının tayini (No. 749). Topraksu Genel Müdürlüğü Yayınları. https://kutuphane.tarimorman.gov.tr/vufind/Record/1227344
Elagca, A., & Diş, M. Ö. (2022). Application of Arc-GIS, HEC-GeoHMS and HEC-HMS in a holistic sense for estimation of rainfall-runoff process: Case study over Ballikaya Basin. Acta Scientiarum. Technology, 44(1). https://doi.org/10.4025/actascitechnol.v44i1.58360
Fohrer, N., Haverkamp, S., & Frede, H.-G. (2005). Assessment of the effects of land use patterns on hydrologic landscape functions: Development of sustainable land use concepts for low mountain range areas. Hydrological Processes, 19(3), 659–672. https://doi.org/10.1002/hyp.5623
Hawkins, R. H. (1993). Asymptotic determination of runoff curve numbers from data. Journal of Irrigation and Drainage Engineering, 119(2), 334–345. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:2(334
Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005
Jenicek, M. (2007, September 24–26). Effects of land cover on runoff process using SCS CN method in the upper Chomutovka catchment [Paper presentation]. WaReLa Scientific Conference on Integrated Catchment Management for Hazard Mitigation, Trier, Germany.
Karakaya, D., Ozturk, B., & Elçi, S. (2024). Hydrokinetic power potential assessment of the Çoruh River Basin. Energy for Sustainable Development, 82. https://doi.org/10.1016/j.esd.2024.101533
Kim, Y., & Schmidt, P. (2000). A review and empirical comparison of Bayesian and classical approaches to inference on efficiency levels in stochastic frontier models with panel data. Journal of Productivity Analysis, 14(2), 91–118. https://doi.org/10.1023/A:1007801006988
Knebl, M. R., Yang, Z.-L., Hutchison, K., & Maidment, D. R. (2005). Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: A case study for the San Antonio River Basin Summer 2002 storm event. Journal of Environmental Management, 75(4), 325–336. https://doi.org/10.1016/j.jenvman.2004.11.024
Locatelli, L., Mark, O., Mikkelsen, P. S., Arnbjerg-Nielsen, K., Deletic, A., Roldin, M., & Binning, P. J. (2017). Hydrologic impact of urbanization with extensive stormwater infiltration. Journal of Hydrology, 544, 524–537. https://doi.org/10.1016/j.jhydrol.2016.11.030
Macarringue, L. S., Bolfe, É. L., & Pereira, P. R. M. (2022). Developments in land use and land cover classification techniques in remote sensing: A review. Journal of Geographic Information System, 14(1), 1–28. https://doi.org/10.4236/jgis.2022.141001
Mesta, B., Kargı, P. G., Tezyapar, İ., Ayvaz, M. T., Göktaş, R. K., Kentel, E., & Tezel, U. (2019). Determination of rainfall–runoff relationship in Yenicegoruce Basin with HEC-HMS hydrologic model. Pamukkale University Journal of Engineering Sciences, 25(8), 949–955. https://doi.org/10.5505/pajes.2019.75133
Mishra, S. K., & Singh, V. P. (2003). Soil Conservation Service curve number (SCS-CN) methodology. Springer. Myung, I. J. (2003). Tutorial on maximum likelihood estimation. Journal of Mathematical Psychology, 47(1), 90–100. https://doi.org/10.1016/S0022-2496(02)00028-7
Nickman, A., Lyon, S. W., Jansson, P.-E., & Olofsson, B. (2016). Simulating the impact of roads on hydrological responses: Examples from Swedish terrain. Hydrology Research, 47(4), 767–781. https://doi.org/10.2166/nh.2016.030
Niyazi, B. A., Masoud, M. H., Ahmed, M., Basahi, J. M., & Rashed, M. A. (2020). Runoff assessment and modeling in arid regions by integration of watershed and hydrologic models with GIS techniques. Journal of African Earth Sciences, 172, Article 103966. https://doi.org/10.1016/j.jafrearsci.2020.103966
Onchevski, O., & Mihara, M. (2021). Rainwater harvesting as a mean for water conservation in Ovche Pole Region, Macedonia. International Journal of Environmental and Rural Development, 12(1), 95–106.
Oz, A., & Dis, M. O. (2024). Effect of land use/land cover maps on CN method: Case study over Kahramanmaras. Acta Scientiarum. Technology, 46(1). https://doi.org/10.4025/actascitechnol.v46i1.66835
Özben, O. M., & Güngör, M. (2024). Determination of suitable sites for rainwater harvesting in Denizli Serinhisar district watershed. Pamukkale University Journal of Engineering Sciences, 30(5), 668–678. https://doi.org/10.5505/pajes.2023.85616
Özdemir, K., & Diş, M. Ö. (2022). Acquisition of Afrin Bridge Basin characteristics and curve number methodology via GIS. Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi, 9(16). https://doi.org/10.54365/adyumbd.943684
Peijun, S., Yi, Y., & Sinica, C. J. (2001). The effect of land use on runoff in Shenzhen City of China. Acta Ecologica Sinica, 21(7), 1041–1049.
Phiri, D., Simwanda, M., Salekin, S., Nyirenda, V. R., Murayama, Y., & Ranagalage, M. (2020). Sentinel-2 data for land cover/use mapping: A review. Remote Sensing, 12(14). https://doi.org/10.3390/rs12142291
Robert, C. P. (2007). The Bayesian choice: From decision-theoretic foundations to computational implementation (2nd ed.). Springer.
Sahu, M. K., Shwetha, H. R., & Dwarakish, G. S. (2023). State-of-the-art hydrological models and application of the HEC-HMS model: A review. Modeling Earth Systems and Environment, 9(3), 3029–3051. https://doi.org/10.1007/s40808-023-01704-7
Sarıgül, O., & Turoğlu, H. (2020). Kahramanmaraş şehri sel ve taşkınlarının coğrafi analizi ve öngörüler. Coğrafya Dergisi, (40), 275–293. https://doi.org/10.26650/JGEOG2020-0018
Seber, G. A. F., & Lee, A. J. (2012). Linear regression analysis (2nd ed.). John Wiley & Sons.
Shakarneh, M. O. A., Khan, A. J., Mahmood, Q., Khan, R., Shahzad, M., & Tahir, A. A. (2022). Modeling of rainfall–runoff events using HEC-HMS model in southern catchments of Jerusalem Desert-Palestine. Arabian Journal of Geosciences, 15(1), Article 127. https://doi.org/10.1007/s12517-021-09406-z
Soil Conservation Service. (1964). National engineering handbook (Supplement A, Section 4, Chapter 10). U.S. Department of Agriculture.
Soil Conservation Service. (1986). Urban hydrology for small watersheds (Technical Release 55). U.S. Department of Agriculture.
Soulis, K. X., & Valiantzas, J. D. (2012). SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds – the two-CN system approach. Hydrology and Earth System Sciences, 16(4), 1001–1015. https://doi.org/10.5194/hess-16-1001-2012
Stewart, D., Canfield, E., & Hawkins, R. (2012). Curve number determination methods and uncertainty in hydrologic soil groups from semiarid watershed data. Journal of Hydrologic Engineering, 17(11), 1180–1187. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000452
Stonestrom, D. A., Scanlon, B. R., & Zhang, L. (2009). Introduction to special section on impacts of land use change on water resources. Water Resources Research, 45(7). https://doi.org/10.1029/2009WR007937
Strapazan, C., Haidu, I., & Kocsis, I. (2019). Assessing land use/land cover change and its impact on surface runoff in the southern part of the Țibleș and Rodnei Mountains. In Air and Water – Components of the Environment Conference Proceedings (Cluj-Napoca, Romania). https://doi.org/10.24193/AWC2019_23
Su Yönetimi Genel Müdürlüğü. (2016). İklim değişikliğinin su kaynaklarına etkisi projesi, proje nihai raporu, ek-22: Ceyhan havzası.
Su Yönetimi Genel Müdürlüğü. (2018). Ceyhan havzası taşkın yönetim planı.
Tang, J., Liu, D., Shang, C., & Niu, J. (2024). Impacts of land use change on surface infiltration capacity and urban flood risk in a representative karst mountain city over the last two decades. Journal of Cleaner Production, 454, Article 142196. https://doi.org/10.1016/j.jclepro.2024.142196
Topçuoğlu, M. E., Karagüzel, R., & Doğan, A. (2023). Comparison of the SCS-CN and hydrograph separation method for runoff estimation in an ungauged basin: The Izmit Basin, Turkey. International Journal of Economic and Environmental Geology, 12(4), 22–31. https://doi.org/10.46660/ijeeg.v12i4.70
Tóth, B., Weynants, M., Pásztor, L., & Hengl, T. (2017). 3D soil hydraulic database of Europe at 250 m resolution. Hydrological Processes, 31(14), 2662–2666. https://doi.org/10.1002/HYP.11203
U.S. Geological Survey. (n.d.). Geographic information systems, digital elevation model data website. Retrieved July 26, 2021, from https://earthexplorer.usgs.gov/
Wicher, K. (2017). Rainfall runoff modeling in Kävlinge River basin with HEC-HMS [Master's thesis, Lund University].
Yadav, U., & Ghodichore, N. (2023). Estimating runoff for Bamnidhi watershed using SCS curve number approach and geospatial technique. International Journal of Plant & Soil Science, 35(18), 86–93. https://doi.org/10.9734/ijpss/2023/v35i183270
Yagoub, M. M., & Kolan, G. R. (2006). Monitoring coastal zone land use and land cover changes of Abu Dhabi using remote sensing. Journal of the Indian Society of Remote Sensing, 34, 57–68. https://doi.org/10.1007/BF02990747
Yang, J.-L., & Zhang, G.-L. (2011). Water infiltration in urban soils and its effects on the quantity and quality of runoff. Journal of Soils and Sediments, 11, 751–761. https://doi.org/10.1007/s11368-011-0356-1
Yüce, M. I., & Eşit, M. (2020). Ceyhan havzasının kuraklık risk haritasının SPI ve SPEI metotları ile belirlenmesi. Su Kaynakları, 5(2), 1–8.
Yüce, M. I., Eşit, M., & Karataş, M. C. (2019). Hydraulic geometry analysis of Ceyhan River, Turkey. SN Applied Sciences, 1(7), Article 763. https://doi.org/10.1007/s42452-019-0800-1

Ayrıntılar

Birincil Dil

Türkçe

Konular

Su Kaynakları Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Arif Öz
0000-0001-5504-4295
Türkiye

Muhammet Ömer Diş ^*
0000-0002-3347-5112
Türkiye

Yayımlanma Tarihi

3 Eylül 2026

Gönderilme Tarihi

7 Nisan 2026

Kabul Tarihi

13 Mayıs 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 29 Sayı: 3

IZ

https://izlik.org/JA35ZU65YZ

Kaynak Göster

RIS / Bibtex

APA

Öz, A., & Diş, M. Ö. (2026). YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 29(3), 1342-1357. https://izlik.org/JA35ZU65YZ

AMA

1.Öz A, Diş MÖ. YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 2026;29(3):1342-1357. https://izlik.org/JA35ZU65YZ

Chicago

Öz, Arif, ve Muhammet Ömer Diş. 2026. “YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29 (3): 1342-57. https://izlik.org/JA35ZU65YZ.

EndNote

Öz A, Diş MÖ (01 Eylül 2026) YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29 3 1342–1357.

IEEE

[1]A. Öz ve M. Ö. Diş, “YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU”, Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, c. 29, sy 3, ss. 1342–1357, Eyl. 2026, [çevrimiçi]. Erişim adresi: https://izlik.org/JA35ZU65YZ

ISNAD

Öz, Arif - Diş, Muhammet Ömer. “YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29/3 (01 Eylül 2026): 1342-1357. https://izlik.org/JA35ZU65YZ.

JAMA

1.Öz A, Diş MÖ. YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 2026;29:1342–1357.

MLA

Öz, Arif, ve Muhammet Ömer Diş. “YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, c. 29, sy 3, Eylül 2026, ss. 1342-57, https://izlik.org/JA35ZU65YZ.

Vancouver

1.Arif Öz, Muhammet Ömer Diş. YAĞIŞ-AKIŞ DİNAMİKLERİNDE ARAZİ KULLANIMININ ROLÜ: SENTINEL VE CORINE VERİLERİNİN ENTEGRASYONU. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 01 Eylül 2026;29(3):1342-57. Erişim adresi: https://izlik.org/JA35ZU65YZ