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Comparison of topo DEM and ALOS DSM in terms of 1D flood modeling: A case study from Alara River (Antalya-Turkey)

Yıl 2020, Cilt: 29 Sayı: 2, 161 - 177, 29.12.2020

Öz

Digital Elevation Models (DEM) and digital surface models (DSM) data are widely used in natural disasters, and they have an important to understand flood dynamics at present. Also, these DEM and DSM data have great importance in hazard and risk management studies and they are widely used for understanding the hydrodynamic of the floods. In this study, Alos DSM 30m and Topo DEM 10m data were evaluated within the scope of one dimensional (1D) flood modeling in the Alara River catchment. Extent, depth and velocity characteristics of floods are discussed over the DEM and DSM data obtained before and after the flood reclamation period, respectively. Maximum flow amounts are tested based on different return periods such as 10-50-100-1000 yrs via the hydraulic model created by Topo DEM and Alos DSM models. As a result, the flood extent in the study area did not change many indifferent return periods. DEM and DSM data have different results in terms of inundation-depth and velocity characteristics. Also, models show that the embankments have prevented the spread of water to the environment. It is seen that the water spreading over wide areas in Topo DEM data, does not spread much around the Alos DSM data except for certain points. Due to Topo DEM data was produced before the flood rehabilitation period and did not represent the present topography, it led to the existence of differences in flood modeling, especially in the spread areas. While the maximum spreading area is 3.60 km2 in Topo DEM, it is 3.24 km2 in Alos DSM. Both models carry similar results of the flood spreading area except for a few points show that in non-updated topography the surface Alos DSM 30m data can be used in flood studies.

Kaynakça

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  • Boulton, S.J., Stokes, M. 2018. Which DEM is best for analyzing fluvial landscape development in mountainous terrains? Geomorphology 310:168–187. https://doi.org/https://doi.org/10.1016/j.geomorph.2018.03.002
  • Boyraz, U., Gülbaz, S., Kazezyılmaz-Alhan, C.M. 2014. A Case Study: Flood Analysis of Çayırova Stream in Turkey with a Hydrodynamic Model. Word J Int Linguist Assoc 1–22
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1D TAŞKIN MODELLEMELERİ AÇISINDAN TOPO DEM VE ALOS DSM VERİLERİNİN KARŞILAŞTIRILMASI: ALARA ÇAYI ÖRNEĞİ

Yıl 2020, Cilt: 29 Sayı: 2, 161 - 177, 29.12.2020

Öz

Günümüzde doğal afet çalışmalarında yaygın olarak kullanılan sayısal yükselti modelleri (Topo DEM) ve sayısal arazi modelleri (Alos DSM) verileri taşkın dinamiklerinin anlaşılmasında da önemli bir yer tutmaktadır. Taşkınların hidrodinamik açıdan anlaşılmasında ve analiz edilmesinde kullanılan bu veriler aynı zamanda tehlike ve risk çalışmalarında da büyük öneme sahiptir. Bu çalışma Alara Çayı havzasına ait10m çözünürlükte Topo DEM ve 30m çözünürlükte Alos DSM verileri bir boyutlu (1D) taşkın modeli kapsamında değerlendirilmiştir. Çalışma sahasındaki 1D hidrolik taşkın model sonucunda yayılış-hız-derinlik özellikleri taşkın ıslah dönemi öncesi dönemde elde edilen DEM ve taşkın ıslah dönemi sonrası elde edilen DSM verileri üzerinden ele alınmıştır. Topo DEM ve Alos DSM verilerinde oluşturulan hidrolik modellemede, farklı tekrarlama sıklığına bağlı olarak maksimum akım değerleri test edilmiştir. Topo DEM verisinin taşkın ıslah döneminden önce üretilmiş olması ve güncel topografyayı temsil etmemesi nedeniyle taşkın modellemesinde özellikle yayılış alanlarında farklılıkların ortaya çıkmasına neden olmuştur. Maksimum yayılış alanı Topo DEM verisinde 3.60 km2 iken Alos DSM verisinde 3.24 km2’dir. Her iki modelde de taşkın yayılış alanının birkaç nokta dışında benzer sonuçlar taşıması Alos DSM 30m yüzey verisinin güncel olmayan topografyalarda yapılacak taşkın çalışmalarında kullanılabileceğini göstermektedir.

Kaynakça

  • Akıncı, H., Erdoğan, S. 2014. Designing a flood forecasting and inundation-mapping system integrated with spatial data infrastructures for Turkey. Nat Hazards 71:895–911. https://doi.org/10.1007/s11069-013-0939-9
  • Alaghmand, S., Abdullah, R., Abustan, I., Behdokht, V. 2010. GIS-based River Flood Hazard Mapping in Urban Area (A Case Study in Kayu Ara River Basin, Malaysia)
  • Azizian, A., Brocca, L. 2020. Determining the best remotely sensed DEM for flood inundation mapping in data sparse regions. Int J Remote Sens 41:1884–1906. https://doi.org/10.1080/01431161.2019.1677968
  • Beven, K. J. ve Kirkby, M. J. 1979. “A physically based, variable contributing area model of basin hydrology” Hydrol. Sci. B., 24, 43–69.
  • Boulton, S.J., Stokes, M. 2018. Which DEM is best for analyzing fluvial landscape development in mountainous terrains? Geomorphology 310:168–187. https://doi.org/https://doi.org/10.1016/j.geomorph.2018.03.002
  • Boyraz, U., Gülbaz, S., Kazezyılmaz-Alhan, C.M. 2014. A Case Study: Flood Analysis of Çayırova Stream in Turkey with a Hydrodynamic Model. Word J Int Linguist Assoc 1–22
  • Brandimarte, L., Di Baldassarre, G. 2012. Uncertainty in design flood profiles derived by hydraulic modelling. Hydrol Res 43:753–761. doi: 10.2166/nh.2011.086
  • Brázdil, R., Kundzewicz, Z.W., Benito, G. 2006. Historical hydrology for studying flood risk in Europe. Hydrol Sci J 51:739–764. https://doi.org/10.1623/hysj.51.5.739
  • Brown, J.D., Spencer, T., Moeller, I. 2007. Modeling storm surge flooding of an urban area with particular reference to modeling uncertainties : A case study of Canvey Island , United Kingdom. 43:1–22. https://doi.org/10.1029/2005WR004597
  • Büchele B, Kreibich H, Kron A, vd. 2006. Flood-risk mapping: Contributions towards an enhanced assessment of extreme events and associated risks. Nat Hazards Earth Syst Sci 6:483–503. https://doi.org/10.5194/nhess-6-485
  • Chow, V. Te. 1959. Open-Channel Hydraulics. McGraw Hill Inc.New York, NY
  • Curebal, I., Efe, R., Ozdemir, H., Soykan, A., Sönmez, S. 2015. GIS-based approach for flood analysis: case study of Keçidere flash flood event (Turkey). Geocarto Int 31:355–366. https://doi.org/10.1080/10106049.2015.1047411
  • Daniels, J.M. 2007. Flood hydrology of the North Platte River headwaters in relation to precipitation variability. J Hydrol 344:70–81. https://doi.org/10.1016/j.jhydrol.2007.06.020
  • De Waele, J., Martina, M.L.V., Sanna, L. vd. 2010. Flash flood hydrology in karstic terrain: Flumineddu Canyon, central-east Sardinia. Geomorphology 120:162–173. https://doi.org/10.1016/j.geomorph.2010.03.021
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  • Norbiato, D., Borga, M., Sangati, M., Zanon, F. 2007. Regional frequency analysis of extreme precipitation in the eastern Italian Alps and the August 29, 2003 flash flood. J Hydrol 345:149–166. https://doi.org/10.1016/j.jhydrol.2007.07.009
  • Orman ve Su İşeri Bakanlığı Su Yönetimi Genel Müdürlüğü. 2016. Antalya Havzası Taşkın Yönetim Planı” Temelsu Uluslararası Mühendislik Hizmetleri AŞ.
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  • Özcan, E. 2006. Sel Olayı ve Türkiye. Gazi Üniversitesi Gazi Eğitim Fakültesi Derg 26:35–50. https://doi.org/10.17152/gefd.15296.
  • Özcan, O. 2017. Taşkın tespitinin farklı yöntemlerle değerlendirilmesi: Ayamama Deresi Örneği. Artvin Çoruh Üniversitesi Doğal Afetler Uygulama ve Araştırma Merkezi, Doğal Afetler ve Çevre Dergisi, (3) 1, 9-27.
  • Özcan, O., Musaoğlu, N. 2009. Taşkın risk analizinde hidrolojik modelleme ve çok kriterli karar verme yöntemi" TUFUAB V. Teknik Sempozyumu, Ankara.
  • Ozdemir, H. 2011. Havza morfometrisi ve taşkınlar, Fiziki Coğrafya Araştırmaları: Sistematik ve Bölgesel, Ekinci D., Ed., Babil, İstanbul, ss. 507-526.
  • Özdemir, H. 2008. Havran Çayı ’ nın ( Balıkesir ) Taşkın Sıklık Analizinde Gumbel ve Log Pearson Tip III Dağılımlarının Karşılaştırılması Comparison of Gumbel and Log Pearson type III distributions in flood frequency analysis of Havran river ( Balıkesir ). 6:41–52.
  • Öztürk, M.Z., Çetinkaya, G., Aydın, S. 2017. Köppen-Geiger İklim Sınıflandırmasına Göre Türkiye’nin İklim Tipleri. Coğrafya Derg 17–27.
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  • Rahman, A., Weinmann. P.E., Hoang, T.M.T., Laurenson, E.M. 2002. Monte Carlo simulation of flood frequency curves from rainfall. J Hydrol 256:196–210. https://doi.org/10.1016/S0022-1694(01)00533-9
  • Ranke, U. 2016. Natural Disaster Risk Management Geosciences and Social Responsibility. Switzerland: Springer International Publishing.
  • Saf, B. (2011). Batı Akdeniz Bölgesi Taşkın Tahminlerinde Homojenlik İrdelemesi.İMO Teknik Dergi 5587–5611
  • Samela, C., Manfreda, S., Paola, F. D., Giugni, M., Sole, A., & Fiorentino, M. 2016. DEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa. Journal of Hydrologic Engineering, 21(2), 06015010. doi:10.1061/(asce)he.1943-5584.0001272
  • Sanders, B.F. 2007. Evaluation of on-line DEMs for flood inundation modeling. Adv Water Resour 30:1831–1843. https://doi.org/10.1016/J.ADVWATRES.2007.02.005
  • Santillan, J.R., Makinano-Santillan, M. 2016. Vertical accuracy assessment of 30-M resolution ALOS, ASTER, and SRTM global DEMS over Northeastern Mindanao, Philippines. Int Arch Photogramm Remote Sens Spat Inf Sci - ISPRS Arch 41:149– 156. https://doi.org/10.5194/isprsarchives-XLI-B4-149-2016
  • Schumann, G., Matgen, P., Hoffmann, L., vd. 2007. Deriving distributed roughness values from satellite radar data for flood inundation modelling. J Hydrol 344:96–111. https://doi.org/10.1016/j.jhydrol.2007.06.024
  • Saral, A., Musaoğlu, N. 2011. Çok kriterli karar verme ve bilgi difüzyonu yöntemleri ile taşkın risk analizi TMMOB Harita ve Kadastro Mühendisleri Odası 13. Türkiye Harita Bilimsel ve Teknik Kurultayı, 18-22 Nisan, Ankara.
  • Şenol Balaban, M. 2016. An assessment of flood risk factors in riverine cities of Turkey: Lessons for resilience and urban planning. Metu J Fac Archit 33:45–71. https://doi.org/10.4305/METU.JFA.2016.2.3
  • Şensoy, H., Palta, Ş. 2009. Yamaç şekillerinin toprak erozyonuna etkileri. Bartın Orman Fakültesi Dergisi 11:95–98
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  • Sheffer, N.A., Rico, M., Enzel, Y., vd. 2008. The Palaeoflood record of the Gardon River, France: A comparison with the extreme 2002 flood event. Geomorphology 98:71–83. https://doi.org/10.1016/j.geomorph.2007.02.034
  • Şimşek, M., Utlu, M., Poyraz, M., Öztürk, M.Z. 2019. Geyik dağı kütlesinin yüzey karstı jeomorfolojisi ve kütle üzerindeki karst-buzul jeomorfolojisi ilişkisi. Ege Coğrafya Dergisi, 28(2) 97-110.
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  • Uludağ, A.S., Doğan., H. 2016. Çok kriterli karar verme yöntemlerinin karşılaştırılmasına odaklı bir hizmet kalitesi uygulaması. Çankırı Karatekin Üniversitesi, İktisadi ve İdari Bilimler Fakülte Dergisi, (6) 2, 17-47.
  • U.S. Army Corps of Engineers. 2016. HEC-RAS River Analysis System 2D Modeling User’s Manual. Version 5.0.” Hydrologic Engineering Center. Davis, California. p. 171.
  • Utlu, M., Özdemir, H. (2018). The Role of Basin Morphometric Features in Flood Output: A Case Study of the Biga River Basin. J Geog 36:49–62. https://doi.org/10.26650/JGEOG408101
  • Van der Sande, C.J., de Jong, S.M., de Roo A.P.J. 2003. A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment. Int J Appl Earth Obs Geoinf 4:217–229. https://doi.org/10.1016/S0303-2434(03)00003-5
  • Vinet, F. 2008. Geographical analysis of damage due to flash floods in southern France: The cases of 12-13 November 1999 and 8-9 September 2002. Appl Geogr 28:323–336. https://doi.org/10.1016/j.apgeog.2008.02.007
  • Yamazaki, D., Ikeshima., D., Tawatari, R., vd. 2017. A high-accuracy map of global terrain elevations. Geophys Res Lett 44:5844–5853. https://doi.org/10.1002/2017GL072874
  • Yılmaz, İ., Öztürk, D., Kırbaş, U. 2017. "Çorum ili taşkın tehlikesinin analitik hiyerarşi yöntemi kullanılarak incelenmesi" TMMOB Harita ve Kadastro Mühendisleri Odası, 16. Türkiye Harita Bilimsel ve Teknik Kurultayı, 3-6 Mayıs. Ankara.
  • Yucel, I., Keskin, F. 2011. Assessment of flash flood events using remote sensing and atmospheric model-derived precipitation in a hydrological model. IAHS-AISH Publ 344:245–251
  • Zhou, Y., Ma, Z., Wang, L. 2002. Chaotic dynamics of the flood series in the Huaihe River Basin for the last 500 years. J Hydrol 258:100–110. https://doi.org/10.1016/S0022-1694(01)00561-3
Toplam 83 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Beşeri Coğrafya
Bölüm Araştırma Makaleleri
Yazarlar

Mustafa Utlu 0000-0002-7508-4478

Mesut Şimşek 0000-0002-4678-4336

Muhammed Zeynel Öztürk 0000-0002-9834-7680

Yayımlanma Tarihi 29 Aralık 2020
Gönderilme Tarihi 28 Temmuz 2020
Kabul Tarihi 24 Eylül 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 29 Sayı: 2

Kaynak Göster

APA Utlu, M., Şimşek, M., & Öztürk, M. Z. (2020). 1D TAŞKIN MODELLEMELERİ AÇISINDAN TOPO DEM VE ALOS DSM VERİLERİNİN KARŞILAŞTIRILMASI: ALARA ÇAYI ÖRNEĞİ. Ege Coğrafya Dergisi, 29(2), 161-177.