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Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması

Year 2021, Issue: 28, 1013 - 1021, 30.11.2021
https://doi.org/10.31590/ejosat.1010220

Abstract

Bu çalışmada, global anlamda en büyük felaketlerden biri olan taşkınların analiz edilmesinde kullanılan son teknoloji deneysel, hidrodinamik ve basit kavramsal modeller karşılaştırılmaktadır. Çalışmada taşkın modellemesinde yaşanan en son gelişmeler vurgulanarak, mevcut modellerin avantajları ve dezavantajları ortaya konulmaktadır. Modelleme konusundaki belirsizliklerin analiz edilmesinde kullanılabilecek çeşitli yaklaşımlar ve ele alınış biçimleri irdelenmiştir. Çalışmanın amacı, bu konu üzerine yapılacak çalışmalar için su kaynaklarının yönetimi üzerine çalışan bilim insanlarına, acil durum müdahale kuruluşlarına, sigorta şirketlerine ve diğer karar vericilere konu ile ilgili en son bilgileri vermek ve taşkınlarla ilgili pratik sorunların çözümü için en uygun yöntemin ya da modelin seçilmesinde rehberlik etmektir. Çalışma ile modelleme amacına ve modelleme sonucunda elde edilmek istenen spesifik çıktılara göre, ihtiyaç duyulacak veriler ve analiz yöntemleri anlatılmıştır.

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Thanks

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References

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Review and Comparison of Flood Modeling Methods

Year 2021, Issue: 28, 1013 - 1021, 30.11.2021
https://doi.org/10.31590/ejosat.1010220

Abstract

In this study, the latest technology experimental, hydrodynamic and simple conceptual models used to analyze floods, one of the greatest disasters globally, are compared. In this study, the latest developments in flood modeling are emphasized and the advantages and disadvantages of the existing models are presented. Various approaches and ways of analyzing the uncertainties about modeling are discussed. The aim of the study is to give the latest information on the subject to the scientists, emergency response organizations, insurance companies and other decision makers working on water resource management for the studies on this subject and to guide the selection of the most appropriate method or model for solving practical problems related to floods. it is to. According to the aim of modeling and modeling, the data and analysis methods will be needed.

Project Number

Yok

References

  • Abbott, M. B., Bathurst, J. C., Cunge, J. A., O’Connell, P. E., & Rasmussen, J. (1986). An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling system. Journal of Hydrology, 87(1–2), 61–77. https://doi.org/10.1016/0022-1694(86)90115-0
  • Alcrudo, F. (2004). A State of the Art Review on Mathematical Modelling of Flood Propagation, IMPACT Project.
  • Apel, H., Thieken, A. H., Merz, B., & Blöschl, G. (2006). A probabilistic modelling system for assessing flood risks. Natural Hazards, 38(1–2), 79–100. https://doi.org/10.1007/s11069-005-8603-7
  • Arduino, G., Reggiani, P., & Todini, E. (2005). Recent advances in flood forecasting and flood risk assessment. Hydrology and Earth System Sciences, 9(4), 280–284. https://doi.org/10.5194/hess-9-280-2005
  • Baker, W. H., Addams, H. L., & Davis, B. (2005). Critical Factors for Enhancing Municipal Public Hearings. Public Administration Review, 65(4), 490–499. https://doi.org/10.1111/j.1540-6210.2005.00474.x
  • Bates, P. ., & De Roo, A. P. . (2000). A simple raster-based model for flood inundation simulation. Journal of Hydrology, 236(1–2), 54–77. https://doi.org/10.1016/S0022-1694(00)00278-X
  • Bates, P. D., Horritt, M. S., Smith, C. N., & Mason, D. (1997). Integrating remote sensing observations of flood hydrology and hydraulic modelling. Hydrological Processes, 11(14), 1777–1795. https://doi.org/10.1002/(SICI)1099-1085(199711)11:14<1777::AID-HYP543>3.0.CO;2-E
  • Beden, N. (2019). Cevizdere havzasının sayısal modelleme sistemlerine dayalı taşkın analizi ve taşkın zararlarının değerlendirilmesi. O.M.Ü. Fen Bilimleri Enstitüsü.
  • Beven, K. (1989). Changing ideas in hydrology — The case of physically-based models. Journal of Hydrology, 105(1–2), 157–172. https://doi.org/10.1016/0022-1694(89)90101-7
  • Bhuiyan, M. J. A. N., & Dutta, D. (2012). Analysis of flood vulnerability and assessment of the impacts in coastal zones of Bangladesh due to potential sea-level rise. Natural Hazards, 61(2), 729–743. https://doi.org/10.1007/s11069-011-0059-3
  • Brunner, G. W. (2016). HEC-RAS River Analysis System, 2D Modeling User’s Manual Version 5.0, (CPD-68A), 1–171. Retrieved from www.hec.usace.army.mil
  • Casulli, V., & Stelling, G. S. (1998). Numerical Simulation of 3D Quasi-Hydrostatic, Free-Surface Flows. Journal of Hydraulic Engineering, 124(7), 678–686. https://doi.org/10.1061/(ASCE)0733-9429(1998)124:7(678)
  • Cesur, D. (2007). GIS as an information technology framework for water modeling. Journal of Hydroinformatics, 9(2), 123–134. https://doi.org/10.2166/hydro.2007.008
  • Cunge, J. A., Holly, F. M., & Verwey, A. (1980). Practical aspects of computational river hydraulics. Boston: Pitman Advanced Publishing.
  • Cunge, J. A., & Wegner, M. (1964). Intégration numérique des équations d’écoulement de barré de Saint-Venant par un schéma implicite de différences finies. La Houille Blanche, 50(1), 33–39. https://doi.org/10.1051/lhb/1964002
  • de Saint-Venant, B. Saint-Venant, A.J.C. SAINT-VENANT, DE BARRÉ, AJC Saint-Venant, D. Barre, J. Saint-Cyr, Venant de Saint, A.J.C. SAINT-VENANT, J. S.-C. (1871). Théorie du mouvement non permanent des eaux, avec application aux crues des rivières et à l’introduction de marées dans leurs lits.
  • Demir, V., & Ülke Keskin, A. (2020). Obtaining the Manning Roughness with Terrestrial-Remote Sensing Technique and Flood Modeling using FLO-2D, a case study Samsun from Turkey. Geofizika. https://doi.org/doi.org/10.15233/gfz.2020.37.9
  • Demir, Vahdettin, & Ülke Keskin, A. (2021). Yeterince akım ölçümü olmayan nehirlerde taşkın debisinin hesaplanması ve taşkın modellemesi (Samsun, Mert Irmağı örneği). Geomatik, 7(2), 149–162. https://doi.org/10.29128/geomatik.918502
  • DHI. (2016a). DHI (Danish Hydraulic Institute) MIKE11 a modelling system for rivers and channels Reference manual.
  • DHI. (2016b). DHI (Danish Hydraulic Institute) MIKE21 flow model FM User Guide.
  • Dutta, D., Herath, S., & Musiake, K. (2006). An application of a flood risk analysis system for impact analysis of a flood control plan in a river basin. Hydrological Processes, 20(6), 1365–1384. https://doi.org/10.1002/hyp.6092
  • Dutta, D., Teng, J., Vaze, J., Lerat, J., Hughes, J., & Marvanek, S. (2013). Storage-based approaches to build floodplain inundation modelling capability in river system models for water resources planning and accounting. Journal of Hydrology, 504, 12–28. https://doi.org/10.1016/j.jhydrol.2013.09.033
  • Fotovatikhah, F., Herrera, M., Shamshirband, S., Chau, K., Faizollahzadeh Ardabili, S., & Piran, M. J. (2018). Survey of computational intelligence as basis to big flood management: challenges, research directions and future work. Engineering Applications of Computational Fluid Mechanics, 12(1), 411–437. https://doi.org/10.1080/19942060.2018.1448896
  • Gallegos, H. A., Schubert, J. E., & Sanders, B. F. (2009). Two-dimensional, high-resolution modeling of urban dam-break flooding: A case study of Baldwin Hills, California. Advances in Water Resources, 32(8), 1323–1335. https://doi.org/10.1016/j.advwatres.2009.05.008
  • Huthoff, F., Remo, J. W. F., & Pinter, N. (2015). Improving flood preparedness using hydrodynamic levee-breach and inundation modelling: Middle Mississippi River, USA. Journal of Flood Risk Management, 8(1), 2–18. https://doi.org/10.1111/jfr3.12066
  • Isaacson, E., Stoker, J. J., & Troesch, A. (1958). Numerical Solution of Flow Problems in Rivers. Journal of the Hydraulics Division, 84(5), 1–18. https://doi.org/10.1061/JYCEAJ.0000220
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Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Vahdettin Demir 0000-0002-6590-5658

Neslihan Beden 0000-0002-5573-8016

Aslı Ülke Keskin 0000-0002-9676-8377

Project Number Yok
Publication Date November 30, 2021
Published in Issue Year 2021 Issue: 28

Cite

APA Demir, V., Beden, N., & Ülke Keskin, A. (2021). Taşkın Modelleme Yöntemlerinin Gözden Geçirilmesi ve Karşılaştırılması. Avrupa Bilim Ve Teknoloji Dergisi(28), 1013-1021. https://doi.org/10.31590/ejosat.1010220