کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4728160 1640184 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Numerical modeling techniques for flood analysis
ترجمه فارسی عنوان
تکنیک های مدل سازی عددی برای تجزیه و تحلیل سیل
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی
چکیده انگلیسی


• Explored widely used models for estimation of flood generating parameters.
• Role of hydrology, river modeling and numerical modeling in flood analysis.
• Discussed the most widely used 1D and 2D numerical models for flood analysis.
• Suggested the development of a 3D model for more accurate flood analysis.

Topographic and climatic changes are the main causes of abrupt flooding in tropical areas. It is the need to find out exact causes and effects of these changes. Numerical modeling techniques plays a vital role for such studies due to their use of hydrological parameters which are strongly linked with topographic changes. In this review, some of the widely used models utilizing hydrological and river modeling parameters and their estimation in data sparse region are discussed. Shortcomings of 1D and 2D numerical models and the possible improvements over these models through 3D modeling are also discussed. It is found that the HEC-RAS and FLO 2D model are best in terms of economical and accurate flood analysis for river and floodplain modeling respectively. Limitations of FLO 2D in floodplain modeling mainly such as floodplain elevation differences and its vertical roughness in grids were found which can be improve through 3D model. Therefore, 3D model was found to be more suitable than 1D and 2D models in terms of vertical accuracy in grid cells. It was also found that 3D models for open channel flows already developed recently but not for floodplain. Hence, it was suggested that a 3D model for floodplain should be developed by considering all hydrological and high resolution topographic parameter's models, discussed in this review, to enhance the findings of causes and effects of flooding.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of African Earth Sciences - Volume 124, December 2016, Pages 478–486
نویسندگان
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