Two-dimensional airflow modeling underpredicts the wind velocity over dunes
نویسندگان
چکیده
منابع مشابه
Two-dimensional airflow modeling underpredicts the wind velocity over dunes
We investigate the average turbulent wind field over a barchan dune by means of Computational Fluid Dynamics. We find that the fractional speed-up ratio of the wind velocity over the three-dimensional barchan shape differs from the one obtained from two-dimensional calculations of the airflow over the longitudinal cut along the dune's symmetry axis - that is, over the equivalent transverse dune...
متن کاملAnalysis of Wind-blown Sand Movement over Transverse Dunes
Wind-blown sand movement often occurs in a very complicated desert environment where sand dunes and ripples are the basic forms. However, most current studies on the theoretic and numerical models of wind-blown sand movement only consider ideal conditions such as steady wind velocity, flat sand surface, etc. In fact, the windward slope gradient plays a great role in the lift-off and sand partic...
متن کاملA Method for Modeling and Rendering Dunes with Wind-Ripples
This paper proposes a method for modeling and rendering realistic desert scenes. A desert terrain includes sand dunes and wind ripples. We use two types of scale models to form them. We render the dunes with the wind-ripples by bump-mapping using LODs (Levels of Detail).
متن کاملModeling transverse dunes with vegetation
In the present work, we use dune modeling in order to investigate the evolution of transverse dunes in the presence of vegetation. The vegetation is allowed to grow up to a maximum height Hmax with a growth rate R that oscillates in time. We find that the presence of the vegetation establishes a maximum height for the transverse dunes. If the transverse dune is larger than this maximum size, th...
متن کاملBayesian modeling of exposure and airflow using two-zone models.
Mathematical modeling is being increasingly used as a means for assessing occupational exposures. However, predicting exposure in real settings is constrained by lack of quantitative knowledge of exposure determinants. Validation of models in occupational settings is, therefore, a challenge. Not only do the model parameters need to be known, the models also need to predict the output with some ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2015
ISSN: 2045-2322
DOI: 10.1038/srep16572