U.S.-U.K. Cooperative Research: Integration of Mathematical Modeling, Physical Modeling and Field Research for Advanced Understanding of River Dynamics

[00:97059 . rhoads]这项为期三年的地理学和区域科学合作研究奖由美国和英国的团队参与。由Bruce L. Rhoads、Marcelo H. Garcia、Rebecca Wade和他们在伊利诺伊大学的研究生组成的美国团队提议与利兹大学的Stuart Lane、James Best、Philip Ashworth、Sheffield大学的Robert Ferguson和剑桥大学的Keith Richards以及这些机构的研究生合作。美国和英国的团队将探索自然河流中时间平均流体运动和湍流的三维结构，并开发和经验测试具有泥沙运输和河岸侵蚀功能的河道动力学数值模型。溪流和河流是地球表面侵蚀和沉积变化的媒介。尽管对河流的形式和过程进行了大量的研究，但对河道随时间和空间的定量预测仍有理论上的需要。提议的跨学科合作通过研究和开发现场测试的预测模型来解决这个问题。美国和英国的研究团队都是计算流体动力学方面的专家，他们为这次合作带来了不同的方法，各自实验室模型模拟的详细测量，以及计算建模和现场测试方面的专业知识。

0097059RhoadsThis three-year award for cooperative research in geography and regional sciences involves teams in the United States and in the United Kingdom. The US team of Bruce L. Rhoads, Marcelo H. Garcia, Rebecca Wade and their graduate students at the University of Illinois propose to collaborate with Stuart Lane, James Best, Philip Ashworth at the University of Leeds, Robert Ferguson at University of Sheffield, and Keith Richards at Cambridge University along with graduate students from these institutions. The US and UK teams will explore the three-dimensional structure of time-averaged fluid motion and turbulence in natural rivers and develop and empirically test numerical models of river-channel dynamics with functions for sediment transport and bank erosion.Streams and rivers are agents of erosion and depositional change on the Earth's terrestrial surfaces. Despite enormous amounts of research on fluvial forms and processes, there is a theoretical need for predicting quantitatively the behavior of river channels over time and space. The proposed interdisciplinary collaboration addresses this problem through research on and development of a field-tested predictive model. The US and UK research teams are expert on computational fluid dynamics and bring to this collaboration different approaches, detailed measurements of model simulations from their respective laboratories, and expertise in computational modeling and field testing.