DJDong-Dong Jia

Dong-Dong Jia

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Dong-Dong Jia has a total of 3 co-authors. Here are the top co-authors by number of shared publications:

  • Xing-Nong Zhang

    Professor, State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China

    1 shared publication
  • Xuejun Shao

    State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China

    1 shared publication
  • Yun-Tao Ye

    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

    1 shared publication

Latest Publications

  • Sedimentation Patterns of Fine-Grained Particles in the Dam Area of the Three Gorges Project: 3D Numerical Simulation

    by Dong-Dong Jia, Xue-Jun Shao, Xing-Nong Zhang, Yun-Tao Ye

    This paper is focused on the sedimentation processes of fine-grained particles in a 14-km-long section upstream of the Three Gorges Dam, referred to as the dam area, during the period from March 2003 to October 2006. Field measurements indicated that sediment deposits in the dam area were mostly found at the bottom of the main channel, where a new river bed was formed with a flat, nearly horizontal surface. In contrast, very little deposits could be found on the bank slopes of the channel. The observations disagree with the previous predictions based on numerical models, which suggested more evenly distribution of deposits over the cross section. This paper explains the discrepancy by identifying the motion of muddy deposits by gravity as a key process in the dam area. A three-dimensional (3D) full Reynolds-Averaged Navier-Stokes (RANS) model is applied to calculate the flow and sediment transport processes. A critical slope method (CSM) is used to estimate the downslope movement of muddy deposits in the bottom by gravity. The formation of bottom deposits is successfully simulated using this approach. The simulated sedimentation patterns agree well with field observations.