A Numerical Study of Hydrodynamic Processes and Flood Mitigation in a Large River-lake System

Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions

“…Due to the complex flow regime and interaction between “river” and “lake” in lake‐connected river systems, there are many difficulties in developing a robust hydrodynamic numerical model for such systems (D. Hu et al., 2020; Tang et al., 2020). The 1‐D and 2‐D coupled models are the most commonly used method to solve the hydrodynamic problems of lake‐connected rivers, but it is still a challenge to improve the computational efficiency and accuracy, especially for the treatment at the confluences (Lai et al., 2013; Van et al., 2016).…”

Random-walk-path solution of unsteady flow equations for general channel networks

“…This near constant influence may result as the water level fluctuations are small for low discharge conditions in the plain river network area. The terminal weights can act as a simple and effective tool in the sensitivity analysis of flooding problems (Mazzoleni et al, 2018;Pappenberger et al, 2006;Tang et al, 2020).…”

Variation of dominant discharge along the riverbed based on numerical and deep-learning models: A case study in the Middle Huaihe River, China

“…Owing to the intense human activities such as sand mining, the riverbed elevation significantly changes significantly along the Middle Huaihe River, with the water depth varying from 8.5 to 14.5 m (Liu et al, 2012). In addition, the sub-reach downstream of Xiaoliuxiang Station enters into the Hongze Lake with an inverted gradient ratio, resulting in complex river-lake interactions (Tang et al, 2020).…”