361 / 2024-02-29 21:15:03
A stochastic shallow water hydro-sediment-morphodynamic model for Yangtze River waterway
the middle Yangtze River,water and sediment interaction,Stochastic differential equation,shallow water hydro-sediment-morphodynamic model
摘要录用
JI LI / Wuhan University
The Yangtze River is one of the longest rivers in the world and plays a crucial role in waterborne freight transportation in China. However, the waterway conditions in the middle and lower reaches of the Yangtze River may not be able to meet the increasingly stringent requirements of cost-effective navigation necessary for the rapid economic development in the region. An improved understanding of the water flow, sediment transport and bed evolution is important for the regulation and maintenance of the waterway, especially since the operation of Three-Gorges Reservoir. A one-dimensional shallow water hydro-sediment-morphodynamic (SHSM) model has been widely used for river fluvial process. However, modelling hydro-sediment-morphodynamic (SHSM) processes is subject to multiple sources of uncertainty arising from input data and incomplete understanding of the underlying physics. A stochastic SHSM model with multiple uncertainties has yet to be developed as most SHSM models still concern deterministic problems. Here we first present a new probabilistic SHSM model incorporating multiple uncertainties within the stochastic Galerkin framework using a multidimensional tensor product of Haar wavelet expansion to capture local, nonlinear variations in joint probability distributions and an operator-splitting-based method to ensure the modelling system remain hyperbolic. Then, we verify the proposed model via benchmark probabilistic numerical tests with joint uncertainties introduced in initial and boundary conditions, matching a spectrum of established experiments of flow-sediment-bed evolutions. Then, it is applied to the reach from Yichang to Gong’an in the middle Changjiang Waterway. The present work facilitates a promising modelling framework for quantifying multiple uncertainties in practical shallow water hydro-sediment-morphodynamic modelling applications.

 
重要日期
  • 会议日期

    10月14日

    2024

    10月17日

    2024

  • 09月30日 2024

    初稿截稿日期

  • 10月17日 2024

    注册截止日期

主办单位
国际水利与环境工程学会亚太地区分会
承办单位
长江水利委员会长江科学院
四川大学
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