Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027357 |
Explicit Expression of Weighting Factor for Improved Estimation of Numerical Flu in Local‐inertial Models | |
B. Sridharan; Dinakar Gurivindapalli; Soumendra Nath Kuiry; Vijay Kisan Mali; N. Nithila Devi; Paul D. Bates; Dhrubajyoti Sen | |
2020-04-27 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Two‐dimensional shallow water models have been widely used in forecasting, risk assessment and management of floods. Application of these models to large‐scale floods with high‐resolution terrain data significantly increases the computation cost. In order to reduce computation time, shallow water models are simplified by neglecting the inertial and/or convective acceleration terms in the momentum equations. The local‐inertial models have proved to significantly improve the computational efficiency even for large scale flood forecasting. However, instability issues are encountered on smooth surfaces of urban areas having low friction values. This problem was resolved by de Almeida et al. (Water Resources Research 48: 1‐14, 2012) by introducing limited artificial diffusion in the form of weighting factors for the neighboring fluxes. The arbitrary value of the weighting factor poses a practical limitation of being case specific and requiring calibration for accurate solutions. This study derives an explicit expression for the weighting factor, an adaptive formulation dependent on local velocity, flow depth, grid and time step size, that eliminates the need for trials and approximations. Comparisons between analytical, experimental and real‐world applications confirm the accuracy and robustness of the proposed weighting factor. Implementation of adaptive weights results in less computation time compared to LISFLOOD‐FP (~1.2 times) and hold a significant advantage over HEC‐RAS (~25.9 times) as it allows the use of larger time step at higher CFL values. The contribution of the present study therefore resolves an important problem of current large scale flood simulations, especially those implemented in real‐time. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249171 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | B. Sridharan,Dinakar Gurivindapalli,Soumendra Nath Kuiry,等. Explicit Expression of Weighting Factor for Improved Estimation of Numerical Flu in Local‐inertial Models[J]. Water Resources Research,2020. |
APA | B. Sridharan.,Dinakar Gurivindapalli.,Soumendra Nath Kuiry.,Vijay Kisan Mali.,N. Nithila Devi.,...&Dhrubajyoti Sen.(2020).Explicit Expression of Weighting Factor for Improved Estimation of Numerical Flu in Local‐inertial Models.Water Resources Research. |
MLA | B. Sridharan,et al."Explicit Expression of Weighting Factor for Improved Estimation of Numerical Flu in Local‐inertial Models".Water Resources Research (2020). |
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