Identification of Manning's Roughness Coefficients in Shallow Water Flows

By Yan Ding, Yafei Jia, Sam S. Y. Wang. 2004

131 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/85eb70aeecc8a7116ca38241151f0ceb3b79ef95

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Jérôme Monnier
2. Xijun Lai
3. Yan Ding
4. Sam S. Y. Wang

In Ecology

1. Jérôme Monnier
2. Xijun Lai
3. Yan Ding
4. Sam S. Y. Wang

In Environmental Engineering

1. Jérôme Monnier
2. Xijun Lai
3. Yan Ding
4. Sam S. Y. Wang

Citations in the corpus

• Lagrangian data assimilation for river hydraulics simulations (2006, unknown): “Data assimilation methods have been used in river model for the identification of model parameters in one dimensional channels [13,22], using Kalman filter [9,18] or for bidimensional shallow water equations using variational methods [1,2,6,19,26].”
• Identification of Manning's roughness coefficients in channel network using adjoint analysis (2005, methodology): “Ding et al. (2004) have compared comprehensively several minimization procedures and found that those procedures based on the LMQN method have the advantage of a higher rate of convergence, numerical stability and computational efficiency.”
• Assimilation of spatially distributed water levels into a shallow-water flood model. Part I: Mathematical method and test case (2009, methodology): “In river hydraulics, variational data assimilation methods have been used successfully for one-dimensional and two-dimensional shallow water equations in [1, 5, 2, 23, 3, 11, 7, 12, 13].”