Refined Three-Dimensional River Channel Reconstruction Method Based on Coarse DEMs for Flood Simulation-Reference-Cited by-同舟云学术

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Refined Three-Dimensional River Channel Reconstruction Method Based on Coarse DEMs for Flood Simulation

Published:2023-04-12 Issue:5 Volume:28 Page:787-802
ISSN:1420-2026
Container-title:Environmental Modeling & Assessment
language:en
Short-container-title:Environ Model Assess

Author:

Ma Yongyong,Hou Jingming,Liu Wei,Li Bingyao,Wang Tian,Wang Feng

Funder

National Natural Science Foundation of China

Chinesisch-Deutsches Mobilitatsprogramm

Shaanxi Province Innovation Talent Promotion Plan Project Technology Innovation Team

Key R&D Program of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s10666-023-09887-0.pdf

Reference54 articles.

1. Alderman, K., Turner, L. R., & Tong, S. (2012). Floods and human health: A systematic review. Environment International, 47, 37–47. https://doi.org/10.1016/j.envint.2012.06.003

2. Berthou, S., Kendon, E. J., Chan, S. C., Ban, N., Leutwyler, D., Schär, C., & Fosser, G. (2020). Pan-European climate at convection-permitting scale: A model intercomparison study. Climate Dynamics, 55(1–2), 35–59. https://doi.org/10.1007/s00382-018-4114-6

3. Wood, M., de Jong, S. M., & Straatsma, M. W. (2018). Locating flood embankments using SAR time series: A proof of concept. International Journal of Applied Earth Observation and Geoinformation, 70, 72–83. https://doi.org/10.1016/j.jag.2018.04.003

4. de Koning, K., Filatova, T., & Bin, O. (2017). Bridging the gap between revealed and stated preferences in flood-prone housing markets. Ecological Economics, 136, 1–13. https://doi.org/10.1016/j.ecolecon.2017.01.022

5. Xia, X., Liang, Q., Ming, X., & Hou, J. (2017). An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations. Water Resources Research, 53(5), 3730–3759. https://doi.org/10.1002/2016WR020055

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