Articles | Volume 24, issue 10
https://doi.org/10.5194/hess-24-4743-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4743-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Frequency and magnitude variability of Yalu River flooding: numerical analyses for the last 1000 years
Hui Sheng
State Key Laboratory of Estuarine and Coastal Research, School of
Marine Sciences East China Normal University, Shanghai, 200062, China
Xiaomei Xu
School of Geography and Ocean Science, Ministry of Education Key
Laboratory for Coast and Island Development, Nanjing University, Nanjing, China
Jian Hua Gao
CORRESPONDING AUTHOR
School of Geography and Ocean Science, Ministry of Education Key
Laboratory for Coast and Island Development, Nanjing University, Nanjing, China
Laboratory for Marine Geology, Qingdao National Laboratory for
Marine Science and Technology, Qingdao, 266061, China
Albert J. Kettner
CSDMS Integration Facility, INSTAAR, University of Colorado, Boulder, CO 80309-0545, USA
Yong Shi
School of Geography and Ocean Science, Ministry of Education Key
Laboratory for Coast and Island Development, Nanjing University, Nanjing, China
Chengfeng Xue
State Key Laboratory of Estuarine and Coastal Research, School of
Marine Sciences East China Normal University, Shanghai, 200062, China
Ya Ping Wang
CORRESPONDING AUTHOR
State Key Laboratory of Estuarine and Coastal Research, School of
Marine Sciences East China Normal University, Shanghai, 200062, China
Shu Gao
State Key Laboratory of Estuarine and Coastal Research, School of
Marine Sciences East China Normal University, Shanghai, 200062, China
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Cited
13 citations as recorded by crossref.
- Environmental Assessment and Restoration of the Hunjiang River Basin Based on the DPSIR Framework S. Tang et al. https://doi.org/10.3390/su16198661
- Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling L. Jia et al. https://doi.org/10.1109/TGRS.2023.3334291
- Satellite-Based Flood Resilience Assessment in Data-Scarce Regions: Application to the Downstream Amnok, Taedong, and Tumen River Basins in North Korea H. Choi et al. https://doi.org/10.7780/kjrs.2025.41.6.6
- Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood L. Zhang et al. https://doi.org/10.1038/s41612-025-00908-1
- 长江上游近千年来的洪水变化——比较气候-水文模型模拟数据与重建数据 苒. 霍 et al. https://doi.org/10.1360/N072022-0079
- Shift in the quantitative relationship between sedimentary records and catchment floods influenced by dam construction S. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.130944
- Flood analysis using the HEC-RAS software for Antakya Altınçay Creek A. İrvem et al. https://doi.org/10.37908/mkutbd.1507564
- Using deep learning to understand flood variability across the last millennium from GCM atmospheric variables in two contrasting catchments R. Huo et al. https://doi.org/10.1016/j.jhydrol.2025.132851
- Impact of changes in international boundary rivers on territorial security: An empirical analysis of the Yalu river between China and North Korea S. Lu et al. https://doi.org/10.1016/j.jhydrol.2025.133471
- Differential response of floods to climate change and human activities in the Yalu River over the past two millennia: insights from hydrological modeling S. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136155
- Flood variability in the upper Yangtze River over the last millennium—Insights from a comparison of climate-hydrological model simulated and reconstruction R. Huo et al. https://doi.org/10.1007/s11430-022-1008-5
- Changing flood dynamics in Norway since the last millennium and to the end of the 21st century R. Huo et al. https://doi.org/10.1016/j.jhydrol.2022.128331
- Bibliometric review of human-flood interaction: Geospatial disconnects between hazard patterns and scientific knowledge Z. Lan et al. https://doi.org/10.1016/j.geosus.2026.100431
13 citations as recorded by crossref.
- Environmental Assessment and Restoration of the Hunjiang River Basin Based on the DPSIR Framework S. Tang et al. https://doi.org/10.3390/su16198661
- Spatial and Temporal Water Quality Data Prediction of Transboundary Watershed Using Multiview Neural Network Coupling L. Jia et al. https://doi.org/10.1109/TGRS.2023.3334291
- Satellite-Based Flood Resilience Assessment in Data-Scarce Regions: Application to the Downstream Amnok, Taedong, and Tumen River Basins in North Korea H. Choi et al. https://doi.org/10.7780/kjrs.2025.41.6.6
- Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood L. Zhang et al. https://doi.org/10.1038/s41612-025-00908-1
- 长江上游近千年来的洪水变化——比较气候-水文模型模拟数据与重建数据 苒. 霍 et al. https://doi.org/10.1360/N072022-0079
- Shift in the quantitative relationship between sedimentary records and catchment floods influenced by dam construction S. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.130944
- Flood analysis using the HEC-RAS software for Antakya Altınçay Creek A. İrvem et al. https://doi.org/10.37908/mkutbd.1507564
- Using deep learning to understand flood variability across the last millennium from GCM atmospheric variables in two contrasting catchments R. Huo et al. https://doi.org/10.1016/j.jhydrol.2025.132851
- Impact of changes in international boundary rivers on territorial security: An empirical analysis of the Yalu river between China and North Korea S. Lu et al. https://doi.org/10.1016/j.jhydrol.2025.133471
- Differential response of floods to climate change and human activities in the Yalu River over the past two millennia: insights from hydrological modeling S. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.136155
- Flood variability in the upper Yangtze River over the last millennium—Insights from a comparison of climate-hydrological model simulated and reconstruction R. Huo et al. https://doi.org/10.1007/s11430-022-1008-5
- Changing flood dynamics in Norway since the last millennium and to the end of the 21st century R. Huo et al. https://doi.org/10.1016/j.jhydrol.2022.128331
- Bibliometric review of human-flood interaction: Geospatial disconnects between hazard patterns and scientific knowledge Z. Lan et al. https://doi.org/10.1016/j.geosus.2026.100431
Saved (final revised paper)
Latest update: 31 Aug 2026
Short summary
This paper investigates the variability of past flooding by applying a numerical model coupled with historical records of regional climate and anthropogenic activity under the deficiency of observations. We conclude that trends in flooding frequency were predominantly modulated by the intensity and frequency of extreme rainfall events, which highlights the need for the implementation of effective river engineering measures to counteract increasing flood risks as a result of the future.
This paper investigates the variability of past flooding by applying a numerical model coupled...