Research on the Threshold of the Transverse Gradient of the Floodplain in the Lower Yellow River Based on a Flood Risk Assessment Model

Due to the influence of water and sediment conditions, engineering projects, channel erosion and siltation, river-related factors, and human activities (such as adjustments in floodplain production structures and village construction), there have been significant variations in the transverse gradient of the floodplain in the lower Yellow River. An irrational transverse gradient can lead to the rapid conversion of gravitational potential energy into kinetic energy during the flood evolution process, resulting in increased flow velocity and inundated areas. Exploring reasonable transverse gradients can provide technical support for floodplain management. Using “flood risk assessment” as a keyword, research papers from the Web of Science core database and CNKI published in the past five years were collected. Through a VOS viewer analysis of indicators, a flood risk assessment model based on the “Source–Path–Receptor–Consequence–Resilience” framework was established. A two-dimensional water and sediment model was used to simulate flood inundation scenarios with different transverse gradients in the same flood event, evaluate flood risks in the floodplain, and determine the optimal transverse gradient based on flood risk levels. The results indicate that, compared to low transverse gradients, moderate and high transverse gradients have a more significant driving effect on flood inundation, increasing flood risk opportunities for floodplains. Lower transverse gradients (i.e., TG = 10LG = 1.25‰) are the most favorable for flood protection in the floodplain after flood inundation.

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Publication Details

Journal
Water
Published
2024-09-06
DOI
https://doi.org/10.3390/w16172533
Citations
3
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.85

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article

Research on the Threshold of the Transverse Gradient of the Floodplain in the Lower Yellow River Based on a Flood Risk Assessment Model

Caihong Hu, Zhao Zheng, Chaojie Niu, Guangzhang Ai et al.
3 citations
Water
Flood Risk Assessment and Management
0.85
article

Research on the Threshold of the Transverse Gradient of the Floodplain in the Lower Yellow River Based on a Flood Risk Assessment Model

Caihong Hu, Zhao Zheng, Chaojie Niu, Guangzhang Ai, Ming Li, Liyu Quan
article en
3 citations

Abstract

Due to the influence of water and sediment conditions, engineering projects, channel erosion and siltation, river-related factors, and human activities (such as adjustments in floodplain production structures and village construction), there have been significant variations in the transverse gradient of the floodplain in the lower Yellow River. An irrational transverse gradient can lead to the rapid conversion of gravitational potential energy into kinetic energy during the flood evolution process, resulting in increased flow velocity and inundated areas. Exploring reasonable transverse gradients can provide technical support for floodplain management. Using “flood risk assessment” as a keyword, research papers from the Web of Science core database and CNKI published in the past five years were collected. Through a VOS viewer analysis of indicators, a flood risk assessment model based on the “Source–Path–Receptor–Consequence–Resilience” framework was established. A two-dimensional water and sediment model was used to simulate flood inundation scenarios with different transverse gradients in the same flood event, evaluate flood risks in the floodplain, and determine the optimal transverse gradient based on flood risk levels. The results indicate that, compared to low transverse gradients, moderate and high transverse gradients have a more significant driving effect on flood inundation, increasing flood risk opportunities for floodplains. Lower transverse gradients (i.e., TG = 10LG = 1.25‰) are the most favorable for flood protection in the floodplain after flood inundation.

WaterVol. 16(17)
Zhengzhou University (CN), Yellow River Institute of Hydraulic Research (CN)
National Natural Science Foundation of China, Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin
Openalex Percentile: Top 28%
Flood Risk Assessment and Management
0.85
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