This study selected the Chu River mainstem from top to bottom Arakusa two polder, Arakusa three polder, Artemisia polder, Wangbo Dongdang four flood storage and detention area for flood hydrological hydrodynamic simulation. Accordingly this dataset is organized through research of the basic data required for modeling, including field flood water level data on the gate (unit m), river cross-section data and centerline data in the Chu River network (data format .shp) and gate parameters. A total of three floods, 1991.6, 2015.6 and 2020.7, were selected for simulation.
The modeling scope is delineated as the middle reaches of the main stream of the Chu River from Xianghekou lock to Chahejie lock, with a length of 34km, and the channel and cross sections are generalized by the measured data, image data, and gate parameters in the modeling, with a total of 12 cross sections, and the spacing of the cross sections is 1-3km.
collect time | 1996/06/01 - 2020/07/31 |
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collect place | Typical flood storage and detention areas in the lower reaches of the Yangtze River |
data size | 58.0 MiB |
data format | *.shp,*.xlsx,*.docx |
Coordinate system | WGS84 |
Projection |
The gate data, cross-section data, river channel data, and field flood data in this study were compiled from the measured information of the hydrological yearbook of the Yangtze River Basin. It has strong reliability.
This data is involved in model construction as basic data. The acquired data are extracted from the hydrological yearbook of the Yangtze River Basin, which involves the transformation from paper documents to electronic documents, which is convenient for storage and calculation. The .shp files related to the formed Chu River network data are all modeled by themselves through the corresponding Yangtze River Basin Hydrographic Yearbook data.
From the one-dimensional river model rate determination results, the Chu River mainstem typical station simulation of the water level process and the measured water level process is relatively close to the simulation of the highest water level and the actual value of the maximum difference of no more than 0.3m, the Chu River mainstem typical station simulation and the actual value of the relative error of the average value of the average value of the value of the value of the value of the value of the value of the value of the average value of the relative error is less than 5%, which indicates that the one-dimensional model of the river is built with a higher degree of accuracy.
From the flood simulation results of the flood storage area, 1991.6, 2015.6 and 2020.7, a total of three flood simulation results and the actual situation analysis of the trend of change is consistent with the whole, indicating that the model calculation results are more reliable.
From the flood loss accounting results of the storage and retention flood area, 2015.6 and 2020.7 floods, Arakusa two dikes, three dikes storage and retention flood area simulation calculation of flood loss and the actual situation error is less than 10%, indicating that the model calculation results are more reliable.
# | number | name | type |
1 | 2021YFC3000100 | Lower Yangtze River Flood Disaster Integration and Control and Emergency De-risking Technology and Equipment | National key R & D plan |
# | title | file size |
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1 | _ncdc_meta_.json | 5.1 KiB |
2 | 场次洪水闸上水位数据 | |
3 | 滁河河网数据 | |
4 | 蓄滞洪区主要闸门参数 |
# | category | title | author | year |
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1 | patent | Flood dispatch method and system for flood storage and detention areas based on virtual river channel replacement of sluice discharge calculation | Yun Zhaode, Liu Yong, Zhao Yajun, etc | 2024 |
2 | achievements | Flood Control Ecological Joint Optimization Dispatch Management System V1.0 for Flood Storage and Detention Areas | Nanjing Institute of Water Resources Science, Liu Yong, etc | 2024 |
3 | achievements | Flood Dispatch Simulation and Analysis Processing Platform for Flood Storage and Detention Areas V1.0 | Nanjing Institute of Water Resources Science, Liu Yong, etc | 2024 |
Flood storage and detention areas cross-sectional data gate parameters river network information
China Chuhe River Abandoned Grass Second Weir Abandoned Grass Third Weir Haozi Weir Shibailian Weir
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