本研究选取滁河干流自上而下荒草二圩、荒草三圩、蒿子圩、汪波东荡四个蓄滞洪区进行洪水水文水动力学模拟。据此本数据集通过调研整理了建模所需的基础数据，包括场次洪水闸上水位数据（单位m）、滁河河网中河道断面数据和中心线数据（数据格式.shp）和闸门参数。选取1991.6、2015.6和2020.7总共3场次洪水进行模拟。\n
建模范围划定为滁河干流中游襄河口闸至汊河集闸处，长度为34km，建模时，通过实测资料、影像资料以及闸门参数来对河道和断面进行概化，总计12个断面，断面间距为1-3 km。", "ds_source": "
本研究闸门数据、断面数据、河道数据、场次洪水数据来源自长江流域水文年鉴实测资料整理。有较强可靠性。", "ds_process_way": "
本数据作为基础数据参与模型构建。所获取的数据均从长江流域水文年鉴摘录，涉及从纸质文件到电子文档的转化，方便存储计算。所形成的滁河河网数据相关的.shp文件均为自己通过对应的长江流域水文年鉴数据建模得到。", "ds_quality": "
从一维河道模型率定结果来看，滁河干流典型测站模拟水位过程与实测水位过程比较接近，模拟得到的最高水位与实际值相差最大不超过0.3m，滁河干流典型测站模拟值和实际值的相对误差平均值均小于5%，表明所建河道一维模型精度较高。\n
从蓄滞洪区的洪水模拟结果来看，1991.6、2015.6和2020.7总共3场次洪水模拟结果与实际情况分析变化趋势整体一致，表明模型计算结果较为可靠。\n
从蓄滞洪区的分洪损失核算结果来看，2015.6和2020.7场次洪水中，荒草二圩、三圩蓄滞洪区模拟计算洪灾损失与实际情况误差低于10%，表明模型计算结果较为可靠。", "ds_acq_start_time": "1996-06-01 00:00:00", "ds_acq_end_time": "2020-07-31 00:00:00", "ds_acq_place": "长江下游典型蓄滞洪区", "ds_acq_lon_east": 119.03, "ds_acq_lat_south": 31.52, "ds_acq_lon_west": 117.28, "ds_acq_lat_north": 32.44, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 60850392, "ds_files_count": 22, "ds_format": "*.shp,*.xlsx,*.docx", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "Albers Equal Area Conic Projection System", "ds_thumbnail": "7fa463c6-c6e8-4cc7-a807-a43dbf1092e0.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "37eb642a-c117-47e4-a677-07ecffb4b8b7", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.55" ], "quality_level": 3, "publish_time": "2025-03-13 16:10:19", "last_updated": "2025-06-30 11:40:08", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6800.2025", "i18n": { "en": { "title": "Dataset of flood network information and gate parameters in typical flood storage and detention areas in the Chuhe River Basin", "ds_format": "*.shp,*.xlsx,*.docx", "ds_source": "
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.", "ds_quality": "
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.\n
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.\n
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.", "ds_ref_way": "", "ds_abstract": "
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.\n
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.
", "ds_time_res": "", "ds_acq_place": "Typical flood storage and detention areas in the lower reaches of the Yangtze River", "ds_space_res": "", "ds_projection": "", "ds_process_way": "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.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "蓄滞洪区", "断面资料", "闸门参数", "河网信息" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "滁河", "荒草二圩", "荒草三圩", "蒿子圩", "十八联圩" ], "ds_time_tags": [ 1996, 2015, 2020 ], "ds_contributors": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "陈兆懿", "email": "czy_nhri@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "水文" }