为了对比分析不同精细度下垫面对洪水模拟的影响，选取2020.7场次洪水，以荒草二圩、荒草三圩为研究对象，分别搭建了不同精细度的二维蓄滞洪区模型，并对襄河口、晓桥站、晋集闸3个典型测站逐小时的水位（单位：m）进行模拟，模拟洪水在蓄滞洪区内的演进过程，并统计最终的洪水淹没经济损失，对结果进行比对分析。\n
高精细度的二维蓄滞洪区模型采用了12.5 m分辨率的数字高程数据作为模型支撑地形数据，同时以面积更小的非结构网格对地形进行剖分，而较低精细度的二维蓄滞洪区模型采用了应用较为普遍的30m分辨率的数字高程数据，其网格单元的面积也相对更大。", "ds_source": "
本数据集数据来源自针对典型蓄滞洪区所构建的一维、二维水动力学模型运行结果。有一定可靠性。", "ds_process_way": "
基于河道断面及高分辨率遥感影像数据，构建了滁河流域一维河道和二维蓄滞洪区耦合的蓄滞洪区洪水精细化模拟模型。并选取1991.6、2015.6和2020.7总共3场次洪水作为模型输入，并结合了蓄滞洪区分洪损失核算和不同精细度下垫面的洪水模拟对比，最终通过所构建的模型模拟后得到对应的结果数据集。", "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": "2020-07-01 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": 175820, "ds_files_count": 8, "ds_format": "*.xlsx,*.log", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "f6c04b59-c72d-41b7-9463-0a956d0a4dce.png", "ds_thumb_from": 0, "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": "2025-03-27 15:45:33", "last_updated": "2025-06-30 11:40:08", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI.DB6797.2025", "i18n": { "en": { "title": "Dataset of flood simulation results of 2020.7 typical stations in the Chuhe River Basin", "ds_format": "*.xlsx,*.log", "ds_source": "
The data in this dataset are derived from the results of one- and two-dimensional hydrodynamic model runs constructed for typical flood storage areas. There is a certain degree of 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 overall, 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": "
In order to comparatively analyze the influence of different fineness of subsurface on flood simulation, 2020.7 floods were selected, and the two-dimensional storage and retention floodplain model with different finenesses was constructed with Arakusa Erxu and Arakusa Sanxu as the research object, and the hour-by-hour water levels (unit: m) of three typical gauging stations at the mouth of the Xianghe River, Xiaoxiao Station, and Jinji Gate were simulated, and the simulation of the flood in the storage and retention floodplain was carried out. The evolution of flood water in the stagnant flood zone was simulated, and the final flood inundation economic loss was counted, and the results were compared and analyzed.\n
The high-detail two-dimensional floodplain model adopts 12.5 m resolution digital elevation data as the model support terrain data, and at the same time, the terrain is dissected by an unstructured grid with a smaller area, whereas the lower-detail two-dimensional floodplain model adopts 30 m resolution digital elevation data, which is a common application, and the area of the grid cell is also relatively larger. The grid cells are relatively larger in area.
", "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": "Based on the river cross-section and high-resolution remote sensing image data, a refined flood simulation model of the flood storage area coupled with a one-dimensional river channel and a two-dimensional flood storage area was constructed in the Chu River basin. A total of three floods of 1991.6, 2015.6 and 2020.7 were selected as model inputs and combined with flood loss accounting in the flood storage area and flood simulation comparisons with different fineness of the subsurface, and finally the corresponding result data sets were obtained after simulation by the constructed model.", "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", "一维水动力学模型", "二维水动力学模型" ], "ds_subject_tags": [ "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "滁河", "荒草二圩" ], "ds_time_tags": [ 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" }