本数据集为湖北滔河水库大坝深埋病害探测装备现场测试数据，包括采用课题研发装备现场采集的原始数据数据、采用课题算法计算的解译数据，以及对解译后数据进行成像的图形数据。\n
本数据集原始数据为现场实测，解译数据为根据现场实测数据进行反演得到的视电阻率数据，成像图谱为根据视电阻率图谱数值和位置赋予不同颜色，使病害直观成像。\n数据集中，原始数据为txt文件，以现场布设的测线命名，包括“L0-1”、“L0-2”、“L1-3”、“L3-一级马道”、“L4-二级马道”、“L5-三级马道”、“L6-四级马道”7个文件，可通过文本软件查看或编辑，各个文件数据包括测点位置（m）、磁场强度（Bz）。解译数据为dat文件，纵向测线为1，横向测线为2，包括“解译数据1”、“解译数据2”，各个文件包括点位置、和视电阻率值。成像图谱为jpg文件，纵向测线结果为1，横向测线结果为2，包括“测试结果1”和“测试结果2”。本数据集涵盖了现场数据采集、数据解译和最终成像全过程数据，最终获取大坝视电阻率分布，直观展示低阻异常区，定位渗漏通道。", "ds_source": "
本数据由南京水利科学研究院自研发的“高土石坝深埋病害探测技术装备”现场采集和解译获得。", "ds_process_way": "
对现场采集的探测数据（磁场衰减曲线）按顺序进行逐点排列，然后采用研发的专用算法解译为视电阻率数据，最后根据坐标和视电阻率数值进行排列，形成图谱。", "ds_quality": "
采用研发的“高土石坝深埋病害探测技术装备”对湖北滔河水库进行探测。 结果表明桩号K0+249位置处埋深[86m，112m]范围内存在异常，定位渗漏病害中心埋深为99m。选取研判出桩号K0+249位置处病害进行钻孔验证。钻孔取芯结果和压水试验结果表明，深度[89.5m，104.5m]范围内芯样破损、不成芯，无回水、透水率＞60Lu，探测结果与钻孔揭示结果一致，误差小。通过进一步进行分析判断，缩小误差，达到项目要求的指标。", "ds_acq_start_time": "2024-07-26 00:00:00", "ds_acq_end_time": "2024-08-13 00:00:00", "ds_acq_place": "湖北省十堰市", "ds_acq_lon_east": 111.2, "ds_acq_lat_south": 31.8, "ds_acq_lon_west": 106.8, "ds_acq_lat_north": 33.2, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 20092694, "ds_files_count": 12, "ds_format": "*.txt,*.dat,*.jpg", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "3bbf2987-3947-4477-84b5-fb74f78c60f5.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "973f338d-7fd4-4c6f-aab1-44a5c242d419", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "410" ], "quality_level": 0, "publish_time": "2025-05-29 18:13:45", "last_updated": "2025-12-26 17:01:12", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI_DAM.DB6849.2025", "i18n": { "en": { "title": "The field test data of deep-seated disease detection equipment for the Taobe Reservoir dam in Hubei Province.", "ds_format": "*.txt,*.dat,*.jpg", "ds_source": "
This data was collected and interpreted on-site by the \"High Earth and Stone Dam Deep Burial Disease Detection Technology Equipment\" independently developed by Nanjing Institute of Water Resources.", "ds_quality": "
The \"High Earth and Stone Dam Deep Burial Disease Detection Technology Equipment\" developed was used to detect the Taohe Reservoir in Hubei Province. The results showed that there were anomalies within the burial depth range of [86m, 112m] at the location of pile number K0+249, and the center of the leakage disease was located at a burial depth of 99m. The disease at the location of pile number K0+249 was selected for drilling verification. The drilling core results and water pressure test results indicate that the core samples within the depth range of [89.5m, 104.5m] are damaged, unable to form cores, have no backflow, and have a permeability rate greater than 60Lu. The detection results are consistent with the drilling revealed results, with small errors. By further analyzing and judging, reducing errors, and achieving the required indicators of the project.", "ds_ref_way": "", "ds_abstract": "
This dataset is the on-site testing data of the deep buried disease detection equipment for the Taohe Reservoir dam in Hubei Province. It includes the raw data collected by the research and development equipment on site, the interpreted data calculated by the research algorithm, and the graphical data obtained by imaging the interpreted data.\n
The original data in this dataset is from field measurements, the interpreted data is obtained by inverting the apparent resistivity data based on the field measurements, and the imaging map is given different colors based on the values and positions of the apparent resistivity map to visually image the disease.\nIn the dataset, the original data is a txt file named after the survey lines set up on site, including seven files: \"L0-1\", \"L0-2\", \"L1-3\", \"L3 Level 1 Horse Road\", \"L4 Level 2 Horse Road\", \"L5 Level 3 Horse Road\", and \"L6 Level 4 Horse Road\". These files can be viewed or edited through text software, and the data in each file includes the location of the survey points (m) and the magnetic field strength (Bz). The interpreted data is a dat file, with a vertical measurement line of 1 and a horizontal measurement line of 2, including \"interpreted data 1\" and \"interpreted data 2\". Each file includes point positions and apparent resistivity values. The imaging map is a JPG file, with a vertical measurement line result of 1 and a horizontal measurement line result of 2, including \"Test Result 1\" and \"Test Result 2\". This dataset covers the entire process of on-site data collection, data interpretation, and final imaging, ultimately obtaining the distribution of apparent resistivity of the dam, visually displaying low resistance abnormal areas, and locating leakage channels.
", "ds_time_res": "", "ds_acq_place": "Shiyan City, Hubei Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Arrange the detection data (magnetic field attenuation curve) collected on site point by point in order, and then use a specially developed algorithm to interpret it as apparent resistivity data. Finally, arrange it according to coordinates and apparent resistivity values to form a map.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "病害探测", "土石坝", "数据解译" ], "ds_subject_tags": [ "工程与技术科学基础学科" ], "ds_class_tags": [], "ds_locus_tags": [ "湖北省十堰市滔河水库大坝" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "张盛行", "email": "sxzhang@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" }, { "true_name": "明攀", "email": "pming@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" }, { "true_name": "占其兵", "email": "zqb0910@163.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张盛行", "email": "sxzhang@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "汤雷", "email": "ltang@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "水文" }