该数据为研究团队基于pygimli及pybert环境对原始视电阻率数据进行时序反演的空间电阻率分布数据集，通过奇异值筛除、地形因子计算和时序反演计算等步骤最终将不同时间段测量视电阻率数据反演计算真实电阻率数据，以.vtk格式文件储存。\n
采用Origin制图，数据来源于含水率电导汇总，获得降雨试验全过程探坑K1-K4含水率数据。\n
使用RMS评价反演数据质量，在反演过程中删除误差极大数据，直至RMS低于5%为止。
", "ds_source": "基于pygimli及pybert环境对原始视电阻率数据进行时序反演的空间电阻率。
", "ds_process_way": "采用Origin制图，数据来源于含水率电导汇总，获得降雨试验全过程探坑K1-K4含水率数据。
", "ds_quality": "使用RMS评价反演数据质量，在反演过程中删除误差极大数据，直至RMS低于5%为止。
", "ds_acq_start_time": "2020-08-01 00:00:00", "ds_acq_end_time": "2020-08-31 00:00:00", "ds_acq_place": "甘肃省天水市罗玉沟流域", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1387626, "ds_files_count": 2, "ds_format": ".vtk", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "382d2961-b896-49ed-9b53-f208f669930a.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "3e397ebe-36ab-4e95-9b1b-dfce93031c18", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.LANDSLIDE.db2076.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-20 09:29:52", "last_updated": "2025-05-28 11:48:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.LANDSLIDE.db2076.2022", "i18n": { "en": { "title": "Dataset of Temporal Evolution of Resistivity for Slope during Rainfall Process in Luoyu Gully Basin, Tianshui City, Gansu Province (August 2020)", "ds_format": ".vtk", "ds_source": "Spatial resistivity obtained through temporal inversion of original apparent resistivity data based on the pygimli and pybert environments.
", "ds_quality": "RMS was used to evaluate the quality of the inverted data. During the inversion process, data with extremely large errors was removed until the RMS was below 5%.
", "ds_ref_way": "", "ds_abstract": "This dataset represents the spatial resistivity distribution obtained through temporal inversion of original apparent resistivity data based on the pygimli and pybert environments by the research team. The apparent resistivity data measured at different time periods were finally inverted to calculate true resistivity data through steps such as singular value elimination, topographic factor calculation, and temporal inversion calculation, and stored in .vtk format files.
\nOrigin software was used for mapping, and the data was sourced from a summary of water content conductivity to obtain water content data for exploration pits K1-K4 throughout the entire rainfall experiment process.
\nRMS was used to evaluate the quality of the inverted data, and data with extremely large errors were removed during the inversion process until the RMS was below 5%.
", "ds_time_res": "", "ds_acq_place": "Luoyugou watershed, Tianshui City, Gansu Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Maps were created using Origin software, with data sourced from a summary of water content conductivity. This allowed for the obtainment of water content data for exploration pits K1-K4 throughout the entire rainfall experiment process.
", "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": [ "电阻层析成像", "反演电阻率", "奇异值", "pygimli" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省天水市罗玉沟流域" ], "ds_time_tags": [ 2020 ], "ds_contributors": [ { "true_name": "曾润强", "email": "zengrq@lzu.edu.cn", "work_for": "兰州大学地质科学与矿产资源学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "曾润强", "email": "zengrq@lzu.edu.cn", "work_for": "兰州大学地质科学与矿产资源学院", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "其他" }