2017年6月在陕西省延安市宝塔区气象站西南侧斜坡布置了一条高密度电法剖面和多个传感器测点，建立了一套较为完整的降雨入渗观测系统，开展长期现场监测。降雨入渗监测系统由供电及网络子系统、传感器子系统、数据中心子系统、高密度电法子系统和监控子系统构成。高密度电法设备主要由电脑、工况主机、连接线、采集盒以及电极组成。
\n目前此套装置安装的电法设备采集盒数量为10，每个采集盒装有8个电极，总共有80个电极。安装时电极剖面垂直于斜坡边缘，按平距0.5米的间距安装，在坡上平台处装有电极27个，其余依次装在斜坡上。通过高密度电法实现斜坡水文过程的长期监测。由监测数据反演为电阻率数据。
", "ds_source": "通过高密度电法实现斜坡水文过程的长期监测。
", "ds_process_way": "数据为原始监测数据，未进行加工处理。
", "ds_quality": "监测设备的安置和操作符合工作规范和操作规程，取得的原始数据真实可靠。
", "ds_acq_start_time": "2017-06-25 00:00:00", "ds_acq_end_time": "2020-07-30 00:00:00", "ds_acq_place": "陕西省延安市", "ds_acq_lon_east": 110.5461111111111, "ds_acq_lat_south": 35.345, "ds_acq_lon_west": 107.65444444444445, "ds_acq_lat_north": 37.49777777777778, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 43520314, "ds_files_count": 2, "ds_format": "txt", "ds_space_res": null, "ds_time_res": "秒", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "77f34832-6af6-4631-8ece-f5206b0f78c3.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.db2065.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-20 09:30:33", "last_updated": "2025-05-28 11:38:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.LANDSLIDE.db2065.2022", "i18n": { "en": { "title": "Moisture Infiltration Monitoring Data for Loess Slopes in Yan'an City, Shaanxi Province (June 2017 - July 2020)", "ds_format": "txt", "ds_source": "Achieving long-term monitoring of slope hydrological processes through high-density electrical methods.
", "ds_quality": "The installation and operation of the monitoring equipment comply with work specifications and operating procedures, ensuring that the obtained raw data is true and reliable.
", "ds_ref_way": "", "ds_abstract": "In June 2017, a high-density electrical resistivity tomography (ERT) profile and multiple sensor measurement points were arranged on the slope to the southwest of the meteorological station in Baota District, Yan'an City, Shaanxi Province. A relatively complete rainfall infiltration observation system was established to conduct long-term field monitoring. The rainfall infiltration monitoring system consists of a power supply and network subsystem, a sensor subsystem, a data center subsystem, a high-density electrical method subsystem, and a monitoring subsystem. The high-density electrical equipment mainly comprises a computer, a working condition host, connecting cables, acquisition boxes, and electrodes.
\nCurrently, this system is equipped with 10 acquisition boxes for electrical equipment, each containing 8 electrodes, totaling 80 electrodes. During installation, the electrode profile was perpendicular to the slope edge and installed at a horizontal distance of 0.5 meters apart. A total of 27 electrodes were installed on the upper platform of the slope, and the rest were installed on the slope in sequence. Long-term monitoring of the hydrological processes on the slope was achieved through high-density electrical methods. The monitoring data was inverted to obtain resistivity data.
", "ds_time_res": "秒", "ds_acq_place": "Yan'an City, Shaanxi Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data provided are original monitoring data without any processing or modification.
", "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": [ "黄土", "水分入渗", "斜坡稳定" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "陕西省延安市" ], "ds_time_tags": [ 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "孙萍萍", "email": "58397809@qq.com", "work_for": "中国地质调查局西安地质调查中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "孙萍萍", "email": "58397809@qq.com", "work_for": "中国地质调查局西安地质调查中心", "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": "水文" }