{
    "created": "2026-05-20 15:39:33",
    "updated": "2026-06-04 06:53:10",
    "id": "1ba240d5-9066-4a78-9133-2159bbd72a72",
    "version": 2,
    "ds_topic": null,
    "title_cn": "黄土地质灾害主动防控理论研究科学数据集",
    "title_en": "Scientific data set for theoretical research on active prevention and control of loess geological disasters",
    "ds_abstract": "<p>&emsp;&emsp;本数据围绕黄土主动防控理论研究需要展开，旨在研究黄土斜坡地质灾害的成因机理，突破制约区域可持续发展的关键瓶颈。综合采用室内试验、原位监测与理论分析等方法，监测并获取了黄土斜坡地质灾害发育过程中水分场、位移场和应力场的演化过程，为开展黄土斜坡地质灾害防控理论与技术研究提供了重要的数据支撑。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集中的数据主要通过室内模拟和原位监测获取。内容主要为黄土斜坡失稳过程中坡体内部水分场、应力场、温度场和变形场的演进过程。主要包括以下几部分内容：1. 斜坡降雨模拟实验：使用Fullet降雨模拟设备，在太原理工大学岩土实验室内完成，模拟不同雨强与历时条件下黄土斜坡的水文响应与破坏过程。2. 斜坡开挖离心模拟实验：在成都理工大学离心实验机上开展，通过高重力场环境模拟边坡开挖后的应力重分布与变形特性。3. 毛细水上升高度试验：采用自主研发的毛细水上升高度模拟装置，在太原理工大学岩土实验室内测定黄土中毛细水的运移规律及其对坡脚软化的影响。4. 原位监测试验数据：监测地点位于山西省吕梁市临县典型黄土边坡，通过在坡体内部预埋传感器阵列，对坡体变形、温度等多场参数进行长期连续监测，获取自然环境下坡体响应的真实时序数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;室内试验、原位监测与理论分析。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好。</p>",
    "ds_acq_start_time": "2023-04-05 00:00:00",
    "ds_acq_end_time": "2025-08-20 00:00:00",
    "ds_acq_place": "黄土高原",
    "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": "apply-access",
    "ds_total_size": 284290,
    "ds_files_count": 0,
    "ds_format": "*.excel",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "1ba240d5-9066-4a78-9133-2159bbd72a72.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": "",
    "organization_id": "bf138922-7121-438c-8d1b-19d5f751c907",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "10.12072/ncdc.loess.db7399.2026",
    "subject_codes": [
        "170.45",
        "170.50"
    ],
    "quality_level": 0,
    "publish_time": "2026-06-04 11:36:43",
    "last_updated": "2026-06-04 11:36:43",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.loess.db7399.2026",
    "i18n": {
        "en": {
            "title": "Scientific data set for theoretical research on active prevention and control of loess geological disasters",
            "ds_format": "*.excel",
            "ds_source": "<p>&emsp;The data in this dataset were primarily obtained through laboratory simulations and in-situ monitoring. The content mainly focuses on the evolutionary processes of the moisture field, stress field, temperature field, and deformation field within loess slopes during instability. It mainly contains the following components: 1. Slope Rainfall Simulation Experiment: Conducted using Fullet rainfall simulation equipment in the Geotechnical Laboratory of Taiyuan University of Technology. This experiment simulates the hydrological response and failure processes of loess slopes under different rainfall intensities and durations. 2. Slope Excavation Centrifugal Simulation Experiment: Carried out on a centrifuge testing machine at Chengdu University of Technology. This experiment simulates the stress redistribution and deformation characteristics of slopes after excavation under a high-gravity field environment. 3. Capillary Water Rise Height Test: Performed using a self-developed capillary water rise height simulation device in the Geotechnical Laboratory of Taiyuan University of Technology. This test measures the migration patterns of capillary water in loess and its impact on toe softening. 4. In-situ Monitoring Test Data: The monitoring site is located at a typical loess slope in Linxian County, Lüliang City, Shanxi Province. By embedding sensor arrays within the slope body, long-term continuous monitoring of deformation, temperature, and other multi-field parameters was conducted to obtain times series data of slope responses under natural environmental conditions.",
            "ds_quality": "<p>&emsp; &emsp; Good data quality.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;This dataset is developed to support theoretical research on the proactive prevention and control of loess-related hazards, aiming to investigate the causative mechanisms of geological disasters on loess slopes and address key bottlenecks that constrain regional sustainable development. By integrating methods such as laboratory experiments, in-situ monitoring, and theoretical analysis, the dataset captures the evolutionary processes of the moisture field, displacement field, and stress field during the development of loess slope disasters. It provides essential data support for advancing theoretical and technological research on the prevention and control of loess slope geological hazards.",
            "ds_time_res": "",
            "ds_acq_place": "Loess Plateau",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Indoor testing, in-situ monitoring, and theoretical analysis.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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,
    "belong_to_nieer": false,
    "ds_topic_tags": [
        "黄土斜坡",
        "地质灾害",
        "成生机理"
    ],
    "ds_subject_tags": [
        "地理学",
        "地质学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄土高原"
    ],
    "ds_time_tags": [
        2023,
        2024,
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "李彦荣",
            "email": "li.dennis@hotmail.com",
            "work_for": "太原理工大学",
            "country": "中国"
        },
        {
            "true_name": "何晟迪",
            "email": "heshengdi@tyut.edu.cn",
            "work_for": "太原理工大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "何晟迪",
            "email": "heshengdi@tyut.edu.cn",
            "work_for": "太原理工大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "何晟迪",
            "email": "heshengdi@tyut.edu.cn",
            "work_for": "太原理工大学",
            "country": "中国"
        }
    ],
    "category": "灾害"
}