{
    "created": "2026-03-04 14:36:58",
    "updated": "2026-06-02 19:05:28",
    "id": "9e4ea567-0cc4-41ee-96cb-bbd117471af2",
    "version": 32,
    "ds_topic": null,
    "title_cn": "G219线温泉至霍尔果斯交通廊道雪崩灾害数据集（2024-2025年）",
    "title_en": "Avalanche disaster data set of G219 hot spring Khorgos traffic corridor (2024-2025)",
    "ds_abstract": "<p>&emsp;&emsp;G219国道温泉至霍尔果斯公路段位于中国天山地区，冬季降雪量大，雪崩灾害频繁，亟需开展沿线雪崩灾害数据调研与分析。本数据雪崩数据来自于2024-2025年无人机航拍，通过对无人机航拍记录雪崩发生形成区、运动状态、运动范围、堆积形态以及雪崩发生的具体位置，结合视频监测站拍摄数据获取雪崩发生的时刻，利用在区域内设置的处气象站得到风速、风向、温度等气象因子，并绘制出区域内风玫瑰图。",
    "ds_source": "<p>&emsp;&emsp;本数据源于无人机航测、视频影像监测、气象观测站定点采集、积雪物理力学特性观测等。",
    "ds_process_way": "<p>&emsp;&emsp;根据拍摄时记录的点位，结合奥维地图软件和区域正射影像判断雪崩发生的具体位置，并将其按照拍摄时间进行排序。人工筛选出不同类型雪崩，包括坡面型、沟槽型、板状雪崩等，不同类型雪崩灾害的根本区别在于其失稳的主导机制、运动过程与运动路径差异、堆积形态差异。<p>&emsp;&emsp;利用训练好的模型对图片进行逐帧的目标检测，通过轨迹关联判断是否为雪崩，当模型置信度超过阈值时，将雪崩发生前后最能显示雪崩全貌的2-4张高清图片序列单独保存。<p>&emsp;&emsp;通过与周边站点的对比分析，对气象数据进行质量检查，检测并修正可能存在的测量偏差，并使用一致性检查法识别出温度或降雪量异常偏离其他气象站的数值，确保数据的合理性及雪崩灾害评价分析准确性。<p>&emsp;&emsp;现场观测的原始数据首先经过质量控制和清洗，剔除因仪器瞬态故障或极端环境干扰导致的异常值，对积雪质量、剪切值、雪层温度等求平均值。",
    "ds_quality": "<p>&emsp;&emsp;视频监测图像按预设时序自动采集，质量控制过程中确保图像在空间精度、时序连续性与视觉可解译性方面满足雪崩灾害分析要求，数据质量良好。",
    "ds_acq_start_time": "2024-01-01 00:00:00",
    "ds_acq_end_time": "2025-12-31 00:00:00",
    "ds_acq_place": "G219国道温泉至霍尔果斯公路段",
    "ds_acq_lon_east": 80.5,
    "ds_acq_lat_south": 44.46666666666667,
    "ds_acq_lon_west": 80.73333333333333,
    "ds_acq_lat_north": 44.61666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 3225867406,
    "ds_files_count": 2,
    "ds_format": "*.jpg,*.csv,*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "9e4ea567-0cc4-41ee-96cb-bbd117471af2.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "0931-4967592",
    "ds_serv_mail": "lihongxing@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2026-03-04 15:08:31",
    "last_updated": "2026-05-20 10:21:40",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.SNOW.DB7295.2026",
    "i18n": {
        "en": {
            "title": "Avalanche disaster data set of G219 hot spring Khorgos traffic corridor (2024-2025)",
            "ds_format": "*.jpg,*.csv,*.xlsx",
            "ds_source": "<p>&emsp;This data is sourced from unmanned aerial vehicle surveys, video image monitoring, fixed-point collection by meteorological observation stations, and observations of the physical and mechanical properties of snow cover.",
            "ds_quality": "<p>&emsp;The video monitoring images are automatically collected according to the preset timing, and the quality control process ensures that the images meet the requirements of avalanche disaster analysis in terms of spatial accuracy, temporal continuity, and visual interpretability, with good data quality.",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;The Wenquan Khorgos Highway section of G219 National Highway is located in the Tianshan Mountains of China, with heavy snowfall in winter and frequent avalanche disasters. It is urgent to carry out data research and analysis on avalanche disasters along the line. This avalanche data comes from drone aerial photography from 2024-2025. By recording the formation area, motion state, motion range, accumulation form, and specific location of the avalanche through drone aerial photography, and combining with video monitoring station shooting data to obtain the time of the avalanche occurrence, meteorological factors such as wind speed, direction, and temperature are obtained using gas stations set up in the area, and a wind rose map is drawn in the area.",
            "ds_time_res": "",
            "ds_acq_place": "Wenquan Khorgos Highway Section of National Highway G219",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Based on the recorded points during shooting, combined with the Ovi map software and regional orthophoto, determine the specific location of the avalanche and sort it according to the shooting time. Artificially selecting different types of avalanches, including slope type, groove type, and plate type avalanches, the fundamental difference between different types of avalanche disasters lies in their dominant mechanisms of instability, differences in movement processes and paths, and differences in accumulation forms. <p>&emsp; &emsp; Use a trained model to perform frame by frame object detection on images, and determine whether it is an avalanche through trajectory correlation. When the confidence level of the model exceeds the threshold, save the 2-4 high-definition image sequences that best display the full picture of the avalanche before and after it occurs separately. <p>&emsp;By comparing and analyzing with surrounding stations, quality checks are conducted on meteorological data to detect and correct possible measurement deviations. Consistency checks are used to identify abnormal deviations in temperature or snowfall values from other meteorological stations, ensuring the rationality of data and the accuracy of avalanche disaster assessment analysis. <p>&emsp;The raw data observed on site is first subjected to quality control and cleaning, removing outliers caused by instrument transient faults or extreme environmental interference, and taking the average of snow mass, shear value, snow layer temperature, etc.",
            "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": [
        "公路雪崩",
        "无人机航测",
        "视频监测",
        "气象观测",
        "积雪特性"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国天山地区"
    ],
    "ds_time_tags": [
        2024,
        2025
    ],
    "ds_contributors": [
        {
            "true_name": "昝鹏伟",
            "email": "zpw020715@163.com",
            "work_for": "新疆农业大学  交通与物流工程学院",
            "country": "中国"
        },
        {
            "true_name": "赵静",
            "email": "vwv1175@126.com",
            "work_for": "新疆交通科学研究院有限责任公司  科技创新研究院",
            "country": "中国"
        },
        {
            "true_name": "郭强",
            "email": "18315036622@163.com",
            "work_for": "新疆维吾尔自治区交通建设事务中心  新疆维吾尔自治区交通建设事务中心",
            "country": "中国"
        },
        {
            "true_name": "王明珠 ",
            "email": "15037890141@163.com",
            "work_for": "新疆农业大学  交通与物流工程学院",
            "country": "中国"
        },
        {
            "true_name": "孙锡亮",
            "email": "1051858832@qq.com",
            "work_for": "新疆交通科学研究院有限责任公司  科技创新研究院",
            "country": "中国"
        },
        {
            "true_name": "刘杰",
            "email": "hfutliujie@163.com",
            "work_for": "新疆交通规划勘察设计研究院有限公司",
            "country": "中国"
        },
        {
            "true_name": "王斌",
            "email": "wangbin13245@126.com",
            "work_for": "新疆交通科学研究院有限责任公司  科技创新研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "赵静",
            "email": "vwv1175@126.com",
            "work_for": "新疆交通科学研究院有限责任公司  科技创新研究院",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "赵静",
            "email": "vwv1175@126.com",
            "work_for": "新疆交通科学研究院有限责任公司  科技创新研究院",
            "country": "中国"
        }
    ],
    "category": "积雪"
}