该数据集系统展示了东北多年冻土区在人类工程活动（如公路、铁路、原油管道）干预下的冻害空间布局，揭示了“地带性宏观控制、廊道化微观聚集”的核心特征。主要特征包含灾害分级体系：根据分布密度和主控因素，将全区划分为“高密度工程扰动主导区”、“中等密度环境-工程耦合区”以及“低密度季节冻土背景区”。类型识别：详尽记录了路面不均匀沉降、路面裂缝、热融湖塘、冻融侵蚀、冰椎及水毁等典型工程病害。工程廊道效应：特别突出了G111、G331及中俄原油管道（CRCOP）沿线的灾害集聚态势，刻画了“叠加扰动效应”下冻土强度的急剧下降。以及微观解析：包含了漠河、根河-伊图里河、新林、黑河及加格达奇南段等五个工程枢纽的典型发育特征。\n
本数据集分类体系（栅格值 1-6）与实地调查病害类型对应如下：\n
1：热融湖塘。\n
2：路面裂缝。\n
3：冻融侵蚀。\n
4：路面不均匀沉降。\n
5：冰椎/冰化现象。\n
6：水毁。\n
注：NoData 值为 255。", "ds_source": "
自主产生，融合了多期野外科学考察记录，以及机器学习模型得到预测结果。", "ds_process_way": "
利用机器学习算法（随机森林）对多源环境因子（地温、植被、地形坡度等）进行训练分析，在得到1:10万冻害数据的基础上，进行再计算分辨率处理，从而得到数据结果。\n
实地调查：整合大兴安岭，小兴安岭等典型（漠河、塔河、根河）监测区域的长期病害记录。\n
多源融合：整合了G331、G332、G111等公路黑沥青路面“被动集热”特征以及 CRCOP 管道“主动热源”产生的融化圈数据。\n
分级刻画：\n
高密度区：锁定北部不连续多年冻土带，突出复合病害的连续性。\n
中密度区：锁定过渡带及岛状冻土区，突出斑块化与突发性。\n
低密度区：锁定季节冻土及南缘边界，突出单一的季节性冻胀开裂。", "ds_quality": "
（1）精度与覆盖面：覆盖东北全境多年冻土区。通过多源遥感解译与野外实地调查相结合的方式，确保了冻害点位置的真实性与准确性。\n
（2）致灾机理验证：数据不仅标注了灾害位置，还通过机理分析，对每种灾害类型的空间位置、致灾过程及特征进行了系统归纳。\n
（3）典型区对比分析：针对不同冻土背景选取典型工程走廊进行放大解析，验证了数据在捕捉“叠加扰动”和“局地热响应”方面的敏感性。\n
（4）适用性：该图件为区分多年冻土工程冻害与季节冻土工程病害提供了基准参考，适用于高寒地区线性工程的维护成本核算、病害治理设计及长效动态监测。", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "东北多年冻土区", "ds_acq_lon_east": 135.08333333333334, "ds_acq_lat_south": 37.2, "ds_acq_lon_west": 114.25, "ds_acq_lat_north": 53.6, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 6913593, "ds_files_count": 5, "ds_format": "*.tif", "ds_space_res": "100m", "ds_time_res": "2年", "ds_coordinate": "WGS84", "ds_projection": "WGS_1984_Albers", "ds_thumbnail": "3853c587-1a0b-4544-bec0-124647030a16.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "221ebf56-1b0b-4574-972b-1fb6d3cf1be7", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45", "170.50" ], "quality_level": 3, "publish_time": "2026-04-03 08:44:15", "last_updated": "2026-05-12 15:24:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7265.2026", "i18n": { "en": { "title": "Distribution map of freeze-thaw disasters in the 100m project in the permafrost region of Northeast China (2023-2024)", "ds_format": "*.tif", "ds_source": "
Independently generated, integrating multiple field scientific expedition records and machine learning models to obtain prediction results.", "ds_quality": "
(1) Accuracy and coverage: Covering the permafrost regions throughout Northeast China. By combining multi-source remote sensing interpretation with field investigations, the authenticity and accuracy of the location of freezing damage points have been ensured.\r\n
(2) Disaster mechanism verification: The data not only annotated the location of the disaster, but also systematically summarized the spatial location, disaster process, and characteristics of each type of disaster through mechanism analysis.\r\n
(3) Comparative analysis of typical areas: Select typical engineering corridors for enlarged analysis based on different permafrost backgrounds, and verify the sensitivity of data in capturing \"superimposed disturbances\" and \"local thermal responses\".\r\n
(4) Applicability: This map provides a benchmark reference for distinguishing frost damage in permafrost engineering from seasonal permafrost engineering diseases, and is suitable for maintenance cost accounting, disease control design, and long-term dynamic monitoring of linear engineering in high-altitude regions.", "ds_ref_way": "", "ds_abstract": "
This dataset system displays the spatial layout of frost damage in the permafrost region of Northeast China under human engineering activities such as highways, railways, and crude oil pipelines, revealing the core characteristics of \"zonal macroscopic control and corridor microscopic aggregation\". The main features include a disaster classification system: based on distribution density and main control factors, the entire area is divided into \"high-density engineering disturbance dominant zone\", \"medium density environment engineering coupling zone\", and \"low-density seasonal frozen soil background zone\". Type identification: Detailed records of typical engineering diseases such as uneven pavement settlement, pavement cracks, hot melt lakes and ponds, freeze-thaw erosion, ice cones, and water damage. Engineering corridor effect: It particularly highlights the disaster aggregation trend along G111, G331, and the China Russia crude oil pipeline (CRCOP), depicting the sharp decrease in frozen soil strength under the \"superposition disturbance effect\". And micro analysis: including the typical development characteristics of five engineering hubs, namely Mohe, Genhe Ituli River, Xinlin, Heihe, and the southern section of Gagdachi.\r\n
The classification system of this dataset (grid values 1-6) corresponds to the types of diseases investigated in the field as follows:\r\n
1: Hot melt lake pond.\r\n
2: Road cracks.\r\n
3: Freeze thaw erosion.\r\n
4: Uneven settlement of road surface.\r\n
5: Ice cone/ice melting phenomenon.\r\n
6: Water destroyed.\r\n
Note: The NoData value is 255.", "ds_time_res": "", "ds_acq_place": "Northeast Permafrost Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Using machine learning algorithms (random forest) to train and analyze multiple environmental factors (such as ground temperature, vegetation, terrain slope, etc.), and based on the 1:100000 freezing damage data obtained, perform further resolution processing to obtain the data results.\r\n
Field investigation: Integrate long-term disease records from typical monitoring areas such as Mohe, Tahe, and Genhe in the Greater Khingan Range and Lesser Khingan Range.\r\n
Multi source fusion: integrates the \"passive heat collection\" characteristics of black asphalt pavement on highways such as G331, G332, G111, as well as the melting circle data generated by the \"active heat source\" of CRCOP pipeline.\r\n
Graded characterization:\r\n
High density zone: Lock in the discontinuous permafrost zone in the north, highlighting the continuity of composite diseases.\r\n
Medium density zone: Locking the transition zone and island shaped frozen soil area, highlighting patchy and sudden changes.\r\n
Low density area: Lock in seasonal frozen soil and the southern boundary, highlighting a single seasonal frost heave cracking.", "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, "ds_topic_tags": [ "工程冻融灾害", "线性工程廊道", "差异性融沉", "中俄原油管道(CRCOP)" ], "ds_subject_tags": [ "地理学", "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "东北多年冻土区" ], "ds_time_tags": [ 2023, 2024 ], "ds_contributors": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "唐建军", "email": "jianjuntang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王文辉", "email": "wangwenhui@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "金晓颖", "email": "xyj@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李善珍", "email": "lsz@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "黄帅", "email": "s_hwang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "陈敦", "email": "chendun@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "王宏伟", "email": "wanghw@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "杨岁桥", "email": "yangsuiqiao@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李祖旺", "email": "lzwang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "燕翱翔", "email": "yanaoxiang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "程耀辉", "email": "yhcheng@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "李景涛", "email": "ljtao@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张泽", "email": "zez@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王立峰", "email": "9431629@qq.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张虎", "email": "zhanghu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "刘萌心", "email": "liumengxin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "张圣嵘", "email": "zhangshengrong@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "杨雪", "email": "yangx014@nenu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "刘子瑞", "email": "lzr@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "岳子颖", "email": "zyyue@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "吴海彬", "email": "haibinwu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "邢鲁宁", "email": "18363701763@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "陈思宇", "email": "chensy@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "徐景妍", "email": "JingyanXu@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "何峥雲", "email": "yunhardworking@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "米虹岐", "email": "mimhq07@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "彭文昊", "email": "Pengwh@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "梁峻贺", "email": "liangjh@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "史艳玲", "email": "15247298387@163.com", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "周智熠", "email": "v1ncentharrious@outlook.com", "work_for": "东北林业大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "唐建军", "email": "jianjuntang@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" }, { "true_name": "王文辉", "email": "wangwenhui@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" } ], "ds_managers": [ { "true_name": "金会军", "email": "hjjin@nefu.edu.cn", "work_for": "东北林业大学", "country": "中国" } ], "category": "灾害" }