雪崩灾害是发生在多雪山区的一种重大自然灾害，具有突发性、潜在性、难预测性、速度快和冲击力大等特点，严重危害山区交通网络可持续性发展。雪崩易发性评价分区和雪崩灾害预警是应对日益危险的雪崩灾害的主要方法，雪崩灾害数据正是完成评价及预警工作的重要基础数据。
\n本数据为新疆伊犁地区国道G219线沿线雪崩灾害数据，来自2023年10月至2024年4月无人机航拍及实地踏勘，结合人工识别统计雪崩灾害发生位置、雪崩范围，并通过手动绘制雪崩释放区，得到释放区位置数据。数据主要包括调查区域数字高程模型及其GIS平台处理得到的地理衍生数据。空间分辨率为1m，地理范围为44°28′00″–44°37′00″N， 80°36′00″–80°44′00″E。另外包括2023年至2024年冬季雪崩灾害数据清单。其中在释放区数据中，属性列表包含“面积”、“坡度”、“深度”、“方量”四组字段，共158条字段信息，分别对应雪崩释放区面积、释放区平均坡度、雪崩断裂深度、雪崩释放体积。该数据表中数据单位为m2、°、m、m3。", "ds_source": "
数据主要包括调查区域数字高程模型及其GIS平台处理得到的地理衍生数据，来源于无人机航拍及实地踏勘，结合人工识别统计雪崩灾害发生位置、雪崩范围，并通过手动绘制雪崩释放区得到。", "ds_process_way": "
利用平均深度方程计算得到雪崩释放区断裂深度，将数字高程模型和释放区位置数据导入RAMMS::AVALANCHE软件，得到释放区面积、释放区平均坡度、释放方量等信息。通过无人机对地形进行建模得到数字高程地形模型（DEM），将DEM导入ArcGIS软件进行分析处理，最终得到地面粗糙度、地表切割深度、地形起伏度等地形影响因素。利用设置在区域内的五座气象站获得的最大积雪深度数据，通过反距离权重插值，生成区域内部最大积雪深度分布空间插值图。
", "ds_quality": "数据质量较好。
", "ds_acq_start_time": "2023-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "新疆伊犁地区国道G219线沿线", "ds_acq_lon_east": 44.46666666666667, "ds_acq_lat_south": 80.5, "ds_acq_lon_west": 44.61666666666667, "ds_acq_lat_north": 80.73333333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 2117402021, "ds_files_count": 2, "ds_format": "*.shp,*.jpg,*.zip,*.tif", "ds_space_res": "1m", "ds_time_res": "*.shp,*.jpg,*.zip,*.tif", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "b2e85f4d-50dc-47ce-9931-5e3d37ada0a0.jpg", "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": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-03-05 09:07:58", "last_updated": "2026-05-20 10:34:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.SNOW.DB7269.2026", "i18n": { "en": { "title": "Winter avalanche disaster data set of hot spring Khorgos section of G219 line in Ili region (2023-2024)", "ds_format": "", "ds_source": "The data mainly includes geographic derived data processed by the digital elevation model of the survey area and its GIS platform, sourced from drone aerial photography and field surveys, combined with manual identification and statistical analysis of the location and range of avalanche disasters, and obtained by manually drawing the avalanche release zone.", "ds_quality": "
The data quality is good.
", "ds_ref_way": "", "ds_abstract": "Avalanche disaster is a major natural disaster that occurs in mountainous areas, characterized by suddenness, potential, unpredictability, fast speed, and strong impact, seriously endangering the sustainable development of transportation networks in mountainous areas. Avalanche susceptibility assessment zoning and avalanche disaster warning are the main methods to cope with increasingly dangerous avalanche disasters, and avalanche disaster data is an important basic data for completing evaluation and warning work.
\r\nThis data is about avalanche disasters along the G219 National Highway in Ili, Xinjiang. It was obtained from drone aerial photography and field surveys from October 2023 to April 2024, combined with manual identification and statistical analysis of the location and range of avalanche disasters. The release area was manually drawn to obtain the location data of the release area. The data mainly includes geographic derived data processed by the digital elevation model of the survey area and its GIS platform. The spatial resolution is 1m, and the geographical range is 44 ° 28 ′ 00 ″ -44 ° 37 ′ 00 ″ N, 80 ° 36 ′ 00 ″ -80 ° 44 ′ 00 ″ E. In addition, a list of winter avalanche disaster data from 2023 to 2024 is included. In the release area data, the attribute list includes four sets of fields: \"area\", \"slope\", \"depth\", and \"volume\", with a total of 158 field information corresponding to avalanche release area area, average slope of release area, avalanche fracture depth, and avalanche release volume. The data units in this data table are m2, ° m、m3。", "ds_time_res": "", "ds_acq_place": "Along the G219 National Highway in Ili, Xinjiang", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Using the average depth equation to calculate the fracture depth of the avalanche release zone, the digital elevation model and release zone location data are imported into RAMMS:: AVALANCHE software to obtain information such as the release zone area, average slope of the release zone, and release volume. By using drones to model the terrain, a digital elevation terrain model (DEM) is obtained. The DEM is then imported into ArcGIS software for analysis and processing, ultimately obtaining terrain influencing factors such as ground roughness, surface cutting depth, and terrain undulation. Using the maximum snow depth data obtained from five meteorological stations located within the region, a spatial interpolation map of the maximum snow depth distribution within the region is generated through inverse distance weight interpolation.
", "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": [ "新疆维吾尔自治区", "G219", "雪崩" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆维吾尔自治区" ], "ds_time_tags": [ 2023, 2024 ], "ds_contributors": [ { "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" } ], "ds_meta_authors": [ { "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" } ], "ds_managers": [ { "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" } ], "category": "积雪" }