{ "created": "2024-05-21 10:57:20", "updated": "2026-05-09 09:08:15", "id": "59cf000a-2956-4faf-874a-bf0871870bf7", "version": 6, "ds_topic": null, "title_cn": "中巴经济走廊冰湖溃决洪水事件数据集（2010-2022年）", "title_en": "GLOFs inventory of CPEC", "ds_abstract": "

  本数据集基于历史冰湖灾害资料，基于Landsat、Sentinel、Planet等中高分遥感卫星影像，依据冰湖面积、湖泊沉积，溃口、残留坝体、洪水冲刷与堆积等特征，校验研究区历史冰湖灾害资料的真实性与可靠性。借助遥感技术与平台提取冰湖面积、水量、坝体、影响范围等相关参数，修正或补充事件资料，完善研究区历史冰湖灾害数据库。2010年来中巴经济走廊共发生19次溃决事件。本次冰湖溃决洪水数据集为中巴经济走廊地区防灾减灾、冰湖溃决洪水评价、冰湖水文研究提供了基础数据。\n

  数据集命名：GLOFsCPECSince2010.Shp\n

  属性信息：\n

  IDs: 冰湖的编码\n

  Name: 溃决的冰湖名称\n

  Longitude:冰湖中心点经度 (°)\n

  Latitude: 冰湖中心点纬度 (°)\n

  Elevation: 冰湖平均海拔 (m)\n

  Dam: 冰湖的坝体类型\n

  Date_of_outburst: 冰湖溃决日期\n

  Loss_damage: GLOF对下游承载体的损毁\n

  Reference: 参考资料\n

  Area_before_outburst: 冰湖溃决前面积 (km2)\n

  Recent_area: 最近冰湖面积 (km2)", "ds_source": "

  1. Landsat陆地卫星影像数据：从美国地质调查局网站(https://www.usgs.gov/) 和地理空间数据云(http://www.gscloud.cn/) 下载。\n

  2. Sentinel-2卫星影像数据：从欧空局(https://dataspace.copernicus.eu/) 下载。\n

  3. DEM数据：空间分辨率为1″的SRTM DEM数据，下载地址:http://imagico.de/map/demsearch.php 。\n

  4. 中巴经济走廊历史冰湖灾害数据\n

  Nie, Y. et al., 2023. Glacial lake outburst floods threaten Asia's infrastructure. Sci. Bull., 68: 1361-1365.\n

  Zheng, G., 2021. Numerous unreported glacial lake outburst floods in the Third Pole revealed by high-resolution satellite data and geomorphological evidence. Sci. Bull., 66:1270-1273.\n

  Veh, G., 2019. Unchanged frequency of moraine-dammed glacial lake outburst floods in the Himalaya. Nat. Clim. chang., 5(9): 379-3838.", "ds_process_way": "

  1. 历史灾害资料的收集和筛选：从多种渠道收集中巴经济走廊历史GLOF事件，筛选2010年来爆发的事件。\n

  2. 灾害事件的验证：Landsat和Sentinel-2卫星图像的假彩色合成，基于Landsat、Sentinel等中高分遥感卫星影像，依据冰湖面积、湖泊沉积，溃口、残留坝体、洪水冲刷与堆积等特征，检验收集到的GLOF事件的可靠性。\n

  3. 参数提取：借助遥感技术与平台提取冰湖面积、水量、坝体、影响范围等相关参数，修正或补充事件资料，完善研究区历史冰湖灾害数据库\n

  4. 交互检查和质量控制：通过交互检查进一步检验事件的可靠性。", "ds_quality": "

  冰湖溃决洪水事件经过严格的质量控制，且每个事件均有对应的证据，可靠度优于95%。", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "中巴经济走廊北部高山高海拔区，中巴公路喀什至塔科特段沿途全部内流流域", "ds_acq_lon_east": 77.75, "ds_acq_lat_south": 34.5, "ds_acq_lon_west": 72.5, "ds_acq_lat_north": 40.25, "ds_acq_alt_low": 240.0, "ds_acq_alt_high": 8560.0, "ds_share_type": "login-access", "ds_total_size": 38123, "ds_files_count": 9, "ds_format": "shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "59cf000a-2956-4faf-874a-bf0871870bf7.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2024-06-07 16:55:17", "last_updated": "2025-12-08 17:33:26", "protected": true, "protected_to": "2026-06-07 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6503.2024", "i18n": { "en": { "title": "GLOFs inventory of CPEC", "ds_format": "shp", "ds_source": "

    1. Landsat land satellite imagery data: from the website of the United States Geological Survey（ https://www.usgs.gov/ ）Geospatial Data Cloud（ http://www.gscloud.cn/ ）Download.\n

    2. Sentinel-2 satellite imagery data: from the European Space Agency（ https://dataspace.copernicus.eu/ ）Download.\n

    3. DEM data: SRTM DEM data with a spatial resolution of 1 \", download link: http://imagico.de/map/demsearch.php .\n

    4. Historical Ice Lake Disaster Data of China Pakistan Economic Corridor\n

    Nie, Y. et al., 2023. Glacial lake outburst floods threaten Asia's infrastructure. Sci. Bull., 68: 1361-1365.\n

    Zheng, G., 2021. Numerous unreported glacial lake outburst floods in the Third Pole revealed by high-resolution satellite data and geomorphological evidence. Sci. Bull., 66:1270-1273.\n

    Veh, G., 2019. Unchanged frequency of moraine-dammed glacial lake outburst floods in the Himalaya. Nat. Clim. chang., 5(9): 379-3838.", "ds_quality": "

    The glacial lake outburst flood event has undergone strict quality control, and each event has corresponding evidence, with a reliability of over 95%.", "ds_ref_way": "", "ds_abstract": "

    This dataset is based on historical glacial lake disaster data, using Landsat, Sentinel, Planet and other high-resolution remote sensing satellite images. Based on the characteristics of glacial lake area, lake sedimentation, breaches, residual dam bodies, flood erosion and accumulation, the authenticity and reliability of historical glacial lake disaster data in the study area are verified. Using remote sensing technology and platforms to extract relevant parameters such as glacial lake area, water volume, dam body, and impact range, and to revise or supplement event data to improve the historical glacial lake disaster database in the research area. Since 2010, there have been a total of 19 incidents of collapse in the China Pakistan Economic Corridor. The dataset of glacial lake outburst floods provides basic data for disaster prevention and mitigation, glacial lake outburst flood evaluation, and glacial lake hydrological research in the China Pakistan Economic Corridor region.\n

    Dataset Name: GLOFsCPECSInce2010.Shp\n

    Attribute information:\n

    IDs: Encoding of Ice Lake\n

    Name: The name of the collapsed glacial lake\n

    Longitude: Longitude of the center point of the glacial lake (°)\n

    Latitude: Latitude of the center point of the glacial lake (°)\n

    Elevation: Average elevation of glacial lake (m)\n

    Dam: Types of dam bodies in glacial lakes\n

    Date_of_outburst: Ice Lake Collapse Date\n

    Loss_damage: GLOF's damage to downstream carriers\n

    Reference: Reference materials\n

    Area_foot_outburst: Area before glacial lake outburst (km2)\n

    Recent'area: Recent glacial lake area (km2)

", "ds_time_res": "", "ds_acq_place": "The high mountain and high-altitude areas in the northern part of the China Pakistan Economic Corridor, along the Kashgar to Takote section of the China Pakistan Highway, all flow into the river basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "

    1. Collection and screening of historical disaster data: Collect GLOF events in the China Pakistan Economic Corridor from various channels and screen for events that have occurred since 2010.\n

    2. Verification of disaster events: False color synthesis of Landsat and Sentinel-2 satellite images, based on Landsat, Sentinel and other high-resolution remote sensing satellite images, using characteristics such as glacial lake area, lake sedimentation, breaches, residual dam bodies, flood erosion and accumulation, to verify the reliability of the collected GLOF events.\n

    3. Parameter extraction: Using remote sensing technology and platforms to extract relevant parameters such as glacial lake area, water volume, dam body, and impact range, correcting or supplementing event data, and improving the historical glacial lake disaster database in the research area\n

    4. Interaction inspection and quality control: Further verify the reliability of events through interaction inspection.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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": [ "冰湖溃决洪水", "中巴经济走廊" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中巴经济走廊" ], "ds_time_tags": [ 2010, 2022 ], "ds_contributors": [ { "true_name": "吴宇宏", "email": "wyh@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "聂勇", "email": "nieyong@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "勒斯木初", "email": "lsmc@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴宇宏", "email": "wyh@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "聂勇", "email": "nieyong@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "勒斯木初", "email": "lsmc@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" }, { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "韩立钦", "email": "hanliqin@lzb.ac.cn", "work_for": "河南师范大学", "country": "中国" } ], "category": "其他" }