气候变暖进一步加速了多年冻土的退化，从而对多年冻土地区内人口及基础设施的稳定性产生了不同程度的威胁。已有一些研究关注到多年冻土退化造成的潜在风险和经济损失，但这些研究通常限于青藏高原和阿拉斯加等特定地区，其输入变量的时空分辨率的局限性也在一定程度上对量化多年冻土退化造成了一些不确定性。以1km分辨率的多年冻土区活动层厚度为基础；综合目前地下冰含量的数据，获取了沉降指数（Is），用于多年冻土区的风险评估指标之一。
", "ds_source": "北半球多年冻土区1km的活动层厚度，以及多年冻土体积含冰量，其它相关数据请参考Jin et al., 2024.
", "ds_process_way": "沉降指数（Is）的计算方法如式所示：Is=deta(ALT)*V ice， 其中，是活动层厚度的相对增加的百分比(相对于历史时期2000-2014年的平均值)， 是地下冰含量。
", "ds_quality": "数据质量良好", "ds_acq_start_time": "2015-01-01 00:00:00", "ds_acq_end_time": "2100-12-31 00:00:00", "ds_acq_place": "北半球", "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": "login-access", "ds_total_size": 71376277803, "ds_files_count": 2, "ds_format": "netcdf格式", "ds_space_res": "1000", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "6d73f626-3a93-44f0-a180-e36062e4bace.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9de89acc-5714-4927-aba3-ac88067dff8a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-03-01 11:56:41", "last_updated": "2025-04-29 16:16:43", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6391.2024", "i18n": { "en": { "title": "Dataset of Settlement Index under Future Climate Scenarios in Permafrost Regions of the Northern Hemisphere (2015-2100)", "ds_format": "netcdf", "ds_source": "
The active layer thickness of 1km in the permafrost region of the northern hemisphere, as well as the volume ice content of permafrost, please refer to Jin et al., 2024 for other relevant data
", "ds_quality": "Good data quality", "ds_ref_way": "", "ds_abstract": "
Climate change has further accelerated the degradation of permafrost, posing varying degrees of threats to the stability of population and infrastructure in permafrost regions. Some studies have focused on the potential risks and economic losses caused by permafrost degradation, but these studies are usually limited to specific regions such as the Qinghai Tibet Plateau and Alaska, and the limitations of the spatiotemporal resolution of their input variables have also caused some uncertainty in quantifying permafrost degradation. Based on the thickness of the active layer in permafrost regions with a resolution of 1km; Based on the current data on underground ice content, the settlement index (Is) has been obtained as one of the risk assessment indicators for permafrost regions.
", "ds_time_res": "", "ds_acq_place": "the Northern Hemisphere", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "The calculation method of the subsidence index (Is) is shown in the formula: Is=deta (ALT) * V ice, where is the percentage of relative increase in the thickness of the active layer (relative to the average value of the historical period from 2000 to 2014), and is the underground ice content.
", "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": [ "冻土" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北半球" ], "ds_time_tags": [ 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100 ], "ds_contributors": [ { "true_name": "彭小清", "email": "pengxq@lzu.edu.cn", "work_for": "兰州大学资源环境学院 ", "country": "中国" }, { "true_name": "金浩东", "email": "jinhd20@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "赵国辉", "email": "zhgh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "彭小清", "email": "pengxq@lzu.edu.cn", "work_for": "兰州大学资源环境学院 ", "country": "中国" }, { "true_name": "金浩东", "email": "jinhd20@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "彭小清", "email": "pengxq@lzu.edu.cn", "work_for": "兰州大学资源环境学院 ", "country": "中国" }, { "true_name": "金浩东", "email": "jinhd20@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "水文" }