{
    "created": "2025-06-25 09:10:40",
    "updated": "2026-04-12 20:34:39",
    "id": "1b734803-9566-4055-8d10-4be2c04ed7bf",
    "version": 6,
    "ds_topic": null,
    "title_cn": "全球事件驱动型泥石流拦截坝数据集（1800-2023年）",
    "title_en": "Global event driven debris flow interception dam dataset (1800-2023)",
    "ds_abstract": "<p>本数据集包含6个类别和38个属性，详细描述了DFBD事件。该数据集记录了基本信息（位置、形成日期等）、坝体特征（高度、长度、体积等）、湖泊特征（面积、容量、长度）、泥石流特征（速度、流量、体积等）、溃坝特征（峰值流量、人员伤亡等）以及气候特征（降水量和温度）数据集表明，DFBDs具有不稳定性、完全堵塞和漫溢失效等关键特征。尤其在中国，此类水坝的数量显著增加，共有15%的河道出现反复泥石流，导致的DFBDs占所有DFBDs的35%。进一步分析表明，在DFBD稳定性评估中，应优先使用Ls（AHV）模型，其次为DBI模型。与其他障碍坝数据集相比，本数据集更具针对性，强调对原始数据的审查，并强调术语和概念（即堵塞模式和稳定性）的统一，以确保数据的一致性和准确性。本研究中的数据集和结果可能有助于加深对DFBD形成、分布和演化的理解。</p>",
    "ds_source": "<p>数据来源共计 2519 个，主要包括同行评审的科学文献、政府机构发布的数据、专业会议论文集和权威新闻媒体的报道。以下是最相关的 DFBD 清单和数据集：<img alt=\"\" src=\"/static/upload/images/20250625091606essd-17-1573-2025-t01-web.png\" /></p>",
    "ds_process_way": "<p>首先，对 DFBD 事件进行了全面搜索;其次，审查并验证了关键数据;最后，进行了数据补充。</p>",
    "ds_quality": "<p>通过 Google 地球严格审查和验证，数据信息良好。</p>",
    "ds_acq_start_time": "1800-01-01 00:00:00",
    "ds_acq_end_time": "2023-12-31 00:00:00",
    "ds_acq_place": "全球",
    "ds_acq_lon_east": 180.0,
    "ds_acq_lat_south": -90.0,
    "ds_acq_lon_west": -180.0,
    "ds_acq_lat_north": 90.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 140438,
    "ds_files_count": 2,
    "ds_format": "xlsx",
    "ds_space_res": "",
    "ds_time_res": "",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "1b734803-9566-4055-8d10-4be2c04ed7bf.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "09314967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [],
    "quality_level": 3,
    "publish_time": "2025-06-27 17:03:52",
    "last_updated": "2026-01-14 10:58:21",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.ZENODO.DB6893.2025",
    "i18n": {
        "en": {
            "title": "Global event driven debris flow interception dam dataset (1800-2023)",
            "ds_format": "xlsx",
            "ds_source": "<p>There are a total of 2519 data sources, mainly including peer-reviewed scientific literature, data released by government agencies, professional conference proceedings, and reports from authoritative news media. Here is the most relevant DFBD checklist and dataset:!<img alt=\"\" src=\"/static/upload/images/20250625091712essd-17-1573-2025-t01-web.png\" /></p>",
            "ds_quality": "<p>Through strict review and verification by Google Earth, the data information is good.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>This dataset contains 6 categories and 38 attributes, providing detailed descriptions of DFBD events. This dataset records basic information (location, formation date, etc.), dam characteristics (height, length, volume, etc.), lake characteristics (area, capacity, length, etc.), debris flow characteristics (velocity, flow, volume, etc.), dam failure characteristics (peak flow, casualties, etc.), and climate characteristics (precipitation and temperature). The dataset shows that DFBDs have key characteristics such as instability, complete blockage, and overflow failure. Especially in China, the number of such dams has significantly increased, with 15% of rivers experiencing repeated mudslides, resulting in 35% of all DFBDs. Further analysis shows that in the stability assessment of DFBD, the Ls (AHV) model should be given priority, followed by the DBI model. Compared with other obstacle dam datasets, this dataset is more targeted, emphasizing the review of raw data and the unity of terminology and concepts (i.e. blockage patterns and stability) to ensure data consistency and accuracy. The dataset and results presented in this study may contribute to a deeper understanding of the formation, distribution, and evolution of DFBD.</p>",
            "ds_time_res": "",
            "ds_acq_place": "Global",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>Firstly, a comprehensive search was conducted on the DFBD incident; Secondly, key data was reviewed and validated; Finally, data supplementation was conducted.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "ds_topic_tags": [
        "DFBD",
        "全球"
    ],
    "ds_subject_tags": [],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "全球"
    ],
    "ds_time_tags": [
        1800,
        1801,
        1802,
        1803,
        1804,
        1805,
        1806,
        1807,
        1808,
        1809,
        1810,
        1811,
        1812,
        1813,
        1814,
        1815,
        1816,
        1817,
        1818,
        1819,
        1820,
        1821,
        1822,
        1823,
        1824,
        1825,
        1826,
        1827,
        1828,
        1829,
        1830,
        1831,
        1832,
        1833,
        1834,
        1835,
        1836,
        1837,
        1838,
        1839,
        1840,
        1841,
        1842,
        1843,
        1844,
        1845,
        1846,
        1847,
        1848,
        1849,
        1850,
        1851,
        1852,
        1853,
        1854,
        1855,
        1856,
        1857,
        1858,
        1859,
        1860,
        1861,
        1862,
        1863,
        1864,
        1865,
        1866,
        1867,
        1868,
        1869,
        1870,
        1871,
        1872,
        1873,
        1874,
        1875,
        1876,
        1877,
        1878,
        1879,
        1880,
        1881,
        1882,
        1883,
        1884,
        1885,
        1886,
        1887,
        1888,
        1889,
        1890,
        1891,
        1892,
        1893,
        1894,
        1895,
        1896,
        1897,
        1898,
        1899,
        1900,
        1901,
        1902,
        1903,
        1904,
        1905,
        1906,
        1907,
        1908,
        1909,
        1910,
        1911,
        1912,
        1913,
        1914,
        1915,
        1916,
        1917,
        1918,
        1919,
        1920,
        1921,
        1922,
        1923,
        1924,
        1925,
        1926,
        1927,
        1928,
        1929,
        1930,
        1931,
        1932,
        1933,
        1934,
        1935,
        1936,
        1937,
        1938,
        1939,
        1940,
        1941,
        1942,
        1943,
        1944,
        1945,
        1946,
        1947,
        1948,
        1949,
        1950,
        1951,
        1952,
        1953,
        1954,
        1955,
        1956,
        1957,
        1958,
        1959,
        1960,
        1961,
        1962,
        1963,
        1964,
        1965,
        1966,
        1967,
        1968,
        1969,
        1970,
        1971,
        1972,
        1973,
        1974,
        1975,
        1976,
        1977,
        1978,
        1979,
        1980,
        1981,
        1982,
        1983,
        1984,
        1985,
        1986,
        1987,
        1988,
        1989,
        1990,
        1991,
        1992,
        1993,
        1994,
        1995,
        1996,
        1997,
        1998,
        1999,
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021,
        2022,
        2023
    ],
    "ds_contributors": [
        {
            "true_name": "胡凯衡",
            "email": "khhu@imde.ac.cn",
            "work_for": "中国科学院成都山地灾害与环境研究所",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "胡凯衡",
            "email": "khhu@imde.ac.cn",
            "work_for": "中国科学院成都山地灾害与环境研究所",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "胡凯衡",
            "email": "khhu@imde.ac.cn",
            "work_for": "中国科学院成都山地灾害与环境研究所",
            "country": "中国"
        }
    ],
    "category": "灾害"
}