{
    "created": "2021-03-17 02:45:50",
    "updated": "2026-05-02 22:36:01",
    "id": "3d614b9e-8028-48ca-a9f9-c855e31d97ff",
    "version": 3,
    "ds_topic": null,
    "title_cn": "2015-2019年黄河流域近几年暴雨洪水数据",
    "title_en": "The storm and flood data in the Yellow River Basin for recent years from 2015 to 2019.",
    "ds_abstract": "<p>&emsp;&emsp;本数据集收录了黄河流域地区近5年来暴雨洪水等相关资料。\n<p>&emsp;&emsp;1、数据集命名：黄河流域内近几年暴雨洪水数据.xlsx\n<p>&emsp;&emsp;2、属性说明：序号：名单序号、省：黄河流域、市：黄河流域流经市级地区、地区：黄河流域流经区县级地区、暴雨洪水发生次数。\n<p>&emsp;&emsp;3.主要监测指标有：洪水详情数据。</p>",
    "ds_source": "<p>&emsp;&emsp;全国水情年报2019，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/202006/t20200630_1410521.html</p>\n<p>&emsp;&emsp;全国水情年报2018，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201912/P020191216500589402000.pdf</p>\n<p>&emsp;&emsp;全国水情年报2017，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201902/P020190213636482806061.pdf</p>\n<p>&emsp;&emsp;全国水情年报2016，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201708/t20170810_973261.html</p>\n<p>&emsp;&emsp;全国水情年报2015，出处：http://www.mwr.gov.cn/zzsc/tjgb/sqnb/2015/#p=31，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/202006/t20200630_1410521.html</p>\n<p>&emsp;&emsp;全国水情年报2018，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201912/P020191216500589402000.pdf</p>\n<p>&emsp;&emsp;全国水情年报2017，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201902/P020190213636482806061.pdf</p>\n<p>&emsp;&emsp;全国水情年报2016，出处：http://www.mwr.gov.cn/sj/tjgb/sqnb/201708/t20170810_973261.html</p>\n<p>&emsp;&emsp;全国水情年报2015，出处：http://www.mwr.gov.cn/zzsc/tjgb/sqnb/2015/#p=31</p>",
    "ds_process_way": "<p>&emsp;&emsp;通过2015～2019年全国水情年报，人工采集相关数据成表格形式信息。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据生产汇集过程中，严格把控数据质量控制措施，有健全的数据制备过程和数据质量评估方法。</p>",
    "ds_acq_start_time": "2015-01-01 00:00:00",
    "ds_acq_end_time": "2019-12-31 00:00:00",
    "ds_acq_place": "黄河流域",
    "ds_acq_lon_east": 119.345,
    "ds_acq_lat_south": 32.84166666666667,
    "ds_acq_lon_west": 95.88194444444444,
    "ds_acq_lat_north": 57.81666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 71993,
    "ds_files_count": 6,
    "ds_format": "Excel",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "3d614b9e-8028-48ca-a9f9-c855e31d97ff.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "b412fac3-1f10-4eb6-9d10-c51bcea30d0c",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.5530"
    ],
    "quality_level": 3,
    "publish_time": "2021-09-15 12:03:36",
    "last_updated": "2025-05-29 10:54:17",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.YRIVER.2021.14",
    "i18n": {
        "en": {
            "title": "The storm and flood data in the Yellow River Basin for recent years from 2015 to 2019.",
            "ds_format": "Excel",
            "ds_source": "<p>&emsp;National water information annual report 2019, source: http://www.mwr.gov.cn/sj/tjgb/sqnb/202006/t20200630_1410521.html\n<p>&emsp;National Hydrological annual report 2018, source: &emsp;&emsp;http://www.mwr.gov.cn/sj/tjgb/sqnb/201912/P020191216500589402000.pdf\n<p>&emsp;National Hydrological annual report 2017, source: http://www.mwr.gov.cn/sj/tjgb/sqnb/201902/P020190213636482806061.pdf\n<p>&emsp;National Hydrological annual report 2016, source: http://www.mwr.gov.cn/sj/tjgb/sqnb/201708/t20170810_973261.html\n<p>&emsp;National Hydrological annual report 2015, source: http://www.mwr.gov.cn/zzsc/tjgb/sqnb/2015/#p=31</p>",
            "ds_quality": "<p>&emsp;During the process of data production and compilation, strict measures for data quality control were implemented, and there were comprehensive data preparation procedures and methods for assessing data quality.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> This dataset collects relevant information on storms and floods in the Yellow River Basin over the past five years. <p> 1. Dataset Name: Storm and Flood Data in the Yellow River Basin in Recent Years.xlsx <p> 2. Attribute Description: Serial Number (indicating the order in the list), Province (referring to the Yellow River Basin), City (municipalities through which the Yellow River flows), Region (districts or counties through which the Yellow River flows), and Number of Occurrences of Storms and Floods. <p> 3. The main monitoring indicator includes: detailed flood data.</p></p></p></p>",
            "ds_time_res": "年",
            "ds_acq_place": "The Yellow River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;Based on the Annual Water Regime Reports of China from 2015 to 2019, relevant data was manually collected and organized into a tabular format.</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC 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": [
        "水情",
        "地点",
        "流量",
        "洪水"
    ],
    "ds_subject_tags": [
        "水文测量"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "黄河流域"
    ],
    "ds_time_tags": [
        2015,
        2016,
        2017,
        2018,
        2019
    ],
    "ds_contributors": [
        {
            "true_name": "张耀南",
            "email": "yaonan@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": "康建芳",
            "email": "kangjf@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": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "刘春",
            "email": "liuchun@henu.edu.cn",
            "work_for": "河南大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "敏玉芳",
            "email": "myf@lzb.ac.cn",
            "work_for": "中国科学院西北生态环境资源研究院",
            "country": "中国"
        }
    ],
    "category": "水文"
}