{
    "created": "2021-03-15 07:05:38",
    "updated": "2026-05-01 22:32:03",
    "id": "1de77d28-c628-477a-894e-459d2987ba4f",
    "version": 5,
    "ds_topic": null,
    "title_cn": "2015-2019年黄河流域泥沙观测数据",
    "title_en": "Data on Sediment Observation in the Yellow River Basin from 2015 to 2019",
    "ds_abstract": "<p>&emsp;&emsp;本数据集收录了2015～2019年黄河流域支流干流水文站检测的流沙量等泥沙观测数据。数据集为两个Excel文件：其一，干流控制水文站，记录了黄河流域重要控制水文站2015～2019年干流重要水文站各流域段年均含沙量的值；其二，支流重要控制水文站，记录了2015～2019年支流重要水文站各流域段年均含沙量的值。</p>\n<p>&emsp;&emsp;2.属性信息：（1）河名：水文站所控制区域河流名称(仅存在于重要支流水文控制站中)；（2）水文控制站：黄河流域重要控制水文站；（3）控制流域面积：水文控制站所控制区域面积（单位:万km<sup>2</sup>）；（4）年均含沙量：水文站控制区域年均每立方米水中平均含沙量（单位:kg/m<sup>3</sup>）。</p>",
    "ds_source": "<p>&emsp;&emsp;2015～2019年黄河流域支流干流水文站检测的流沙量等泥沙观测数据。</p>",
    "ds_process_way": "<p>&emsp;&emsp;本数据集中数据主要来源于黄河网2015～2019年黄河泥沙公报，将数据整理成表格形式。</p>",
    "ds_quality": "<p>&emsp;&emsp;在数据生产汇集过程中，严格把控数据质量控制措施，有健全的数据产生过程和使用方法。</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": 119.03333333333333,
    "ds_acq_lat_south": 32.13333333333333,
    "ds_acq_lon_west": 95.83333333333333,
    "ds_acq_lat_north": 42.81666666666667,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 37525,
    "ds_files_count": 2,
    "ds_format": "Excel",
    "ds_space_res": null,
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "1de77d28-c628-477a-894e-459d2987ba4f.jpg",
    "ds_thumb_from": 2,
    "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": [
        "170.55"
    ],
    "quality_level": 3,
    "publish_time": "2021-08-20 09:47:58",
    "last_updated": "2025-05-29 10:53:11",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.ncdc.YRiver.2021.42",
    "i18n": {
        "en": {
            "title": "Data on Sediment Observation in the Yellow River Basin from 2015 to 2019",
            "ds_format": "Excel",
            "ds_source": "<p>&emsp;Sediment observation data, including the amount of drifting sand, detected by hydrological stations on the tributaries and main stream of the Yellow River Basin from 2015 to 2019.</p>",
            "ds_quality": "<p>&emsp;During the process of data production and compilation, strict measures for data quality control were implemented, accompanied by comprehensive data generation procedures and utilization methods.</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p> This dataset collects sediment observation data, including the amount of drifting sand, detected by hydrological stations on the tributaries and main stream of the Yellow River Basin from 2015 to 2019. The dataset consists of two Excel files: First, the \"Main Stream Control Hydrological Stations\" file records the annual average sediment concentration values for various river segments at important hydrological stations on the main stream of the Yellow River Basin from 2015 to 2019; Second, the \"Important Tributary Control Hydrological Stations\" file records the annual average sediment concentration values for various river segments at important hydrological stations on the tributaries from 2015 to 2019.</p>\n<p> 2. Attribute Information: (1) River Name: The name of the river in the area controlled by the hydrological station (only exists in the important tributary hydrological control stations); (2) Hydrological Control Station: Important control hydrological stations in the Yellow River Basin; (3) Controlled Basin Area: The area controlled by the hydrological control station (unit: ten thousand km<sup>2</sup>); (4) Annual Average Sediment Concentration: The average sediment concentration per cubic meter of water in the area controlled by the hydrological station (unit: kg/m<sup>3</sup>).</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Yellow River Basin",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;The data in this dataset is mainly sourced from the Yellow River Sediment Bulletin published by the Yellow River Network from 2015 to 2019, and has been 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": [
        "水文控制站",
        "干流",
        "支流",
        "年均含沙量"
    ],
    "ds_subject_tags": [
        "水文学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "洮河",
        "黄埔川",
        "窟野河",
        "无定河",
        "延河",
        "泾河",
        "渭河",
        "北洛河",
        "汾河",
        "伊洛河",
        "沁河"
    ],
    "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"
}