1.本数据为黄河流域干流水文站径流量年际变化数据。主要收集了黄河流域干流水文站径流量年度变化数据和年内月径流量变换数据。其中，2015～2019年每一年内的黄河流域干流月径流量变化数据存在于每一个工作表中。\n
2.数据集命名：流域径流年内、年际变化数据.xlsx\n
3.属性信息：\n
（1）年际变化数据表主要有三个属性：水文控制站、控制流域面积、年径流量；\n
（2）水文控制站：主要是黄河流域干流水文控制站，共有12处；\n
（3）控制流域面积：水文控制站所控制的流域面积，单位：万平方公里；\n
（4）年径流量：主要包含有2015～2019年各年水文控制站的年径流量，单位：亿立方米；\n
（5）2015～2019年内每月变化数据表主要属性为水文站站名、月径流量和汛期径流量；\n
（6）水文站：主要是黄河流域主要水文控制站，共有12处；\n
（7）月径流量：黄河流域主要水文控制站每月径流量，单位：亿立方米；\n
（8）汛期径流量：7～10月黄河流域主要水文控制站径流量，单位：亿立方米，占比单位：%；\n
4.其中，黄河流域干流月就流量年际变化和2015～2019年每一年内的黄河流域干流月径流量变化数据存在于每一个工作表中，共6个工作表。主要检测指标有：控制流域面积、年径流量。
", "ds_source": "数据来源：2015～2019年黄河水资源公报\n
2015：http://www.yrcc.gov.cn/other/hhgb/2015szygb/index.html\n
2016：http://www.yrcc.gov.cn/other/hhgb/2016szygb/index.html\n
2017：http://www.yrcc.gov.cn/other/hhgb/2017szygb/index.html\n
2018：http://www.yrcc.gov.cn/other/hhgb/2018szygb/index.html\n
2019：http://www.yrcc.gov.cn/other/hhgb/2019szygb/index.html
", "ds_process_way": "通过年公报，人工采集相关数据成表格形式信息。
", "ds_quality": "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。
", "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": 24976, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "f378e22d-c7cf-455e-8d67-78841fbb3167.png", "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": [ "170.5520" ], "quality_level": 3, "publish_time": "2021-08-19 16:13:57", "last_updated": "2025-05-29 10:53:13", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.YRiver.2021.26", "i18n": { "en": { "title": "Runoff Intra-annual and Inter-annual Variation Data in the Yellow River Basin from 2015 to 2019", "ds_format": "Excel", "ds_source": "Data source: Yellow River water resources bulletin 2015-2019\n
2015： http://www.yrcc.gov.cn/other/hhgb/2015szygb/index.html\n
2016： http://www.yrcc.gov.cn/other/hhgb/2016szygb/index.html\n
2017： http://www.yrcc.gov.cn/other/hhgb/2017szygb/index.html\n
2018： http://www.yrcc.gov.cn/other/hhgb/2018szygb/index.html\n
2019： http://www.yrcc.gov.cn/other/hhgb/2019szygb/index.html
", "ds_quality": "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.
", "ds_ref_way": "", "ds_abstract": "1. This dataset contains the inter-annual variation data of runoff at the mainstream hydrological stations in the Yellow River Basin. It mainly collects the annual variation data of runoff and the intra-annual monthly runoff transformation data at the mainstream hydrological stations in the Yellow River Basin. Specifically, the monthly runoff variation data for the mainstream of the Yellow River Basin from 2015 to 2019 are presented in separate worksheets for each year.
2. Dataset Name: Intra-annual and Inter-annual Variation Data of Runoff in the River Basin.xlsx
3. Attribute Information:
(1) The inter-annual variation data table has three main attributes: hydrological control station, controlled drainage area, and annual runoff;
(2) Hydrological Control Station: Mainly refers to the mainstream hydrological control stations in the Yellow River Basin, totaling 12 stations;
(3) Controlled Drainage Area: The drainage area controlled by the hydrological control station, with the unit being 10,000 square kilometers;
(4) Annual Runoff: Primarily includes the annual runoff of the hydrological control stations from 2015 to 2019, with the unit being billion cubic meters;
(5) The monthly variation data table for the years 2015 to 2019 has main attributes including the name of the hydrological station, monthly runoff, and flood season runoff;
(6) Hydrological Station: Mainly refers to the main hydrological control stations in the Yellow River Basin, totaling 12 stations;
(7) Monthly Runoff: The monthly runoff of the main hydrological control stations in the Yellow River Basin, with the unit being billion cubic meters;
(8) Flood Season Runoff: The runoff of the main hydrological control stations in the Yellow River Basin from July to October, with the unit being billion cubic meters and the proportion unit being percent;
4. The intra-annual variation data of monthly runoff for the mainstream of the Yellow River Basin and the monthly runoff variation data for each year from 2015 to 2019 are presented in a total of six worksheets. The main detection indicators include controlled drainage area and annual runoff.
", "ds_time_res": "年", "ds_acq_place": "The Yellow River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Through the annual bulletins, relevant data was manually collected and organized into tabular format information.
", "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": [ "水文站", "年径流量", "月径流量", "汛期" ], "ds_subject_tags": [ "水文地理学" ], "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" }