1.本数据集主要收录了黄河流域历年降雨量，河流的水位、流速、流量、等观测数据。\n
2.数据集命名：流域历年降雨量，河流的水位、流速、流量、等观测数据.xlsx\n
3.属性：河名、站名、流域分区、计算面积、当年/上年降水量、多年均值、与上年/多年比较，主要收录了2015、2016、2017、2019年相关数据。\n
4.主要监测指标有：流域分区、计算面积（平方公里）、当年降水量、上年降水量（毫米）、1987·2000年均值（毫米）、1956·2000年均值（毫米、与上年比较（%）、与1987·2000年均值比较（%）、与1956·2000年均值比较（%）、毫米、亿立方米。
", "ds_source": "数据来源：2015～2019年黄河水资源公报
\n2015：http://www.yrcc.gov.cn/other/hhgb/2015szygb/index.html
\n2016：http://www.yrcc.gov.cn/other/hhgb/2016szygb/index.html
\n2017：http://www.yrcc.gov.cn/other/hhgb/2017szygb/index.html
\n2018：http://www.yrcc.gov.cn/other/hhgb/2018szygb/index.html
\n2019：http://www.yrcc.gov.cn/other/hhgb/2019szygb/index.html
", "ds_process_way": "通过2015～2019年黄河水资源公报，人工采集相关数据成表格形式信息。
", "ds_quality": "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。
", "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": 27531, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "eadb684d-b662-4ede-8334-fdf2c4aa52f1.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 15:13:47", "last_updated": "2025-05-29 10:54:17", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.YRIVER.2021.16", "i18n": { "en": { "title": "The precipitation data over the years from 2015 to 2019 in the Yellow River Basin, as well as the observed data of river water level, velocity, and flow rate", "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 aggregation, strict measures for data quality control were implemented, and there were comprehensive data preparation procedures and methods for assessing data quality.
", "ds_ref_way": "", "ds_abstract": "1. This dataset mainly collects the precipitation data over the years in the Yellow River Basin, as well as the observed data of river water level, velocity, flow rate, and other relevant indicators.
2. Dataset Name: Observed Data of Basin's Annual Precipitation, River Water Level, Velocity, Flow Rate, etc..xlsx
3. Attributes: River Name, Station Name, Basin Subdivision, Calculation Area, Annual/Previous Year's Precipitation, Multi-year Average, Comparison with Previous Year/Multi-year Average. It mainly includes data from the years 2015, 2016, 2017, and 2019.
4. The main monitoring indicators include: Basin Subdivision, Calculation Area (square kilometers), Annual Precipitation, Previous Year's Precipitation (millimeters), 1987-2000 Average (millimeters), 1956-2000 Average (millimeters), Comparison with Previous Year (%), Comparison with 1987-2000 Average (%), Comparison with 1956-2000 Average (%), as well as specific units of measurement such as millimeters and billion cubic meters.
", "ds_time_res": "年", "ds_acq_place": "The Yellow River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Based on the Yellow River Water Resources Bulletins from 2015 to 2019, relevant data was manually collected and organized into a tabular format.
", "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": [ "年降水量", "降水量年均值", "黄河水资源公报" ], "ds_subject_tags": [ "水文测量" ], "ds_class_tags": [], "ds_locus_tags": [ "黄河流域", "黄河流域周边省市县", "黄河流域境内" ], "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" }