本数据集收录了2015～2019年黄河流域市级区域年内月空气质量指数，其中包括AQI指数、质量等级、空气污染物含量等相关数据。数据主要来源于国家气象网历史空气质量数据。
\n1.数据集命名：流域重要污染源环境统计数据。
\n2.属性信息：\n
\n年份：2015～2019年\n
\n月份：1～12月\n
\nAQI：AQI(空气质量)指数\n
\n范围：空气质量指数月度范围\n
\n质量等级：该市月度空气质量等级\n
\nPM2.5：该市月度空气PM2.5含量\n
\nPM10：该市月度空气PM10含量\n
\nSO2：该市月度空气SO2含量\n
\nCO：该市月度空气CO含量\n
\nNO2：该市月度空气NO2含量\n
\nO3：该市月度空气O3含量\n
\n每一个工作表属于黄河流域流经省份，每一个工作表中，黄河流域市空气污染源统计数据为一张表，并遵循上述属性信息。", "ds_source": "
本数据集数据源主要来自于国家气象网，通过历史天气检索，整理得出市级区域空气污染物等相关数据。
\n本数据集中黄河流域包含的地区为：青海省（果洛州、海南州、黄南州、海东市）；四川省（阿坝州）；山东省（何泽市，济宁市，泰安市，聊城市，济南市，章丘市，德州市，滨州市，淄博市，东营市）；河南省（三门峡市、洛阳市、焦作市、郑州市、开封市、新乡市、濮阳市、济源市）；山西省（吕梁市、朔州市、临汾市、运城市）；陕西省（榆林市、延安市、渭南市）；内蒙古自治区（乌海市、巴彦淖尔、包头、鄂尔多斯）；甘肃省（临夏回族自治州、兰州市、白银市）；宁夏回族自治区（中卫市、吴忠市、银川市、石嘴山市）。
", "ds_process_way": "本数据集中的数据主要来自于国家气象网，通过历史天气检索，整理得出市级区域空气污染物等相关数据，将数据以表格形式存储。
", "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": 119.0, "ds_acq_lat_south": 32.11666666666667, "ds_acq_lon_west": 95.8, "ds_acq_lat_north": 42.81666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 322901, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": null, "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "456ba79d-dadc-4b9a-ac74-24af2a6e227c.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": "10.12072/ncdc.YRiver.db1934.2022", "subject_codes": [ "170.4520" ], "quality_level": 3, "publish_time": "2022-04-02 10:33:13", "last_updated": "2025-05-29 10:55:14", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.YRiver.db1934.2022", "i18n": { "en": { "title": "Environmental Statistics Data on Major Pollution Sources in the Yellow River Basin from 2015-2019", "ds_format": "Excel", "ds_source": "This dataset's data sources mainly originate from the National Meteorological Website. Relevant data on air pollutants and other factors at the municipal level were compiled through historical weather searches.
\nThe regions included in the Yellow River Basin within this dataset are: Qinghai Province (Golog Prefecture, Hainan Prefecture, Huangnan Prefecture, Haidong City); Sichuan Province (Aba Prefecture); Shandong Province (Heze City, Jining City, Tai'an City, Liaocheng City, Jinan City, Zhangqiu City, Dezhou City, Binzhou City, Zibo City, Dongying City); Henan Province (Sanmenxia City, Luoyang City, Jiaozuo City, Zhengzhou City, Kaifeng City, Xinxiang City, Puyang City, Jiyuan City); Shanxi Province (Luliang City, Shuozhou City, Linfen City, Yuncheng City); Shaanxi Province (Yulin City, Yan'an City, Weinan City); Inner Mongolia Autonomous Region (Wuhai City, Bayannur, Baotou, Erdos); Gansu Province (Linxia Hui Autonomous Prefecture, Lanzhou City, Baiyin City); Ningxia Hui Autonomous Region (Zhongwei City, Wuzhong City, Yinchuan City, Shizuishan City).
", "ds_quality": "During the process of data production and compilation, strict measures for data quality control were implemented, ensuring a robust procedure for data generation and utilization.
", "ds_ref_way": "", "ds_abstract": "This dataset contains monthly air quality index (AQI) data for municipal regions within the Yellow River Basin from 2015 to 2019. It includes relevant data such as AQI values, quality grades, and air pollutant concentrations. The data primarily originates from the historical air quality data provided by the National Meteorological Website.
\n1.Dataset Name: Environmental Statistics Data on Major Pollution Sources in the River Basin.
\n2. Attribute information:\n
\nYear: 2015 ~ 2019\n
\nMonth: January to December\n
\nAQI: AQI (air quality) index\n
\nRange: Monthly range of air quality index\n
\nQuality grade: monthly air quality grade of the city\n
\nPM2.5: The city's monthly air PM2.5 content\n
\nPM10: monthly air PM10 content in the city\n
\nSO2: monthly air SO2 content in the city\n
\nCO: monthly air CO content in the city\n
\nNO2: monthly air NO2 content in the city\n
\nO3: monthly air O3 content in the city\n
\nEach worksheet belongs to the provinces flowing through the Yellow River Basin. In each worksheet, the statistical data of air pollution sources in the Yellow River Basin is a table and follows the above attribute information.
", "ds_time_res": "月", "ds_acq_place": "Yellow River Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The data in this dataset is mainly sourced from the National Meteorological Website. Relevant data on air pollutants and other factors at the municipal level were compiled through historical weather searches and stored in a tabular form.
", "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": [ "AQI", "质量等级", "PM2.5", "PM10", "CO", "NO2", "O3" ], "ds_subject_tags": [ "人文地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "陕西省", "青海省", "四川省", "山东省", "河南省", "山西省", "内蒙古自治区", "甘肃省", "宁夏回族自治区" ], "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": "生态" }