对上甸子站2019年采集的分钟级二氧化硫浓度数据首先进行观测员级质控；其次，在数据质控软件支持下经专家级质控生成小时数据；再由小时数据合成日数据集。日数据集包括台站名称、日期、要素浓度等信息，可进行主要大气污染气体二氧化硫数据的日变化分析等应用。
", "ds_source": "采用Thermo fisher 公司生产的TE43i-TLE型二氧化硫分析仪采集二氧化氮分钟级浓度数据，数据单位为ppb，数据格式为Excel(*.xls)格式。
", "ds_process_way": "原始数据首先经过奇异值筛选，零跨检查等过程，剔除有问题的观测数据。然后根据校准曲线对数据进行校正，最后根据有效数据量进行小时均值和日均值计算。
", "ds_quality": "数据经过观测员级和专家级两级质控，数据质量良好。
", "ds_acq_start_time": "2019-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "北京市密云区高岭镇上甸子村后山上甸子国家大气本底站内", "ds_acq_lon_east": 117.13277777777778, "ds_acq_lat_south": 40.63305555555556, "ds_acq_lon_west": 117.05, "ds_acq_lat_north": 40.99805555555556, "ds_acq_alt_low": 293.1, "ds_acq_alt_high": 293.5, "ds_share_type": "login-access", "ds_total_size": 370176, "ds_files_count": 2, "ds_format": ".xls", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "4f31ede7-538c-40b3-804a-f8c0ba3b3c0b.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "在使用数据时，请注明“2019年北京上甸子大气本底站二氧化硫日数据集数据来自北京上甸子大气本底站”", "ds_from_station": null, "organization_id": "5bbdb7c9-88ca-4011-af74-f1eb6b162e28", "ds_serv_man": "董璠", "ds_serv_phone": "010-69039119", "ds_serv_mail": "fdong@ium.cn", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2024-09-26 14:59:20", "last_updated": "2025-06-30 14:52:58", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.SDZRAW.DB6591.2024", "license": null, "i18n": { "en": { "title": "Beijing Shangdianzi Atmospheric Background Station Sulfur Dioxide Daily Dataset (2019)", "ds_format": ".xls", "ds_source": "The TE43i TLE sulfur dioxide analyzer produced by Thermo Fisher was used to collect minute level concentration data of nitrogen dioxide, with data units in ppb and data format in Excel (*. xls) format.
", "ds_quality": "The data has undergone two levels of quality control, observer level and expert level, and the data quality is good.
", "ds_ref_way": "", "ds_abstract": "Firstly, perform observer level quality control on the minute level sulfur dioxide concentration data collected at Shangdianzi Station in 2019; Secondly, with the support of data quality control software, hourly data is generated through expert level quality control; Combine hourly data into a daily dataset. The daily dataset includes information such as station names, dates, and element concentrations, which can be used for daily variation analysis of major atmospheric pollutant gas sulfur dioxide data.
", "ds_time_res": "日", "ds_acq_place": "Shangdianzi National Atmospheric Background Station, Houshan Shangdianzi Village, Gaoling Town, Miyun District, Beijing", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The raw data is first subjected to processes such as singular value screening and zero crossing checks to eliminate problematic observation data. Then calibrate the data based on the calibration curve, and finally calculate the hourly and daily averages based on the effective data volume.
", "ds_ref_instruction": "When using data, please indicate that the 2019 Beijing Shangdianzi Atmospheric Background Station SO2 Daily Dataset data is from the Beijing Shangdianzi Atmospheric Background Station" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "上甸子", "二氧化硫", "大气本底" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "北京市密云区高岭镇上甸子村" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "侯金龙", "email": "jlhou@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "董璠", "email": "fdong@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "周礼岩", "email": "lyzhou@ium.cn", "work_for": "北京城市气象研究院", "country": "中国" } ], "category": "大气本底" }