本数据集是课题组在2019年6月14日至2020年5月6日在瓦里关站收集的PM2.5滤膜样品在实验室检测得到的各种参数，包括化学组分的质量浓度、紫外-可见光吸收光谱、三维荧光光谱、有机气溶胶的组分因子以及气象数据。该数据可为大气科学和冰冻圈科学等相关研究提供基础数据。
", "ds_source": "采样仪器为低流量气溶胶采样器，采集速率16.7 L·min-1，滤膜使用直径为47mm的石英纤维滤膜，每7天采集48小时；检测仪器包括：热-光碳元素分析仪检测EC和OC、881离子色谱系统检测常见的阴阳离子、双光束紫外-可见（UV-vis）光谱仪测量样品200~900 nm波长范围内的紫外-可见吸收光谱、荧光光谱仪扫描样品获得三维激发-发射矩阵荧光光谱、总有机碳分析仪检测WSOC、高分辨率飞行时间气溶胶质谱仪（HR-ToF-AMS）获取有机气溶胶的化学信息；气象数据来自Vantage Pro2自动气象站。
", "ds_process_way": "HR-ToF-AMS数据处理使用标准的数据分析软件Igor Pro 6.37，该软件包括标准数据处理工具包SQUIRREL (v1.56)和PIKA (v1.15c)；有机气溶胶的组分因子由正交矩阵因子（PMF）分析得到；有机质（OM）的质量浓度由公式OM=OC*(OM/OC)计算得到，其中OC为热-光碳元素分析仪测得的OC的质量浓度，OM/OC为PMF源解析得到的比值2.1；其他数据采用常规数据处理方法获取均值等信息。
", "ds_quality": "仪器在检测样品前均进行校正，以确保数据准确性。
", "ds_acq_start_time": "2019-06-14 00:00:00", "ds_acq_end_time": "2020-05-06 00:00:00", "ds_acq_place": "青海省瓦里关站", "ds_acq_lon_east": 100.9, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": 36.283055555555556, "ds_acq_alt_low": 3816.0, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 422598, "ds_files_count": 7, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "55e3a431-3052-4848-bf97-71e5c9fb1d78.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.1515" ], "quality_level": 3, "publish_time": "2025-03-21 09:17:31", "last_updated": "2025-03-29 16:30:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6809.2025", "i18n": { "en": { "title": "Comprehensive dataset of atmospheric aerosols (PM2.5) at Waliguan Station (2019-2020)", "ds_format": "", "ds_source": "The sampling instrument is a low flow aerosol sampler with a collection rate of 16.7 L · min-1. The filter membrane uses a 47mm diameter quartz fiber filter membrane and is collected every 7 days for 48 hours; The detection instruments include: a thermal optical carbon analyzer for detecting EC and OC, an 881 ion chromatography system for detecting common anions and cations, a dual beam ultraviolet visible (UV vis) spectrometer for measuring the UV visible absorption spectrum of the sample in the wavelength range of 200-900 nm, a fluorescence spectrometer for scanning the sample to obtain a three-dimensional excitation emission matrix fluorescence spectrum, a total organic carbon analyzer for detecting WSOC, and a high-resolution time-of-flight aerosol mass spectrometer (HR ToF AMS) for obtaining chemical information of organic aerosols; The meteorological data comes from Vantage Pro2 automatic weather station", "ds_quality": "
The instrument is calibrated before testing the sample to ensure data accuracy", "ds_ref_way": "", "ds_abstract": "
This dataset consists of various parameters obtained from PM2.5 filter membrane samples collected by the research team at the Waliguan station from June 14, 2019 to May 6, 2020. These parameters include the mass concentration of chemical components, UV visible absorption spectra, 3D fluorescence spectra, component factors of organic aerosols, and meteorological data. This data can provide basic data for related research in atmospheric science and cryosphere science
", "ds_time_res": "", "ds_acq_place": "Waliguan Station, Qinghai Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "HR ToF AMS data processing uses standard data analysis software Igor Pro 6.37, which includes standard data processing toolkits SQUIRREL (v1.56) and PIKA (v1.15C); The component factors of organic aerosols are obtained through orthogonal matrix factor (PMF) analysis; The mass concentration of organic matter (OM) is calculated using the formula OM=OC * (OM/OC), where OC is the mass concentration of OC measured by a thermal optical carbon analyzer and OM/OC is the ratio of 2.1 obtained by PMF source apportionment; Other data are processed using conventional data processing methods to obtain mean and other information", "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": [ "大气气溶胶", "PM2.5", "青藏高原" ], "ds_subject_tags": [ "大气化学" ], "ds_class_tags": [], "ds_locus_tags": [ "青海省海南藏族自治州瓦里关站" ], "ds_time_tags": [ 2019, 2020 ], "ds_contributors": [ { "true_name": "徐建中", "email": "jzxu@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": "李珂镁", "email": "likemei@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李珂镁", "email": "likemei@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "徐建中", "email": "jzxu@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": "气象" }