{
    "created": "2023-07-20 10:47:06",
    "updated": "2026-04-28 14:39:38",
    "id": "92db9bdb-7d0d-4dff-8f91-a98c6957490d",
    "version": 14,
    "ds_topic": null,
    "title_cn": "COVID-19对中国西北典型城市亚微米颗粒物浓度和组成的影响（2020年1-3月）",
    "title_en": "COVID‐19 Impact on the Concentration and Composition of Submicron Particulate Matter in a Typical City of Northwest China",
    "ds_abstract": "<p>&emsp;&emsp;在本研究中，我们评估了兰州的空气质量变化，兰州是中国西北地区受 COVID-19 封锁影响的典型城市。兰州是中国西北地区受 COVID-19 封锁影响的典型城市。非耐火亚微米颗粒物（N高分辨率气溶胶质谱仪测定了非难燃亚微米颗粒物（NR-PM<sub>1</sub>）的质量浓度和化学成分。\n<p>&emsp;&emsp;高分辨率气溶胶质谱仪测定了 2020 年 1 月至 3 月期间非难降解亚微米颗粒物（NR-PM1）的质量浓度和化学成分。NR-PM1浓度比对照期前下降了 50%。五种气溶胶成分（硫酸盐、硝酸盐、铵盐、氯化物和有机物）的浓度均有所下降、铵、氯化物和有机气溶胶 [OA]）在对照期间均有所下降，其中次生无机物的降幅最大。次生无机物的降幅最大（占总降幅的 70%）。虽然 OA 的质量浓度在控制期间有所下降，但其排放源却各不相同。来自煤和生物质燃烧产生的 OA 从控制期前到控制期内保持稳定，而与交通和而与交通和烹饪有关的排放则分别减少了 25% 和 50%。控制期间的低浓度控制期间的浓度较低，是因为二次气溶胶的产生率较低。</p>",
    "ds_source": "<p>&emsp;&emsp;通过使用一套在线仪器进行移动测量，所有仪器在采样前都按照标准方法进行了校准。例如，HR-ToF-AMS 的流速、尺寸和电离效率（IE）按照 Jayne 等人（2000 年）中描述的程序进行了校准。\nIE 校准使用NH<sub>4</sub>NO<sub>3</sub>和(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>分别校准铵和硫酸盐。硫酸盐分别进行 IE 校准。CO<sub>2</sub>监测器使用高精度和高准确度CO<sub>2</sub>标准气体进行校准。</p>",
    "ds_process_way": "<p>&emsp;&emsp; 试验获得</p>",
    "ds_quality": "<p>&emsp;&emsp;数据质量良好</p>",
    "ds_acq_start_time": "2020-01-01 00:00:00",
    "ds_acq_end_time": "2020-03-31 00:00:00",
    "ds_acq_place": "甘肃省兰州市",
    "ds_acq_lon_east": 104.55,
    "ds_acq_lat_south": 37.0,
    "ds_acq_lon_west": 104.55,
    "ds_acq_lat_north": 37.0,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "open-access",
    "ds_total_size": 1282504,
    "ds_files_count": 3,
    "ds_format": "Excel",
    "ds_space_res": null,
    "ds_time_res": "日",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "92db9bdb-7d0d-4dff-8f91-a98c6957490d.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.15"
    ],
    "quality_level": 3,
    "publish_time": "2023-07-25 11:37:01",
    "last_updated": "2025-06-30 16:20:08",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.ZENODO.DB3948.2023",
    "i18n": {
        "en": {
            "title": "COVID‐19 Impact on the Concentration and Composition of Submicron Particulate Matter in a Typical City of Northwest China",
            "ds_format": "Excel",
            "ds_source": "<p>&Emsp; By using a set of online instruments for mobile measurement, all instruments were calibrated according to standard methods before sampling. For example, the flow rate, size, and ionization efficiency (IE) of HR-ToF-AMS were calibrated according to the procedure described by Jayne et al. (2000).\nIE calibration uses NH<sub>4</sub>NO<sub>3</sub>and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>to calibrate ammonium and sulfate, respectively. Sulfate is calibrated for IE separately. The CO<sub>2</sub>monitor is calibrated using high-precision and high-precision CO<sub>2</sub>standard gas</p>",
            "ds_quality": "<p>&Emsp;Good quality of data</p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>&amp;EmspIn this study, we evaluated the variations of air quality in Lanzhou, a typical city inNorthwestern China impacted by the COVID‐19 lockdown. The mass concentration and chemicalcomposition of non‐refractory submicron particulate matter （NR-PM<sub>1</sub>）were determined by ahigh‐resolution aerosol mass spectrometer during January‐March 2020. The concentration of NR‐PM1dropped by 50% from before to during control period. The five aerosol components (sulfate, nitrate,ammonium, chloride, and organic aerosol [OA]) all decreased during the control period with the biggestdecrease observed for secondary inorganic species (70% of the total reduction). Though the mass\nconcentration of OA decreased during the control period, its source emissions varied differently. OA fromcoal and biomass burning remained stable from before to during control period, while traffic andcooking related emissions were reduced by 25% and 50%, respectively. The low concentration during thecontrol period was attributed to the lower production rate for secondary aerosols.</p>",
            "ds_time_res": "日",
            "ds_acq_place": "Lanzhou, Gansu Province",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;Experimentally obtained</p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "license_type": "CC BY 4.0",
    "doi_reg_from": "reg_outside",
    "cstr_reg_from": "reg_outside",
    "doi_not_reg_reason": null,
    "cstr_not_reg_reason": null,
    "is_paper_in_submitting": false,
    "ds_topic_tags": [
        "平均温度",
        "温度平均值",
        "热量平均值"
    ],
    "ds_subject_tags": [
        "大气科学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "甘肃省兰州市"
    ],
    "ds_time_tags": [
        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"
        }
    ],
    "ds_meta_authors": [
        {
            "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"
        }
    ],
    "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": "大气本底"
}