{
    "created": "2025-12-26 15:17:58",
    "updated": "2026-05-16 13:12:20",
    "id": "8f57931b-6ce8-417d-a2ef-7c36109c71fe",
    "version": 4,
    "ds_topic": null,
    "title_cn": "中国煤炭燃烧过程中CFC-11排放量估算数据集（2000-2021年）",
    "title_en": "Estimation of CFC-11 emissions from coal combustion in China",
    "ds_abstract": "<p>&emsp;&emsp;本数据集为2000年至2021年中国煤炭燃烧（包括民用块煤、蜂窝煤和燃煤电厂）来源的三氯氟甲烷（CFC-11）排放清单。研究首次建立了此来源的高空间分辨率排放清单，并通过实地测量确定了排放因子（块煤：3.6 mg/kg，蜂窝煤：3.2 mg/kg，燃煤电厂：0.025 mg/kg）。计算结果显示，2000-2021年中国煤炭燃烧年均排放CFC-11约233.5吨，其排放量在总排放（生产和使用的排放，PAU）中的占比从2000年的0.8%显著上升至2021年的9.8%，高峰值出现在2016年。",
    "ds_source": "<p>&emsp;&emsp;数据来源于https://figshare.com/articles/dataset/Data_rar/28523063 。",
    "ds_process_way": "<p>&emsp;&emsp;数据生成采用“自下而上”的排放因子法。研究首先通过统一的稀释采样方法进行现场实测，获取了不同类型煤炭燃烧源的CFC-11排放因子。随后，结合2000-2021年全国及省级层面的煤炭消费量活动水平数据，应用公式“排放量 = 排放因子 × 活动水平”计算得出年度及地区的排放量，从而构建了长时间序列、高空间分辨率的排放清单。此外，研究使用WRF-FLEXPART大气扩散模型模拟了重点省份（山东、河北）的排放对沿海观测站点（如高山站）大气浓度的贡献。",
    "ds_quality": "<p>&emsp;&emsp;数据质量基于实测排放因子和权威统计数据进行保障。排放因子来源于统一方法的直接测量，减少了估算的不确定性；活动水平数据依托于国家及省级官方能源统计资料。",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2022-12-31 00:00:00",
    "ds_acq_place": "中国",
    "ds_acq_lon_east": null,
    "ds_acq_lat_south": null,
    "ds_acq_lon_west": null,
    "ds_acq_lat_north": null,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 2122473385,
    "ds_files_count": 21,
    "ds_format": "*.tif，*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "8f57931b-6ce8-417d-a2ef-7c36109c71fe.png",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "a4dd5849-78f2-44c5-b0f1-3450e952b2a2",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2025-12-29 10:19:39",
    "last_updated": "2025-12-29 10:19:39",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.FIGSHARE.DB7047.2025",
    "i18n": {
        "en": {
            "title": "Estimation of CFC-11 emissions from coal combustion in China",
            "ds_format": "*.tif，*.xlsx",
            "ds_source": "<p>&emsp; &emsp; The data is sourced from https://figshare.com/articles/dataset/Data_rar/28523063 .",
            "ds_quality": "<p>&emsp; &emsp; The data quality is guaranteed based on measured emission factors and authoritative statistical data. The emission factors are derived from direct measurement using a unified method, reducing the uncertainty of estimation; The activity level data is based on official energy statistics at the national and provincial levels.",
            "ds_ref_way": "",
            "ds_abstract": "<p>    This dataset is an inventory of trichlorofluoromethane (CFCs) emissions from coal combustion sources in China (including residential lump coal, honeycomb coal, and coal-fired power plants) from 2000 to 2021. The study established a high-resolution emission inventory for this source for the first time and determined emission factors through field measurements (lump coal: 3.6 mg/kg, honeycomb coal: 3.2 mg/kg, coal-fired power plant: 0.025 mg/kg). The calculation results show that from 2000 to 2021, the annual average emissions of CFCs from coal combustion in China were about 233.5 tons, and its proportion in the total emissions (production and use emissions, PAU) significantly increased from 0.8% in 2000 to 9.8% in 2021, with the peak occurring in 2016.</p>",
            "ds_time_res": "年",
            "ds_acq_place": "China",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp; &emsp; The data generation adopts the \"bottom-up\" emission factor method. The study first conducted on-site measurements using a unified dilution sampling method to obtain the emission factors of CFCs from different types of coal combustion sources. Subsequently, based on the activity level data of coal consumption at the national and provincial levels from 2000 to 2021, the annual and regional emissions were calculated using the formula \"emissions=emission factor x activity level\", thus constructing a long-term, high spatial resolution emission inventory. In addition, the WRF-FLEXPART atmospheric diffusion model was used to simulate the contribution of emissions from key provinces (Shandong, Hebei) to atmospheric concentrations at coastal observation stations (such as high-altitude stations).",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 0,
    "license_type": "https://creativecommons.org/licenses/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": [
        "CFC-11排放清单",
        "煤炭燃烧",
        "排放因子"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "中国"
    ],
    "ds_time_tags": [
        2000,
        2001,
        2002,
        2003,
        2004,
        2005,
        2006,
        2007,
        2008,
        2009,
        2010,
        2011,
        2012,
        2013,
        2014,
        2015,
        2016,
        2017,
        2018,
        2019,
        2020,
        2021
    ],
    "ds_contributors": [
        {
            "true_name": "孔少飞",
            "email": "kongshaofei@cug.edu.cn",
            "work_for": "中国地质大学（武汉）",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "孔少飞",
            "email": "kongshaofei@cug.edu.cn",
            "work_for": "中国地质大学（武汉）",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "孔少飞",
            "email": "kongshaofei@cug.edu.cn",
            "work_for": "中国地质大学（武汉）",
            "country": "中国"
        }
    ],
    "category": "生态"
}