本数据集首次提供了包括西藏在内的中国31个省份的日二氧化碳排放数据，覆盖电力、工业和地面运输三个行业。首次公布了各省二氧化碳排放量的季节、周、假日变化情况。将周和节假日信息作为归因添加到本数据集中，以便进一步分析周末和节假日对中国二氧化碳排放的影响。这种细粒度和及时性的清单将有助于在大流行恢复期间和正在进行的能源转型期间对二氧化碳排放进行更本地化和适应性的管理。", "ds_source": "
泽诺多网站https://zenodo.org/records/4730175", "ds_process_way": "
收集、整理、分析。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2019-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 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": 6487064, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "be4dd4ae-901c-4c73-b884-237506394498.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": "2023-12-27 10:49:19", "last_updated": "2026-01-14 11:04:32", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6665.2024", "i18n": { "en": { "title": "Daily CO2 emission for China's provinces in 2019 and 2020", "ds_format": "excel", "ds_source": "
Zenodo website https://zenodo.org/records/4730175", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This data set provides daily carbon dioxide emission data of 31 provinces in China, including Xizang, for the first time, covering three industries: power, industry and ground transportation. The seasonal, weekly, and holiday changes in carbon dioxide emissions in each province were announced for the first time. Add week and holiday information as attribution to this dataset for further analysis of the impact of weekends and holidays on China's carbon dioxide emissions. This fine-grained and timely inventory will contribute to more localized and adaptive management of carbon dioxide emissions during pandemic recovery and ongoing energy transition periods.
", "ds_time_res": "日", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Collect, organize, and analyze.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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": [ "碳排放", "地面运输量", "工业总和" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2019, 2020 ], "ds_contributors": [ { "true_name": "刘竹", "email": "zhuliu@tsinghua.edu.cn", "work_for": "清华大学地球系统科学系", "country": "中国" }, { "true_name": "崔铎", "email": "duocuithucas@gmail.com", "work_for": "清华大学地球系统科学系", "country": "中国" }, { "true_name": "邓铸", "email": "zhudeng94@gmail.com", "work_for": "清华大学地球系统科学系", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘竹", "email": "zhuliu@tsinghua.edu.cn", "work_for": "清华大学地球系统科学系", "country": "中国" }, { "true_name": "崔铎", "email": "duocuithucas@gmail.com", "work_for": "清华大学地球系统科学系", "country": "中国" }, { "true_name": "邓铸", "email": "zhudeng94@gmail.com", "work_for": "清华大学地球系统科学系", "country": "中国" } ], "ds_managers": [ { "true_name": "刘竹", "email": "zhuliu@tsinghua.edu.cn", "work_for": "清华大学地球系统科学系", "country": "中国" } ], "category": "气象" }